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Professor of Anesthesiology Department of Anesthesiology, Division of Critical Care, Mayo Clinic, Rochester, USA
Electronic medical records and artificial intelligence have facilitated big data research, but challenges remain in developing meaningful machine learning models. This review provides key information on open-access perioperative and intensive care datasets and data management tools. With the adoption of Electronic Medical Records (EMR) and artificial intelligence, big data research has...
READ MOREPhysiological monitoring has a rich 200-year history. In this article, the authors look into the components of an ideal monitoring system and highlight how advancements in modern technology could enable the development of an effective continuous monitoring and response system. The continuous monitoring of patient vital signs is a required standard in acute care and procedural set
READ MOREThe use of Artificial Intelligence in detecting sepsis, AI prediction/detection models and how these healthcare tools need to complement clinical expertise. The potential of Artificial Intelligence (AI) in healthcare has generated significant excitement and discussion. However, it's important to distinguish between the theoretical promise and the current state of evidence-based a
READ MORETimely recognition of sepsis is the foundation of improved patient survival. This article discusses opportunities to improve this in multiple areas and the use of sepsis screening tools to improve surveillance and treatment of sepsis. Sepsis is a critical healthcare problem, associated with high mortality rates, and considerable financial and resource burden. At the end of 2021, new Surviving...
READ MOREAn overview of the large-scale transition to telemedicine at Mayo Clinic during the COVID-19 pandemic and how it happened in a matter of days and represented one of the most rapid transformations of healthcare in history. Impact of the Pandemic on Society The 2019 Coronavirus Disease (COVID-19) pandemic has affected nearly all aspects of society, from family interactions to social activities
READ MOREAn AI-enabled ICU is coming in the not-too-distant future, but it requires strong partnerships between clinicians and engineers. Spoiler alert. The short answer to this question is yes! Artificial Intelligence in Medicine” has been taking place biannually for the past 28 years (Patel et al. 2009). What is new, however, is the cross-industry exponential growth in awareness of,...
READ MOREFuelled by the growth in electronic medical record (EMR) adoption, the recent boom of Big Data analytics in healthcare affords unprecedented opportunities for developing new prediction scores for patients in the intensive care unit (ICU) and beyond. Based on a review of scientific literature reports, however, Big Data science has added no new scores to clinical practice in recent years. In this article,...
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