Powering the Pulse of Healthcare with Operational AI

By Abishek Bhat ,Vice President of Business Development at Trigent Software

Healthcare operations have made steady progress in adopting AI to enhance tasks such as billing, scheduling, and budgeting. But these efforts often happen in silos with partial automation and manual handoffs. The real opportunity and challenge lie in integrating these silos and enabling data flow to create seamless, end-to-end operations powered by shared intelligence. Achieving this starts with standardizing data across departments, create a centralized data store that serves as the source of truth and integrate AI tools onto the unified operational platform.

The road to standardizing data begins with identifying data sources and defining a format that can be applied organization-wide. Clear protocols must be defined on how data should be collected, shared and maintained across departments. Once all the data is collected and unified into an operational platform, organizations can then evaluate AI applications and tools that utilize the data, suggest actions and seamlessly integrate into the recommendations within defined workflows. The chosen AI solutions should comply with HL7 and FHIR standards and be designed to be interoperable, scalable, and effective in healthcare environments.

The perspectives outlined in this whitepaper draw on Trigent’s experience working with healthcare clients, where real-world lessons have shaped a pragmatic approach to applying AI for unified, intelligent operations.