Gen ai quickly turns The health care industry. To understand the evolution of the landscape, McKinsey has studied health leaders since 2023 on their prospects and their approaches to the AI generation (see the sidebar, “research methodology”).
The latest survey, conducted in the fourth quarter of 2024, revealed that 85% of respondents – payers’ healthcare leaders, health systems and health care and technology services (HST) – have explored or have already adopted the capabilities of the GEN AI.
This survey has targeted 150 American Health of Health through sub-sectors and relies on similar samples of 100 leaders from the first and second quarters of 2024 and the fourth quarter of 2023. From the responses, four distinct themes emerged.
Stakeholders in the health care industry are looking for means to create value and reduce costs in the fields, offering many opportunities for the use of General AI. Despite the complexities of the evolution of regulations, risk compliance and internal capacity gaps, the responses of this recent survey suggest that more payers, health systems and HST organizations are progressing to implement use cases through functions. In addition, many health care leaders seek to fill the gaps in their capacities by pursuing partnerships that allow them to bring out external talents while maintaining flexibility and personalization in AI solutions. Partnerships with hyperscalers that have data capabilities could help ensure successful implementation.
The first cases of use of respondents with GEN IA focused on improving administrative efficiency, the realization of infrastructure differences and increasing clinical productivity. As skills ripen, more use cases may become useful, including external commitments with patients or members and the use of quality of service, which could still improve the experiences of patients and members. Managers agree that risk management in the implementation of AI is important, and the consideration of an AI governance approach will be important to advance these efforts in complete safety.
Until now, organizations that have developed their capacities and have appropriately targeted their AI generation efforts have experienced the most success in implementation on a scale. The development of the AI generation remains important to succeed in the health space, and managers can consider how to position their organizations for the future. Successful implementations will require a value -focused strategy, solid delivery capacities and robust organizational management.