By Quentin Chu – OpenAI’s entry into healthcare is good news, unambiguously. When the company behind ChatGPT announces a dedicated health product, it validates what many of us have known: AI has crossed the threshold of genuine clinical utility. Patient expectations are shifting. Health systems are finally ready to engage seriously with AI. The consumer health moment is real and worth celebrating.
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This month’s AI report includes news and updates from Nabla, Aultman Health System, Accuity, SWBC, Certilytics, ATA, Altoida, Mindspan, Abridge, Availity, Tempus, NYU Langone Health, GeneDx, Komodo Health, MedeAnalytics, Basys.ai, CloudMoyo, rater8, EBIX, MediKarma, MDisrupt, & b.well Connected Health.
The Expanding Role of Psychiatric Nurse Practitioners. Psychiatric nurse practitioners sit at the center of this transition. Their scope of practice blends assessment, medication management, and therapeutic engagement. Predictive tools align well with that hybrid role.
By April Miller – The medical community is adopting AI to streamline tedious processes, particularly at the front desk. Small medical practices can especially benefit from AI, as it provides advantages that were previously inaccessible to smaller practices.
By Zac Amos – As healthcare providers increasingly rely on artificial intelligence and machine learning to support clinical decisions, operational workflows and population‑health management, maintaining the reliability and safety of such AI systems becomes critical.
This month’s AI report includes news and updates from Reimagine Care, Tampa General Hospital Cancer Institute, HarmonEyes, Welldoc, CLEAR, MedeAnalytics, Basys.ai, Artera.io, Angle Health, Briya, Carta Healthcare, RapidAI, AWS, Pibit.AI, Wolters Kluwer, Greenway Health, TeleTracking Technologies, & Pleio.
By April Miller – Healthcare providers hear patients on the phone every day, but much of the insights from these conversations disappear when the call ends. It is challenging to capture every sentiment when relying solely on notes from front desk staff, while clinicians see only a fraction of what patients share when they are anxious or confused.
By Andy Dé – Despite the hype and heavy investment, most organizations are discovering that generative AI is far harder to operationalize than imagined. MIT’s report, The Gen AI Divide: State of AI in Business 2025, reveals that 95% of Gen AI projects fail to reach meaningful production.
By Anmol Madan – Healthcare is in a moment of reckoning. Regulatory shifts and the growing expectations of digital-native healthcare consumers are exposing inefficiencies the industry can no longer ignore.