According to Ethan Mollick on X, OpenAI released ChatGPT for Clinicians, a free clinical-grade version of ChatGPT, alongside HealthBench Professional to evaluate real clinician chat tasks; Mollick cites Karan Singhal noting the model reportedly outperformed specialty-matched physicians with unlimited time and web access on OpenAI’s open benchmark, while cautioning that OpenAI designed the benchmark. According to Karan Singhal on X, the tools aim to support care workflows, with HealthBench Professional fully open for external review, enabling hospitals and researchers to replicate evaluations and compare models. As reported by the posts, business implications include lower-cost clinical decision support, standardized evaluation of AI assistants across specialties, and opportunities for vendors to integrate benchmarked models into EHR workflows and care navigation, pending independent validation.

According to Greg Brockman on X, OpenAI introduced ChatGPT for Clinicians, a free version of ChatGPT tailored for clinical workflows, along with HealthBench Professional to evaluate real clinician chat tasks (source: Greg Brockman, X, Apr 23, 2026; original announcer: Karan Singhal, X). According to OpenAI’s executive post, the clinician-focused ChatGPT aims to assist with structured documentation, care coordination, and evidence-grounded reasoning, creating opportunities for hospitals and digital health startups to streamline intake, triage, and note generation while reducing administrative burden (source: Greg Brockman, X). As reported by Karan Singhal on X, HealthBench Professional provides a standardized benchmark to assess model performance on realistic clinician conversations, enabling health systems and vendors to compare safety, hallucination rates, and adherence to clinical guidelines across models before deployment (source: Karan Singhal, X). According to the X announcements, the offering is free for clinicians, which may accelerate enterprise pilots, vendor integrations with EHRs, and third‑party compliance tooling around auditability, guardrails, and prompt governance in healthcare settings (source: Greg Brockman and Karan Singhal, X).