We're a team of physicians, AI engineers, and healthcare operators on a mission to eliminate the administrative burden crushing our healthcare system—so clinicians can focus on what they do best: caring for patients.
Health1st AI was born from a crisis. In 2020, Dr. Sarah Mitchell was Chief Medical Information Officer at a large health system, watching talented physicians quit due to overwhelming administrative burden. Despite implementing a top-tier EHR system, physicians were spending 2+ hours nightly on documentation at home—“pajama time” that destroyed work-life balance.
The breaking point came when three physicians in Sarah's network left medicine entirely in a single year—not due to patient care, but crushing documentation requirements. One was Sarah's mentor. Another, a close friend. The third, a rising star who chose a corporate job over practicing medicine.
Sarah partnered with Alex Chen, who had just left Google Health after building clinical NLP systems processing millions of medical records. Alex's insight: “We've solved harder AI problems at Google. The technology exists to automate 90% of clinical documentation—healthcare just hasn't deployed it correctly.”
In Sarah's garage (cliché but true), they built the first prototype of STRAN—an ambient AI medical scribe that could listen to patient visits and generate accurate clinical notes in real-time. The goal: give physicians their time back.
They piloted STRAN at Green Valley Clinic with 15 volunteer physicians. Within 90 days, documentation time dropped 60%. After-hours charting nearly disappeared. Patient satisfaction scores jumped 22%. One physician cried during the feedback session: “You gave me my life back. I'm present with my family again.”
That response fueled everything that followed. Today, Health1st AI serves 200+ organizations with 35+ specialized AI agents covering clinical documentation, revenue cycle, interoperability, and compliance. But our mission hasn't changed: eliminate administrative burden so healthcare professionals can focus on what matters—caring for patients.
These principles guide every product decision, customer interaction, and line of code we write.
Every product decision starts with one question: Does this give physicians more time with patients? We measure success not in features shipped, but in hours of clinician time saved and burnout prevented.
We're scientists, not salespeople. Every claim we make is backed by peer-reviewed research or rigorous A/B testing. If we say '60% reduction,' we show you the data and methodology.
We publish our accuracy metrics, share customer case studies (with permission), and admit when our AI makes mistakes. Trust is earned through honesty, not marketing spin.
AI should augment human expertise, not replace it. We build systems with 'human in the loop' for critical decisions, because medicine is too important for black-box automation.
Good enough isn't. We hold ourselves to >95% accuracy standards, conduct monthly clinical validation, and have board-certified physicians review AI outputs. Healthcare demands perfection.
World-class AI shouldn't require Fortune 500 budgets or PhD data scientists on staff. We make enterprise-grade technology accessible to community hospitals and small practices.
Healthcare veterans, AI experts, and operators who've walked in your shoes and understand your challenges firsthand.
400x400px
Professional headshot of Dr. Sarah Mitchell, female physician executive, warm smile, business attire, modern office background
Co-Founder & CEO
Former Chief Medical Information Officer at a Fortune 500 health system, Sarah experienced firsthand the administrative burden crushing physicians. After losing 3 colleagues to burnout in a single year, she left clinical practice to build the AI solution she wished existed. MD from Johns Hopkins, MBA from Stanford.
Expertise:
400x400px
Professional headshot of Alex Chen, male tech executive, confident expression, business casual, tech office setting
Co-Founder & CTO
Led AI engineering teams at Google Health and Amazon HealthLake, building large-scale clinical NLP systems. Holds 12 patents in medical AI and natural language processing. Passionate about making enterprise-grade AI accessible to every healthcare organization. PhD in Computer Science (AI) from MIT.
Expertise:
400x400px
Professional headshot of Maria Rodriguez, female Hispanic executive, approachable smile, professional attire, hospital administrative setting
Chief Revenue Cycle Officer
30+ years in healthcare revenue cycle management, including VP of RCM at Epic Systems and consulting for 200+ hospitals. Recognized as one of the 'Top 50 Revenue Cycle Leaders' by Becker's Hospital Review. Knows every denial code by heart and every payer trick in the book.
Expertise:
400x400px
Professional headshot of Dr. James Park, male Asian physician, stethoscope visible, white coat, clinical setting background
Chief Medical Officer
Board-certified internist with 15 years of clinical practice and expertise in clinical informatics. Former physician champion for Epic implementation at a 500-bed academic medical center. Ensures every Health1st AI feature solves real clinical problems, not imaginary ones.
Expertise:
400x400px
Professional headshot of Jennifer Walsh, female executive, serious professional expression, legal/compliance setting
Chief Compliance Officer
Former HIPAA auditor for HHS Office for Civil Rights, conducted 50+ compliance investigations. JD from Georgetown Law, certified in healthcare compliance (CHC). Obsessed with making AI solutions that are bulletproof from a regulatory perspective while remaining usable.
Expertise:
400x400px
Professional headshot of David Kim, male product executive, creative energy, modern tech office with product boards visible
VP of Product
Built product teams at athenahealth and Cerner, shipping EHR features used by 100K+ physicians. Believer in radical user-centricity—spends 10+ hours weekly shadowing physicians, billers, and IT staff to understand their pain. Former healthcare consultant at McKinsey.
Expertise:
From garage startup to transforming healthcare for 200+ organizations
Health1st AI founded by Dr. Sarah Mitchell and Alex Chen with mission to eliminate physician burnout through AI automation.
STRAN ambient AI scribe deployed at pilot site (Green Valley Clinic, 15 providers). 60% reduction in documentation time achieved within 90 days.
$25M Series A led by Andreessen Horowitz and GV (Google Ventures). Expanded platform to include RCM and interoperability solutions.
Achieved SOC 2 Type II, HITRUST CSF, and HIPAA compliance certifications. Established enterprise security framework.
Reached 200+ healthcare organizations using Health1st AI platform. Named to KLAS Research 'Emerging Solutions' list and CB Insights AI 100.
Expanded to 35+ specialized AI agents covering clinical documentation, revenue cycle, interoperability, and compliance. Processed 10M+ patient encounters.
KLAS Research
Emerging Solutions 2024
SOC 2 Type II
Security Certified
HITRUST CSF
Compliance Certified
CB Insights
AI 100 List
Whether you're a healthcare organization ready to eliminate administrative burden or a talented professional who wants to make a difference, we'd love to hear from you.
Join our community and get updates on product launches, case studies, and healthcare AI insights.
Be among the first to transform your healthcare operations with Agentic AI. Early access begins Q1 2026.
