Famous artificial intelligence (AI) errors such as a Google search recommendation to put glue on a pizza to keep the cheese from falling off may cause a smile. However, when AI is mentioned in conjunction with healthcare, the stakes become serious — quickly since ‘hallucinations’ are not an option in healthcare!
But make no mistake: AI is infiltrating healthcare, from both clinical and operational angles. Estimates show the global AI healthcare market growing by 1,600% during the decade, from
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Patient Matching Algorithm
5 Patient Matching Best Practices for Providers to Consider
What is Electronic Patient Matching Anyway?
According to HealthIT.gov, patient matching is defined as “the identification and linking of one patient's data within and across health systems to obtain a comprehensive view of that patient's health care record." At a minimum, one can accomplish patient matching by automatically linking multiple demographic data fields such as name, birth date, phone number, and address. Therefore, patient matching is a critical component to interoperability
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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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Cloud-Based Patient Matching Expands with Verato and MyDirectives Partnership
Verato, a provider of cloud-based patient matching, today announced that digital advance care planning company, ADVault, Inc., is the first partner in its new Powered by Verato(PBV) program. The program offers healthcare technology firms a next-generation patient matching solution that is highly accurate, secure, cost-effective, and easy to implement—all as a utility—using the Verato Universal MPI for patient matching.Powered by Verato Program BackgroundPatient matching is at the core of
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Appriss Launches Machine Learning Powered Patient Matching Solution
Patient matching is essential to prevent or quickly identify patients suffering from opioid addiction. This week, Appriss Health has launched ApprissID, a patient record-matching solution based on machine learning and consolidation algorithms within PMP AWARxE, Appriss Health’s prescription drug monitoring program (PDMP) solution that serves 44 PDMPs across the U.S.ApprissID utilizes combinations and segments of various identifiers to connect multiple records together to identify a unique
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Imprivata Integrates Biometric ID with Verato’s Patient Matching
Imprivata, a healthcare IT security company, and Verato, a provider of patient identity matching solutions, today announced an integration partnership to offer a comprehensive solution for patient identification and record matching challenges. The integration will link links Imprivata PatientSecure, a positive patient identification solution for healthcare, with Verato Universal™ MPI, a cloud-based master patient index (MPI) solution powered by Verato’s proprietary referential matching
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UMMC Selects Kyruus’ ProviderMatch for Access Centers to Improve Call Center Operations
Kyruus, a patient-provider matching health IT company, announced that the University of Mississippi Medical Center (UMMC) has selected the company’s ProviderMatch for Access Centers solution to improve call center operations and enhance patient access to UMMC’s network of 800+ providers in 170 locations across the state of Mississippi.ProviderMatch for Access Centers will make it easier for call center agents to identify the right provider for patients’ needs, enabling more precise
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4medica to Launch FHIR-based Clinical Data Repository for HIEs
In its latest offering for the health information exchange technology stack, 4medica is set to launch the industry’s first FHIR-based clinical data repository (CDR) with patient record matching; developed for patient-centered data homes and other initiatives. Scheduled for release in early summer, the 4medica CDR will also match patient records and eliminate duplicate records with powerful accuracy and speed. How the 4medica CDR advances a universal patient recordHistorically, HIEs move rather
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Understanding The Hidden Costs of MPIs: 3 Things to Know
Patient matching is one of the major challenges facing the US healthcare system. It is becoming much more difficult as we enter an era where the amount and diversity of patient data is exploding with patient portals, patient engagement applications, telemedicine, and personal health records. Simultaneously, patient matching is becoming exponentially more important for patient safety, as well as to lower costs, to enable population health analytics, and to exchange patient information with other
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Advance Care Planning Startup Vynca Wins Patient Matching Algorithm Challenge
The U.S. Department of Health and Human Services’ Office of the National Coordinator for Health Information Technology (ONC) today announced advance care planning solution company, Vynca as the first place ($25k) winner of the Patient Matching Algorithm Challenge. ONC selected the winning submissions from over 140 competing teams and almost 7,000 submissions using an ONC-provided dataset. Patient Matching Algorithm Challenge Overview“Patient matching” in health IT describes the techniques used
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