UC San Diego Engineers Develop Battery-Free Wearable Patch for Real-Time Parkinson’s Dosing
What You Should Know Engineers and neuroscientists at UC San Diego have developed a soft, sweat-powered fingertip patch that continuously monitors levodopa levels in patients with Parkinson’s disease without requiring external batteries or blood draws. Features a specially engineered absorbent gel packed with salts and benign solvents that passively draws sweat from the fingertip’s dense ... Read More
<img width="501" height="334" src="https://hitconsultant.net/wp-content/uploads/2026/07/Sweat-Powered-Fingertip-Patch-Accurately-Monitors-Parkinsons-Medication.jpeg" alt="UC San Diego Engineers Develop Battery-Free Wearable Patch for Real-Time Parkinson’s Dosing" class="wp-image-96999" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/Sweat-Powered-Fingertip-Patch-Accurately-Monitors-Parkinsons-Medication.jpeg 501w, https://hitconsultant.net/wp-content/uploads/2026/07/Sweat-Powered-Fingertip-Patch-Accurately-Monitors-Parkinsons-Medication-300x200.jpeg 300w, https://hitconsultant.net/wp-content/uploads/2026/07/Sweat-Powered-Fingertip-Patch-Accurately-Monitors-Parkinsons-Medication-290x193.jpeg 290w" sizes="(max-width: 501px) 100vw, 501px" /> What You Should Know Engineers and neuroscientists at UC San Diego have developed a soft, sweat-powered fingertip patch that continuously monitors levodopa levels in patients with Parkinson’s disease without requiring external batteries or blood draws. Features a specially engineered absorbent gel packed with salts and benign solvents that passively draws sweat from the fingertip’s dense network of sweat glands via osmosis. Embedded enzymes react with levodopa in sweat to generate both the electric voltage that powers the device and real-time concentration readouts matching standard laboratory blood tests. Clinical tests revealed that individuals with Parkinson’s clear levodopa significantly faster than healthy controls, explaining sudden, severe symptom deterioration and dangerous dosing gaps. Published in PNAS, the technology lays the groundwork for an autonomous closed-loop system where continuous monitoring patches communicate directly with automated drug delivery pumps. How UC San Diego’s Sweat-Powered Fingertip Patch Enables Continuous Levodopa Monitoring The neurology, movement disorder clinical management, and wearable bio-sensor sectors face a persistent therapeutic challenge: navigating the narrowing window of Parkinson’s disease medication. Levodopa remains the gold-standard treatment for managing the loss of motor control caused by Parkinson’s disease. However, optimizing dosage schedules is notoriously difficult. Under-dosing leaves patients frozen and unable to move, while over-dosing triggers severe, involuntary jerking movements known as dyskinesia. As Parkinson’s progresses, a patient’s therapeutic window shrinks from several hours down to less than two hours. To adjust daily medication schedules, movement disorder specialists currently rely on subjective patient paper diaries or delayed laboratory blood draws. These retrospective methods routinely fail to capture rapid, dangerous drug clearance gaps, leaving clinicians blind to real-time metabolic fluctuations. To eliminate subjective dosing guesswork and enable continuous, non-invasive pharmacokinetic tracking, researchers at the University of California San Diego have developed a soft, wearable fingertip patch that continuously monitors levodopa levels through sweat. Published in the Proceedings of the National Academy of Sciences (PNAS), the battery-free device operates purely on the chemical reaction of the patient’s sweat, delivering accuracy comparable to traditional laboratory blood testing. Osmotic Hydrogel Extraction and Self-Powered Enzymatic Sensing The fingertip patch combines chemical engineering, soft robotics, and neuro-pharmacology to convert passive sweat into actionable clinical signals: Osmotic Sweat Sponge: Capitalizes on the high density of sweat glands in the human fingertip. An absorbent gel containing a concentrated salt mixture draws sweat out through osmotic pressure without requiring physical exertion or thermal stimulation. Self-Powered Enzymatic Voltage: Embedded enzymes react directly with levodopa in the extracted sweat, triggering a chemical reaction that generates the small electrical voltage required to power the device. Proportional Signal Prototyping: The magnitude of voltage generated correlates directly with systemic levodopa concentrations—higher voltage indicates peak therapeutic levels, while dropping voltage signals rapid drug clearance. Pharmacokinetic Discovery: Clinical validation across healthy controls and Parkinson’s patients proved that individuals living with Parkinson’s clear levodopa significantly faster than healthy subjects, providing a clear biological explanation for sudden symptom crashes. “Every minute counts in stroke care… Our portable, AI-enhanced MRI-based brain imaging technology is designed to rapidly detect acute stroke,” noted co-researchers across parallel wearable sensor initiatives at UC San Diego. Led by study co-first author Tamoghna Saha alongside Dr. Joseph Wang (Jacobs School of Engineering) and Dr. Irene Litvan (Department of Neurosciences), the project demonstrates how cross-disciplinary engineering transforms chronic disease management. This breakthrough complements parallel advancements across the connected bio-sensor landscape—echoing Samsung Health’s integration of Galaxy Ring energy metrics into clinical workflows, Inner Logic’s $11.5M seed for virtual surgical device simulation, and HealthEx’s TEFCA-accredited personal data wallet. As the UC San Diego team advances the patch toward closed-loop pump integrations and commercial manufacturing, it sets a landmark operational blueprint for how wearable micro-electronics will redefine personalized neurology and home-based continuous care.
