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Enterprise Layer Intelligence
Categories/Healthcare & Life Sciences/Opeeka
Opeeka

Opeeka

Founded 2019

Track patient outcomes and coordinate care across healthcare teams and existing records

You can use Opeeka to connect existing electronic health records and track patient progress across multiple care providers. The system collects assessment data directly from patients via automated text, email, or tablet forms with scheduled reminders. It analyzes outcomes using predictive modeling to identify care patterns that work best for similar cases. Care teams can share real-time notes, manage consent agreements, track pre-authorizations, and evaluate treatment fidelity. Dashboards provide population-level analytics to help healthcare agencies and payers demonstrate clinical impact and reduce unnecessary emergency visits.

What Opeeka does

Collect patient assessment forms on tablets and mobile devicesGenerate population health analytics reports for compliance reviewsShare treatment updates across multidisciplinary care teamsEvaluate patient needs resolution using longitudinal progress chartsTrack clinical documentation deadlines to maintain care fidelityCompare individual patient profiles against historical outcome dataConnects directly with existing electronic health record databases without data migrationAutomates patient assessment collection via text, email, and tablet surveysDelivers predictive analytics to match patients with historically successful treatment patternsManages client consent and releases of information across interdisciplinary care teamsCalculates real-time pre-authorization and level of care determinationsBuilds population-level dashboards to monitor clinical changes and behavioral trendsMonitors documentation timeliness and care model fidelity across staff

Frequently asked

Epic Systems (EHR), Oracle Cerner, NextGen Healthcare, Athenahealth, Salesforce Health Cloud, HL7/FHIR Standards, Microsoft Azure Health Data Services, Twilio for SMS

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Opeeka, P-CIS, healthcare outcomes, patient assessment, care coordination, electronic health records, predictive analytics, consent management, care planning, behavioral health tracking, clinical decision support, population health analytics, outcome measurement, healthcare documentation, trauma-informed care