Peter Gershkovich, MD, MHA
Associate Professor of PathologyCards
Appointments
Additional Titles
Director, Section of Pathology Informatics and Cancer Data Science, Pathology
Contact Info
Appointments
Additional Titles
Director, Section of Pathology Informatics and Cancer Data Science, Pathology
Contact Info
Appointments
Additional Titles
Director, Section of Pathology Informatics and Cancer Data Science, Pathology
Contact Info
About
Titles
Associate Professor of Pathology
Director, Section of Pathology Informatics and Cancer Data Science, Pathology
Biography
Dr. Gershkovich joined Pathology Department in 2004 shortly after completing the NLM funded fellowship training at Yale Center for Medical Informatics. Since that time, he led the development of novel, cutting-edge software to mesh emerging technologies with existing commercial Laboratory Information System, robotic laboratory instruments, Digital Pathology equipment, and the Hospital EMR.
Dr. Gershkovich is interested in clinical systems engineering, information visualization, DNA sequencing analysis, NLP, and full-text search of clinical data. He is currently focusing on how to better assemble, compile, and deliver relevant information at the point where a clinical decision needs to be made.
The underlying philosophy in his software development is pragmatic reasoning which typically leads to the development of working systems that have meaningful impact on clinical care. The systems developed by his engineering group integrate into the daily workflow of the Pathology Department improving quality and efficiency of patient care and clinical operations.
At the onset of COVID epidemics, his group rapidly created and deployed a suite of software modules to support SARS-CoV-2 testing, further demonstrating that implanting software engineering activities in clinical services and translational research is essential for modern patient care.
This work is critical for patient safety, the integration and accuracy of new diagnostic techniques, continuous quality improvement, and impactful workflow reengineering in medicine.
Appointments
Education & Training
- Fellow
- Yale University, Yale Center for Medical Informatics (2002)
- MHA
- Suffolk University (1996)
- MD
- Altai State Medical University (1987)
Research
Overview
"Processing information faster and more efficiently, which today's technology can easily accomplish, is not sufficient. More intelligent processing, logical aggregation of information, synthesis, and analysis, and the development of knowledge systems that serve purposeful ends are needed." This is a quote from 1992 charter of NLM fellowship in applied informatics when it was just established remains even more relevant and critical today.
I have strong interest in rapid development methodologies and working on software that deals with systems integration and interoperability, supports Tumor DNA sequencing reporting, enables laboratory integration of digital pathology, and assists with analytics, information retrieval, and visualization.
ORCID
0000-0002-4432-4969Pathology Informatics & Cancer Data Science
In the ever-evolving domain of laboratory information systems, REALM (Rapidly Evolving Agile Laboratory Modules) is the focus of our work.
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Research at a Glance
Yale Co-Authors
Publications Timeline
John Sinard, MD, PhD
David Rimm, MD, PhD
Joanna Gibson, MD, PhD
Angelique W. Levi, MD
Lajos Pusztai, MD, DPhil
Andrea Silber, MD
Publications
2023
Proceedings of the Association for Pathology Informatics Bootcamp 2022
Obstfeld A, Brodsky V, Carter A, Gershkovich P, Haymond S, Levy B, Sinard J, Sellers D, Stoffel M, Jackups R. Proceedings of the Association for Pathology Informatics Bootcamp 2022. Journal Of Pathology Informatics 2023, 14: 100331. PMID: 37705688, PMCID: PMC10495674, DOI: 10.1016/j.jpi.2023.100331.Peer-Reviewed Original ResearchAltmetric