Flourish Health Raises $26M to Expand In-Home High-Acuity Pediatric Mental Health
What You Should Know High-acuity pediatric mental health provider Flourish Health announced a $26M Series A funding round led by B Capital, F-Prime, and Cherryrock Capital, bringing total capital raised to $46M. Health plan studies show Flourish’s in-home care model achieves a 70%–96% decrease in hospitalizations, a 69%–90% reduction in residential stays, and an 80%–95% ... Read More
<img loading="lazy" width="1405" height="1066" src="https://hitconsultant.net/wp-content/uploads/2026/07/Flourish-Health.jpg" alt="Flourish Health Raises $26M to Expand In-Home High-Acuity Pediatric Mental Health" class="wp-image-97003" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/Flourish-Health.jpg 1405w, https://hitconsultant.net/wp-content/uploads/2026/07/Flourish-Health-300x228.jpg 300w, https://hitconsultant.net/wp-content/uploads/2026/07/Flourish-Health-290x220.jpg 290w, https://hitconsultant.net/wp-content/uploads/2026/07/Flourish-Health-768x583.jpg 768w" sizes="(max-width: 1405px) 100vw, 1405px" /> What You Should Know High-acuity pediatric mental health provider Flourish Health announced a $26M Series A funding round led by B Capital, F-Prime, and Cherryrock Capital, bringing total capital raised to $46M. Health plan studies show Flourish’s in-home care model achieves a 70%–96% decrease in hospitalizations, a 69%–90% reduction in residential stays, and an 80%–95% sustained reduction in higher levels of post-discharge care. Multidisciplinary care teams unite a child and adolescent psychiatrist, a licensed therapist, a patient guide, and a family guide to address complex needs like disruptive conduct disorders, severe suicidal ideation, and family trauma. Replaces static legacy EMRs with a custom work hub that automates administrative friction and team scheduling, maintaining a 92% month-over-month patient retention rate over 12-month care programs. Partners across major national commercial health plans, state Medicaid programs, and specialty foster care networks, guaranteeing care initiation within one week of referral. AI-Enabled “Care Pods” and EMR Integration Flourish Health replaces fragmented referral loops with a custom-built, AI-automated work hub designed for intensive team-based care: The Care Pod Architecture: Assigns every patient to a synchronized 4-person team—a child and adolescent psychiatrist, licensed therapist, patient guide, and family guide—delivering care within 7 days of referral. AI Workflow Automation Engine: Resolves EMR administrative overhead, prescribing tasks, and team scheduling, allowing human clinicians to maximize direct clinical engagement. Between-Visit Engagement Rails: Uses automated touchpoints to reinforce therapy skills, parent coaching, school advocacy, and medication troubleshooting between formal clinical sessions. Longitudinal Cost Efficiency: Achieves a 92% month-over-month retention rate across 12-month care programs, delivering long-term stabilization at a fraction of the cost of a single month of inpatient residential care. “We built Flourish Health for the kids and families other providers are forced to turn away. With the right care team, the right technology and time to build trust, we’ve proven that kids in crisis can stabilize, recover and thrive at home,” stated Natalia Birgisson, MD, Co-Founder and CEO of Flourish Health. As Flourish Health expands its health plan contracts nationally, it establishes a decisive operational benchmark for how AI-assisted human clinical care can transform pediatric crisis management into an automated, auditable, and compassionate system of care.
Labcorp Launches Marker Genetic Health Panel on Labcorp OnDemand for 100+ Actionable Conditions
What You Should Know Labcorp has unveiled the Marker by Labcorp™ Genetic Health Panel, an integrated consumer offering evaluating 163 genes associated with over 100 medically actionable hereditary conditions (including cancer, cardiovascular, and metabolic risks). Leverages Labcorp’s clinical testing infrastructure and newly integrated Invitae genetic assets to shift direct-to-consumer testing away from recreational ancestry toward ... Read More
<img loading="lazy" width="1139" height="499" src="https://hitconsultant.net/wp-content/uploads/2026/07/Marker-by-Labcorp.jpg" alt="" class="wp-image-97007" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/Marker-by-Labcorp.jpg 1139w, https://hitconsultant.net/wp-content/uploads/2026/07/Marker-by-Labcorp-300x131.jpg 300w, https://hitconsultant.net/wp-content/uploads/2026/07/Marker-by-Labcorp-290x127.jpg 290w, https://hitconsultant.net/wp-content/uploads/2026/07/Marker-by-Labcorp-768x336.jpg 768w" sizes="(max-width: 1139px) 100vw, 1139px" /> What You Should Know Labcorp has unveiled the Marker by Labcorp Genetic Health Panel, an integrated consumer offering evaluating 163 genes associated with over 100 medically actionable hereditary conditions (including cancer, cardiovascular, and metabolic risks). Leverages Labcorp’s clinical testing infrastructure and newly integrated Invitae genetic assets to shift direct-to-consumer testing away from recreational ancestry toward clinical-grade, actionable disease prevention. Integrates consumer-initiated ordering via Labcorp OnDemand with blood collection across Labcorp’s 2,200+ Patient Service Centers (PSCs) and result delivery through the AI-powered MyLabcorp app. Every panel includes consultations with licensed genetic counselors to help users interpret findings, alongside features enabling seamless data sharing with primary care physicians. The panel will officially become available to consumers nationwide starting August 3, 2026. Invitae Engine and MyLabcorp AI Integration The Marker by Labcorp panel serves as a major commercial deployment of Labcorp’s broader clinical infrastructure following its acquisition of Invitae’s genetic testing assets: 163-Gene Actionable Coverage: Evaluates high-penetrance risk variants across hereditary oncology (e.g., BRCA1/2, Lynch syndrome), cardiovascular conditions (e.g., familial hypercholesterolemia, cardiomyopathies), and metabolic disorders. Phlebotomy-Grade Accuracy: Mandates professional blood draws across Labcorp’s network of 2,200+ PSCs, avoiding the sample degradation and high re-test rates typical of home saliva kits. Embedded Genetic Counseling Rail: Includes mandatory post-test clinical support from licensed genetic counselors to interpret positive, negative, or uncertain variants and discuss actionable monitoring pathways. MyLabcorp AI Synchronization: Feeds genetic reports into Labcorp’s AI-powered mobile app, consolidating inherited genomic risk profiles alongside routine clinical blood biomarkers (e.g., lipid panels, HbA1c). “Genetic information can play an important role in identifying health risks before symptoms appear, yet millions of people are unaware they carry an inherited genetic variant,” stated Dr. Leslie Saltzman, Vice President of Consumer Health Solutions at Labcorp. “Consumers can now access both biomarker and genetic testing through Labcorp OnDemand from a single source, supporting a more comprehensive approach to understanding their health.” As Marker by Labcorp goes live on August 3, 2026, it sets a clear operational benchmark for how legacy laboratory giants can transform consumer health from an isolated novelty into an automated, auditable, and clinically integrated engine of preventive care.
