Data-driven decision-support tools for better health care delivery and policy-making with a focus on cancer
Project Proposal
Seeking to join consortium for: Data-driven decision-support tools for better health care delivery and policy-making with a focus on cancer.
Can act as:
Seeking expertise:
Offering expertise in (a) Designing artificial intelligence (AI) algorithms in support of health care decision-making tools; (b) Building and analysing stochastic optimisation models that will provide operational tools to balance between quality-of-care, cost effectiveness, and access to care.
Combining these two tools we can support the goal of providing evidence-based participative decision-making tools that take into consideration all relevant values, needs and perspectives, enabling to deliver health care services to patients in the most suitable and efficient manner. We worked with health data of several hospitals in Israel and the US, specifically on cancer patients data. We looked into problems of predicting haematology infection and mortality risks in Rambam medical center (IL), optimising haematology patient hospitalisation length after chemotherapy treatment, analysing outpatient clinics operations in Dana Farber (US), optimising cancer screening center operations in Ichilov Medical Center (IL). More information is available at: https://gality.net.technion.ac... and https://seelab.net.technion.ac....