- InsightRX raises $10M led by HealthX Ventures to accelerate the adoption of its precision dosing at the point of care platform.
- The platform leverages patient-specific data, pharmacology models, and machine learning to understand each patient’s unique pharmacological profile to guide treatment decisions.
- InsightRX plans to use the new funding to deepen its integration capabilities, broaden development across additional therapeutic areas, and continue its expansion into health
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Machine Learning in Healthcare | ML News, Analysis, Insights - HIT Consultant
3 Ways AI and Machine Learning Are Reshaping Medical Records
Since at least 2012, the world of medical records in both the public and private sectors remains dominated by a push toward interoperable data, and more broadly useful health data. Like everything else in American healthcare, the effort has been only moderately successful despite a price tag in the billions. In a modern digital world, where technologies in so many industries are bringing better insights and next generation efficiency – driven by cloud computing, big data, AI and machine learning
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Change Healthcare Unveils AI-Infused Charge Capture for Providers
- Change Healthcare unveils a new AI solution, Charge Capture Advisor that will help providers capture more revenue—automatically.
- Charge Capture Advisor identifies potentially missing charges for services that providers performed before claims are submitted.
- Change Healthcare’s AI for charge capture is trained on more than 500 million service lines and 180 million unique, de-identified claims that touch $245 billion in charges.
Change Healthcare today introduced Charge
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4 Steps Healthcare Organizations Need to Take to Automate Their Data
According to IDC, all the data that’s being created and captured in healthcare is projected to grow by 36 percent (CAGR)—more than any other industry.
While managing growing volumes of data is a common challenge for many organizations across all sectors, healthcare is uniquely set apart by the sheer number of new data sources that’s being made available—with new sources being added all the time. This is driven in large part by advancements in telemedicine, personalized or precision medicine, as
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Geisinger, IBM Develops Predictive Model Using EHR Data to Detect Sepsis
- Geisinger/IBM’s AI and Data Science team are working together to prevent sepsis, life-threating infection through early detection and research.
- Geisinger team used IBM Watson Studio open-source tools to build a predictive model that would ingest clinical data from thousands of de-identified sepsis patients spanning a decade.
- Geisinger uses IBM Watson Explorer to create a searchable index of thousands of medical publications for clinicians and researchers can now mine the journal
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Quest Diagnostics, hc1 Collaborate on ML-Driven Lab Testing Utilization
- Quest Diagnostics and hc1 collaborate to unveil Quest Lab Stewardship powered by hc1, an innovative new service that employs machine learning to harmonize laboratory testing.
- Quest Lab Stewardship enables progressive health systems to help improve patient care through better laboratory utilization.
- Quest Lab Stewardship integrates in real-time with enterprise systems and leverages hc1’s machine learning capabilities to ingest, organize and normalize lab data, alleviating the time
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Cerner Unveils 5 Finalists for code App Challenge to Advance Consumers’ Access to EHRs
- Cerner announces Baystate Health, Cerner ITWorks at Adventist Health, Intelliaide, Mindset Medical, and Optimize as the finalists for Cerner’s code App Challenge.
- The finalists will work directly with Cerner engineers at CHC, after which they will present a working demo of their app.
- The winning individual or team will receive a one-year membership to the code program, with Cerner engineers helping guide the app through the validation process.
Cerner has announced the five
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Mayo Clinic Selects Google Cloud to Power its Digital Transformation
- Mayo Clinic selects Google Cloud to be their cornerstone of its digital transformation in a 10-year strategic partnership agreement.
- Google Cloud will secure and store Mayo Clinic's data while working with Mayo Clinic to apply AI and other cloud computing technologies to solve complex healthcare problems.
- Mayo Clinic will leverage Google Cloud to conduct medical research, developing and deploying new machine learning models designed to improve treatment precision and clinical
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Microsoft, Astrazeneca Launches AI Factory for Health Accelerator in Europe
- Microsoft and AstraZeneca are joining forces to launch the AI Factory for Health, a European accelerator for AI-focused digital health startups.
- The 3-month accelerator program is for startups that offer an innovative health solution based on artificial intelligence technology for patients or health professionals
- Created by Microsoft in partnership with the Inria laboratory, the AI Factory unites a community of startups dedicated to the development of innovative solutions based
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Machine Learning Algorithm Can Predict Which Cardiac Patients Are High-Risk Post Discharge
- New Mayo Clinic peer-reviewed study shows Medial EarlySign’s machine learning algorithm can predict which cardiac patients are at high-risk following discharge.
- The analysis was based on electronic health records (EHR), demographics, and social data collected from a cohort of 11,709 unique Mayo Clinic patients who underwent 14,349 PCIs during 14,024 hospital admissions.
- The study suggests AI solution can be more effective than traditional models to identify patients at risk of
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