HealthEx Unveils TEFCA-Accredited HealthEx Wallet & Partners with Sharecare to to Ground AskMD in Whole-Health Clinical Context
What You Should Know At the Centers for Medicare & Medicaid Services (CMS) Health Technology Ecosystem event, HealthEx introduced HealthEx Wallet (a TEFCA-accredited personal health record app) and announced a major integration with Sharecare’s AskMD. HealthEx operates as a federally accredited Trusted Exchange Framework and Common Agreement (TEFCA) Individual Access Services (IAS) provider. It verifies ... Read More
<img loading="lazy" width="874" height="459" src="https://hitconsultant.net/wp-content/uploads/2026/07/HealthEx-Wallet.jpg" alt="HealthEx Unveils TEFCA-Accredited HealthEx Wallet & Partners with Sharecare to to Ground AskMD in Whole-Health Clinical Context" class="wp-image-97000" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/HealthEx-Wallet.jpg 874w, https://hitconsultant.net/wp-content/uploads/2026/07/HealthEx-Wallet-300x158.jpg 300w, https://hitconsultant.net/wp-content/uploads/2026/07/HealthEx-Wallet-290x152.jpg 290w, https://hitconsultant.net/wp-content/uploads/2026/07/HealthEx-Wallet-768x403.jpg 768w" sizes="(max-width: 874px) 100vw, 874px" /> What You Should Know At the Centers for Medicare & Medicaid Services (CMS) Health Technology Ecosystem event, HealthEx introduced HealthEx Wallet (a TEFCA-accredited personal health record app) and announced a major integration with Sharecare’s AskMD. HealthEx operates as a federally accredited Trusted Exchange Framework and Common Agreement (TEFCA) Individual Access Services (IAS) provider. It verifies identities using the IAL2 standard and manages records under enterprise-grade HIPAA encryption. The Sharecare AskMD partnership enables users to securely connect their lifetime clinical records (labs, medications, conditions, notes) directly to AskMD’s health navigation engine, replacing fragmented self-reporting with unified health data. Users maintain complete control over data connections, choosing exactly what records to share with doctors, plans, digital health apps, or AI platforms—and retain the ability to revoke access instantly from one unified dashboard. Rollout begins immediately for ecosystem partners and CMS waitlist members, expanding to Medicare App Library users over the coming weeks. Wearable data streams and appointment prep features arrive later in 2026. TEFCA IAS Rail and Sharecare AskMD Integration <img loading="lazy" width="877" height="447" src="https://hitconsultant.net/wp-content/uploads/2026/07/HealthEx-to-Help-Americans-Bring-Their-Medical-Records-into-AskMD-by-Sharecare.jpg" alt="HealthEx Unveils TEFCA-Accredited HealthEx Wallet & Partners with Sharecare to to Ground AskMD in Whole-Health Clinical Context" class="wp-image-97001" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/HealthEx-to-Help-Americans-Bring-Their-Medical-Records-into-AskMD-by-Sharecare.jpg 877w, https://hitconsultant.net/wp-content/uploads/2026/07/HealthEx-to-Help-Americans-Bring-Their-Medical-Records-into-AskMD-by-Sharecare-300x153.jpg 300w, https://hitconsultant.net/wp-content/uploads/2026/07/HealthEx-to-Help-Americans-Bring-Their-Medical-Records-into-AskMD-by-Sharecare-290x148.jpg 290w, https://hitconsultant.net/wp-content/uploads/2026/07/HealthEx-to-Help-Americans-Bring-Their-Medical-Records-into-AskMD-by-Sharecare-768x391.jpg 768w" sizes="(max-width: 877px) 100vw, 877px" /> HealthEx operates as a secure trust and interoperability layer connecting enterprise health systems to consumer applications: TEFCA Individual Access Services (IAS) Integration: Taps into TEFCA and FHIR endpoint directories to query and pull medical records nationwide automatically upon identity verification. IAL2 Federal Identity Verification: Ensures every record query and data link is grounded in federal-grade digital identity verification (IAL2) and HIPAA-compliant encryption. Granular Consent & Revocation Layer: Provides users with a single dashboard showing active and inactive app permissions, enabling instant, one-tap access revocation. Clinical Context Engine for AskMD: Ingests structured labs, medications, diagnoses, and unstructured clinical notes directly into Sharecare’s AskMD health navigation engine, sharpening personalized symptom guidance and local in-network care routing. As HealthEx expands Wallet access across Medicare members and integrates wearable data streams, it establishes a vital operational blueprint for how consumer-permissioned data networks will power the next era of personal, AI-guided healthcare.
Lapsi Health Partners with Redox to Integrate Keikku Clinical AI Platform Directly Into EHR Infrastructure
What You Should Know Dutch-American clinical AI developer Lapsi Health has partnered with healthcare data interoperability leader Redox to natively connect Lapsi’s Keikku Clinical Platform into health system Electronic Health Record (EHR) environments. Addresses “point-solution fatigue” by embedding ambient clinical documentation, contextual reference, and diagnostic insights directly into existing chart workflows so clinicians never have ... Read More
<img loading="lazy" width="798" height="419" src="https://hitconsultant.net/wp-content/uploads/2026/07/image-16.png" alt="" class="wp-image-97016" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/image-16.png 798w, https://hitconsultant.net/wp-content/uploads/2026/07/image-16-300x158.png 300w, https://hitconsultant.net/wp-content/uploads/2026/07/image-16-290x152.png 290w, https://hitconsultant.net/wp-content/uploads/2026/07/image-16-768x403.png 768w" sizes="(max-width: 798px) 100vw, 798px" /> What You Should Know Dutch-American clinical AI developer Lapsi Health has partnered with healthcare data interoperability leader Redox to natively connect Lapsi’s Keikku Clinical Platform into health system Electronic Health Record (EHR) environments. Addresses “point-solution fatigue” by embedding ambient clinical documentation, contextual reference, and diagnostic insights directly into existing chart workflows so clinicians never have to leave the EHR. Taps into the Redox Connection Network, which spans more than 12,000 healthcare organizations and 100+ EHR systems, drastically reducing integration timelines and technical overhead. Keikku can be deployed as a software-only solution or paired with purpose-built clinical hardware supporting ambient audio capture and digital diagnostic auscultation. Multi-Modal Capture and Real-Time Interoperability To eliminate workflow friction and accelerate production deployment, Lapsi Health has partnered with Redox to integrate the Keikku Clinical Platform directly into health system EHR infrastructure. By combining Keikku’s multi-modal clinical AI with Redox’s nationwide interoperability network, the partnership enables provider organizations to deploy advanced documentation and diagnostic tools without forcing clinicians out of their daily chart workflows. The integration establishes a seamless bidirectional data chassis connecting Lapsi Health’s hardware and software ecosystem with enterprise EHRs: The Keikku AI Platform: Synthesizes ambient audio documentation, real-time contextual clinical references, and diagnostic support into a single unified clinical interface. Hardware-Enabled Diagnostic Auscultation: Supports purpose-built clinical hardware capable of capturing high-fidelity ambient room audio alongside acoustic body signals (auscultation) for instant AI-assisted evaluation. Redox Connection Network: Leverages pre-built API connectors across 12,000+ healthcare sites and 100+ EHR platforms (including Epic, Oracle Health/Cerner, and MEDITECH) to translate, normalize, and write back clinical notes in real time. Accelerated Production Onboarding: Replaces manual point-to-point interface builds with a scalable data infrastructure layer, shortening implementation cycles from months to weeks. “Healthcare doesn’t need more disconnected AI tools. Teams need solutions that integrate naturally into existing clinical workflows,” stated Rodrigo Alvez, Chief Technology Officer at Lapsi Health. “Our collaboration with Redox helps healthcare organizations reduce integration complexity, accelerate implementation, and connect AI-powered clinical intelligence with the systems clinicians already rely on every day.”
