Powerful Data Logistic Solutions for Health Plans
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Research and publications
See studies powered by Datavant using real-world data for predictive modeling, benchmarking, and cross-disciplinary studies.
Many individuals experience ongoing symptoms following the onset of COVID-19, characterized as postacute sequelae of SARS-CoV-2 or post–COVID-19 condition (PCC). Less is known about the long-term outcomes for these individuals.
One-Year Adverse Outcomes Among US Adults With Post–COVID-19 Condition vs Those Without COVID-19 in a Large Commercial Insurance Database
The National COVID Cohort Collaborative (N3C) is an open science effort led by the NIH National Center for Advancing Translational Sciences aimed at accelerating COVID-19 research
Use of large-scale privacy protecting record linkages for data sharing to enhance
This year, a study of ten million people revealed the power of longitudinal research. A team mined a vast medical database of US military personnel, including tissue samples and health records collected over 20 years.
Cancer Research Needs Better Databases
Using Datavant's Death Index database, researchers assess COVID-19 mortality trend by time and sex to analyze mortality cases and identify observed differences.
Sex differences in COVID-19 mortality: A large US-based cohort study (2020–2022)
This study outlines a method for updating age-constrained thresholds using upcoming 2020 census data and provides recommendations based on the 2010 census.
Best Practices in Evolving Privacy Frameworks for Patient Age Data: Census Data Study
Research driven by real-world clinical data is increasingly vital to enabling learning health systems, but integrating such data from across disparate health systems is challenging.
Privacy-preserving record linkage across disparate institutions and datasets to enable a learning health system: The national COVID cohort collaborative (N3C) experience
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.
Creation of a data commons for substance misuse related health research through privacy-preserving patient record linkage between hospitals and state agencies
Social determinants of health (SDoH) are increasingly recognized as a main contributor to clinical health outcomes, but the technologies and workflows within clinics make it difficult for health care providers to address SDoH needs during routine clinical visits.
Social and Health Information Platform: Piloting a Standards-Based, Digital Platform Linking Social Determinants of Health Data into Clinical Workflows for Community-Wide Use
Retrospective, longitudinal study with propensity score–matched comparison group that used commercial medical claims data representing more than 100 million commercially insured lives.
Digital Musculoskeletal Program Is Associated With Decreased Joint Replacement Rates
X-linked myotubular myopathy (XLMTM) is a rare, life-threatening congenital myopathy with multisystem involvement, often requiring invasive ventilator support, gastrostomy tube feeding, and wheelchair use. Understanding healthcare resource utilization in patients with XLMTM is important for development of targeted therapies but data are limited.
Real‑world Analysis of Healthcare Resource Utilization by Patients With X‑linked Myotubular Myopathy (XLMTM) in the United States
Political affiliation has emerged as a potential risk factor for COVID-19, amid evidence that Republican-leaning counties have had higher COVID-19 death rates than Democrat- leaning counties and evidence of a link between political party affiliation and vaccination views.
Excess Deaths for Republicans and Democrats During the COVID-19 Pandemic
This article describes the implementation of a privacy-preserving record linkage (PPRL) solution across PCORnet®, the National Patient-Centered Clinical Research Network.
Assessing the impact of privacy-preserving record linkage on record overlap and patient demographic and clinical characteristics in PCORnet®, the National Patient-Centered Clinical Research Network
The aim of this study was to determine whether a secure, privacy-preserving record linkage (PPRL) methodology can be implemented in a scalable manner for use in a large national clinical research network.
Establishing a framework for privacy-preserving record linkage among electronic health record and administrative claims databases within PCORnet
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