Author

Zachary M. Salvati

Geisinger Health SystemORCID 0000-0001-9442-3220Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Approach:statistical model· 3 Organism:human· 2 Approach:benchmark study· 1 Assay:electronic health records· 1

Frequent Co-Authors

Marc S. WilliamsiD· 2 shared Alanna Kulchak RahmiD· 1 shared Alex R. ChangiD· 1 shared Amy KontorovichiD· 1 shared Andrea N. Burnett‐HartmaniD· 1 shared Christine Y. LuiD· 1 shared Darren K. Johnson· 1 shared Deborah L. CraguniD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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2 shared papersGenetic & Genomic Medicine

Marc S. WilliamsORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintAug 12, 2026

Designing to Implement Genomics Informed ASCVD Risk Assessment: Patient and Clinician Perspectives about Identifying and Managing the Underlying Causes of Severe Hypercholesterolemia

Kelly Morgan, Gemme Campbell‐Salome, Zachary M. Salvati…·Miranda L. G. Hallquist

The paper explores patient and clinician perspectives on identifying and managing the underlying causes of severe hypercholesterolemia through genomic insights.

DOI 10.64898/2026.08.10.26360146

humanelectronic health records

𝕏 PostBluesky

Genetic & Genomic MedicineGenetics in MedicinePeer-reviewedJun 28, 2024

Using Coincidence Analysis to Identify Causal Chains of Factors Associated with Implementation and Optimization of Lynch Syndrome Tumor Screening Across Multiple Health care Systems

Deborah L. Cragun, Zachary M. Salvati, Jennifer L. Schneider…·Alanna Kulchak Rahm

This paper identifies causal chains affecting Lynch syndrome tumor screening implementation across healthcare systems using coincidence analysis of stakeholder interviews.

6 citations

statistical modelbenchmarking

𝕏 PostBluesky

Genetic & Genomic MedicineJournal of the American Medical Informatics AssociationPeer-reviewedMar 4, 2024

Genomics in nephrology: identifying informatics opportunities to improve diagnosis of genetic kidney disorders using a human-centered design approach

Katrina M. Romagnoli, Zachary M. Salvati, Darren K. Johnson…·Marc S. Williams

This study identifies informatics opportunities to improve genetic diagnosis of kidney disorders by understanding nephrologists' needs and barriers through interviews and service blueprints.

DOI 10.1093/jamia/ocae053

humanstatistical model

𝕏 PostBluesky