
ABOUT PCCI PCCI is a non-profit innovation and research institute for Advanced Data Science and NMDoH Innovation. PCCI aspires to be a leader in Innovation and build scalable solutions focusing on responsible applications of AI-in-Medical Care for Underserved Populations. PCCI Improves Community Health Through AI and NMDOH Analytics PCCI is one of only a few organizations with over a decade of experience researching, testing, and using AI, non-medical drivers of health (NMDoH) and connected communities of care exclusively to improve the health and well-being of underserved populations. From the creation of responsible AI-in-Medicine for Underserved Populations (AIM-UP), to designing and deploying― at scale― NMDoH technology such as IRIS™, one of the first U.S. case management and closed-loop referral platforms with an awarded patent, and the Community Vulnerability Compass for measuring social vulnerability, PCCI is pioneering AI innovations and NMDoH analytics and advancing personalized health for the most marginalized community members. To fuel broader innovation and share the unique experience of advancing these innovations for underserved populations, we regularly collaborate with diverse organizations through national AI collaboratives (Health AI Partnership, National Academy of Medicine AI Adoption and Code of Conduct Committee), grant activities (CMS AHC, Kaiser AIM-HI), and presentations and publications (Connected Community of Care Playbook, Pediatric Asthma Surveillance System). AIM-UP Enabled Digital Technology and AI Models PCCI’s AIM-UP predictive models drive augmented intelligence for clinicians and personalized patient engagement. The core technologies powering these models include Isthmus™, our interoperable, cloud-based, digital data environment, ISLET™, a web-based, predictive model visualization tool seamlessly integrating model results into existing EHR systems, and our automated AI model monitoring (AaIM) technology. AI for Clinical Decision Support Powered by PCCI’s AIM-UP, our clinical decision support AI/ML predictive models are designed to empower healthcare teams by providing augmented intelligence and insights to generate early-warnings for clinical deterioration, enhance their point-of-care decision-making, and enable them to intervene earlier and with more precision. AI for Population Health Our population health AI/ML predictive models help health systems, and their community partners identify rising risk for clinical deterioration and access barriers to enable earlier and more targeted interventions. The goal is to move care and prevention upstream and proactively engage individuals in hyper-personalized ways to improve their health and avoid emergency room visits and hospitalizations. MNDOH Analytics Leveraging our advanced NMDoH analytics through tools such as our Community Vulnerability Compass, we are able to quantify community-based socioeconomic vulnerabilities and provide root cause insights to support local community engagement and create connected communities of care.
What is a QA Engineer at Parkland Center for Clinical Innovation? The QA Engineer at Parkland Center for Clinical Innovation plays a crucial role in ensuring that the organization’s digital health products are of the highest quality. This position is vital as it directly impacts patient care and outcomes, ensuring...