Learning Patterns of Collaboration to Optimize the Management of Care Providers
Description: Project Narrative Health information systems (HIS) facilitate collaborative environments, through which healthcare teams can improve their efficiency and patients can receive more effective treatment. Yet, at the same time, complexity in the interactions of care providers, in combination with the dynamic nature of healthcare, could limit the realization of such benefits if coordination is not appropriately handled (e.g., longer waiting times and replication in diagnostics) and care is not personalized to the patient. In this research, we aim to develop data mining strategies to enable the optimization of care providers management by learn patterns of collaboration through the utilization of HIS; specifically, the goals of this project are to 1) model disease-specific treatment communities, 2) learn dependency patterns between care providers, and 3) infer disease-specific coordinate sequence patterns.
Funding type: research
Funder scheme: R00
Start date: 2015-05-01
End date: 2019-04-30
Investigator: YOU CHEN
Institution: VANDERBILT UNIVERSITY MEDICAL CENTER
Funded outputs count: 17
Funder award ID: R00LM011933
OpenAlex ID: G2577458355