Inner Logic Raises $11.5M to Build Simulation Infrastructure for Procedural Devices
What You Should Know Baltimore-based Inner Logic (formerly Semaphor) has secured an $11.5M seed round co-led by General Catalyst and Bison Ventures, with participation from J2VP, Defined, PTX, Valia Ventures, Page One, Alumni Ventures, and Flare. Replaces costly physical cadaver labs and animal testing by giving device manufacturers a virtual testing environment to design, iterate, ... Read More
<img loading="lazy" width="1197" height="306" src="https://hitconsultant.net/wp-content/uploads/2026/07/Inner-Logic.jpg" alt="Inner Logic Raises $11.5M to Build Simulation Infrastructure for Procedural Devices" class="wp-image-97002" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/Inner-Logic.jpg 1197w, https://hitconsultant.net/wp-content/uploads/2026/07/Inner-Logic-300x77.jpg 300w, https://hitconsultant.net/wp-content/uploads/2026/07/Inner-Logic-290x74.jpg 290w, https://hitconsultant.net/wp-content/uploads/2026/07/Inner-Logic-768x196.jpg 768w" sizes="(max-width: 1197px) 100vw, 1197px" /> What You Should Know Baltimore-based Inner Logic (formerly Semaphor) has secured an $11.5M seed round co-led by General Catalyst and Bison Ventures, with participation from J2VP, Defined, PTX, Valia Ventures, Page One, Alumni Ventures, and Flare. Replaces costly physical cadaver labs and animal testing by giving device manufacturers a virtual testing environment to design, iterate, and validate procedural devices across thousands of virtual patient anatomical models overnight. Provides the physics-based computer vision and physical AI simulation layer necessary to train, test, and deploy fully autonomous and intelligent surgical systems safely before clinical deployment. Co-founded by CEO Tito Porras, MD (former Johns Hopkins neurosurgery resident), CTO Mathias Unberath, PhD (Johns Hopkins computer vision expert), and Chief Robotics Officer Axel Krieger, PhD (pioneer behind the first autonomous laparoscopic soft-tissue surgery). Successfully trained AI algorithms entirely in simulation for real-hardware orthopedic trauma deployment, as well as performing autonomous gallbladder removal steps in a live animal model without human surgeon intervention. In Silico Surgical Autonomy The medical device manufacturing, surgical robotics, and procedural technology sectors are confronting an acute R&D bottleneck. For decades, surgical device innovation—from interventional catheters and heart valves to robotic arms—has relied almost entirely on physical trial and error. Engineering teams construct physical prototypes, test them in cadaver labs or animal models, and evaluate performance one costly experiment at a time. This physical testing cycle is inherently flawed. Cadaver and animal studies are prohibitively expensive, logistically complex, and represent only a narrow slice of the vast anatomical variations, tissue pathologies, and edge-case failure scenarios encountered in real-world operating rooms. Moreover, as surgical devices shift from passive mechanical tools to intelligent, autonomous systems, relying solely on physical testing becomes mathematically impossible—the range of operational parameters is too broad for physical labs alone to validate. To eliminate physical prototyping constraints and build the foundational data infrastructure for procedural autonomy, Inner Logic (formerly Semaphor), allows device manufacturers to design and validate physical and robotic tools across thousands of virtual patients grounded in real clinical data. Physical AI and Physics-Based Simulation Inner Logic’s platform creates an in silico intelligence layer that mirrors the simulation frameworks that enabled autonomous vehicle navigation: Anatomical Synthetic Population Engine: Generates high-fidelity virtual patients built from real clinical imaging and procedural datasets, ensuring simulation results hold true in physical clinical settings. Physics-Based Sensor & Computer Vision Modeling: Simulates real-time tissue deformation, anatomical variation, and imaging conditions to train computer vision models without human annotation bottlenecks. Orthopedic & Soft-Tissue Autonomy Proofs: Validated end-to-end by training orthopedic AI models entirely in simulation for real hardware deployment, alongside autonomous laparoscopic gallbladder removal in live animal models. Multi-Patent Intellectual Property: Developed by a founding team holding over 40 patents and 400 peer-reviewed publications across surgical computer vision, robotics, and physical AI. “Surgery is on the same path as autonomous driving, which became real once the industry built the simulation and data systems to show a car could drive itself,” stated Tito Porras, MD, Co-Founder and CEO of Inner Logic. “At Inner Logic, we are building that layer for all of procedural medicine starting with the way devices are designed and tested. When device makers can develop and prove intelligent systems this way, the quality of a patient’s care stops depending on which hospital they can access or which surgeon is on call.” As Inner Logic rolls out its development infrastructure across medical device manufacturers, it establishes a decisive operational foundation to shift surgery from a manual craft into an automated, auditable, and accessible science.
Medidata Launches Medidata Plus AI Layer to Standardize Clinical Trial Data and Workflows
What You Should Know Medidata, a Dassault Systèmes brand, has launched Medidata Plus, an embedded clinical artificial intelligence layer designed to unlock scalable AI capabilities across the entire Medidata Platform. While 92% of life sciences decision-makers plan to increase AI spend, only 29% report AI meets their expectations. Medidata Plus eliminates disparate point solutions, providing ... Read More
<img loading="lazy" width="1417" height="890" src="https://hitconsultant.net/wp-content/uploads/2026/07/Medidata-Plus.jpg" alt="" class="wp-image-96996" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/Medidata-Plus.jpg 1417w, https://hitconsultant.net/wp-content/uploads/2026/07/Medidata-Plus-300x188.jpg 300w, https://hitconsultant.net/wp-content/uploads/2026/07/Medidata-Plus-290x182.jpg 290w, https://hitconsultant.net/wp-content/uploads/2026/07/Medidata-Plus-768x482.jpg 768w" sizes="(max-width: 1417px) 100vw, 1417px" /> What You Should Know Medidata, a Dassault Systèmes brand, has launched Medidata Plus, an embedded clinical artificial intelligence layer designed to unlock scalable AI capabilities across the entire Medidata Platform. While 92% of life sciences decision-makers plan to increase AI spend, only 29% report AI meets their expectations. Medidata Plus eliminates disparate point solutions, providing a predictable, standardized data layer across the trial lifecycle. Automates Electronic Data Capture (EDC) and Electronic Clinical Outcome Assessment (eCOA) design while generating synthetic patient data for testing—compressing study build timelines from weeks to mere hours. Ingests and standardizes clinical and real-world data without coding, featuring agentic natural-language AI to query audit histories and embedded predictive analytics to flag enrollment and safety risks early. How Medidata Plus Unifies Clinical R&D Across Global Portfolios The clinical research, biopharmaceutical R&D, and Contract Research Organization (CRO) sectors are facing an efficiency bottleneck. While 92% of life sciences decision-makers plan to increase AI investments, only 29% state that their current AI deployments meet or exceed expectations. This disparity stems from vendor and tool fragmentation. Over the past several years, sponsors and CROs adopted an array of disconnected, single-use AI tools—stitching together specialized software for study design, site selection, patient recruiting, and data management. This patchwork approach created unpredictable software expenses, fragmented data silos, and complex integration requirements that ultimately slowed down clinical trial timelines. To eliminate point-solution complexity and standardize artificial intelligence across the entire clinical development lifecycle, Medidata has announced the launch of Medidata Plus, a unified clinical AI layer built directly into the Medidata Platform. By replacing fragmented point solutions with an end-to-end AI foundation, Medidata Plus provides global biopharma leaders and CROs with a drop-in AI strategy that delivers predictable costs, streamlined data governance, and accelerated trial execution. No-Code Transformation and Agentic Audit Exploration Medidata Plus introduces a clinically fluent intelligence layer across every operational phase of global trial execution: Accelerated Study Builds: Reduces initial setup timelines from weeks to hours by automating EDC and eCOA workflow generation and constructing synthetic patient datasets for rapid User Acceptance Testing (UAT). No-Code Data Transformation: Standardizes and harmonizes data streams across disparate clinical trial management systems (CTMS), wearable sensors, and real-world data (RWD) sources without custom programming. Proactive Risk Triage: Leverages real-time predictive analytics to detect enrollment downtrends and early safety signals, mitigating mid-trial pauses and streamlining regulatory inspection readiness. Agentic AI Audit Mining: Enables study teams to interrogate end-to-end audit logs using natural-language queries, converting complex compliance data into immediate, actionable regulatory intelligence. “Stitching together point solutions isn’t a strategy — it’s a liability. Drug development’s next leap will come when AI is consistent, connected, and portfolio-wide,” stated Dr. Nimita Limaye, Research VP, Life Sciences R&D Strategy and Technology at IDC. “Medidata Plus delivers this with a cohesive AI layer across the entire lifecycle.”
