Applications Of AI In Health And Life Sciences
A Forrester Opportunity Snapshot commissioned by Salesforce in February 2024 reveals that senior health and life sciences (HLS) leaders are overwhelmingly bullish on AI, with 86% believing that effectively leveraging technology, data, and AI will define organizational success over the next five years. While investment is growing — with more than half of respondents planning to increase AI spending — most HLS companies remain in the early stages of adoption, facing significant barriers including inadequate data quality, ethical and privacy concerns, and a lack of internal skills and expertise. Respondents anticipate AI will deliver transformational value across both patient-facing and back-office operations, with 82% expecting greater efficiency, 79% improved patient communications and experiences, and 75% better patient outcomes. To navigate these challenges successfully, 81% of surveyed leaders are already working with a technology partner, and selecting a vendor with deep AI expertise, strong security, and seamless workflow integration is identified as essential to long-term success.
In this guide, you'll explore
- 86% of HLS senior leaders believe effectively leveraging technology, data, and AI will define success over the next five years, yet most organizations are still in the early stages of AI adoption.
- Over half of respondents plan to increase AI investment, and 81% are already working with a technology partner as part of their AI strategy.
- The top barriers to AI adoption are inadequate data quality (64%), ethical and privacy concerns (61%), and lack of internal skills and expertise (57%).
- 82% of respondents believe AI will make their organizations more efficient, while 79% expect it to improve patient and member communications and experiences.
- The most important criteria for selecting an AI technology partner are AI expertise (78%), workflow integration (76%), strong security (75%), and advanced data analytics capabilities (75%).