Literature DB >> 22238048

Anesthesia information management systems: past, present, and future of anesthesia records.

Bassam Kadry1, William W Feaster, Alex Macario, Jesse M Ehrenfeld.   

Abstract

Documenting a patient's anesthetic in the medical record is quite different from summarizing an office visit, writing a surgical procedure note, or recording other clinical encounters. Some of the biggest differences are the frequent sampling of physiologic data, volume of data, and diversity of data collected. The goal of the anesthesia record is to accurately and comprehensively capture a patient's anesthetic experience in a succinct format. Having ready access to physiologic trends is essential to allowing anesthesiologists to make proper diagnoses and treatment decisions. Although the value provided by anesthesia information management systems and their functions may be different than other electronic health records, the real benefits of an anesthesia information management system depend on having it fully integrated with the other health information technologies. An anesthesia information management system is built around the electronic anesthesia record and incorporates anesthesia-relevant data pulled from disparate systems such as laboratory, billing, imaging, communication, pharmacy, and scheduling. The ability of an anesthesia information management system to collect data automatically enables anesthesiologists to reliably create an accurate record at all times, regardless of other concurrent demands. These systems also have the potential to convert large volumes of data into actionable information for outcomes research and quality-improvement initiatives. Developing a system to validate the data is crucial in conducting outcomes research using large datasets. Technology innovations outside of healthcare, such as multitouch interfaces, near-instant software response times, powerful but simple search capabilities, and intuitive designs, have raised the bar for users' expectations of health information technology.
© 2012 Mount Sinai School of Medicine.

Entities:  

Mesh:

Year:  2012        PMID: 22238048     DOI: 10.1002/msj.21281

Source DB:  PubMed          Journal:  Mt Sinai J Med        ISSN: 0027-2507


  15 in total

1.  Are anesthesia start and end times randomly distributed? The influence of electronic records.

Authors:  Litisha G Deal; Michael E Nyland; Nikolaus Gravenstein; Patrick Tighe
Journal:  J Clin Anesth       Date:  2014-05-20       Impact factor: 9.452

2.  Innovation & market consolidation among electronic health record vendors: an acute need for regulation.

Authors:  J Wanderer; P Mishra; J Ehrenfeld
Journal:  J Med Syst       Date:  2014-01       Impact factor: 4.460

3.  Medical Informatics and Opportunity for Anesthesiologists.

Authors:  Ren-Yu Liu; Meghan Lane-Fall; C William Hanson; Joshua Atkins; Jia-Bin Liu; Lee Fleisher
Journal:  Ma Zui Yu Jian Hu Lun Tan       Date:  2013-09-20

Review 4.  A systematic review of near real-time and point-of-care clinical decision support in anesthesia information management systems.

Authors:  Allan F Simpao; Jonathan M Tan; Arul M Lingappan; Jorge A Gálvez; Sherry E Morgan; Michael A Krall
Journal:  J Clin Monit Comput       Date:  2016-08-16       Impact factor: 2.502

5.  Comparison of minute distribution frequency for anesthesia start and end times from an anesthesia information management system and paper records.

Authors:  Michael Phelps; Asad Latif; Robert Thomsen; Martin Slodzinski; Rahul Raghavan; Sharon Leigh Paul; Jerry Stonemetz
Journal:  J Clin Monit Comput       Date:  2016-06-07       Impact factor: 2.502

6.  A Web-Based Perioperative Dashboard as a Platform for Anesthesia Informatics Innovation.

Authors:  Thomas T Joseph; David B Wax; Raymond Goldstein; Jia Huang; Patrick J McCormick; Matthew A Levin
Journal:  Anesth Analg       Date:  2020-11       Impact factor: 5.108

7.  Peri-Operative Anaesthetic Documentation: A Report of Three Sequential Audits on the Quality of Outcomes, with an Insight Into Surrounding Legal Issues.

Authors:  William Brett Curtis; Rajesh Sethi; Thavarajah Visvanathan; Swati Sethi
Journal:  Turk J Anaesthesiol Reanim       Date:  2018-09-04

Review 8.  Technological advances in perioperative monitoring: Current concepts and clinical perspectives.

Authors:  Geetanjali Chilkoti; Rachna Wadhwa; Ashok Kumar Saxena
Journal:  J Anaesthesiol Clin Pharmacol       Date:  2015 Jan-Mar

9.  Converting data into information and knowledge: The promise and the reality of electronic medical records.

Authors:  Karl A Poterack; Harish Ramakrishna
Journal:  Ann Card Anaesth       Date:  2015 Jul-Sep

10.  Evaluation of the clinical process in a critical care information system using the Lean method: a case study.

Authors:  Maryati Mohd Yusof; Soudabeh Khodambashi; Ariffin Marzuki Mokhtar
Journal:  BMC Med Inform Decis Mak       Date:  2012-12-21       Impact factor: 2.796

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.