Amazon Web Services (AWS) has formed an artificial intelligence (AI)-centric healthcare partnership with General catalyst.
AWS says that collaboration, announcement Monday (January 13), combines its technology expertise with General Catalyst’s history of healthcare investments.
“AWS and General Catalyst believe that AI has immense potential to [effect] significant change in global healthcare,” AWS CEO Matt Garman said in a press release. “Together, we are taking bold steps to improve patient outcomes and make quality care more accessible to everyone by integrating AI throughout the care journey. »
According to the release, the partnership will focus on creating and deploying AI-based solutions to address critical needs for predictive and personalized care, interoperability, operational and clinical efficiency, diagnostics and patient engagement.
The potential here is “vast,” said the companies, who plan to harness the power of generative AI using Amazonian base and team up with suppliers like Anthropic And Mistral AI as well as safely trained healthcare-specific models.
“One example is the ability to provide more personalized healthcare using disease-specific models that process diverse health data, such as radiology and pathology exams, genomic sequencing information, clinical trial data and electronic health records, to help doctors and researchers identify patterns and diagnose, make predictions about treatment outcomes, offer insights into disease progression, and much more,” the release said.
Writing on Monday about the intersection between generative AI (GenAI) and healthcare, Karen Webster, CEO of PYMNTS, posited a world in which “your doctor knows you get sick before you do” and healthcare is more of a “proactive partnership” than a thing to do. worry.
“GenAI has the potential to change the conversation — and the time and money spent — from how much it costs to care for people when they get sick to preventing illness before it even starts,” Webster wrote. “This will make the future of healthcare using GenAI to better understand and prevent disease.” Patient interactions will be patient-first and driven by smart technology.
The economic data, this report adds, is “compelling,” as U.S. health care costs – which amounted to nearly $5 trillion in 2023 – are expected to reach $7.7 trillion by 2032. Many consumers, particularly younger ones, say they skipping or delaying medical care because they can’t afford it.
“It’s not only expensive, it’s unsustainable,” Webster wrote.
“By using smart monitoring devices and personalized health information, it is possible to significantly reduce the cost of chronic disease management. Medications can be prescribed remotelyadministered and monitored appropriately, thereby avoiding a large-scale, costly and potentially physically debilitating medical crisis.
