CHICAGO--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC), a leading medical technology, pharmaceutical diagnostics, and digital solutions innovator, today released Reimagining Better Health, a qualitative and quantitative study that amplifies the perspectives and needs of people at the center of healthcare —patients and clinicians. The study aims to help inform a path forward as stressors such as burnout, workforce attrition and patient backlogs test the resiliency of health systems. Participants were asked to answer questions pertaining to the healthcare system as a whole based on their personal experiences and observations.
The results reveal many of the developments that are propelling the system forward are also a source of challenges that patients and clinicians experience. Specifically, the study found distrust in AI, low technological interoperability across the healthcare system, workforce burnout, fragmented care collaboration and accessibility to care are some of the pain points today.
“Progress can also bring with it tension. In a specialized field like healthcare, resolving that tension is complex and it starts by listening to those who are at the center of care,” said GE HealthCare President and CEO Peter Arduini. “Reimagining Better Health is a bold reminder of the barriers to overcome, and a call to action to all stakeholders in healthcare to innovate and problem solve with a focus on the needs of patients and clinicians. Together, we can transform these insights into action to build a bridge to the future state– a more human and flexible healthcare system.”
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Recognition of the Promise of Artificial Intelligence (AI) Coupled with Low Trust
Today, AI technologies in healthcare are designed to improve patient experience and outcomes, automate tasks, and enhance productivity. While a majority of clinicians surveyed believe AI can support clinical decision making (61 percent), enables faster health interventions (54 percent) and helps to improve operational efficiency (55 percent), the study shows distrust and skepticism around AI in medical settings– without reference to specific products– is prevalent among all stakeholders.
Only 42 percent of clinicians overall indicate AI data can be trusted. In the U.S. this number dips to 26 percent. Clinicians with more than 16 years of experience are even more skeptical of AI, with only 33 percent trusting the quality of AI data.
Additionally, clinicians believe that while AI can help to reduce care disparities (54 percent), the technology is also subject to built-in biases (44 percent).
