Location: Salisbury, Maryland, USA
AI Focus: Accelerating access to clinical information through AI-powered decision support
The Challenge:
At TidalHealth Peninsula Regional, clinicians were spending valuable time—up to 4 minutes per patient—searching for drug interactions, treatment protocols, and evidence-based recommendations. This bottleneck not only slowed down care but reduced the time providers had for face-to-face interactions with patients.
The AI Solution:
The hospital implemented IBM Micromedex with Watson, an AI-driven clinical decision support tool integrated directly into its electronic medical record (EMR) system. This tool uses natural language processing and machine learning to surface the most relevant clinical information almost instantly.
Outcomes:
- Time Efficiency: Reduced average clinical search time from 3–4 minutes to under 1 minute.
- Improved Workflow: Clinicians accessed real-time drug information and treatment recommendations without toggling between systems.
- Enhanced Patient Care: More time was reallocated to bedside care, improving both patient satisfaction and provider productivity.
Why It Matters:
By transforming information retrieval from a multi-minute task to a near-instant response, AI gave clinicians back their most precious resource: time. The result? Smarter, faster decisions and more meaningful patient care.
Key Takeaway:
AI doesn’t need to overhaul clinical care to make a difference—it just needs to remove friction. At TidalHealth, that meant turning a 4-minute hunt for data into a seamless part of the caregiving process.
