Healthcare operations engineering
You are not short on demand. You are short on throughput.
Healthcare organizations hire us to remove the operational bottlenecks limiting growth by redesigning workflows, integrating systems, and engineering the missing pieces.
Thirty minutes, free. No pitch.
What you get from working with us
- Find what is limiting growth
- Measure the business impact
- Remove it permanently
Trusted by healthcare organizations building the next generation of care.
57
Healthcare implementations
Where growth stalls
Three constraints that cap healthcare organizations.
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Constraint 01
Administrative work grows faster than revenue.
Every new patient, claim or case adds manual steps nobody ever removed, so growth costs you more each time.
What changes
Your team handles more volume without adding headcount.
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Constraint 02
Your operating knowledge lives inside people.
Years of refined judgment sit in spreadsheets and in three people, and none of it survives turnover, growth, or expansion.
What changes
Your operation scales without rebuilding how it works.
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Constraint 03
Your team assembles information before it can decide.
The decision takes a minute. Gathering what it needs from four systems takes twenty.
What changes
Every decision starts with the complete picture.
The process
From bottleneck to business impact.
Every engagement follows the same path. It starts with a free operations review.
- 01
Operations review
We identify where growth is getting stuck, what may be causing it, and whether we are the right team to help.
A clear starting point.
- 02
Build the plan
We map the workflow, quantify the opportunity, and define what needs to change.
A clear plan tied to business value.
- 03
Implement the solution
We redesign workflows, connect systems, deploy AI, or build the missing technology required to remove the constraint.
A working operational improvement.
- 04
Measure the impact
We track the result against the business case and refine the solution until the improvement is real.
More capacity, lower operating cost, faster execution, or better visibility.
The operators who brought us in, on how the work actually went.
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Sam and his team move fast, communicate clearly, and bring strong technical judgment to complex healthcare AI work.
Rafael Russ, CEO FunctionalMind -
A unique combination of skills and an amazing team. Throughout the project, they never missed a deadline.
Andrew Carricarte, CEO Olé Life -
Sam and his team were thoughtful, responsive, and easy to work with. They brought clarity and execution when it mattered.
Evan Haruta Dysolve -
Sam and his team built our data warehouse the right way, clean, scalable, and exactly what we needed.
Carlos Edery, CEO Luxury Cruise Connection
Results
What changed for the business.
Real implementations. Measured business outcomes.
Case 01 · FunctionalMind
In production
Three hours of research, down to five minutes.
The bottleneck
Hours of research and hand-retyped lab PDFs before any clinical call could be made.
The business impact
Hours back on every patient, and hundreds of clinicians run on it today.
Engineering delivered
- 3.5 hrs → 5 min
- Research time per patient
- PDF → structured
- Lab results, no retyping
- 220M → 7.2M
- Papers screened, ranked, and indexed
Case 02 · Olé Life
Four years in
Four platforms became one, and stayed one.
The bottleneck
Quoting, policies and member data lived in four systems, and staff carried information between them by hand.
The business impact
One bilingual system across web and mobile, carrying thousands of agents four years on.
Engineering delivered
- 4 yrs
- Still going
- 1000s
- Agents on one system
Case 03 · SeaCare Crew Health
Built from zero
One record for every crew case at sea.
The bottleneck
Crew health cases ran with no single record and no doctor available on demand.
The business impact
One record for every case, with live video straight to a doctor on shore.
Engineering delivered
- Live video
- Straight to a doctor on shore
- 0 to 1
- From nothing to running
Case 04 · Stealth healthcare startup
Anonymized
Anonymized, no logo
From first version to real patients, in one pass.
The bottleneck
A women’s health product with growth ahead of it and a foundation that would not carry the load.
The business impact
Rebuilt to carry real volume, with patient data handled correctly before the first real patient arrived.
Engineering delivered
- First to live
- Rebuilt to carry real volume
- HIPAA
- Patient data work we drove
What implementation looks like
How we solve operational problems.
Every organization is different. We choose the right combination based on the operational constraint, not from a predefined package.
Healthcare operations engineering
Find the operational constraint limiting growth.
Used when growth has stalled and nobody can say precisely what is holding it back.
- Where it shows up
- Intake · Scheduling · Claims · Reconciliation · Reporting
- Typical outcomes
-
- The constraint named
- Its cost quantified
- A ranked plan
Workflow redesign
Remove unnecessary work from every process.
Used when work passes through too many people or systems before reaching a decision.
- Where it shows up
- Patient intake · Claims workflows · Prior authorization · Internal approvals
- Typical outcomes
-
- Fewer handoffs
- Less manual work
- Faster turnaround
AI implementation
Automate repetitive work without losing human oversight.
Used when people spend hours assembling or classifying information a system could prepare for them.
- Where it shows up
- Research retrieval · Lab and document extraction · Triage and routing · Summarization
- Typical outcomes
-
- Hours returned per case
- A human decision on every output
- Commonly used
- Anthropic · OpenAI · Retrieval over indexed sources
Systems integration
Keep every system working from the same information.
Used when the same record lives in several systems and staff carry it between them by hand.
- Where it shows up
- Records and practice systems · Lab and pharmacy feeds · Billing and payments · Patient apps
- Typical outcomes
-
- One source of truth
- No retyping
- Commonly used
- Epic · Cerner · Healthie · Cerbo · Quest · Labcorp · Stripe
Custom engineering
Build the missing capability no software vendor provides.
Used when the workflow you need does not exist in anything you can buy.
- Where it shows up
- Clinical decision support · Case management · Quoting engines · Patient-facing apps
- Typical outcomes
-
- The missing piece, built to carry production volume
- Commonly used
- AWS · Google Cloud · Azure
Technical strategy
Know exactly what to improve next.
Used when the next decision is build, buy or replace and the cost of being wrong is high.
- Where it shows up
- Platform assessment · Sequencing · Architecture and data model · Compliance posture
- Typical outcomes
-
- A written recommendation, with the reasoning
What you keep
You keep what works. We remove what is in the way.
Your operation
- People
- Processes
- Systems
- Data
- AI
- Partners
What we add
One operational layer
- Nothing to migrate
- A human decision on every output
- Patient data safe from day one
What we connect to
The systems your operations already run on
Clinical and health data
Apple HealthKit 
Google Fit Labs and pharmacy
Practice and patient systems
AI
Where it all runs
By the numbers
25
Years building inside healthcare
57
Healthcare implementations
HIPAA + GDPR
Patient data handled correctly from day one
Ready when you are
Your next stage of growth should not require more operational chaos.
In thirty minutes, we will identify where your operation is losing capacity, estimate the business impact, and determine the right next step.
- Identify the constraint limiting growth
- Estimate its operational and financial impact
- Leave with a clear next step
30 minutes. Free. No pitch.
Resources
Insights from building healthcare operations.
Practical ideas on operational bottlenecks, AI adoption, workflow redesign, and engineering decisions.
The Model Was Never the Hard Part
Three studies dropped this spring. Three angles, one story. The model stopped being the hard part. Everything around it is the whole game now.
Read itTwo Weeks, One Map, and the Deal That Almost Didn't Happen
A founder with the biggest hospital deal of his life on the table and no way to answer the security questions. Two weeks of mapping later, the deal closed, and the one genuinely dangerous gap got fixed before someone else found it.
Read itThe Eight Month Reality
The CEO asks how long it would take to replace the vendor system. Engineering says three months. Product says six. The CTO stays quiet. If you've never built production RAG for high-stakes domains, you think that range is reasonable. It isn't.
Read it
