Evidence map›Paper›PMID 32308914›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2019

Process Mining and Ethnography Study of Medication Reconciliation Tasks.

Vaishak Ramesh Vellore, M Adela Grando, Benjamin Duncan, David R Kaufman, Stephanie K Furniss, Bradley N Doebbeling, Karl A Poterack, Timothy Miksch, Richard A Helmers

Open access · greenAbstract readComparative Study
PubMed Full text at PMC
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 18% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Vaishak Ramesh VelloreFulton Schools of Engineering, Arizona State University, AZ, US.
M Adela GrandoBiomedical Informatics, College of Health Solutions, Arizona State University, AZ, US.
Benjamin DuncanBiomedical Informatics, College of Health Solutions, Arizona State University, AZ, US.
David R KaufmanBiomedical Informatics, College of Health Solutions, Arizona State University, AZ, US.
Stephanie K FurnissBiomedical Informatics, College of Health Solutions, Arizona State University, AZ, US.
Bradley N DoebbelingBiomedical Informatics, College of Health Solutions, Arizona State University, AZ, US.
Karl A PoterackKern Center Informatics and Knowledge Management, Mayo Clinic, Rochester, MN, US.
Timothy MikschKern Center Informatics and Knowledge Management, Mayo Clinic, Rochester, MN, US.
Richard A HelmersCollege of Medicine, Mayo Clinic, Rochester, MN, US.
Mayo Clinic in Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We studied the medication reconciliation (MedRec) task through analysis of computer logs and ethnographic data. Time spent by healthcare providers performing MedRec was compared between two different EHR systems used at four different regional perioperative settings. Only one of the EHRs used at two settings generated computer logs that supported automatic discovery of the MedRec task. At those two settings, 53 providers generated 383 MedRec instances. Findings from the computer logs were validated with ethnographic data, leading to the identification and removal of 47 outliers. Without outliers, one of the settings had slightly smaller mean (SD) time in seconds 67.3 (40.2) compared with the other, 92.1 (25). The difference in time metrics was statistically significant (p<.001). Reusability of an existing task-based analytic method allowed for rapid study of EHR-based workflow and task.

Indexed as

Electronic Health RecordsHealth PersonnelMedication ReconciliationWorkflowHumansOutpatient Clinics, HospitalPerioperative CareTime and Motion StudiesTime FactorsUser-Computer InterfaceVideo Recording

Identifiers

PMID32308914
PMCPMC7153070
OpenAlexW3026520619

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.