The AI's tremendous potential comes a variety of hurdles that need to be considered to implement AI successfully. In December last year, the Department of Health and Human Services was the first of the federal agencies to release its 2024 AI use case inventory, which reported a roughly 66% increase in uses from the previous year, according to Fedscoop. Used for everything from operation and maintenance to acquisition and development, the numbers increased from 163 use cases in 2023 to 271 in 2024, the piece continued.

While this increase demonstrates how essential it is that we come to understand AI’s potential, it also points out how important it is that we consider how it’s properly implemented into health care practice and the real world. We are at the start of a medical revolution, potentially similar in scale to the discovery of X-rays, says Santiago Romero-Brufau, M.D., Ph.D., Program Director of Implementing Health Care AI into Clinical Practice, and Adjunct Assistant Professor in the Department of Biostatistics at Harvard T. H. Chan School of Public Health.

Over the next few years, AI will become more ingrained in the day-to-day clinical workflows and operations. And it is critical that clinical leaders understand how to assess and plan the implementation of these algorithms and technologies into clinical practice. The power of artificial intelligence and machine learning is unlimited. To avoid this information falling victim to an implementation gap, professionals need the education to properly put these technologies to use. Equipped with the skills to properly implement AI solutions, clinicians and executives can revolutionize the future of patient care.

Source: https://hsph.harvard.edu/exec-ed/news/how-to-consider-implementing-artificial-intelligence-models-and-solutions-in-health-care/