
Source: businesswire | Published on: Wednesday, 12 March 2025
BELLEVUE, Wash.--(BUSINESS WIRE)--Edifecs, Inc., a global health information technology solutions company, today announced Point of Care Suspects, expanding its comprehensive Risk Adjustment offering to surface suspects at the point of care. The solution improves financial performance and operational efficiencies by streamlining delivery of potentially undocumented conditions to clinicians. This results in significantly improved risk adjustment code capture while strengthening collaboration between providers and payers.
"Healthcare organizations face mounting challenges from risk adjustment coding complexity, impacting both patient care and revenue accuracy. Point of Care Suspects builds on our market-proven, best-in-class clinical AI to transform this process,” said Dr. Summerpal Kahlon, chief medical officer, Edifecs. “By seamlessly integrating with existing workflows, we're improving the provider-payer relationship while reducing provider burnout and compliance risk – exactly the kind of win-win healthcare needs."
Incorporating mature industry-leading clinical AI, natural language processing (NLP), and machine learning capabilities, Edifecs’ Risk Adjustment offering analyzes both structured and unstructured data to produce a comprehensive view of each member’s known and suspected conditions, providing actionable insights across the risk adjustment lifecycle – prospective, concurrent, and retrospective. The new Point of Care Suspects capability surfaces these insights within existing clinical workflows, allowing providers to address care and coding gaps in real time without disrupting care delivery. By leveraging decades of technological and healthcare expertise, Edifecs ensures confidence in every code.
A large provider-sponsored health plan and Edifecs customer shared that "the more complete and relevant we can be in surfacing both recapture and net new conditions for clinician review, the better the overall patient care and provider experience. Minimizing irrelevant or inaccurate conditions improves the quality of hierarchical condition category (HCC) capture with less provider abrasion." In fact, by incorporating unstructured data in suspecting, Integrated Delivery Networks (IDNs) capture 30% more HCCs, on average, than they do using structured data alone according to customer feedback.
Edifecs Point of Care Suspects supports both payers and providers:
To learn more about Edifecs Point of Care Suspects, please visit: https://www.edifecs.com/solutions/risk-adjustment-clinical-suite.
About Edifecs
Edifecs provides market-leading technology to its payer and health system customers, which serve nearly 300 million people in the U.S. healthcare market. For over 25 years, Edifecs has enabled customers to unlock greater value with their healthcare operations cloud solutions and data management platform, which includes its market leading healthcare interoperability cloud solution. Edifecs healthcare SaaS solutions, available on public, private, and hybrid clouds, serve as the foundation that eliminates stakeholder friction to overcome healthcare’s biggest challenges, including accelerating value-based care adoption and obtaining more complete and accurate care funding. For more information, visit www.edifecs.com.