Evidence map›Paper›PMID 38563821›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2024

The National Healthcare Safety Network's digital quality measures: CDC's automated measures for surveillance of patient safety.

Nadine Shehab, Liora Alschuler, Sean McILvenna, Zabrina Gonzaga, Andrew Laing, David deRoode, Raymund B Dantes, Kristina Betz, Shuai Zheng, Sheila Abner and 3 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. First steps in establishing surveillance of bloodstream infections from electronic health record derived data, EU/EEA countries, March 2023 to March 2025.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
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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

13 authors.

Nadine ShehabLantana Consulting Group, East Thetford, VT 05043, United States.
Liora AlschulerLantana Consulting Group, East Thetford, VT 05043, United States.
Sean McILvennaLantana Consulting Group, East Thetford, VT 05043, United States.
Zabrina GonzagaLantana Consulting Group, East Thetford, VT 05043, United States.
Andrew LaingLantana Consulting Group, East Thetford, VT 05043, United States.
David deRoodeLantana Consulting Group, East Thetford, VT 05043, United States.
Raymund B DantesDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA 30333, United States.
Kristina BetzDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA 30333, United States.
Shuai ZhengDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA 30333, United States.
Sheila AbnerDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA 30333, United States.
Elizabeth StutlerLantana Consulting Group, East Thetford, VT 05043, United States.
Rick GeimerLantana Consulting Group, East Thetford, VT 05043, United States.
Andrea L BeninDivision of Healthcare Quality Promotion, Centers for Disease Control and Prevention (CDC), Atlanta, GA 30333, United States.

Funding

CDC HHS 47QTCA21D001
6 · The paper itself

Abstract

objectiveThis article presents the National Healthcare Safety Network (NHSN)'s approach to automation for public health surveillance using digital quality measures (dQMs) via an open-source tool (NHSNLink) and piloting of this approach using real-world data in a newly established collaborative program (NHSNCoLab). The approach leverages Health Level Seven Fast Healthcare Interoperability Resources (FHIR) application programming interfaces to improve data collection and reporting for public health and patient safety beginning with common, clinically significant, and preventable patient harms, such as medication-related hypoglycemia, healthcare facility-onset Clostridioides difficile infection, and healthcare-associated venous thromboembolism.

conclusionsThe NHSN's FHIR dQMs hold the promise of minimizing the burden of reporting, improving accuracy, quality, and validity of data collected by NHSN, and increasing speed and efficiency of public health surveillance.

Indexed as

Clostridium InfectionsPatient SafetyCenters for Disease Control and Prevention, U.S.Data CollectionHumansQuality of Health CareUnited Statesapplication programming interfaceautomationdata modernizationdigital quality measurefast healthcare interoperability resourceshealthcare-associated infectionshealthcare data exchangemedication safetyNational Healthcare Safety Networkpatient safety

Identifiers

PMID38563821
PMCPMC11031211

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.