The Cipher HPI study focuses on continuous, iterative, perioperative, holistic risk evaluation using advanced hemodynamic monitoring data. The study, integrates preoperative and intraoperative data to predict the need for vasopressors or fluid after surgery. We discuss the study's methodology, results, and the potential implications for clinical practice, including the use of machine learning techniques for better risk prediction and resource optimization in critical care settings. The episode emphasizes the importance of utilizing rich patient data throughout the surgical journey to enhance outcomes and support clinician decision-making.

Presented by Mike Grocott and Kate Leslie on location at the International Anesthesia Research Society (IARS) and Society of Critical Care Anesthesiologists meeting in Honolulu, Hawaii, with their guest, Alexander (Sandy) Jackson an anaesthetist and intensive care physician who is also a clinican data scientist, currently funded by the UK's National Insitute of Health and Care Research (NIHR), based at the NIHR Southampton Biomedical Research Centre.

We mention Guy Ludbrook, Professor of Anaesthesia at the University of Adelaide and Royal Adelaide Hospital, and an occasional presenter here on TopMedTalk. This thought provoking talk from him is a good place to learn more: https://topmedtalk.libsyn.com/the-hidden-pandemic-of-post-operative-complications-ebpom-london-2020-0