Healthcare consumers are more informed and empowered, demanding treatments that are convenient, personalized, and precise. Artificial intelligence (AI), with its capabilities in data processing, analysis, and decision-making, offers customized treatment plans, improved care, and better health outcomes.

Despite the benefits, only 25 percent of healthcare organizations have implemented AI, as revealed by the 32nd Barometer survey. This underscores the challenges that healthcare leaders face in adopting AI technologies, including data quality, algorithmic bias, and skills deficits, all while maintaining patient-centered strategies.

Integrating AI into healthcare workflows is complex. Many staff are uncertain about how to best use these tools, and a lack of clear guidelines can lead to inconsistent application. Automation also brings concerns about job displacement, emphasizing the need for staff reskilling. For AI to be successfully adopted in healthcare, clear policies, comprehensive training, and open communication are vital. Healthcare employees must be guided on responsible AI use to ensure capability uplift, patient trust and regulatory compliance in this rapidly evolving environment.