AI in healthcare
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Cedars-Sinai’s CMIO Has A Piece of Advice for AI Startups
At HLTH, Shaun Miller — Cedars-Sinai’s chief medical information officer — pointed out one thing he thinks healthcare AI companies haven’t quite gotten right yet. He said he would “really like there to be a lot more recognition around the personalization of AI and the ability for technology to understand that not every clinician is the same.”
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How Mayo Clinic Is Approaching Generative AI Risk Mitigation
At HLTH, Mayo Clinic Platform President John Halamka gave a window into how his health system is mitigating generative AI risks. Some of the measures Mayo is taking include running analyses on how well algorithms perform across various subgroups and training models only on internal de-identified data.
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Jorie Healthcare CEO Shares Why Automation is Critical to Revenue Cycle Management
The revenue cycle management business is using AI tools to automate cumbersome tasks to help hospitals operate more efficiently. It’s beginning to attract the attention of major healthcare organizations.
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Artificial Intelligence, Consumer / Employer, Health Tech, Hospitals, Patient Engagement, Startups
7 Hot Takes I Heard at HLTH
At HLTH 2023, I had dozens of conversations with providers, digital health investors, startup CEOs and other players in the healthcare industry. When I got home, I compiled seven refreshingly honest takes I heard from them while at the conference.
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How Can LLMs Be Deployed Safely in Healthcare?
Healthcare technology experts have confidence that the industry will put the right guardrails up around LLMs as it continues to develop and deploy these AI tools, they said Sunday during a panel discussion at Engage at HLTH.
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7 AI Pitfalls That Hospitals Should Avoid
As hospitals across the nation adopt more and more AI technology, there are some common hazards of which they should be wary. During a conference presentation on Tuesday, healthcare AI expert Suchi Saria laid out seven AI pitfalls hospitals should look out for — some of these include being duped by Big Tech companies’ marketing strategies and focusing too much on administrative use cases.
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Babylon Health’s CEO ‘Should Spend Some Time With Elizabeth Holmes’
U.K. doctor David Watkins has been a public critic of Babylon Health and its AI technology for years, during which has received anonymous emails from Babylon employees who shared his concerns but feared to speak out publicly. After Babylon collapsed, a former employee publicly declared that the AI engine was indeed faulty. As a longtime skeptic of Babylon’s claims surrounding its technology, Watkins said that Ali Parsa, the company’s CEO, shouldn’t be treated any differently to Elizabeth Holmes.
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How Meditech Plans to Integrate Google’s Generative AI Into Its EHR
Over the past year, Meditech has deepened its relationship with Google Cloud by exploring ways to embed Google’s generative AI into its EHR. Some of the use cases the EHR vendor is exploring include an enhanced search and summarization tool that would present clinicians with a longitudinal view of their patient and a tool that would auto-generate clinical documentation for the hospital course summary.
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4 Steps Needed to Improve Patient Safety On a National Level, Per PCAST
The President’s Council of Advisors on Science and Technology (PCAST) issued a report that laid out four recommendations to improve patient safety across the nation. Some of these included creating federal leadership positions focused on advancing patient safety and hastening research on systems of safe care.
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How Pitango VC Is Planning to Invest Its New $175M Health Tech Fund
Pitango Venture Capital, one of the largest venture capital firms in Israel, announced the first closing of a new $175 million healthcare technology fund. With the new fund, the firm plans to build a portfolio of approximately 15 new companies over a period of three to four years.
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Navigating Healthcare’s Data Revolution: Priorities, Opportunities, and Challenges for Health Systems
Arcadia recently partnered with HIMSS Market Insights to survey executives, IT, technology, and clinical leaders. Here’s what we found.
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How Will Generative AI Change the Role of Clinicians In the Next 10 Years?
A new report predicted that generative AI tools will increasingly streamline many aspects of a clinician’s day in the next five to 10 years — and that this is particularly true for tools that can automate diagnoses and respond to patients’ questions.
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Regard Teams Up With OpenAI to Develop Chatbot Functionality Built On GPT-4
Regard — a startup selling an AI co-pilot that helps clinicians diagnose medical conditions — announced a new partnership to add to its technology’s capabilities. The company is teaming up with OpenAI to release new chatbot functionalities built on OpenAI’s large language model GPT-4.
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Innovaccer Unveils AI Suite With Automation Tools For Doctors, C-Suite Execs, Care Managers & More
Innovaccer announced a new suite of healthcare products. It comprises four different solutions — one for answering healthcare executives’ questions about their business metrics, one for automating care planning and documentation, one for generating clinical visit summaries, and one for streamlining workflows at contact centers.
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Healthcare AI Trends to Watch: M&A Exits & Generative AI Use Cases
The healthcare AI space will be an exciting one to watch over the next couple years, as investment dollars flow to startups and providers launch more AI pilots. Two of the most interesting trends to watch will be the use cases that healthcare organizations prioritize when deploying generative AI models, as well as M&A activity within the healthcare AI field, a CB Insights analyst declared during a recent webinar.
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How Geisinger, UNC Health Are Deploying Predictive Algorithms
Executives from Geisinger and UNC Health discussed the most impactful ways they have deployed predictive AI across their health systems during a recent virtual panel. At Geisinger, these predictive algorithms are reducing avoidable emergency department admissions, and at UNC, they are helping to identify sepsis before it becomes severe.
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Advice Given by ChatGPT Vs. Human Providers Is Nearly Indistinguishable, NYU Study Says
NYU researchers conducted a study this year in which nearly 400 people were asked to identify whether responses to patient questions were produced by human providers or ChatGPT. Participants had a limited ability to tell the source of the responses apart, so the study authors concluded that the use of LLMs like ChatGPT could be an effective way to streamline healthcare providers’ communication with patients.