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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A new startup launched at the SynBioBeta conference. The company, called CybergenX, is seeking to integrate AI-powered cybergenetic technology into the synthetic biology field. By doing this, CybergenX is seeking to accelerate the potential of engineering biology in drug manufacturing.

The post This Chip Seeks to Transform Drug Manufacturing by Learning More About Intracellular Dynamics appeared first on MedCity News.

Mass General Brigham researchers conducted a study to learn more about the efficacy of large language models when used to draft responses to patient messages in the EHR. The results showed that these AI tools can do a good job at reducing physicians’ workloads and improving patient education — but also that these tools have limitations that require human oversight.

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At HIMSS, Google Cloud announced new AI features designed to assist providers, payers and any other healthcare organizations seeking to make better use of their clinical data.

The post Google Cloud Releases New Clinical Generative AI Tools at HIMSS24 appeared first on MedCity News.

Bill Fera — a principal and head of AI at Deloitte — said that the generative AI frenzy holds incredibly promising opportunities for health systems. He noted that in order for hospitals to succeed in the era of generative AI, they need to establish the right metrics for their pilots early on so they can quickly nix or scale them.

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As more and more organizations integrate Generative AI with Configure, Price, Quote (CPQ) systems, they declare their belief that we can aspire to incredible advancements in human health and well-being through digital transformation.

The post The Integration of Gen AI and CPQ Systems for Personalized and Efficient Healthcare appeared first on MedCity News.

In clinical trials, pharmaceutical companies are seeking to optimize operations and improve efficiency by automating and enhancing processes through Artificial Intelligence (AI) and Machine Learning (ML). One area where this can reap tangible benefits across clinical trials is in data processing. A typical clinical trial generates over 13,000 documents in various formats (text, voice, video, […]

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The only way to effectively scale care coordination to meet the needs of digital consumers is through technology, combined with empowered staff and transformed processes.

The post Using Technology To Navigate the Care Journey appeared first on MedCity News.

Increasing innovation in, and consumer demand for, healthcare technology continue to transform the Medtech industry, including in digital health, wearables, diagnostics, telemedicine and other health IT solutions.

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Executives at LRVHealth expect to see a continued focus on generative AI, increased enrollment in Medicare Advantage and more in 2024.

The post One VC Firm’s 5 Healthcare Predictions for 2024 appeared first on MedCity News.

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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Deloitte released a report predicting the key trends that will shape the healthcare landscape in 2024. Some of them include hospital M&A, health systems outsourcing departments and the increasing adoption of generative AI tools.

The post 5 Trends Shaping Healthcare Business Strategies for 2024 appeared first on MedCity News.

Researchers recently tested ChatGPT’s ability to answer patient questions about medication, finding that the AI model gave wrong or incomplete answers about 75% of the time. Providers should be wary of the fact that the model does not always give sound medical advice, given many of their patients could be turning to ChatGPT to answer health-related questions.

The post ChatGPT Does a Bad Job of Answering People’s Medication Questions, Study Finds appeared first on MedCity News.

At RSNA 2023, AI startup Hoppr announced that it teamed up with AWS to launch a new foundation model. The product, named Grace, is a B2B model designed to help application developers build better AI solutions for the medical imaging field — and to build them more quickly.

The post AWS, Hoppr Launch Model to Accelerate Generative AI Tools in Medical Imaging appeared first on MedCity News.

In reality, the healthcare sector is, in many ways, the ideal place for AI to be used. After all, it’s one of the few industries with access to a treasure trove of precisely the kind of high-quality data with which AI operates best.

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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.

The post Generative AI and Patient Care: It’s All About the Content appeared first on MedCity News.

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.

The post Better Patient Care and Operational Success: Seven Ways to Benefit From Generative AI in Healthcare appeared first on MedCity News.

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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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.

The post Microsoft’s Healthcare AI Efforts Holds Huge Promise for Patients appeared first on MedCity News.

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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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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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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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.”

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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.

The post Generative AI, RPM Were Among the Biggest Trends In Health IT Fundraising During Q2 appeared first on MedCity News.

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.

The post How Meditech Plans to Integrate Google’s Generative AI Into Its EHR appeared first on MedCity News.

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.

The post How Will Generative AI Change the Role of Clinicians In the Next 10 Years? appeared first on MedCity News.

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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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.

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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 post Fine-Tuning, Prompt Engineering are Keys to Delivering Real Generative AI Solutions to Commercial Pharma Operations Today appeared first on MedCity News.

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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