Cozeva’s reimagined point-of-care integrations drive seamless iPhone-like usability in EHRs
What is EHR integration?
- Substitutability of applications
- Open standards, accommodating both open-source and closed-source software
- Reducing dependence on individual systems by allowing competition and “natural selection” for high-value, low-cost products.
- Close care/coding gaps at point-of-care within one system Reduce double documentation
- Reduce administrative burden
- Enable Bi-directional data exchange
NLP in EHR integration
The Cozeva EHR integration technology has the following characteristics which make it unique to the industry.
Embedded Cozeva App – Launch Cozeva quality & risk gaps for the patient from within the EHR via single sign-on. It eliminates the need to switch between the EHR & Cozeva.
Automated Chart Retrieval- Cozeva will retrieve the patient’s clinical data (CCDA) upon encounter sign-off. Cozeva will ingest and utilize the data to report the most up-to-date, evidence-based clinical guidelines about quality and risk.
Clinical Data Writeback- Real-time submission of confirmed HCCs to the EHR’s Problem List & Assessment/Visit Diagnoses. It eliminates the need for double documentation.
Browser Extension- Cozeva scans the EHR to detect/match patients and launches a quality-risk dashboard from the extension. It is compatible with any web-based EHR
The Director of Product & Partner Strategy at Applied Research Works, Inc. says,
“Cozeva-EHR integration is a win-win for Cozeva clients and provider offices. EHR integration results in sustained metric improvement, and reduces an organization’s nonstandard supplemental data burden. Our mission is to launch these integrations so our clients and providers can focus on patient care.”
She further says,
“Cozeva-EHR integration accelerates decision-making and helps providers minimize administrative burden to identify gaps in their medical charts. Data retrieval integrations have led to a >8% performance increase for HEDIS measures such as HbA1c control, childhood immunizations, and controlling blood pressure.
- A visit is scheduled to the EHR
- Cozeva will retrieve the patient’s chart (CCDA clinical summaries and progress notes)
- It will parse and ingest the data to automatically close quality and risk data gaps
- The Cozeva NLP will process historical visit diagnoses to identify suspects and missed opportunities
- During the visit, the provider launches the Cozeva app within the EHR and addresses the patient’s quality and risk gaps
- After the encounter is signed off, Cozeva will retrieve the patient’s chart once more to close additional gaps.
Conclusion
Integrating with an EHR system allows for the secure transfer of data between clinical continuum of care applications and Cozeva. Connecting external systems to the Cozeva ecosystem negates the need to manually provide quality supplemental data submissions to close gaps for patients. This improves data integrity by removing the need to manually enter data to improve scores.
