mHealth Platform 2.0
Co-architected the infrastructure that runs remote, multi-site clinical studies across an academic medical center. One platform replaced per-study builds, with the audit trail and data provenance regulators expect.
Palo Alto Health Labs is the senior technical counterpart teams bring in to get regulated digital health right the first time — a CTO who has shipped clinical software, with a Stanford PhD in clinical epidemiology.
Most digital health work falls into a gap. Engineers ship software that doesn't survive contact with clinicians, regulators, or patients. Clinicians design studies that cannot be implemented. We are a single, senior counterpart fluent in both worlds.
Production mobile health apps, regulated data pipelines, EHR integrations, wearable ingestion, and the platform architecture beneath them. Built and shipped — not whiteboarded.
A PhD in computational epidemiology with a neurology focus. Study design, eCOA validation, biostatistics, and a working understanding of how clinical evidence is actually built.
You don't have to translate between vendors. We hold the technical architecture, the scientific design, and the regulatory posture in the same head — and write the spec accordingly.
For digital health companies, and for hospitals, practices, and clinics putting AI to work. Each can be scoped on its own or folded into an advisory, fractional CTO, or build engagement, with one senior counterpart holding the engineering, the science, and the compliance posture.
For hospitals, practices, and clinics: find the workflows where AI pays off, build and integrate it under HIPAA, and get staff using it.
Learn more 02Patient- and clinician-facing iOS and Android apps, HIPAA-compliant from the first commit, with wearable and EHR connectivity.
Learn more 03Gap assessment, technical safeguards, BAA coverage, policies, and verification that what is documented is what is built.
Learn more 04Platform, cloud, and data architecture for regulated products, with the expensive-to-reverse decisions made deliberately and in writing.
Learn more 05Intended use, classification, pathway, design controls, and documentation, planned before the architecture locks it in.
Learn more 06Protocols, digital endpoints, eCOA/ePRO, analysis plans, and the decentralized trial infrastructure that captures the data.
Learn more 07Sourcing and licensing clinical datasets, de-identification, governance, and annotation workflows with clinical labelers and quality control.
Learn more 08FHIR and SMART on FHIR, Epic and Oracle Health, HL7 v2, and wearable ingestion that land in a usable data model.
Learn more 09Independent review of a product, codebase, or vendor for investors, acquirers, and partners, with a risk-rated report.
Learn moreMost founders start with the audit: three weeks, a written deliverable, and a clear view of what to fix before the next raise. Everything after that is optional and builds on it.
A senior-led review of your product across seven readiness domains: regulatory intent, architecture, data and interoperability, evidence, security, quality, and team.
A standing seat on your technical leadership. Architecture review, hiring input, vendor selection, and regulatory orientation.
Embedded leadership through a defined arc, from architecture through hiring through first production release. The most common engagement for funded startups.
A senior team delivers a defined platform or application. We hold the architecture, the science, and the timeline through release.
Not sure which? Book the scoping call and we'll name the smallest engagement that moves you forward.
Seed through Series B digital health companies whose product has to satisfy regulators, clinicians, and investors at the same time — usually before the first senior technical hire.
Deciding what to build: intended use, SaMD classification, and the architecture and data decisions that are expensive to reverse once capital is committed.
Diligence-ready: a written technical and regulatory position investors and partners can review, and a credible technical voice in the room when they ask.
An inherited codebase or an outsourced build with no senior owner. We take technical ownership and set the bar for whoever writes the code.
We also work with hospitals, medical practices, and clinics on AI implementation, and take a limited number of engagements with pharma innovation groups and research consortia, usually starting with an assessment or the audit.
Bring the architecture, the science, and the regulatory posture to one senior counterpart. Start with a 30-minute scoping call — we'll tell you the smallest engagement that moves you forward.
The practice is led by its founder — both as the senior technical counterpart on every engagement and as the person responsible for the work delivered.
“The work I care about lives in a narrow band — software that actually clears the clinical bar and science that actually ships. Palo Alto Health Labs exists to do that work for partners who need a counterpart who has done it before.”
Mike Hittle holds a PhD from Stanford in computational epidemiology with a focus on neurology. Over the last decade, the through-line of the work has been re-engineering how digital health gets built — co-architecting the platform infrastructure for Stanford Medicine, founding open-source infrastructure for regulated health apps, shipping research platforms that link wearable and EHR data, and teaching the next cohort of engineers to that bar. The portfolio below has the specifics.
The unusual profile — a senior engineering leader with first-hand medical and epidemiologic depth — is what Palo Alto Health Labs offers its partners.
Platforms, open-source infrastructure, and courses that shipped — and what each one proved. The practice today is this work on behalf of new partners.
Co-architected the infrastructure that runs remote, multi-site clinical studies across an academic medical center. One platform replaced per-study builds, with the audit trail and data provenance regulators expect.
Founded an open-source foundation for regulated mobile health apps, now used across academic and industry programs. Teams start from a HIPAA-conscious, ResearchKit-based codebase instead of a blank repository.
Designed and built an eCOA platform pairing a clinician dashboard with a participant app, linking wearable data to the EHR. Research-grade neurology data a biostatistician can use without a cleanup project.
Created a project-based course in which engineering teams ship a clinical-grade app in one quarter with real clinical partners. A repeatable method for taking a team from zero to a reviewable product.
Teaches epidemiologic method applied to digital health at the school of medicine — the same translation between evidence design and software that the practice does for clients.
The 60-point checklist we use to pressure-test a digital health product before a line of code is committed — spanning regulatory intent, architecture, interoperability, evidence, security, and quality. Built from shipping regulated clinical platforms.
The questions founders ask before a first call.
Book a 30-minute scoping call, or send a short note — we respond personally within two business days. For sensitive material, ask for our PGP key or a signed NDA before sharing detail.