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According to a survey of healthcare provider executives in the United States in 2023, ** of respondents stated a lack of technical expertise was a barrier to AI adoption in healthcare. Other barriers cited to prevent AI adoption were regulatory and legal considerations and a lack of clear benefits to the technology.

Implementation and automation progress

Despite the barriers, many healthcare organizations are making strides in AI implementation. In 2024, ** percent of global healthcare leaders reported using AI for clinical decision support in in-hospital patient monitoring. Additionally, over ** percent planned to implement AI for remote patient monitoring within the next three years. Automation has also gained traction, with nearly ** percent of healthcare leaders reporting automated appointment scheduling and over half automating clinical data entry.

Addressing AI adoption barriers

To overcome adoption barriers, healthcare leaders are focusing on transparency and education. A 2024 global survey found that almost half of respondents believed making AI more transparent and interpretable would mitigate data bias risks. Furthermore, ** percent emphasized the importance of continuous AI training and education. However, challenges persist, with nearly ** percent of healthcare leaders reporting that time spent on data integration reduces patient care time, highlighting the need for more efficient AI integration strategies.