Hospitals need to start thinking about ways to build patients’ trust in generative AI in order for the healthcare industry to fully harness the technology’s potential. They can do this through methods like having transparent conversations, asking for patients’ consent to use the tools and training models on internal data, experts said.

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Allegheny Health Network rolled out a large language model designed exclusively for use by its staff members. You can think of the tool as the health system’s own version of Chat-GPT, said Ashis Barad, AHN’s chief digital and information officer.

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This month, the World Health Organization released new guidelines on the ethics and governance of LLMs in healthcare. Reactions from the leaders of healthcare AI companies have been mainly positive. However, one leader pointed out that fear or the risks associated with LLMs shouldn’t hinder innovation, and another noted that the guidance may have failed to mention a major topic.

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Google introduced a new suite of healthcare-focused generative AI models designed to speed up workflows for clinicians and medical researchers. Health systems and medical research organizations, including HCA Healthcare and BenchSci, have been testing these models since April.

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A new study led by Stanford researchers tested four commercially available LLMs and found that they all could potentially cause harm by breeding inaccurate, racist information. For example, all models tried to justify race-based medicine when asked questions about calculating patients’ kidney function and lung capacity — two areas where race-based medicine practices used to be common but have since been scientifically refuted.

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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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This year, HCA Healthcare and Google Cloud have expanded their partnership by exploring ways to integrate Google’s generative AI into HCA’s workflows. The most developed project under this initiative is a pilot that began in February in which HCA’s emergency department physicians are testing a voice-enabled medical dictation tool to save them time on clinical documentation.

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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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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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Senator Mark Warner (D-Virginia) penned a letter to Google leadership expressing concerns about Med-PaLM 2 — the company’s generative AI tool for healthcare providers that is currently being used by Mayo Clinic and other health systems. The letter requested that Google provide more clarity about its chatbot’s training, accuracy, ethical considerations and deployment in healthcare settings.

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Amazon recently unveiled HealthScribe, an API that software companies can use to create clinical note generation apps that providers can later adopt. With this approach, Amazon is seeking to collaborate with companies that are building clinical documentation AI apps rather than compete with them. Some think this approach is clever, but others think it does little to facilitate bi-directional EHR integration and create standardization.

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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.

The post Advice Given by ChatGPT Vs. Human Providers Is Nearly Indistinguishable, NYU Study Says appeared first on MedCity News.

There are three key areas of the healthcare sector where generative AI is booming the most — in terms of both venture capital funding and the development of innovative technology — according to Anjalika Komatireddy, an analyst at CB Insights. During a recent webinar, she discussed the generative AI activity occurring in these three areas: care delivery and navigation, digital therapeutics and drug discovery.

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Iodine Software recently announced that it is expanding its relationship with OpenAI. By doing so, Iodine will integrate the latest GPT-4 language model into its existing AI technologies and datasets, specifically its AwareCDI product suite.

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Renee Dua and Nick Desai —the husband-and-wife duo who founded physician house call company Heal in 2014 — have launched another healthcare startup. The company, called Together by Renee, said it is the first app to use generative AI to manage time-consuming healthcare tasks for older patients, those with chronic diseases and their stressed-out caregivers.

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Google Cloud and Mayo Clinic recently announced a partnership focused on generative AI — the health system will be deploying a new HIPAA-compliant Google Cloud service called Gen App Builder. The tool enables providers to create a search system for their data, equipped with conversational features powered by Google’s large language models.

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Many experts think technology will help mitigate healthcare’s burnout crisis and workforce shortage, but the healthcare industry still has a lot to figure out when it comes to choosing which tools to deploy and getting its workers on board with these new tools, according to a new report from GE HealthCare.

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The use of LLMs in healthcare is still incredibly nascent, so many experts are calling for a safety framework to make this uncharted territory feel safer. There are still a lot of unknowns, but avoiding clinical use cases and not inputting patients’ health information seem to be the most important guardrails providers are putting around LLMs at the moment.

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Healthcare IT companies experienced a bounceback in venture capital deal activity during Q1 of 2023. Rebecca Springer, PitchBook ’s lead healthcare analyst, said she is optimistic that healthcare IT startups will be able to keep this momentum going, especially those focused on staffing and value-based care enablement.

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The use of LLMs in healthcare is still quite new, so health systems want to deploy these tools in the least risky way possible. A panel of experts explained how they think health systems can do this during MedCity’s INVEST conference — some of their advice included starting with deployment in nonclinical settings and partnering with incumbent vendors rather than startups.

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