Measuring the effects of computer downtime on hospital pathology processes

Ying Wang*, Enrico Coiera, Blanca Gallego, Oscar Perez Concha, Mei Sing Ong, Guy Tsafnat, David Roffe, Graham Jones, Farah Magrabi

*Corresponding author for this work

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

Objective: To introduce and evaluate a method that uses electronic medical record (EMR) data to measure the effects of computer system downtime on clinical processes associated with pathology testing and results reporting. Materials and methods: A matched case-control design was used to examine the effects of five downtime events over 11-months, ranging from 5 to 300 min. Four indicator tests representing different laboratory workflows were selected to measure delays and errors: potassium, haemoglobon, troponin and activated partial thromboplastin time. Tests exposed to a downtime were matched to tests during unaffected control periods by test type, time of day and day of week. Measures included clinician read time (CRT), laboratory turnaround time (LTAT), and rates of missed reads, futile searches, duplicate orders, and missing test results. Results: The effects of downtime varied with the type of IT problem. When clinicians could not logon to a results reporting system for 17-min, the CRT for potassium and haemoglobon tests was five (10.3 vs. 2.0 days) and six times (13.4 vs. 2.1 days) longer than control (p = 0.01-0.04; p = 0.0001-0.003). Clinician follow-up of tests was also delayed by another downtime involving a power outage with a small effect. In contrast, laboratory processing of troponin tests was unaffected by network services and routing problems. Errors including missed reads, futile searches, duplicate orders and missing test results could not be examined because the sample size of affected tests was not sufficient for statistical testing. Conclusion: This study demonstrates the feasibility of using routinely collected EMR data with a matched case-control design to measure the effects of downtime on clinical processes. Even brief system downtimes may impact patient care. The methodology has potential to be applied to other clinical processes with established workflows where tasks are pre-defined such as medications management.

Original languageEnglish
Pages (from-to)308-315
Number of pages8
JournalJournal of Biomedical Informatics
Volume59
DOIs
Publication statusPublished - 1 Feb 2016

Keywords

  • health information technology
  • equipment failure
  • patient safety
  • hospitals
  • routine diagnostic tests
  • inpatients
  • matched case-control study

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