Despite 70% of Americans wanting to die at home, less than one third do*
Central Health Intelligence (CHI) hopes to change this. Founded by a team of leading physicians and bioinformaticians, CHI is a highly effective AI-driven clinical decision support system to foster goal-concordant care at the end of life.
Our Approach
01
Machine learning
We identify patients at high mortality risk using a patent-pending deep learning algorithm, trained on electronic health records and claims data.
03
Clinical workflows
We implement streamlined workflows that engage providers at the point of care, including hospital, primary care and ICU settings.
02
Quality training
We provide clinicians comprehensive training, taught by national experts, in pragmatic, efficient and effective advanced care planning.
04
Enhanced oversight
We develop easy-to-use dashboards for administrators to monitor key outcomes related to patient care.
The Results
CHI has made dramatic improvements in key metrics across our health system (comprising 8 hospitals and 22 primary care clinics), including a 5-fold increase in advanced care planning notes, from 1.2% in 2021 to 6.8% for all hospitalized patients in 2024 (projected through May 31, 2024), as well as a 63% increase palliative care consults, and a 29% decrease in the Vizient Mortality Index (a ratio comparing the observed to expected mortality).
Our Team
Our Partners
*L. Hamel, B. Wu, and M. Brodie, “Views and Experiences with End-of-Life Medical Care in the US - Findings,” 2017. [Online]. Available: https://www.kff.org/report-section/views-and-experiences-with-end-of-life-medical-care-in-the-us-findings/ ; S. H. Cross and H. J. Warraich, “Changes in the Place of Death in the United States,” New England Journal of Medicine, vol. 381, no. 24, pp. 2369–2370, Dec. 2019, doi: 10.1056/NEJMC1911892/SUPPL_FILE/NEJMC1911892_DISCLOSURES.PDF.