ArticleJAMIA open2023
Creation of a data commons for substance misuse related health research through privacy-preserving patient record linkage between hospitals and state agencies.
Article in JAMIA open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Development and evaluation of a multi-source machine learning model to predict critical illness and death in patients with substance misuse.JAMIA open · 2026Article
- Designing a Substance Misuse Data Dashboard for Overdose Fatality Review Teams: User-Centered Design Approach.JMIR human factors · 2026Article
- Linking patient records at scale with a hybrid approach combining contrastive learning and deterministic rules.Biology methods & protocols · 2026Article
- Integrating multiple data sources to predict all-cause readmission or mortality in patients with substance misuse.PLOS digital health · 2025Article
- Data linkage multiplies research insights across diverse healthcare sectors.Communications medicine · 2025Review
- Operationalizing a research-oriented learning healthcare system across covered entities: cross-institutional strategies and innovations.npj health systems · 2025Article
- Prior emergency medical services utilization is a risk factor for in-hospital death among patients with substance misuse: a retrospective cohort study.BMC emergency medicine · 2024Article
- Developing a Cascade of Care Framework and Surveillance Indicators to Monitor Linkage to and Retention in Care for Substance Use Disorder.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
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Authors and funding
18 authors at 4 institutions in 1 country.
Funding
Abstract
Objectives: Substance misuse is a complex and heterogeneous set of conditions associated with high mortality and regional/demographic variations. Existing data systems are siloed and have been ineffective in curtailing the substance misuse epidemic. Therefore, we aimed to build a novel informatics platform, the Substance Misuse Data Commons (SMDC), by integrating multiple data modalities to provide a unified record of information crucial to improving outcomes in substance misuse patients. Materials and Methods: The SMDC was created by linking electronic health record (EHR) data from adult cases of substance (alcohol, opioid, nonopioid drug) misuse at the University of Wisconsin hospitals to socioeconomic and state agency data. To ensure private and secure data exchange, Privacy-Preserving Record Linkage (PPRL) and Honest Broker services were utilized. The overlap in mortality reporting among the EHR, state Vital Statistics, and a commercial national data source was assessed. Results: The SMDC included data from 36 522 patients experiencing 62 594 healthcare encounters. Over half of patients were linked to the statewide ambulance database and prescription drug monitoring program. Chronic diseases accounted for most underlying causes of death, while drug-related overdoses constituted 8%. Our analysis of mortality revealed a 49.1% overlap across the 3 data sources. Nonoverlapping deaths were associated with poor socioeconomic indicators. Discussion: Through PPRL, the SMDC enabled the longitudinal integration of multimodal data. Combining death data from local, state, and national sources enhanced mortality tracking and exposed disparities. Conclusion: The SMDC provides a comprehensive resource for clinical providers and policymakers to inform interventions targeting substance misuse-related hospitalizations, overdoses, and death.
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Registered trials
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