￼Cigna Healthcare Expands AI-Enabled Care Management to Reach 20% More Customers
What You Should Know Cigna Healthcare is expanding its personalized care management programs by 20% using AI-enabled capabilities and predictive analytics to identify individuals with emerging, complex, or chronic conditions. By connecting high-risk members with over 1,250 Cigna clinicians, engaged customers save an average of $2,000 annually, generating an estimated $200M in total medical savings ... Read More
<img loading="lazy" width="407" height="223" src="https://hitconsultant.net/wp-content/uploads/2026/07/Cigna-Healthcare-Logo.jpg" alt=" Cigna Healthcare Expands AI-Enabled Care Management to Reach 20% More Customers" class="wp-image-96970" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/Cigna-Healthcare-Logo.jpg 407w, https://hitconsultant.net/wp-content/uploads/2026/07/Cigna-Healthcare-Logo-300x164.jpg 300w, https://hitconsultant.net/wp-content/uploads/2026/07/Cigna-Healthcare-Logo-290x159.jpg 290w" sizes="(max-width: 407px) 100vw, 407px" /> What You Should Know Cigna Healthcare is expanding its personalized care management programs by 20% using AI-enabled capabilities and predictive analytics to identify individuals with emerging, complex, or chronic conditions. By connecting high-risk members with over 1,250 Cigna clinicians, engaged customers save an average of $2,000 annually, generating an estimated $200M in total medical savings over three years. Advanced predictive models detect breast, colorectal, and lung cancer diagnoses earlier by approximately 55, 46, and 37 days, respectively. Early customer engagement through AI-prioritized outreach yields a 42% reduction in avoidable inpatient hospital stays and maintains a 95% customer satisfaction rating. Integrates AI insights directly into clinician workflows, routing personalized support through member-preferred channels (phone, text, email, and digital tools) while complementing administrative services like My Personal Champion. Predictive Analytics and Multichannel Care Coordination At the technological core of Cigna’s expansion is an AI-native prioritization layer designed to supercharge its workforce of over 1,250 registered nurses, behavioral health specialists, and care navigators: Early Signal Detection Models: Advanced algorithms process longitudinal data streams to flag emerging chronic risks, identifying potential breast, colorectal, and lung cancers 55, 46, and 37 days earlier than standard claims pathways. 42% Avoidable Inpatient Stay Reduction: Early clinical connection translates directly into acute care diversion, yielding a 42% drop in avoidable hospital stays among engaged members. Multichannel Communication Engine: Dynamically connects members with clinicians across preferred touchpoints—including phone, text, email, and digital portals—to answer questions and coordinate complex care. Integrated Administrative Support: Synthesizes clinical guidance with administrative navigation services like My Personal Champion to clear prior authorizations, resolve claims disputes, and ensure continuous care. “As costs for hospital care, emergency services, and prescription drugs continue to rise, we are investing in tools and clinical programs that help customers avoid unnecessary hospitalizations… and reduce the likelihood of more serious and expensive health events later,” stated Bryan Holgerson, President of Cigna Healthcare U.S.
Wellumio Closes $9.75M to Commercialize Axana Portable Brain Imaging Device
What You Should Know New Zealand medical technology startup Wellumio has finalized its oversubscribed $9.75M pre-Series A funding round, adding international venture capital from Australia (Bioshore Ventures) and the United States (Jumpspace Ventures). Led by Nuance Connected Capital, with continued participation from Icehouse Ventures, NZGCP Aspire Seed Fund, Pacific Channel, Booster, Cure Kids Ventures, Enterprise ... Read More
<img loading="lazy" width="449" height="351" src="https://hitconsultant.net/wp-content/uploads/2026/07/Wellumio-Closes-9.75M-to-Commercialize-Axana-Portable-Brain-Imaging-Device-.jpg" alt="Wellumio Closes $9.75M to Commercialize Axana Portable Brain Imaging Device" class="wp-image-96993" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/Wellumio-Closes-9.75M-to-Commercialize-Axana-Portable-Brain-Imaging-Device-.jpg 449w, https://hitconsultant.net/wp-content/uploads/2026/07/Wellumio-Closes-9.75M-to-Commercialize-Axana-Portable-Brain-Imaging-Device--300x235.jpg 300w, https://hitconsultant.net/wp-content/uploads/2026/07/Wellumio-Closes-9.75M-to-Commercialize-Axana-Portable-Brain-Imaging-Device--290x227.jpg 290w" sizes="(max-width: 449px) 100vw, 449px" /> What You Should Know New Zealand medical technology startup Wellumio has finalized its oversubscribed $9.75M pre-Series A funding round, adding international venture capital from Australia (Bioshore Ventures) and the United States (Jumpspace Ventures). Led by Nuance Connected Capital, with continued participation from Icehouse Ventures, NZGCP Aspire Seed Fund, Pacific Channel, Booster, Cure Kids Ventures, Enterprise Angels, Flying Kiwi, the NZ Active Investor Plus program, and Snowball Effect. Wellumio’s flagship device, Axana®, weighs just 50kg and requires no contrast agents, cryogenics, helium, or RF-shielded rooms, allowing point-of-care deployment directly at the emergency room bedside. Powered by proprietary Pulsed Gradient Free Mapping (PGFM) technology (granted a U.S. patent in December 2025), which has demonstrated clinical parity with conventional high-field MRI across key acute stroke biomarkers. Pulsed Gradient Free Mapping (PGFM) at Scale At the core of Wellumio’s Axana® system is its proprietary Pulsed Gradient Free Mapping (PGFM) method—a patented approach to ultra-low-field magnetic resonance designed specifically for point-of-care triage: Infrastructure-Free Deployment: Operating on standard battery power at 50kg, Axana® eliminates the need for expensive RF shielding, liquid helium cooling, or contrast media injections. Patented PGFM Mapping: Uses fixed permanent magnet arrays combined with radiofrequency sequence mapping to measure tissue perfusion and water diffusion changes without heavy gradient coils. Clinical Parity with High-Field MRI: Preclinical and first-in-human feasibility trials demonstrate agreement with conventional 1.5T/3T MRI systems across primary stroke biomarkers. AI-Enhanced Signal Processing: Onboard machine learning models synthesize raw RF data signals to instantly differentiate ischemic tissue damage and brain bleeds, generating clear clinical guidance for ED physicians. “Every minute counts in stroke care, yet only a small proportion of patients receive treatment within the ‘golden hour’… Our portable, AI-enhanced MRI-based brain imaging technology is designed to rapidly detect acute stroke at the point of care, helping clinicians make faster treatment decisions when time matters most,” stated Dr. Shieak Tzeng, Co-founder and CEO of Wellumio. As Wellumio expands its clinical evaluation sites across Australia, the US, and New Zealand, it delivers the exact hardware and software infrastructure required to transform acute emergency medicine from a centralized, high-latency bottleneck into an automated, auditable, and secure system of instant point-of-care diagnosis.
