Compare HealthEM.AI vs. Solventum AM-PPCs

Envision a transformative approach to care management that lowers healthcare expenses, reduces both admissions and readmissions, enhances star ratings and HEDIS metrics, and elevates health quality and outcomes through a mission-focused data platform driven by artificial intelligence. As the healthcare sector increasingly embraces value-based care, Health EM.AI emerges as a pioneer, redefining care management and enhancing care delivery through innovative data utilization and AI technology. By streamlining patient information from various care settings and leveraging AI/ML-driven predictive analytics, we equip healthcare organizations with actionable insights that significantly enhance care quality. Our approach ensures measurable improvements at the individual patient level, particularly within palliative and chronic care management workflows. The integration of unified patient 360 data across all care settings leads to meaningful advancements in star ratings, risk adjustment, and the effective closing of care gaps. Additionally, our localized healthcare models examine over 1,000 clinical and non-clinical variables based on geographical context, further refining the effectiveness of care. This comprehensive strategy not only fosters better patient outcomes but also encourages a more efficient healthcare ecosystem.

Solventum Ambulatory Potentially Preventable Complications (AM-PPCs) Classification System is a clinically designed classification methodology that helps healthcare providers, payers, and researchers evaluate the quality and safety of outpatient procedures. The system identifies potentially preventable complications that occur after elective ambulatory procedures by analyzing sequenced billing data and coded clinical information. AM-PPCs links procedures with related complications that may occur within 30 days after treatment, even when patients receive follow-up care in different healthcare settings. The classification framework covers more than 3,350 procedures grouped into 116 clinically defined procedure categories and identifies complications from over 1,900 diagnoses organized into 70 complication groups. Healthcare organizations can use these insights to track performance by provider, facility, service line, and procedure type. The system also includes benchmarking capabilities based on Medicare, Medicaid, and commercial populations across multiple service lines. By providing structured outcome data and complication tracking, AM-PPCs enables healthcare systems to identify improvement opportunities, enhance patient safety, and better manage outpatient care quality.