Readmission analytics is the integrative use of policy, process and information to improve decisions related to patient outcomes.
Our vision is to use various analytic approaches to identify opportunities for improving the agility and efficiency with which quality patient care can be delivered in today's constantly evolving health care landscape.
Our goal is to take a strategic view of delivering patient care that is long-term focused.
Several environmental factors (social, demographic, economic, behavioral, ethnic, etc.) contribute to patient admission and/or readmission to a hospital. The delivery care processes both inside and outside the hospital influence the continuity of care available to a patient, and clinical decisions physicians make impact the care a patient receives. The interplay of factors influencing both clinical and social diagnosis (the environment a patient comes from pre-admission and goes into post-discharge) has to be understood if continuity of quality care is to be long-term focused. The Readmission Analytics approach uses
Case studies, prior and on-going research and in-depth interviews to understand the critical care-delivery paths and decisions hospital staff and patients/family make that impact patient care over a longer time horizon, and
Knowledge discovery and innovative implementation strategies to support quality care using rigorous research methodologies (data capture, analysis, evaluation, etc.)
Other topics related to readmission analytics.
Information about partners involved in readmission analytics.