Literature DB >> 11369352

The essential role of information management in point-of-care/critical care testing.

K E Blick1.   

Abstract

Laboratory medicine is undergoing tremendous change in recent years driven primarily by technology, regulations, reimbursement, and market forces. In this paradigm shift, the laboratory is under tremendous pressure to adapt to new requirements for critical care testing. Indeed, laboratories have entered the information age where chemical data is being extracted from specimens in totally automated fashion. In the past, laboratory data has played a more historical role in the care of critically ill patients, arriving at the bedside too late to be of significant use in the active, ongoing care of the patient. However, today's physicians taking care of critically ill patients now require that laboratory results are made available in real-time and, if possible, at the patient's point-of-care. Many new testing point-of-care testing (POCT) devices have been developed to address this need however often laboratories implement such distributed devices with little or no attention to the information technology requirements. In fact, as little as 10% of point-of-care testing is actually managed by the central laboratory computer hence critically importance results are not found on the patient's electronic medical record. In addition, the billing and management data for point-of-care testing is often handled manually with no plans to interface point-of-care devices to the laboratory billing and management systems. Because of recent improvements of information handling and interface capability, such shortcomings in data management are no longer acceptable. Indeed, the demands for laboratories to utilize information technology are such that those laboratories with no overall plan for data management of critical care testing will probably not survive this market-driven paradigm. We present a discussion of the various approaches to computerization of point-of-care testing including the advantages and the disadvantages of each approach.

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Year:  2001        PMID: 11369352     DOI: 10.1016/s0009-8981(01)00460-0

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  3 in total

1.  The Vermont Diabetes Information System (VDIS): study design and subject recruitment for a cluster randomized trial of a decision support system in a regional sample of primary care practices.

Authors:  Charles D MacLean; Benjamin Littenberg; Michael Gagnon; Mimi Reardon; Paul D Turner; Cy Jordan
Journal:  Clin Trials       Date:  2004       Impact factor: 2.486

Review 2.  Point-of-care blood glucose testing for diabetes care in hospitalized patients: an evidence-based review.

Authors:  Rajesh Rajendran; Gerry Rayman
Journal:  J Diabetes Sci Technol       Date:  2014-06-05

3.  Design and Realization of Integrated Management System for Data Interoperability between Point-of-Care Testing Equipment and Hospital Information System.

Authors:  Ki Sang Park; Hyuk Heo; Young Keun Choi
Journal:  Healthc Inform Res       Date:  2013-09-30
  3 in total

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