Opeeka's Person-Centered Intelligence Solution (P-CIS) integrates with existing electronic health records to automate documentation and enhance care coordination among multidisciplinary teams. This technology addresses inefficiencies in care delivery by providing real-time analytics and predictive models that improve patient outcomes and reduce administrative burdens.
Funding
Funding not disclosed
Founders
Product
Problem
Care providers often struggle with inefficient documentation processes and disconnected electronic health records, hindering effective care coordination and the ability to demonstrate the impact of interventions. This lack of integration and automation leads to increased administrative burdens and limits the use of data-driven insights for improving patient outcomes.
Solution
Opeeka's Person-Centered Intelligence Solution (P-CIS) addresses these challenges by integrating with existing electronic health records to automate documentation and enhance care coordination among multidisciplinary teams. The platform streamlines workflows, reduces administrative tasks, and facilitates seamless information sharing across care networks. By leveraging success-focused artificial intelligence (SF-AI), P-CIS identifies patterns of care that have worked well for similar patients, providing AI-driven decision support. The solution also offers population analytics with predictive models, enabling organizations to demonstrate the impact of their services and optimize care delivery for improved patient outcomes.
Target Audience
Opeeka's primary customers include care providers in mental health, substance use, foster care, social care, and home health, as well as payers, managed care organizations, government entities, and employers seeking to improve care coordination and demonstrate value-based care.
Features
- Seamless integration with existing EHR/EMR systems, data warehouses, and assessment tools
- Automated data collection through patient text/email/tablet with smart-forms and reminders
- AI-driven clinical decision support using SF-AI to identify similar patients and effective care patterns
- Real-time pre-authorization and level of care recommendations
- Secure data sharing platform with consent management and Care Circle functionality
- Population-level outcomes reporting with predictive analytics to demonstrate clinical impact
- Customizable dashboards for visualizing data and tracking progress
- Role-based access controls to ensure data privacy and security