Artificial intelligence (AI) adoption in healthcare lags behind other sectors like finance and retail, generally paralleling the overall use of information technology.

Challenges to using AI include the complexity of healthcare data, integration into clinical workflows, and the industry's focus on short-term financial goals. There are three key areas where AI can impact healthcare.

Small Benefit vs. Cost Data Collection

As a young disease-chasing EIS officer at the CDC, my managers instructed me to weigh the benefit of data collection versus its cost. When collecting patient survey information during a disease outbreak, I kept my questionnaires to a single page, knowing that anything longer would lead to fewer responses. Keeping questionnaires short is a classic example demonstrating how less is more.

Generative AI EHR Search Offered by Google

The EHR provides physicians with voluminous patient data filled with redundant and sometimes incorrect information. Clinicians spend unreasonable amounts of time combing through the data to discover the relevant information required to direct care. Google's generative AI search claims to allow physicians to ask the EHR straightforward questions and obtain actionable, specific, and quickly returned answers.

Do You Own the AI Model of Yourself?

Due to the rapid advancement of AI, the creation of an AI chat version of each of us will become a reality. But who owns the IP, and how can it be protected? The bipartisan “No Fakes Act” of 2023 takes steps to set rules to protect our digital replicas.

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