ArticleSexually transmitted diseases2023
A State Health Department and Health Information Exchange Partnership: An Effective Collaboration for a Data-Driven Response for COVID-19 Contact Tracing in Maryland.
Article in Sexually transmitted diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Health Information Exchange: Contributions from 2023.Yearbook of medical informatics · 2024Pooled it
- Best Practices for Data Modernization Across the United States Public Health System: Scoping Review.Journal of medical Internet research · 2025Article
- Contact tracing strategies for infectious diseases: A systematic literature review.PLOS global public health · 2025Article
- Learning health system linchpins: information exchange and a common data model.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Public Health Data Exchange Through Health Information Exchange Organizations: National Survey Study.JMIR public health and surveillance · 2024Article
- Regulations and Funding to Create Enterprise Architecture for a Nationwide Health Data Ecosystem.American journal of public health · 2024Article
- Creating a Sexually Transmitted Infection Disease Intervention Workforce for the 21st Century.Sexually transmitted diseases · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundAccurate, complete, timely data were essential to effective contact tracing for COVID-19. Maryland Department of Health partnered with Maryland's designated health information exchange, Chesapeake Regional Information System for Our Patients (CRISP), to establish data enhancement processes that provided the foundation for Maryland's successful contact tracing program.
methodsHourly, electronic positive COVID-19 test results were routed through CRISP to the contact tracing data platform. The CRISP matched reports against its master patient index to enhance the record with demographic, locating, fatality, vaccination, and hospitalization data. Records were deduplicated and flagged if associated with a congregate setting, select state universities, or recent international travel. χ 2 Tests were used to assess if CRISP-added phone numbers resulted in better contact tracing outcomes.
resultsDuring June 15, 2020, to September 1, 2021, CRISP pushed 531,094 records to the state's contact tracing data platform within an hour of receipt; of those eligible for investigation, 99% had a phone number. The CRISP matched 521,731 (98%) records to their master patient index, allowing for deduplication and enrichment. The CRISP flagged 15,615 cases in congregate settings and 3304 cases as university students; these records were immediately routed for outbreak investigation. Records with an added phone number were significantly more likely to be successfully reached compared with cases with no added phone number ( P = 0.01).
conclusionsThe CRISP enhanced COVID-19 electronic laboratory reports with a near-instant impact on public health actions. The partnership and data processing workflows can serve as a blueprint for data modernization in public health agencies across the United States.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.