I build AI tools for clinicians, grounded in eight years at the bedside.
I'm a critical care nurse and a Stanford-trained clinical informaticist. I spent eight years learning where hospital technology helps and where it gets in the way. Now I build the tools I wished I had at the bedside: redesigned Epic workflows, an AI policy agent I piloted with nurses on my own unit, and a scheduling platform I co-built.
Alec Womboldt, MS, RN, CCRN, TCRN
The Path
From Midwest bedside to Silicon Valley.
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2012 Manchester University
BS, Biology & Chemistry, minor in Sociology
NCAA cross country and track athlete. First degree, and the start of a pattern: endurance sports and human systems.
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2017 Lansing Community College
AS, Nursing
The pivot to nursing, then straight into acute care.
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2018 Corewell Health · Grand Rapids, MI
ICU Registered Nurse
Surgical and neurosciences ICUs: burns, trauma, and neuro populations. Where I learned how care teams really work.
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2020 EMU then to Stanford Health Care
BSN summa cum laude → Stanford
Finished the BSN with highest honors and moved west to Stanford's critical care region including the Surgical ICU and COVID ICU.
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2025 FullCircle
Co-Builder
Co-built an AI nurse scheduling platform and led product, go-to-market, and California regulatory strategy.
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2026 Stanford University
MS, Clinical Informatics Management + StaffQuery
Graduated from Stanford's CIM program and built StaffQuery, an LLM policy agent piloted with frontline nurses.
Experience
Where clinical practice met informatics.
Registered Nurse · Surgical ICU · Nursing Informatics
- Trained and onboarded over 40 staff nurses on Epic Rover and DAX ambient AI documentation during a six-month nursing informatics internship under the Chief Nurse Informatics Officer. I used the tools on shift myself and fed what I heard from the floor back into the team's evaluation.
- Helped build and deliver a peer training video teaching Epic Rover mobile point-of-care documentation workflows to nurses enterprise wide.
- Helped lead nurse charting redesign as an Epic Optimization Champion, rebuilding inpatient documentation workflows so nurses spend less time clicking and more time with patients.
- Built and piloted StaffQuery, a generative AI policy agent that answers contract and policy questions in seconds. I built it myself on Vercel, with Claude and Gemini under the hood, before I had ever written production software.
- Chaired a unit improvement committee from idea through implementation, precepted over 20 incoming nurses and new graduates, and floated across high acuity critical care units.
- Co-developed UNITTE, an interdisciplinary shadowing program we presented at the National Teaching Institute, a national nursing conference.
Registered Nurse · Surgical & Neurosciences ICUs
- Started as a new graduate RN in the ICU and built the foundation for exceptional assessment skills and patient care.
- Cared for complex burn, trauma, and neuro patients. Those years taught me how care teams actually work, and that understanding anchors everything I build now.
Projects
Built from problems I lived at the bedside.
FullCircle Staffing
Fair to nurses, defensible for managers, citation backed for both.
Building a monthly schedule eats manager time, and nurses get almost no say in when they work. FullCircle goes at both ends of that problem: take the manual labor out of scheduling, and give nurses real autonomy over their own shifts. More access and more control for the people working the floor, aimed squarely at the burnout that comes from having none.
Roster upload by CSV, availability collection, constraint aware monthly schedule generation, live coverage and gap tracking, time off and swap handling, and publishing.
Sign in to view your schedule, submit availability, and request time off or swaps, so scheduling is something you take part in rather than something handed to you.
FullCircle is a team project. The staffing solver and the platform itself are shared work, co-built with my team. Alongside the build we developed the go-to-market strategy, mapped California regulatory exposure under AB 394 and SB 596, and presented to Stanford faculty, clinical partners, and nursing leadership. The platform has not been piloted yet and we are looking for a first site.
StaffQuery
A nurses' union contract governs overtime, time off, floating, and pay, and almost nobody reads it end to end. StaffQuery makes it answerable. Ask in plain language, get an answer back with a citation to the source, in seconds rather than after digging through a PDF mid-shift.
How it works: take the union contract, chunk it, and embed the chunks. A question retrieves the passages that match it, and those passages go to Gemini Flash 2.5 along with the question, which answers in plain language and cites document and page. Deployed on Vercel. I built this one end to end myself as part of the FullCircle project, before I had ever written production software.
What the pilot actually was: StaffQuery is the piece that has been in front of nurses. I put a working prototype in front of frontline nurses on my unit and watched what they asked it. The suggested questions in the product came straight from those sessions: overtime rules, how much notice a schedule change requires, call back pay, and what counts as hours worked. That is the point of the pilot. It was clinician user research, not an adoption number.
Putting it in front of real nurses is also what showed me the distance to production: a governed source of truth for the contract, versioning for a document that gets renegotiated, authentication so only staff can query it, and a real evaluation method for whether an answer is correct. No patient data is involved at any point. The corpus is contract text.
The same build could also query hospital documents, SOPs, and policies, turning thousands of pages into the answers clinicians need quickly, each one carrying a reference back to where it came from.
How it works under the hood
UNITTE
Care teams work better when they understand each other's jobs, but most clinicians never see a shift through a colleague's eyes. UNITTE is a structured shadowing program that changes that.
Co-developed at Stanford and presented at the National Teaching Institute, a national critical care nursing conference.
Awards & Recognition
Academic and professional distinctions.
Education & Certifications
Formal training behind the practice.
- Registered Nurse (RN), California
- Critical Care Registered Nurse (CCRN)
- Trauma Certified Registered Nurse (TCRN)
- Advanced Cardiac Life Support (ACLS)
- Basic Life Support (BLS)
Where I'm Headed
The next chapter.
I'm aiming where clinical depth meets AI product work. Clinicians lose hours to tools designed without them. I lived that problem for eight years, and Stanford gave me the training to fix it. Depending on the team, that work takes a few shapes:
- Clinical Product Manager / Product Specialist: helping design, test, and refine AI agent workflows that interact with vitals, medication titrations, and clinical alerts.
- Clinical Informatics & Implementation Lead: managing technical rollouts, Epic integrations, and protocol configurations for newly signed health systems.
- Clinical AI Safety & Operations Specialist: evaluating automated AI model output against evidence based guidelines and ensuring safety guardrails hold true across patient interactions.
I'm also open to health system informatics leadership where the same product mindset applies. If you're building in this space, I'd like to talk.
About Me
The person behind the credentials.
I came to nursing the long way. My first degree was in biology and chemistry with a sociology minor, and NCAA cross country and track along the way. I didn't really understand what nurses did until I worked with them. Then I realized they carry a huge part of care delivery and are essentially healthcare's operations champions. Nursing school in Michigan, night shifts in trauma and neuro ICUs, and eventually a move west to Palo Alto.
The thread has always been thinking critically, learning, and fixing systems. I precepted new ICU nurses, chaired unit committees, and built shadowing programs. Along the way I learned that most challenges sort into buckets of people, process, or technology, and putting a problem in the right bucket is often how you find its root cause. The distance runner mindset never left either. I've finished the Boston Marathon three times (2018, 2023, and 2024), and I'm at my best on long, patient problems that reward showing up every day.
This site is one of those problems. I built it the same way I built FullCircle, by shipping, with AI as my pair programmer.
Let's Build Something Clinicians Actually Use
Open to conversations about health AI product roles, clinical informatics, and advisory work.
Alec WomboldtMS, RN, CCRN, TCRN
- aswomboldt@gmail.com
- Phone
- 517.285.9193
- alec-womboldt
- Based in
- Palo Alto, CA
Click the track or press space to run. Jump the hurdles.