Dr.Maheshwari, Director, Center for Perioperative Intelligence, shared his work on integrating data intelligently into real time decision making to change perioperative outcomes thereby creating value.
He highlighted management of important variables such as blood pressure in real time intra-operatively using workflow integrated advanced decision support.Features that have not been considered have the potential to be developed using machine learning and deep learning moving beyond simple models such as measurement of mean arterial pressure or volume status alone.
Some of the references he cited are available below:
Relationship between Intraoperative Hypotension, Defined by Either Reduction from Baseline or Absolute Thresholds, and Acute Kidney and Myocardial Injury after Noncardiac Surgery: A Retrospective Cohort Analysis
http://anesthesiology.pubs.asahq.org/article.aspx?articleid=2579833
Association of Postoperative High-Sensitivity Troponin Levels With Myocardial Injury and 30-Day Mortality Among Patients Undergoing Noncardiac Surgery
Writing Committee for the VISION Study Investigators
https://jamanetwork.com/journals/jama/fullarticle/2620089
The association of hypotension during non-cardiac surgery, before and after skin incision, with postoperative acute kidney injury: a retrospective cohort analysis.
Maheshwari K, Turan A, Mao G, Yang D, Niazi AK, Agarwal D, Sessler DI, Kurz A.
https://onlinelibrary.wiley.com/doi/abs/10.1111/anae.14416
A Randomized Trial of Continuous Noninvasive Blood Pressure Monitoring During Noncardiac Surgery.
Maheshwari K, Khanna S, Bajracharya GR, Makarova N, Riter Q, Raza S, Cywinski JB, Argalious M, Kurz A, Sessler DI.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6072385/
The relationship between ICU hypotension and in-hospital mortality and morbidity in septic patients.
Maheshwari K, Nathanson BH, Munson SH, Khangulov V, Stevens M, Badani H, Khanna AK, Sessler DI.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013508/
