Evidence map›Paper›PMID 31291677›Full record

ArticleApplied clinical informatics2019

Continuing Patient Care during Electronic Health Record Downtime.

Ethan Larsen, Daniel Hoffman, Carlos Rivera, Brian M Kleiner, Christian Wernz, Raj M Ratwani

Abstract read
In one paragraph

Article in Applied clinical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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  14. Cyber-resilient Intensive Care Unit: Ransomware is a Patient-safety Crisis-A Resource-stratified Approach for India.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ethan LarsenCenter for Outcomes Research, Houston Methodist Research Institute, Houston, Texas, United States.
Daniel HoffmanNational Center for Human Factors in Healthcare, MedStar Health, Washington, District of Columbia, United States.
Carlos RiveraDepartment of Health Administration, Virginia Commonwealth University, Richmond, Virginia, United States.
Brian M KleinerGrado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States.
Christian WernzDepartment of Health Administration, Virginia Commonwealth University, Richmond, Virginia, United States.
Raj M RatwaniNational Center for Human Factors in Healthcare, MedStar Health, Washington, District of Columbia, United States.

Funding

Evidence-based Contingency Planning for Electronic Health Record DowntimeR21HS024350 · AHRQ · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI WERNZ, CHRISTIAN · 2016 to 2017
$297k
AHRQ HHS R21 HS024350
6 · The paper itself

Abstract

introductionElectronic health record (EHR) downtime is any period during which the EHR system is fully or partially unavailable. These periods are operationally disruptive and pose risks to patients. EHR downtime has not sufficiently been studied in the literature, and most hospitals are not adequately prepared.

objectiveThe objective of this study was to assess the operational implications of downtime with a focus on the clinical laboratory, and to derive recommendations for improved downtime contingency planning.

methodsA hybrid qualitative-quantitative study based on historic performance data and semistructured interviews was performed at two mid-Atlantic hospitals. In the quantitative analysis, paper records from downtime events were analyzed and compared with normal operations. To enrich this quantitative analysis, interviews were conducted with 17 hospital employees, who had experienced several downtime events, including a hospital-wide EHR shutdown.

resultsDuring downtime, laboratory testing results were delayed by an average of 62% compared with normal operation. However, the archival data were incomplete due to inconsistencies in the downtime paper records. The qualitative interview data confirmed that delays in laboratory result reporting are significant, and further uncovered that the delays are often due to improper procedural execution, and incomplete or incorrect documentation. Interviewees provided a variety of perspectives on the operational implications of downtime, and how to best address them. Based on these insights, recommendations for improved downtime contingency planning were derived, which provide a foundation to enhance

conclusionThis study documents the extent to which downtime events are disruptive to hospital operations. It further highlights the challenge of quantitatively assessing the implication of downtimes events, due to a lack of otherwise EHR-recorded data. Organizations that seek to improve and evaluate their downtime contingency plans need to find more effective methods to collect data during these times.

Indexed as

Electronic Health RecordsClinical Laboratory TechniquesHospitalsHumansPatient CarePatient SafetyRiskWorkflow

Identifiers

PMID31291677
PMCPMC6620179

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.