Bridging the Gap Between Medicine and Insurance: How to Leverage Data, Artificial Intelligence, and Neuroinformatics for Insurance and Financial Risk Management

Anitha Rao (), Mark Wiendling (), Paul Ridgeway (), Liz Kennedy (), Harris A. Eyre () and Paulo Pinho ()
Additional contact information
Anitha Rao: Neurocern, https://www.neurocern.com/
Mark Wiendling: Neurocern, https://www.neurocern.com/
Paul Ridgeway: Neurocern, https://www.neurocern.com/
Liz Kennedy: Neurocern, https://www.neurocern.com/
Harris A. Eyre: PRODEO, https://www.prodeo.institute/
Paulo Pinho: Diameter Health, https://www.diameterhealth.com/

Journal of Financial Transformation, 2021, vol. 54, 142-147

Abstract: As the global population ages, neurological diseases such as Alzheimer’s disease, stroke, and epilepsy will represent a top data attribute in disability and mortality predictive modeling. Clinical shortages of geriatric specialists globally have led to missed diagnoses and delays in care leading to untoward clinical and financial outcomes. Research has demonstrated a clear trickle-down impact in underwriting, latent mortality risk, and reserving for the aging population. Advances in technology and artificial intelligence have given rise to innovative analytical modeling that have bene ted both insurance and overall population health. This paper will discuss the application of a neurologically trained artificial intelligence data engine and case studies to provide understanding on how AI-enriched data insights can improve the quality, costs, and context of care.

Keywords: insurance; risk management; artificial intelligence; neuroinformatics; underwriting; aging; predictive analytics (search for similar items in EconPapers)
JEL-codes: C53 C55 I13 L86 (search for similar items in EconPapers)
Date: 2021
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