Evidence map›Paper›PMID 37293479›Full record

ArticlePerspectives in health information managemen2023

Methods and Lessons Learned from a Current State Workflow Assessment following Transition to a New Electronic Health Record System.

Claire Hayes Watson, Anthony Masalonis, Tim Arnold, Neale R Chumbler, William Plew

Abstract read
In one paragraph

Article in Perspectives in health information managemen, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

5 authors.

Claire Hayes WatsonVisionary Consulting Partners, LLC, Washington, DC.
Anthony MasalonisSpectrum Software Technology, Inc., Washington, DC.
Tim ArnoldClinical Informatics and Data Management Office, Office of Health Informatics, Veterans Health Administration, Washington, DC, USA.
Neale R ChumblerAcademic, Faculty and Student Affairs, Memphis, TN.
William PlewHuman Factors Engineering, Clinical Informatics and Data Management Office, Office of Health Informatics, Veterans Health Administration, Washington, DC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transition to a new electronic health record (EHR) system requires an understanding of how the new system addresses the needs, business processes, and current activities of a healthcare system. To address such requirements, a multidisciplinary team conducted a current state workflow assessment (CSWFA) of clinical and administrative functions to elicit and document business processes (via process diagrams), requirements, workarounds, and process issues (i.e., user interface issues, training gaps) at one healthcare facility. We provided a novel method of evaluating the implementation process to ensure that a CSWFA was documented with key stakeholders. In this analysis, we describe the CSWFA approach and expected outcomes with a specific emphasis on how a qualitative approach can be integrated to explore underlying patterns and relationships in the data. Overall, this methodology enables practitioners to deliver data-driven support initiatives that optimize EHR implementation while considering user experience, productivity, and patient safety.

Indexed as

Electronic Health RecordsSoftwareHumansPatient SafetyWorkflowEHR implementationEHR transitionelectronic health recorduser experienceWorkflow assessment

Identifiers

PMID37293479
PMCPMC10245086

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.