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Patient-reported outcomes and mobile health data from wearables, smartphone apps, and remote monitoring devices are increasingly being used to improve care delivery and outcomes. Such digital technologies enable clinicians to monitor a patient’s health status without requiring an office visit or hospitalization. Integrating patient-generated health data (PGHD) into electronic health records (EHRs) also makes PGHD data available to clinicians at the point of care, thus allowing them to focus on the patients in their office or on a telehealth session.
AI-based clinical filtering software can identify and interpret disorganized, complex, and voluminous medical data – including data from non-interoperable sources and in unstructured formats – and present it to clinicians on demand so they can quickly find relevant details about a specific patient at the point of care.
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While staff members had bits and pieces of population health data, like hierarchical condition category (HCC) scores and specific diagnoses, they were missing the top-level view of the overall health …
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