AI in healthcare and life sciences
Data and AI for healthcare and life sciences
More than 500 specialists help health systems, payers, and life sciences companies connect their data and put governed AI into production.
Compliance built in, not bolted on, for work that has to hold up to scrutiny.
In healthcare and life sciences, AI is only as useful as it is trustworthy. Privacy, audit, and access controls are part of how we deliver, and every decision, change, and outcome is documented as the work happens. That’s how health systems, payers, and research teams move quickly without putting patients, data, or approvals at risk.
In healthcare and life sciences, AI is only as useful as it is trustworthy. Privacy, audit, and access controls are part of how we deliver, and every decision, change, and outcome is documented as the work happens. That’s how health systems, payers, and research teams move quickly without putting patients, data, or approvals at risk.
The data to improve care and speed discovery is locked in disconnected systems.
EHRs, claims platforms, labs, devices, and research systems each hold part of the picture. Privacy rules, legacy interfaces, and tight budgets make connecting them slow and risky, while clinicians face burnout and research teams face pressure to shorten timelines.
AI can reduce clinical documentation, identify risk earlier, and accelerate research. But in healthcare and life sciences, it only works when it’s governed, explainable, and reviewed by the people accountable for the outcome.
That’s the standard we build to, with a team big enough to take on major programs and selective enough to give each one our best.
Specialist engineering for healthcare and life sciences
We focus on the work that matters most to health systems, payers, and life sciences teams, and we work shoulder to shoulder with yours.
Interoperability
Connect health data
Connect EHR, claims, lab, and device data through FHIR-first APIs and a governed lakehouse.
AI
Put clinical AI into production
AI for documentation, triage, and operations, with human review and PHI kept in scope.
Life sciences
Unify research data
Bring trial, lab, and real-world data together so scientific and commercial teams find answers faster.
Analytics
Govern payer and provider analytics
Models and dashboards for risk, quality, and revenue, with metrics clinicians and operators trust.
Platforms
Build patient and provider platforms
Accessible portals and apps that connect to governed data and fit clinical routines.
Compliance
Stay HIPAA-ready by design
Privacy, audit, and PHI controls aligned to HIPAA, HITRUST, and SOC 2 across cloud and edge.
Security
Protect PHI with zero trust
Encryption, secrets management, and identity controls protect PHI at rest, in transit, and in processing.
Oversight
Keep clinicians in charge
Retrieval controls, source references, and clinician review before anything reaches a record.
Built on the platforms we believe in
Databricks and Anthropic are at the core of how we build: governed lakehouses for clinical, research, and operational data, and Claude-powered AI with clinician and scientist review designed in. We deliver with equal strength on AWS and Microsoft Azure, and on Google Cloud.
- 41 Databricks-certified professionals
- 2 Databricks MVPs and 11 Champions
- Delivery on AWS, Azure, and Google Cloud
High-impact use cases in healthcare and life sciences
Our specialists focus on regulated, data-heavy work tied directly to access, quality, cost, and discovery.
Ambient clinical documentation
Generate visit summaries with source references and route drafts for clinician review, keeping PHI in approved boundaries.
Interoperability modernization
Stand up a FHIR API gateway, master patient index, and consent services that reduce interface maintenance.
Population health and risk stratification
Blend EHR, claims, and social determinants data to identify rising-risk patients and care gaps earlier.
Claims automation and prior authorization
Improve first-pass rates and shorten cycle times with structured intake, validation, and exception handling.
Remote patient monitoring and device data
Normalize device and vitals streams to FHIR and route alerts to care teams with clear escalation paths.
Research and trial data platforms
Unify trial, lab, and real-world data in a governed lakehouse that serves analytics and AI.
AI-assisted research and evidence review
Use AI agents to search literature and internal data, with scientists reviewing every output.
Commercial and field analytics
Connect sales, market, and outcomes data to guide launch and field decisions.
Speed without the risk
Every engagement runs on AtlusAI, the delivery operating system we built for ourselves, so specialists and AI agents work from shared context. A project that would typically take nine months can take about six with us, depending on the use case.
Shared delivery context
Business goals, architecture decisions, and live execution state, aligned in one place.
Specialist teams alongside yours
Experts coached in technical mastery and partnership, working shoulder to shoulder with you.
End-to-end delivery
We own the program from strategy through production, with one accountable team.
Decision capture
Decisions, changes, and outcomes are documented continuously, which reduces knowledge loss and hand-off risk.
Common questions
Which data and AI partners work with health systems and payers?
How is PHI protected in AI projects?
How does Lumenalta improve healthcare interoperability?
Bring us your most important healthcare
data and AI problem.
data and AI problem.
Tell us what you’re working on. A specialist will follow up to talk through how we’d approach it.
What our specialists build
With Databricks and Anthropic at our core, our specialists modernize data platforms, put AI and agents into production, and build the applications that run on them. We work shoulder to shoulder with your team, moving at the speed each problem demands.
