Evidence map›Paper›PMID 35289912›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Developing a COVID-19 WHO Clinical Progression Scale inpatient database from electronic health record data.

Priya Ramaswamy, Jen J Gong, Sameh N Saleh, Samuel A McDonald, Seth Blumberg, Richard J Medford, Xinran Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

7 authors.

Priya RamaswamyDivision of Hospital Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.
Jen J GongCenter of Clinical Informatics and Improvement Research, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.
Sameh N SalehClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0001-5959-1659
Samuel A McDonaldClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Seth BlumbergFrancis I. Proctor Foundation, University of California San Francisco, San Francisco, California, USA.
Richard J MedfordClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID 0000-0001-9814-8043
Xinran LiuDivision of Hospital Medicine, Department of Medicine, University of California, San Francisco, San Francisco, California, USA.

Funding

UCSF-Proctor Clinician Vision Scholars K12 ProgramK12EY031372 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI THOMAS M LIETMAN, Yvonne Ou · 2020 to 2026
$3.9M
ACL HHS U01CK000590CDC HHS 1U01CK000590NCEZID CDC HHS U01 CK000590NEI NIH HHS K12 EY031372NIH HHS K12 EY031372
6 · The paper itself

Abstract

objectiveThere is a need for a systematic method to implement the World Health Organization's Clinical Progression Scale (WHO-CPS), an ordinal clinical severity score for coronavirus disease 2019 patients, to electronic health record (EHR) data. We discuss our process of developing guiding principles mapping EHR data to WHO-CPS scores across multiple institutions. MATERIALS AND

methodsUsing WHO-CPS as a guideline, we developed the technical blueprint to map EHR data to ordinal clinical severity scores. We applied our approach to data from 2 medical centers.

resultsOur method was able to classify clinical severity for 100% of patient days for 2756 patient encounters across 2 institutions. DISCUSSION: Implementing new clinical scales can be challenging; strong understanding of health system data architecture was integral to meet the clinical intentions of the WHO-CPS.

conclusionWe describe a detailed blueprint for how to apply the WHO-CPS scale to patient data from the EHR.

Indexed as

COVID-19Electronic Health RecordsDatabases, FactualHumansInpatientsWorld Health OrganizationCOVID-19electronic health recordsmedical informaticspublic health informaticsWorld Health Organization

Identifiers

PMID35289912
PMCPMC9196693

What OpenQuestion holds

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Registered trials

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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.