Structured, reality-checked assessments for teams building AI tools for clinical use.
CareSight Consulting helps healthcare AI and digital health teams pressure-test their products against the real world—data, workflow, and billing included. Through structured feasibility assessments and focused follow-up consulting, we identify where an AI tool is ready to scale, where it isn’t, and what should change before you ask clinicians, health systems, or payers to bet on it.
See our inSIGHT Feed for snippets of our research and analysis on what to consider for your AI tool.
From first pass feasibility to deeper, targeted consulting.
1. Initial Consultation & Snapshot Assessment
What it is: A 30–60 minute working session to understand your product, data, and intended clinical use—followed by a structured snapshot of how your tool looks across key feasibility domains.
What we cover:
We walk through roughly ten domains that matter for healthcare AI tools, such as:
Data quality and volume
Clinical use case clarity and workflow fit
Regulatory and safety considerations
Billing and adoption pathways (including relevant CPT and payer patterns)
What you get:
A concise written scorecard highlighting strengths, gaps, and 3–5 specific areas that merit deeper work. This can be used internally to align product, clinical, and business stakeholders.
2. CareSight Feasibility Analysis
What it is: A more detailed assessment that builds on the initial consultation to stress-test your AI tool against clinical, operational, and reimbursement realities.
What we examine in depth:
Data readiness: structure, labeling strategy, drift risks, and whether your data supports the promised claims.
Clinical integration: where the tool lives in the workflow, who uses it, how it changes time-on-task and documentation.
Regulatory and risk posture: how the product is likely to be viewed from an FDA, safety, and governance standpoint.
Billing and adoption: fit with existing codes, implications of frameworks like CPT Appendix S, and realistic near-term adoption scenarios.
What you get:
A written report with:
Scores and commentary across the core domains
A summary of key risks and opportunities
3–5 prioritized recommendations for product, positioning, and evidence-building
This becomes a working document you can refine as the product evolves.
3. Follow-Up Consulting & Implementation Support
What it is: Ongoing support to act on the findings from your feasibility work.
Examples of how we help:
Deep dives on specific high-risk domains (e.g., billing story, governance model, workflow redesign)
Preparation of materials for clinicians, health systems, or investors that accurately reflect your tool’s strengths and limitations
Re-assessment after product changes, new data, or shifting regulatory and coding guidance
What you get:
Targeted, time-boxed engagements that move a few key questions forward instead of creating open-ended consulting projects. Each engagement is scoped around concrete deliverables aligned with your next milestones (pilots, payer conversations, fundraising, or commercialization).
Commitment to Confidentiality
At CareSight Consulting, we prioritize the privacy and protection of our clients' proprietary information. To ensure your confidence in sharing sensitive details about your AI tools and projects, we provide a comprehensive Non-Disclosure Agreement (NDA) prior to our first meeting.
This agreement reflects our commitment to maintaining confidentiality, safeguarding your intellectual property, and fostering a trusted partnership. Whether you're discussing innovative AI solutions or exploring new healthcare applications, you can trust that your information will remain secure with us.
Ready to Begin?
Let’s schedule your consultation and get started—with your ideas protected under NDA from the first conversation.