This white paper by the World Economic Forum, written in collaboration with ZS, highlights the most promising use cases for patient-facing generative AI solutions, their biggest barriers to adoption and actions stakeholders in healthcare and beyond can take to overcome these barriers. The paper also offers six short case studies illustrating how companies and institutions are already making these use cases a reality.

Between a global shortage of healthcare providers and changing consumer expectations, health systems worldwide are struggling to provide the level and quality of care their populations require. Generative AI can help bridge the gap by engaging patients at various points along their health journeys.

Mistrust, holes in the data foundation and challenges to scaling generative AI tools into low- and middle-income countries remain the biggest barriers to adoption and impact, but the white paper presents a series of correctives: building trust through continuous model finetuning, mitigating bias through better data, maintaining human participation in models’ use with patients and more.