AdvancedMD Expands Waystar-Powered Revenue Cycle Offerings for Independent Practices
What You Should Know Independent practice software leader AdvancedMD has expanded its revenue cycle management (RCM) suite with new Waystar-powered automation and AI capabilities. The launch directly addresses widespread provider friction—where 85% of medical groups rate payers poorly on reimbursement issues, and nearly 30% report worsening patient balance collections year-over-year. Key capabilities now live in ... Read More
<img loading="lazy" width="1024" height="715" src="https://hitconsultant.net/wp-content/uploads/2024/07/AdvancedMD-StackedLogo-1024x715-1.png" alt="AdvancedMD Summer Release Streamlines Revenue Cycle, Enhances EHR and Patient Engagement" class="wp-image-80535" srcset="https://hitconsultant.net/wp-content/uploads/2024/07/AdvancedMD-StackedLogo-1024x715-1.png 1024w, https://hitconsultant.net/wp-content/uploads/2024/07/AdvancedMD-StackedLogo-1024x715-1-300x209.png 300w, https://hitconsultant.net/wp-content/uploads/2024/07/AdvancedMD-StackedLogo-1024x715-1-290x202.png 290w, https://hitconsultant.net/wp-content/uploads/2024/07/AdvancedMD-StackedLogo-1024x715-1-768x536.png 768w" sizes="(max-width: 1024px) 100vw, 1024px" /> What You Should Know Independent practice software leader AdvancedMD has expanded its revenue cycle management (RCM) suite with new Waystar-powered automation and AI capabilities. The launch directly addresses widespread provider friction—where 85% of medical groups rate payers poorly on reimbursement issues, and nearly 30% report worsening patient balance collections year-over-year. Key capabilities now live in the AdvancedMD portal include Coverage Detection (finding hidden billable insurance), AI Denial and Appeal Management, Electronic Claim Attachments, Patient Estimation (90% accuracy), and EOB Conversion. Transitioning paper Explanation of Benefits (EOB) and manual claims attachments to standardized electronic workflows represents an estimated $1 billion in combined annual provider cost savings industry-wide. Features real-time Remit and Deposit Manager automated reconciliations alongside hundreds of prebuilt RCM KPI reports and configurable dashboards. AI-Driven Coverage, Denials, and Paperless Reconciliation The expanded suite delivers end-to-end automation across critical revenue cycle friction points directly inside the AdvancedMD portal: Coverage Detection: Uses advanced data automation to scan Waystar’s dataset, uncovering additional billable coverage to mitigate uncompensated care and bad debt without manual staff searches. AI Denial and Appeal Management: Deploys AI prioritization to identify high-impact, high-value denials. Prebuilt templates and root-cause analytics allow teams to file rapid electronic appeals and prevent recurring denial triggers. Paper-to-Electronic EOB Conversion: Automatically converts paper EOBs into standardized electronic files posted alongside Electronic Remittance Advice (ERA)—a workflow capability estimated to save healthcare providers nearly $900 million nationwide. Automated Remit and Deposit Matching: Reconciles payer deposits against remittances automatically to eliminate manual posting errors and accelerate cash flow. 90% Accurate Patient Estimations: Calculates clear patient financial responsibility prior to the appointment, boosting upfront point-of-care collections and price transparency. This announcement aligns seamlessly with parallel industry advancements—echoing Candid Health’s $120M Series D for autonomous RCM data models, Waystar’s market leadership in KLAS RCM suite rankings, Assured’s $19M Series A for autonomous credentialing agents, and Relatient’s deployment of agentic voice AI for patient access. As AdvancedMD rolls out these Waystar capabilities across its national user base, it provides the exact digital infrastructure required to transform independent ambulatory billing from a manual cost center into an automated, auditable, and entirely secure financial engine.
