The blank page should not follow you home.
The workspace starts the draft from what you dictate or type, so review begins before the evening disappears.
ABOUT · CHATGPT CLINICIAN
Built by people who know the clinic day does not end when the door closes.
Before ChatGPT Clinician, this team built CompliantChatGPT and healthcare products used in real clinical work. That experience made one problem impossible to ignore: the work left after the last patient still runs on fragmented tools, repeated context, and time clinicians no longer have.
OUR MISSION
Give the last hour of the clinic day back.
Four decisions that shape what belongs in the product—and what does not.
Context should arrive before the question.
Referrals, prior notes, and patient history should be available when they change what happens next.
PHI should be handled before a model sees it.
Identifying detail is stripped before a request reaches an underlying model, with a BAA available on paid plans.
A draft is still a draft.
The tool helps write, summarize, and organize. The clinician reviews, decides, and signs.
LEADERSHIP
The people behind the evening workspace.
A healthcare-focused team working across product, operations, engineering, and applied AI.
Alan Brande
CEO
Strategic leader focused on healthcare innovation and digital transformation, with a deep understanding of healthcare IT solutions that improve clinical operations and outcomes.
Martin Oppenheimer
COO
Startup operator focused on strategy, process efficiency, talented teams, and the practical application of artificial intelligence in medicine.
Javier Lempert
CTO
Software engineer and architect with more than eight years designing digital products, specializing in digital health. CTO and Founder at Light-it and Puppeteer.
Bruno Ferrari
CIO
Technology leader specializing in healthcare innovation, AI-driven solutions, and digital product strategy, connecting industry, academia, and applied healthtech.
Clemente López
Head of ChatGPT Clinician
Startup builder turning healthcare's hardest operational problems into products people actually adopt, driven by what comes next rather than what feels comfortable.