The organizational and clinical impact of integrating bedside equipment to an information system: a systematic literature review of patient data management systems (PDMS)

Int J Med Inform. 2015 Mar;84(3):155-65. doi: 10.1016/j.ijmedinf.2014.12.002. Epub 2015 Jan 3.

Abstract

Objective: The introduction of an information system integrated to bedside equipment requires significant financial and resource investment; therefore understanding the potential impact is beneficial for decision-makers. However, no systematic literature reviews (SLRs) focus on this topic. This SLR aims to gather evidence on the impact of the aforementioned system, also known as a patient data management system (PDMS) on both organizational and clinical outcomes.

Materials and methods: A literature search was performed using the databases Medline/PubMed and CINHAL for English articles published between January 2000 and December 2012. A quality assessment was performed on articles deemed relevant for the SLR.

Results: Eighteen articles were included in the SLR. Sixteen articles investigated the impact of a PDMS on the organizational outcomes, comprising descriptive, quantitative and qualitative studies. A PDMS was found to reduce the charting time, increase the time spent on direct patient care and reduce the occurrence of errors. Only two articles investigated the clinical impact of a PDMS. Both reported an improvement in clinical outcomes when a PDMS was integrated with a clinical decision support system (CDSS).

Conclusions: A PDMS has shown to offer many advantages in both the efficiency and the quality of care delivered to the patient. In addition, a PDMS integrated to a CDSS may improve clinical outcomes, although further studies are required for validation.

Keywords: Bedside equipment; Clinical decision support systems (CDSS); Computer information system (CIS); Intensive care; Patient data management system (PDMS).

Publication types

  • Review
  • Systematic Review

MeSH terms

  • Critical Care
  • Decision Support Systems, Clinical* / statistics & numerical data
  • Efficiency, Organizational
  • Health Care Rationing
  • Health Information Exchange*
  • Hospitals
  • Humans
  • Medical Errors
  • Point-of-Care Systems* / statistics & numerical data
  • Workflow