Summary of article from Medical Economics, by Ronen Lavi:
The successful implementation of AI in healthcare organizations requires clear objectives, tailored technology, seamless integration with existing systems, effective clinician engagement, and robust analytics. Organizations should define specific, measurable goals to guide AI adoption and select healthcare-specific AI solutions that align with these objectives. Smooth integration with electronic health records (EHRs) and minimal disruption to patient care are crucial. Engaging clinicians through effective communication and training is essential to address skepticism and ensure adoption. Lastly, leveraging analytics to monitor and optimize AI usage can help achieve strategic outcomes and improve key performance indicators.