Candid Health Secures $120M to Expand Autonomous Revenue Cycle Management Platform
Karoo Health Secures $16.2M to Build Cardiovascular OS Infrastructure
What You Should Know Cardiovascular technology platform Karoo Health has closed a $16.2M Series A funding round co-led by 7wire Ventures and Allumia Ventures, with participation from First Trust Capital Partners, SpringRock Ventures, and Hyde Park Angels. Lee Shapiro (Managing Partner, 7wire Ventures) and Jeff Stolte (Managing Partner, Allumia Ventures) join Karoo Health’s Board of ... Read More
<img loading="lazy" width="640" height="136" src="https://hitconsultant.net/wp-content/uploads/2026/07/Karoo-Health-Logo.jpg" alt="Karoo Health Secures $16.2M to Build Cardiovascular OS Infrastructure" class="wp-image-96965" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/Karoo-Health-Logo.jpg 640w, https://hitconsultant.net/wp-content/uploads/2026/07/Karoo-Health-Logo-300x64.jpg 300w, https://hitconsultant.net/wp-content/uploads/2026/07/Karoo-Health-Logo-290x62.jpg 290w" sizes="(max-width: 640px) 100vw, 640px" /> What You Should Know Cardiovascular technology platform Karoo Health has closed a $16.2M Series A funding round co-led by 7wire Ventures and Allumia Ventures, with participation from First Trust Capital Partners, SpringRock Ventures, and Hyde Park Angels. Lee Shapiro (Managing Partner, 7wire Ventures) and Jeff Stolte (Managing Partner, Allumia Ventures) join Karoo Health’s Board of Directors. Karoo provides an AI-native connective platform that integrates clinical EHRs, claims history, pharmacy records, and care team inputs to enable early cardiac risk detection and coordinated care delivery. Independent analyses of deployed Karoo programs show over 40% reductions in emergency department visits and inpatient admissions, as well as a greater than 10% reduction in total cost of care across attributed populations. Karoo currently supports more than 600 cardiology providers across 11 states alongside partnerships with major national and regional health plans. Predictive Signal Detection and Multi-Stakeholder Integration At the center of Karoo Health’s platform is a unified data and workflow layer engineered to break down institutional silos: Integrated Signal Detection: Connects clinical EHR feeds, pharmacy fulfillment data, and claims history to surface early warning indicators of worsening heart failure or cardiovascular risk. Care Coordination Infrastructure: Coordinates workflows between primary care physicians, independent cardiologists, and health plan care managers to ensure consistent chronic disease management. Actionable Population Analytics: Enables cardiology groups to manage risk-bearing contracts while driving measurable reductions in total cost of care. “We’re at a seminal moment in our country’s fight against cardiovascular disease,” stated Ian Koons, CEO and Cofounder of Karoo Health. “We intend to use this capital to take another major step toward becoming the solution that enables every American to access earlier, more coordinated, and more effective cardiovascular care.”
Prosper Medical Secures $16M for AI-Powered Primary Care Platform
What You Should Know AI-powered primary care platform Prosper Medical has raised $16M in financing led by FUSE, with participation from Aurum Partners, Better.vc, Cal Innovation Fund, Fluent, Latitude Capital, Knoll Ventures, and WTI. Founded by Ryan McQuaid (CEO) and James Wantuck, MD (CMO), the former founders of PlushCare, which they built and sold to ... Read More
<img loading="lazy" width="1500" height="863" src="https://hitconsultant.net/wp-content/uploads/2026/07/Prosper-Medical-1500x863.jpg" alt=" Prosper Medical Secures $16M for AI-Powered Primary Care Platform" class="wp-image-96973" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/Prosper-Medical-1500x863.jpg 1500w, https://hitconsultant.net/wp-content/uploads/2026/07/Prosper-Medical-300x173.jpg 300w, https://hitconsultant.net/wp-content/uploads/2026/07/Prosper-Medical-290x167.jpg 290w, https://hitconsultant.net/wp-content/uploads/2026/07/Prosper-Medical-768x442.jpg 768w, https://hitconsultant.net/wp-content/uploads/2026/07/Prosper-Medical-1536x883.jpg 1536w, https://hitconsultant.net/wp-content/uploads/2026/07/Prosper-Medical-2048x1178.jpg 2048w" sizes="(max-width: 1500px) 100vw, 1500px" /> What You Should Know AI-powered primary care platform Prosper Medical has raised $16M in financing led by FUSE, with participation from Aurum Partners, Better.vc, Cal Innovation Fund, Fluent, Latitude Capital, Knoll Ventures, and WTI. Founded by Ryan McQuaid (CEO) and James Wantuck, MD (CMO), the former founders of PlushCare, which they built and sold to Accolade for $450 million. Prosper shifts away from “transactional” telehealth toward continuous, proactive concierge care by using AI to maintain lifetime patient context, aggregate clinical data, track test results, and coordinate specialist referrals between visits. Unlike traditional cash-pay concierge platforms, Prosper is in-network with major insurance plans and operates across all 50 states to make personalized care accessible beyond the ultra-wealthy. The AI care layer acts as an operational multiplier for physicians and Care Concierge Teams, identifying early risk signals without replacing direct doctor-patient relationships. Beyond Convenience Telehealth The primary care, digital health, and outpatient care management sectors face a persistent structural crisis. While the first wave of direct-to-consumer telemedicine made clinical appointments dramatically more convenient, convenience alone failed to fix the fundamental flaw of modern primary care: the loss of longitudinal patient-physician relationships. In traditional fee-for-service settings, primary care visits remain highly transactional. Physicians are forced to rush through 15-minute appointments, leaving critical clinical data, specialist referrals, lab follow-ups, and preventive care signals lost between visits. While membership-based concierge medical models solved this by offering high-touch, continuous care, their high out-of-pocket costs restricted the model to the ultra-wealthy. To democratize continuous concierge medicine and build an AI-native primary care engine, Prosper Medical’s platform utilizes AI agents to handle the massive administrative burden of post-visit follow-up, care orchestration, and data aggregation. The Continuous AI Care Layer and Clinical Supercharging At the core of Prosper’s care delivery model is an AI-powered care layer designed to eliminate context loss across a patient’s health journey: Longitudinal Data Aggregation: Continuously ingests and synthesizes health data, specialist records, and patient-reported metrics to keep care teams fully informed before every interaction. Post-Visit Workflow Automation: Automates routine post-encounter operational steps, including specialist navigation, lab follow-ups, and proactive health maintenance tracking. Care Concierge Orchestration: Combines dedicated Care Concierge Teams with real-time AI signal detection to flag clinical risks early and intervene long before acute exacerbations occur. In-Network Accessibility: Operates as an in-network provider across all 50 states, ensuring broad patient access without high cash-subscription barriers. “When we built PlushCare, we learned that making appointments easier wasn’t enough,” stated Ryan McQuaid, Co-Founder and CEO of Prosper Medical. “The real challenge is everything that happens after a patient leaves the visit… AI finally gives us a way to deliver that level of care and personalization at a scale that wasn’t possible before.”
