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@ShahidNShah
5 Pitfalls to Avoid when Using GenAI for Patient Engagement
Generative AI has demonstrated potential for enhancing digital patient engagement, but like all technological innovations, there are also pitfalls healthcare professionals will want to avoid to ensure maximum benefits.Currently, GenAI is proving useful in automating low-level patient-provider communication. Chatbots, online symptom checkers, call center automation and patient portal add-ons are making it easier for patients to connect with the health system without necessarily requiring provider time. This is key as both patient activation and clinician burnout rise.But digital transformation is hardly ever easy.Risks for medical misinformation, algorithmic bias, poor transparency and engagement from clinicians and the potential to deepen an existing digital divide loom large. As healthcare professionals consider deploying GenAI for patient engagement, they must also understand the potential pitfalls of the technologies.
Medigy Insights
A patient querying a GenAI chatbot might not get accurate health information depending on the data used to train the bot. At best, this means patients might get outdated information; at worst, it could mean they get medical misinformation.Perhaps one of AI's biggest challenges is algorithmic bias. It is no secret that nearly all AI contains algorithmic bias. Deploying AI for patient engagement, including patient information-seeking and even risk-stratifying populations for various interventions, could perpetuate those biases.
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