Literature DB >> 19390248

Can anesthesia information management systems improve quality in the surgical suite?

Jaume Balust1, Alex Macario.   

Abstract

PURPOSE OF REVIEW: To summarize developments related to the use of anesthesia information management systems (AIMS) and quality assurance and quality improvement. RECENT
FINDINGS: A real challenge for AIMS is that the technology is too often seen as a solution. The reality is that the technology is simply a tool, which is increasingly being installed by hospitals to give anesthesiologists better capabilities for managing quality assurance programs, developing guidelines, facilitating computerized decision support, and standardizing care in the surgical suite so that every patient receives optimal care. Anesthesia groups will likely have to assign a dedicated biomedical team and programmer to fully realize the clinical and business benefits of AIMS.
SUMMARY: Implementation of information technologies in anesthesia as well as in all aspects of healthcare redesigns how patients receive care. AIMS accurately measure, store, query, and recall vital sign data, and enable the systematic analysis of anesthesia-related perioperative data. Using AIMS, quality management programs will be able to study more incidents and analyze them more quickly. Ideally, decision-support systems with practice guidelines delivered via AIMS should help overcome the usual barriers to guideline adherence, and improve care and safety.

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Mesh:

Year:  2009        PMID: 19390248     DOI: 10.1097/ACO.0b013e328324b9e6

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


  5 in total

1.  A case of malignant hyperthermia captured by an anesthesia information management system.

Authors:  Michael D Maile; Rajesh A Patel; James M Blum; Kevin K Tremper
Journal:  J Clin Monit Comput       Date:  2011-06-03       Impact factor: 2.502

2.  Two open access, high-quality datasets from anesthetic records.

Authors:  David Cumin; Vanessa Newton-Wade; Michael J Harrison; Alan F Merry
Journal:  J Am Med Inform Assoc       Date:  2012-08-04       Impact factor: 4.497

Review 3.  Using real-time clinical decision support to improve performance on perioperative quality and process measures.

Authors:  Anthony Chau; Jesse M Ehrenfeld
Journal:  Anesthesiol Clin       Date:  2011-03

Review 4.  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

5.  Amalgamation of management information system into anaesthesiology practice: A boon for the modern anaesthesiologists.

Authors:  Sukhminder Jit Singh Bajwa
Journal:  Indian J Anaesth       Date:  2014-03
  5 in total

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