Literature DB >> 29887235

Laboratory testing in primary care: A systematic review of health IT impacts.

Éric Maillet1, Guy Paré2, Leanne M Currie3, Louis Raymond4, Ana Ortiz de Guinea5, Marie-Claude Trudel6, Josianne Marsan7.   

Abstract

INTRODUCTION: Laboratory testing in primary care is a fundamental process that supports patient management and care. Any breakdown in the process may alter clinical information gathering and decision-making activities and can lead to medical errors and potential adverse outcomes for patients. Various information technologies are being used in primary care with the goal to support the process, maximize patient benefits and reduce medical errors. However, the overall impact of health information technologies on laboratory testing processes has not been evaluated.
OBJECTIVES: To synthesize the positive and negative impacts resulting from the use of health information technology in each phase of the laboratory 'total testing process' in primary care.
METHODS: We conducted a systematic review. Databases including Medline, PubMed, CINAHL, Web of Science and Google Scholar were searched. Studies eligible for inclusion reported empirical data on: 1) the use of a specific IT system, 2) the impacts of the systems to support the laboratory testing process, and were conducted in 3) primary care settings (including ambulatory care and primary care offices). Our final sample consisted of 22 empirical studies which were mapped to a framework that outlines the phases of the laboratory total testing process, focusing on phases where medical errors may occur.
RESULTS: Health information technology systems support several phases of the laboratory testing process, from ordering the test to following-up with patients. This is a growing field of research with most studies focusing on the use of information technology during the final phases of the laboratory total testing process. The findings were largely positive. Positive impacts included easier access to test results by primary care providers, reduced turnaround times, and increased prescribed tests based on best practice guidelines. Negative impacts were reported in several studies: paper-based processes employed in parallel to the electronic process increased the potential for medical errors due to clinicians' cognitive overload; systems deemed not reliable or user-friendly hampered clinicians' performance; and organizational issues arose when results tracking relied on the prescribers' memory. DISCUSSION: The potential of health information technology lies not only in the exchange of health information, but also in knowledge sharing among clinicians. This review has underscored the important role played by cognitive factors, which are critical in the clinician's decision-making, the selection of the most appropriate tests, correct interpretation of the results and efficient interventions.
CONCLUSIONS: By providing the right information, at the right time to the right clinician, many IT solutions adequately support the laboratory testing process and help primary care clinicians make better decisions. However, several technological and organizational barriers require more attention to fully support the highly fragmented and error-prone process of laboratory testing.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clinical decision-making; Information technology; Laboratory; Medical errors; Primary care; Total testing process

Mesh:

Year:  2018        PMID: 29887235     DOI: 10.1016/j.ijmedinf.2018.05.009

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  5 in total

1.  Educational intervention to optimise serum immunoglobulin test use in Irish primary care: an interrupted time series with segmented regression analysis.

Authors:  Sharon L Cadogan; John P Browne; Colin P Bradley; Anthony P Fitzgerald; Mary R Cahill
Journal:  Br J Gen Pract       Date:  2020-01-30       Impact factor: 5.386

2.  Economic Aspects of Delivering Primary Care Services: An Evidence Synthesis to Inform Policy and Research Priorities.

Authors:  Lorcan Clarke; Michael Anderson; Rob Anderson; Morten Bonde Klausen; Rebecca Forman; Jenna Kerns; Adrian Rabe; Søren Rud Kristensen; Pavlos Theodorakis; Jose Valderas; Hans Kluge; Elias Mossialos
Journal:  Milbank Q       Date:  2021-09-02       Impact factor: 4.911

3.  Laboratory test ordering in inpatient hospitals: a systematic review on the effects and features of clinical decision support systems.

Authors:  Sahar Zare; Zahra Meidani; Mohammad Shirdeli; Ehsan Nabovati
Journal:  BMC Med Inform Decis Mak       Date:  2021-01-18       Impact factor: 2.796

4.  Deep into Laboratory: An Artificial Intelligence Approach to Recommend Laboratory Tests.

Authors:  Md Mohaimenul Islam; Tahmina Nasrin Poly; Hsuan-Chia Yang; Yu-Chuan Jack Li
Journal:  Diagnostics (Basel)       Date:  2021-05-29

5.  Clinical decision support improves the appropriateness of laboratory test ordering in primary care without increasing diagnostic error: the ELMO cluster randomized trial.

Authors:  Nicolas Delvaux; Veerle Piessens; Tine De Burghgraeve; Pavlos Mamouris; Bert Vaes; Robert Vander Stichele; Hanne Cloetens; Josse Thomas; Dirk Ramaekers; An De Sutter; Bert Aertgeerts
Journal:  Implement Sci       Date:  2020-11-04       Impact factor: 7.327

  5 in total

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