Life Science Report
AI in Healthcare
Seizing the opportunities for prevention, diagnosis and treatment
1.5 minutes read
Published 01/14/2025
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Key Insights:
- Improved Mortality & Morbidity: AI will drive improvements in mortality and morbidity for many medical conditions through better prevention, earlier diagnoses, and individualized therapies. This will expand insurability.
- Disease Prevention: Major progress in disease prevention is anticipated, offering opportunities for insurers to enrich insured-lives portfolios and innovate product offerings.
- Underwriting & Risk Selection: The analysis of vast datasets from electronic health records (EHRs), imaging, and other biomedical sources will provide a rich resource for risk selection, enabling more accurate and sophisticated underwriting.
- Critical Illness: Critical illness products will need constant updating as earlier diagnosis and new disease classifications emerge. Antiselection may become problematic, as may overdiagnosis.
- Complex Claims Management: As disease understanding shifts towards genetic and molecular diagnoses, claims management will become more complex. Insurers will need cutting-edge medical expertise for claims analysis and dispute resolution.
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