Define the clinical use case
Define the clinical problem, the people who will use the tool, and the decisions it should support. Establish a practical scope for the first evaluation.
- Clinical requirements
- Intended users
- Pilot design
Physician-informatics consulting
We help health systems and digital health companies evaluate AI, integrate it into clinical workflows, and measure its effectiveness.
Clinical AI and implementation
A useful tool needs a clear clinical purpose and a workable place in care delivery. We help your team define both, then decide how to evaluate the results.
Where we add value
We work with clinicians, technical teams, and health system leaders to define requirements, resolve workflow questions, and evaluate whether a proposed change is worth implementing.
Define the use case, intended users, and clinical requirements.
Map EHR tasks, team responsibilities, and escalation steps.
Assess how the service is documented and how payment requirements affect its delivery.
Specify the comparison, outcome measures, and data needed to judge performance.
Develop study protocols, summarize findings, and prepare manuscripts or reports.
Published research
Our work examines how care is delivered, how it is represented in the EHR, and how those data inform clinical and financial decisions.
A study across an eight-hospital health system found tobacco cessation services were billed in 0.3% of office visits involving patients who used tobacco.
The finding raises questions about care delivery, documentation, and billing that require closer evaluation. Low billing alone does not establish whether counseling occurred.
Use cases
Examples of the clinical and operational questions we can help your team answer.
Next steps
Tell us what your team is working on and the decision you need to make. We can discuss the scope, available data, and where clinical informatics support would be useful.