The recently released “Philips’ Future Health Index 2024” has found that the majority of healthcare leaders worldwide are turning to Generative AI (GAI) to improve patient care.
A recent report based on the input of thousands of healthcare leaders worldwide has found that the vast majority of them are turning to Generative AI (GAI) technologies to address the significant financial and operational pressures caused by global staff shortages.
The Philips’ Future Health Index 2024 report was based on research among 3,000 healthcare leaders across 14 countries. It found that 85% of healthcare leaders are either investing in or planning to invest in GAI in an effort to streamline processes and reduce delays in patient care.
This heightened focus on GAI comes as nearly two-thirds (66%) of healthcare leaders report heightened burnout, stress, and mental health issues within their workforce, leading to a deterioration in work-life balance and reduced morale.
According to the report, use of AI for clinical decision support is already being utilized for in-hospital patient monitoring by 43% of respondents, with further investments planned over the next three years. Generative AI specifically has caught the attention of healthcare leaders in the past year, since its rapid emergence into the public domain. They recognize the benefits that generative AI could bring to patient care by unlocking new efficiencies and insights from patient data.
“Our research shows that 85% of healthcare leaders across the surveyed countries are already investing (29%) or plan to invest (56%) in generative AI within the next three years,” the report stated.
Finally, like many similar reports, the Phillip’s researchers found that, while there remains widespread excitement about the possibilities of AI in healthcare, there is also a shared recognition that it needs to be implemented in a responsible way to avoid unintended consequences.
Almost 9 in 10 healthcare leaders (87%) are concerned about the possibility of data bias in AI applications widening existing disparities in health outcomes. To address this risk, healthcare leaders say it is important to make AI more transparent and interpretable for healthcare professionals and offer continuous training and education in AI.
To amass the report, Philips, the Amsterdam-based health-tech giant commissioned the market research firm GemSeek to survey and interview a worldwide sampling of healthcare leaders. The researchers drew responses from around 200 participants each in Australia, Brazil, China, India, Indonesia, Italy, Japan, the Netherlands, Poland, Saudi Arabia, Singapore, South Africa, the United Kingdom and the United States.
You can read the entire report by following this link.
How BigRio Helps Bring LLM and Advanced AI Solutions to Healthcare
We share the researchers’ conclusions of the transformative impact GAI and LLMs can have on healthcare. We also share their concerns about the inaccuracies that can sometimes be generated by commercial software like GPT-4.
Much like the findings in the Phillip’s paper, a recent report produced by the AMA pointed out many challenges remain before the medical industry can embrace GAI on a major scale. Most of the concerns the AMA identified are a problem when healthcare organizations and clinicians turn to “commercial off the shelf” GAI solutions such as those created by big tech companies like Google, Microsoft, or OpenAI.
But what if you could surmount privacy, bias, and other challenges by building a GAI-LLM model for your healthcare organization’s unique targets and needs? You can, with BigRio’s Help!
BigRio has long been a facilitator and incubator in leveraging AI to improve healthcare delivery, originally in the field of diagnostics and research. We have recently been focusing our efforts on supporting startups and developing our own solutions that use LLMs and GAI to improve those areas of healthcare as well as in direct patient interactions, customer relationship management, EMR integration and so much more.
We are proud to have recently launched our proprietary LLM-driven tool, Odyssey Accelerator. It is a first-of-its-kind solution that enables businesses and organizations who want to use GAI to transform the way they search or query enterprise data, design workflows, derive enterprise analytics, report generation, dashboards, and more, to build a proof of concept before scaling it enterprise-wide.
Leading healthcare IT innovator Vivid Health partnered with BigRio to use Odyssey Accelerator to develop an LLM-driven end-to-end solution, that today can assess a patient’s status on any combination of more than 100 chronic conditions across sixteen specialties, generating personalized care plans at scale in under 30 seconds. That’s over 75 million possible care plan combinations in a fraction of the time it typically takes to pull together individualized plans.
You can read much more about how AI is redefining healthcare delivery and drug discovery in my new book Quantum Care: A Deep Dive into AI for Health Delivery and Research. It’s a comprehensive look at how AI and machine learning are being used to improve healthcare delivery at every touchpoint.
