Ultimately, to get generative AI in healthcare right we need input from the clinicians who will use these tools – and who understand the ramifications of applying AI without first rigorously testing applications to ensure they are safe and provide clear clinical value.
No matter what camp healthcare providers sit in, it's important for them to understand how they can harness the power of responsible generative AI. Here we dive into some use cases to consider exploring and how it’s impacting healthcare – for the better.
In an era of escalating healthcare costs and a growing preference for natural, holistic approaches to health, The Impact Brands emerges as a collective of diverse brands dedicated to supporting overall wellness through natural means.
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.
In a preview before the official announcement at HLTH last week, Microsoft executives and its hospital customers shared use cases of how its suite of AI tools can be used by health systems to improve healthcare delivery and alleviate provider burnout.
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.
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.
The TSX Venture Exchange has a strong history of helping early-stage health and life sciences companies raise patient capital for research and development.
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.
A recent academic study of the leading LLM AI models’ ability to read and interpret clinical information demonstrates the incredible power of these tools to support healthcare, but concludes that LLMs should be used as “a supplement to existing workflows rather than as a replacement for human expertise."
Healthcare IT companies raised $1 billion in venture capital in Q2 — down slightly from the $1.3 billion raised in Q1 but up significantly from the $451.3 million raised in Q4 2022. Unsurprisingly, a lot of these investments were made in companies offering generative AI products. Another key trend was increasing cash flow to remote patient monitoring startups, likely caused by expanded reimbursement for these services.
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.
At the Payer Insights sessions on Day 1 of ViVE 2024, a panel on prior authorization offered compelling insights from speakers who shared the positive developments in this area after years of mounting frustration. Speakers also shared challenges as they work with providers to figure out how policy developments and technology will work in practice.
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.
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.
Epic announced that it will integrate Abridge’s clinical documentation tool into its EHR workflow. The startup’s generative AI tool listens to visits and creates a near-instant summary that adheres to physicians’ prototypical note structure.
Generative AI further enhances the value of prompt engineering by synthesizing important insights from various interactions, including text, images, compliant transcripts, and call notes. By automating this process, generative AI quickly transforms on-the-ground insights into robust analytics.
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.