Literature DB >> 30817384

Telemedicine in the ICU: clinical outcomes, economic aspects, and trainee education.

Christian D Becker1,2,3, Mario V Fusaro1,2,3, Corey Scurlock1,4,4.   

Abstract

PURPOSE OF REVIEW: The evidence base for telemedicine in the ICU (tele-ICU) is rapidly expanding. The last 2 years have seen important additions to our understanding of when, where, and how telemedicine in the ICU adds value. RECENT
FINDINGS: Recent publications and a recent meta-analysis confirm that tele-ICU improves core clinical outcomes for ICU patients. Recent evidence further demonstrates that comprehensive tele-ICU programs have the potential to quickly recuperate their implementation and operational costs and significantly increase case volumes and direct contribution margins particularly if additional logistics and care standardization functions are embedded to optimize ICU bed utilization and reduce complications. Even though the adoption of tele-ICU is increasing and the vast majority of today's medical graduates will regularly use some form of telemedicine and/or tele-ICU, telemedicine modules have not consistently found their way into educational curricula yet. Tele-ICU can be used very effectively to standardize supervision of medical trainees in bedside procedures or point-of-care ultrasound exams, especially during off-hours. Lastly, tele-ICUs routinely generate rich operational data, as well as risk-adjusted acuity and outcome data across the spectrum of critically ill patients, which can be utilized to support important clinical research and quality improvement projects.
SUMMARY: The value of tele-ICU to improve patient outcomes, optimize ICU bed utilization, increase financial performance and enhance educational opportunities for the next generation of providers has become more evident and differentiated in the last 2 years.

Entities:  

Mesh:

Year:  2019        PMID: 30817384     DOI: 10.1097/ACO.0000000000000704

Source DB:  PubMed          Journal:  Curr Opin Anaesthesiol        ISSN: 0952-7907            Impact factor:   2.706


  8 in total

Review 1.  Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success.

Authors:  Fawaz Al-Mufti; Michael Kim; Vincent Dodson; Tolga Sursal; Christian Bowers; Chad Cole; Corey Scurlock; Christian Becker; Chirag Gandhi; Stephan A Mayer
Journal:  Curr Neurol Neurosci Rep       Date:  2019-11-13       Impact factor: 5.081

2.  E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database.

Authors:  Nima Safaei; Babak Safaei; Seyedhouman Seyedekrami; Mojtaba Talafidaryani; Arezoo Masoud; Shaodong Wang; Qing Li; Mahdi Moqri
Journal:  PLoS One       Date:  2022-05-05       Impact factor: 3.752

3.  Developing the eMedical Student (eMS)-A Pilot Project Integrating Medical Students into the Tele-ICU during the COVID-19 Pandemic and beyond.

Authors:  Joshua Ho; Philip Susser; Cindy Christian; Horace DeLisser; Michael J Scott; Lynn A Pauls; Ann M Huffenberger; C William Hanson; John M Chandler; Lee A Fleisher; Krzysztof Laudanski
Journal:  Healthcare (Basel)       Date:  2021-01-14

4.  Electronic intensive care unit: A perspective amid the COVID-19 era - Need of the day!

Authors:  Karthikeyan P Iyengar; Rakesh Garg; Vijay Kumar Jain; Nipun Malhotra; Pranav Ish
Journal:  Lung India       Date:  2021-03

Review 5.  Telemedicine in Intensive Care Units: Scoping Review.

Authors:  Camille Guinemer; Martin Boeker; Daniel Fürstenau; Akira-Sebastian Poncette; Björn Weiss; Rudolf Mörgeli; Felix Balzer
Journal:  J Med Internet Res       Date:  2021-11-03       Impact factor: 5.428

6.  COVID-19 and telehealth in the intensive care unit setting: a survey.

Authors:  Sarah E Nelson; Jon Steuernagle; Leo Rotello; Paul Nyquist; Jose I Suarez; Wendy Ziai
Journal:  BMC Health Serv Res       Date:  2022-06-20       Impact factor: 2.908

7.  Use of telemedicine to combat the COVID-19 pandemic in Brazil.

Authors:  Carlos Roberto Ribeiro Carvalho; Paula Gobi Scudeller; Guilherme Rabello; Marco Antonio Gutierrez; Fabio Biscegli Jatene
Journal:  Clinics (Sao Paulo)       Date:  2020-08-03       Impact factor: 2.365

8.  [Interdisciplinary COVID board for patients with SARS-CoV-2-triggered hyperferritinemic Inflammation].

Authors:  P La Rosée; H-C Bremer; F La Rosée; P Mohm; A Hochhaus; I Gehrke; B Kumle; A Benzing; S Russo
Journal:  Med Klin Intensivmed Notfmed       Date:  2020-10-28       Impact factor: 0.840

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.