Matthew Callstrom, medical director for strategy and chair of radiology at Mayo Clinic, details the $17-billion nonprofit's AI goals to J.P. Morgan Healthcare Conference attendees. Real-world data and artificial intelligence are front and center among Mayo Clinic’s plans for the future.FIERCE Healthcare
Generative artificial intelligence remains top of mind for health system marketing chiefs heading into 2024. Some of the biggest health systems in the country have already deployed or plan to pilot generative AI in the new year. Becker’s Health IT
With waits for individual psychotherapy as long as several months and several thousand outstanding orders, the mostly rural health system needed a solution. Combining group therapy and telemedicine was the answer. Healthcare IT News
Boston Children's Hospital is among the early adopters of the new ChatGPT Team platform from OpenAI that allows companies to customize their generative artificial intelligence uses. Becker’s Health IT
This Week in The Big Unlock Podcast
Implications of AI in Healthcare from a Clinical, Legal, Ethical, and Design Standpoint
In this episode, four colleagues from the Harvard Medical College Global Leadership have come together to discuss the implications of AI in healthcare in the light of clinical, legal, ethical, and design. Listen now.
Extract 1: Listen to this extract where Dr. Njide Udochi talks about the challenges of primary care providers. (5.20 mins)
Extract 2: In this extract, Craig McCloud, coming in from a legal perspective, shares a historical overview and explains how traditional considerations are evolving in the face of AI and machine learning. (5:00 mins)
Extract 3: In this extract, Craig and Tarul discuss the ethical considerations and health equity best practices for AI innovation and implementation. (8:00 mins)
Extract 4: In this extract, Rohit Mahajan talks about how clinical, ethical, and legal considerations of AI influence design best practices. (3:22 mins)
Social determinants of health are particularly important in cancer care, where patients face a complex medical journey and having access to social support can influence survival outcomes. FIERCE Health
In 2023, M&A activity did not increase, even though cash-strapped startups were expected to look for buyers. And despite tightening capital availability and a sluggish exit market, there wasn’t a pronounced spike in startup shutdowns,1 though there were some notable bankruptcies and asset sales. Rock health
An upturn in the number of providers charging for messages suggests organizations now see e-visits as a long-term source of potential revenue, researchers said. Healthcare DIVE
Even as GAI solutions continue to be developed specifically for healthcare, already many medical consumers are turning to the well-known chatbot for self-diagnosis. LinkedIn Pulse
For patients, interacting with healthcare organizations has historically lacked customization and personalization. They are compelled to use the communication channels provided by organizations and access care with defined constraints. Damo blog
DigiMTM model is a framework that describes the different stages of digital maturity in the specific context of health systems. The framework is supported by an automated online evaluation tool that scores the digital programs of individual health systems and provides benchmarks to drive incremental investments and roadmap execution priorities.
DigiMTM model is a framework that describes the different stages of digital maturity in the specific context of health systems. The framework is supported by an automated online evaluation tool that scores the digital programs of individual health systems and provides benchmarks to drive incremental investments and roadmap execution priorities.
This book, by Rohit Mahajan, explores the current and future implementation of AI in healthcare and medicine. The impact of AI in drug discovery with examples including how AI helped bring the COVID-19 vaccines to market. Answers to ethical and privacy concerns about healthcare AI, and best practice guides for practitioners and administrators. Book
The book by Paddy Padmanabhan provides actionable insights on developing enterprise digital roadmaps and implementing digital health solutions at every touchpoint in a consumer’s journey. Book
The online systems that make recommendations to us often rely on their digital footprint — our clicks, views, purchases, and other digital footprints — to infer our preferences. But this means that human biases are baked into algorithms. To build algorithms that more effectively predict users’ true preferences and better enhance consumer well-being and social welfare, organizations need to employ ways to measure user preferences that take into account these biases. This article explains how to do so. HBR
Note: Some of the articles linked in this newsletter may be behind paywalls that need a subscription.
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