Teladoc Health Unveils Teladoc One to Deliver Connected, Adaptive Virtual Care
What You Should Know Teladoc Health has introduced Teladoc One, an integrated virtual care practice designed to replace fragmented, single-disease point solutions with a connected, person-centric platform. Built over two years, Teladoc’s proprietary Pulse engine aggregates clinical history with claims, pharmacy records, connected devices, medical records, and eligibility data to power early risk detection and ... Read More
<img loading="lazy" width="960" height="552" src="https://hitconsultant.net/wp-content/uploads/2026/07/Teladoc-One.webp" alt="Teladoc Health Unveils Teladoc One to Deliver Connected, Adaptive Virtual Care" class="wp-image-96972" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/Teladoc-One.webp 960w, https://hitconsultant.net/wp-content/uploads/2026/07/Teladoc-One-300x173.webp 300w, https://hitconsultant.net/wp-content/uploads/2026/07/Teladoc-One-290x167.webp 290w, https://hitconsultant.net/wp-content/uploads/2026/07/Teladoc-One-768x442.webp 768w" sizes="(max-width: 960px) 100vw, 960px" /> What You Should Know Teladoc Health has introduced Teladoc One, an integrated virtual care practice designed to replace fragmented, single-disease point solutions with a connected, person-centric platform. Built over two years, Teladoc’s proprietary Pulse engine aggregates clinical history with claims, pharmacy records, connected devices, medical records, and eligibility data to power early risk detection and care routing. Demonstrating high confidence in its clinical outcomes, Teladoc Health is placing 100% of its fees at risk, directly tying payment performance to population-wide clinical metrics and total cost of care reductions. Patients receive care from a multidisciplinary team (clinicians, dietitians, health coaches, mental health therapists), a human Care Guide for local network coordination, and always-on AI support between visits. Programs under Teladoc One will launch with select enterprise clients in September 2026, initially focusing on cardiometabolic health, ahead of broader availability in January 2027. Beyond Point-Solution Fatigue: How Teladoc One Rebuilds Virtual Care Around a “Population of One” The employer health benefits, health plan management, and virtual care sectors face severe point-solution fatigue. Over the past decade, digital health expanded through niche, disease-specific apps—forcing the average U.S. adult to navigate six separate health applications and spend eight hours each month coordinating their own healthcare. With three in four Americans managing at least one chronic condition driving $4.7 trillion in annual healthcare spending, self-insured employers and health plans can no longer afford to manage fragmented, overlapping digital vendors. Rather than driving measurable savings, condition-specific apps created operational silos where clinical context, medication adjustments, and specialist referrals were lost. To unify virtual care into an adaptive system of record, Teladoc Health has announced Teladoc One. Built on a foundation of over 100 million virtual visits across primary care, behavioral health, chronic disease, and acute care, Teladoc One transitions virtual health away from episodic transactions toward a single, continuous care journey. The Pulse Engine and Multidisciplinary AI Workflows At the technological core of Teladoc One is the Pulse intelligence engine—the culmination of two years of backend infrastructure unification. Pulse synthesizes longitudinal health data to deliver proactive risk signaling across three integrated support layers: The Unified Pulse Engine: Pairs decades of clinical history with real-time data from health information exchanges (HIEs), pharmacy claims, connected biometric devices, and eligibility records to identify emerging health risks early. Multidisciplinary Clinical Teams: Connects board-certified physicians, mental health therapists, certified health coaches, registered dietitians, and specialists inside a single care chassis. Human Care Guides: Dedicated navigators who manage care plans, coordinate in-network physical referrals, exchange clinical notes with local primary care doctors, and ensure follow-through. Always-On AI Engagement: Conversational AI agents that engage members between clinical touchpoints to send reminders, track symptoms, assist with scheduling, and surface high-priority alerts to the human clinical team. “The industry’s current approach of treating one disease at a time isn’t the answer. Teladoc One changes that,” stated Kelly Bliss, President of U.S. Group Health at Teladoc Health. “Importantly for our buyers, Teladoc One raises the bar on accountability, delivering a model that answers to outcomes.”
Relatient Launches Clinical Request Automation Capability for Dash Voice AI Platform
What You Should Know Relatient has expanded its Dash Voice AI platform with a new clinical request automation capability designed to handle non-scheduling patient phone inquiries. Approximately 35% of all inbound calls received by healthcare organizations represent clinical requests, including questions for nursing staff, medication and prescription inquiries, and billing details. The agentic voice system ... Read More
<img loading="lazy" width="600" height="374" src="https://hitconsultant.net/wp-content/uploads/2026/07/Dash-Voice-AI-Rules-Based-Engine-600x374-1.png1_.webp" alt="Relatient Launches Clinical Request Automation Capability for Dash Voice AI Platform" class="wp-image-96942" srcset="https://hitconsultant.net/wp-content/uploads/2026/07/Dash-Voice-AI-Rules-Based-Engine-600x374-1.png1_.webp 600w, https://hitconsultant.net/wp-content/uploads/2026/07/Dash-Voice-AI-Rules-Based-Engine-600x374-1.png1_-300x187.webp 300w, https://hitconsultant.net/wp-content/uploads/2026/07/Dash-Voice-AI-Rules-Based-Engine-600x374-1.png1_-290x181.webp 290w" sizes="(max-width: 600px) 100vw, 600px" /> What You Should Know Relatient has expanded its Dash Voice AI platform with a new clinical request automation capability designed to handle non-scheduling patient phone inquiries. Approximately 35% of all inbound calls received by healthcare organizations represent clinical requests, including questions for nursing staff, medication and prescription inquiries, and billing details. The agentic voice system captures caller intent in real time, leverages appointment context and electronic health record (EHR) data, and attaches structured notes directly into existing EHR work queues without human intervention. The automated request capability is live today across Relatient’s client footprint, which supports over 50,000 providers and manages 150 million appointments annually. Real-Time Contextual Triaging and Direct EHR Tasking Relatient’s clinical request automation operates by embedding conversational intelligence directly inside the patient access layer, converting unstructured voice audio into actionable clinical tasks: Context-Aware Real-Time Triaging: Dash Voice AI evaluates the caller’s intent using historic appointment context, underlying EHR demographic files, and clinical information disclosed during the call. Direct EHR Integration: The solution automatically builds an actionable, structured task—replete with summary notes—directly within existing EHR and practice management workflows without requiring staff intervention. Custom Organizational Logic: Provider groups retain complete control over routing rules, designating specific request types to targeted departments (e.g., surgical, billing, or specialty triage nurses). Measurable Staff Time Savings: For practices handling over 1,000 voicemails weekly, automated clinical tasking returns more than 300 staff hours per week back to direct patient care. “Dash Voice AI already autonomously handles thousands of scheduling-related calls for our clients without the need for human intervention, but scheduling only represents about half of patient inquiries,” stated Jeff Gartland, CEO of Relatient. “This new capability allows every nurse question, prescription request, and billing inquiry to transform into an actionable task the moment the call ends. Our data shows that for organizations fielding more than a thousand voicemails per week, our Voice AI can save over 300 staff hours in that same time—hours they can now spend on patient care.” Prioritizing ROAI in an Era of Healthcare Labor Drag The release of Relatient’s clinical request automation for Dash Voice AI directly reinforces the “Operational Layer and Input Data Rationalization” trend dictating modern healthcare IT purchasing decisions. Across ambulatory medical groups and enterprise health systems, executive boards have frozen capital allocation for speculative point solutions or passive databases. Instead, leadership teams are aggressively funding Intelligent Workflow Automation and Agentic Voice Layers capable of generating immediate, verifiable Return on AI and Platform Investment (ROAI ). Furthermore, as medical practices confront persistent clinical staffing shortages, eliminating the administrative friction of manual voicemail transcription directly mitigates burn-out and prevents patient attrition.