Bon Secours embraces AI for value-based care
CINCINNATI, UNITED STATES — Bon Secours Mercy Health is leveraging artificial intelligence (AI) to drive its digital transformation and enhance its value-based care delivery model.
The health system, which operates over 1,000 care sites across seven U.S. states and five locations in Ireland, is collaborating with technology partners to harness AI’s ability to improve patient outcomes, increase engagement, and reduce operational costs.
Bon Secours has developed a multi-tenant, big-data cloud analytics platform that combines clinical and EHR data with system data. The platform also integrates operational supply chain, human resources, billing, and financial data to drive better insights.
Shahidul Mannan, chief data officer at Bon Secours Mercy Health, noted that the health firm has six to eight AI-driven use cases in production based on the data sets and the platform capabilities.
“We are already seeing the value coming out of it with various types of insights and analytics that we are helping out across the system to drive better operations,” Mannan pointed out, per Becker’s.
Handling sensitive patient data
The platform could enhance patient care and boost revenues for health organizations. Mannan also highlighted how sensitive and private information is handled, noting that the platform can de-identify patient data.
“We are extremely cautious about how we handle our data, respecting the privacy of patients and being compliant with HIPAA and other regulations,” said Mr. Mannan.
“But this de-identified and anonymization technology has enabled us to share the data for more innovation and revenue generation.”
Bon Secours’ future plans
Additionally, Bon Secours is looking to build a chatbot that would handle inquiries and respond to patient questions quickly in real-time. The bot, which can guide the patients’ treatment steps, will alleviate the floor staff’s daily tasks.
The firm is also studying the use of large language models for nurse triaging. Currently, Bon Secours has machine learning apps in production for reducing admission stays and prediction of hospital readmission for high risk patients.
“All these are in play and some through partnerships for innovation productization, we are hoping will earn more revenue and expedite more innovation and extract more value by cost reduction or optimizing operations,” said Mr. Mannen.
