Healthcare AI · Informatics · Strategy & Analytics
Gript Technologies
Numbers that hold up under diligence.
Payer claims analytics, clinical informatics, and AI advisory for healthcare investors and operators. Diligence on digital-health deals, AI tooling evaluations, and population-health analytics.
About Gript Technologies
Where medicine, data, and strategy converge.
Gript Technologies works with healthcare investors and the operators they back - at the precise point where a clinical question, a data question, and a commercial question all need answering at once.
Most healthcare AI advisors come from one side of that triangle. I bring all three: clinician training with direct patient-care experience, population-health and claims analytics built inside a national health plan, a population-health analytics platform, and a large healthcare enterprise, and commercial strategy shaped at a global pharmaceutical consultancy. That combination is backed by board certification in Clinical Informatics and Preventive Medicine, and by peer-reviewed publications and abstracts in neurobiology and dermatology.
In practice that means diligence on digital-health and payer-tech assets, AI tooling evaluations for clinical and operational fit, and population-health analytics built from medical and pharmacy claims - delivered by a single senior advisor who can read a clinical algorithm, a payer P&L, and a deal model in the same conversation.
I am equally comfortable directing analytics work or building it hands-on when resources are limited and scope allows.
Consulting
Strategic services for forward looking healthcare organizations.
Investor & Operator Advisory
Diligence and strategy for funds and the operators they back. I evaluate digital-health and payer-tech assets the way an acquirer's medical director and data lead would: clinical claims tested against the literature, data assets tested against what payers will actually pay for, and the deal model read alongside both.
Example engagements
- Competitive landscape assessment for a pharmaceutical client in the hematology commercial space
- Commercial landscape and acquisition-idea generation in healthcare wearables for a diagnostics company
- MLR, gross-margin, and value-based-care executive dashboards scoped for a large health insurer
Healthcare AI & Clinical Informatics
Independent evaluation of AI tooling for clinical and operational fit: separating deployable capability from demo-ware. I benchmark vendor claims against peer-reviewed evidence, audit the clinical algorithms and value sets underneath, and translate what a model can actually do into what a health system or payer can safely buy.
Example engagements
- Hundreds of production clinical algorithms specified and QA'd across ICD-9/10, CPT-4, HCPCS, LOINC, and NDC
- Predictive models to prevent adverse drug events, built with a health plan's data science division
- Clinical trial protocol translated into a coded algorithm for EHR-based patient identification
Payer & Population Health Analytics
Hands-on analytics built from medical and pharmacy claims: risk adjustment, Stars and HEDIS economics, care-management ROI, and workforce health-cost projection. Built inside a national health plan and a large healthcare enterprise, and delivered either as directed work or hands-on builds when scope allows.
Example engagements
- Analytics strategy for a cardiovascular risk program integrating claims, pharmacy, and SDOH data
- Software modeling CMS overall STAR ratings for external Medicare Advantage plans
- ROI and financial-impact monetization for care-management programs
Labs
Tools and research briefs built to make the numbers defensible.
EPHP
Employer Population Health Projector
A free claims risk analytics tool that projects expected annual healthcare cost and chronic-condition burden for any US workforce by ZIP, anchored to CDC PLACES prevalence and MEPS-derived cost coefficients.
- Claims risk analytics
- CDC PLACES
- MEPS / AHRQ
- US Census ZCTA
MA
Medicare Advantage risk and benchmark analytics
Plan-level risk scoring, benchmark comparison, and bid-season analytics for Medicare Advantage plans and investors evaluating MA exposure.
- Medicare Advantage
- Risk adjustment
- Bid strategy
- Payer analytics
Corpus Learn
Clinical AI diligence briefs by Gript Technologies
15–25 minute clinical AI diligence briefs for investors, health systems, payers, and health-AI vendors. Built and reviewed by a US-credentialed physician-executive, drawing on primary sources.
- Clinical AI diligence
- Investor due diligence
- Payer strategy
- Health-AI vendors
CodeSet Workbench
ICD-10-CM value-set comparison and validation
Compare how published ICD-10-CM value sets and code lists overlap across sources. Built to make cohort definitions defensible before they drive decisions.
- Value sets
- ICD-10-CM
- Clinical informatics
- Code validation
Let's Connect
Open to thoughtful collaborations.
Whether you're shaping a clinical strategy, evaluating a product roadmap, or exploring an opportunity in population health - I'd be glad to hear from you.