2022
NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health
Lee P, Benz C, Blood P, Börner K, Campisi J, Chen F, Daldrup-Link H, De Jager P, Ding L, Duncan F, Eickelberg O, Fan R, Finkel T, Furman D, Garovic V, Gehlenborg N, Glass C, Heckenbach I, Joseph Z, Katiyar P, Kim S, Königshoff M, Kuchel G, Lee H, Lee J, Ma J, Ma Q, Melov S, Metis K, Mora A, Musi N, Neretti N, Passos J, Rahman I, Rivera-Mulia J, Robson P, Rojas M, Roy A, Scheibye-Knudsen M, Schilling B, Shi P, Silverstein J, Suryadevara V, Xie J, Wang J, Wong A, Niedernhofer L, Wang S, Anvari H, Balough J, Benz C, Bons J, Brenerman B, Evans W, Gerencser A, Gregory H, Hansen M, Justice J, Kapahi P, Murad N, O’Broin A, Pavone M, Powell M, Scott G, Shanes E, Shankaran M, Verdin E, Winer D, Wu F, Adams A, Blood P, Bueckle A, Cao-Berg I, Chen H, Davis M, Filus S, Hao Y, Hartman A, Hasanaj E, Helfer J, Herr B, Joseph Z, Molla G, Mou G, Puerto J, Quardokus E, Ropelewski A, Ruffalo M, Satija R, Schwenk M, Scibek R, Shirey W, Sibilla M, Welling J, Yuan Z, Bonneau R, Christiano A, Izar B, Menon V, Owens D, Phatnani H, Smith C, Suh Y, Teich A, Bekker V, Chan C, Coutavas E, Hartwig M, Ji Z, Nixon A, Dou Z, Rajagopal J, Slavov N, Holmes D, Jurk D, Kirkland J, Lagnado A, Tchkonia T, Abraham K, Dibattista A, Fridell Y, Howcroft T, Jhappan C, Montes V, Prabhudas M, Resat H, Taylor V, Kumar M, Suryadevara V, Cigarroa F, Cohn R, Cortes T, Courtois E, Chuang J, Davé M, Domanskyi S, Enninga E, Eryilmaz G, Espinoza S, Gelfond J, Kirkland J, Kuchel G, Kuo C, Lehman J, Aguayo-Mazzucato C, Meves A, Rani M, Sanders S, Thibodeau A, Tullius S, Ucar D, White B, Wu Q, Xu M, Yamaguchi S, Assarzadegan N, Cho C, Hwang I, Hwang Y, Xi J, Adeyi O, Aliferis C, Bartolomucci A, Dong X, DuFresne-To M, Ikramuddin S, Johnson S, Nelson A, Niedernhofer L, Revelo X, Trevilla-Garcia C, Sedivy J, Thompson E, Robbins P, Wang J, Aird K, Alder J, Beaulieu D, Bueno M, Calyeca J, Chamucero-Millaris J, Chan S, Chung D, Corbett A, Gorbunova V, Gowdy K, Gurkar A, Horowitz J, Hu Q, Kaur G, Khaliullin T, Lafyatis R, Lanna S, Li D, Ma A, Morris A, Muthumalage T, Peters V, Pryhuber G, Reader B, Rosas L, Sembrat J, Shaikh S, Shi H, Stacey S, Croix C, Wang C, Wang Q, Watts A, Gu L, Lin Y, Rabinovitch P, Sweetwyne M, Artyomov M, Ballentine S, Chheda M, Davies S, DiPersio J, Fields R, Fitzpatrick J, Fulton R, Imai S, Jain S, Ju T, Kushnir V, Link D, Ben Major M, Oh S, Rapp D, Rettig M, Stewart S, Veis D, Vij K, Wendl M, Wyczalkowski M, Craft J, Enninful A, Farzad N, Gershkovich P, Halene S, Kluger Y, VanOudenhove J, Xu M, Yang J, Yang M. NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health. Nature Aging 2022, 2: 1090-1100. PMID: 36936385, PMCID: PMC10019484, DOI: 10.1038/s43587-022-00326-5.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSenescence-associated secretory phenotypeSenescent cellsSecretory phenotypeMulti-omics datasetsStable growth arrestHuman lifespanDiverse rolesGrowth arrestProinflammatory senescence-associated secretory phenotypeHuman tissuesPhenotypeMetabolic changesCellsHuman healthLifespanPhysiological healthCommon Coordinate FrameworkSystems approach to enhance Lynch syndrome diagnosis through tumour testing
Singh V, Mezzacappa C, Gershkovich P, Di Giovanna J, Ganzak A, Gibson J, Sinard J, Xicola RM, Llor X. Systems approach to enhance Lynch syndrome diagnosis through tumour testing. Journal Of Medical Genetics 2022, 60: 533-539. PMID: 36115663, PMCID: PMC10020126, DOI: 10.1136/jmg-2022-108770.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsOriginal cohortColorectal adenocarcinomaLynch syndromeTumor testingGenetic testingPercentage of patientsProportion of patientsLynch syndrome diagnosisCG evaluationCancer genetic testingRace/ethnicityCRC testingCohort studyMMR immunohistochemistryLS diagnosisNew diagnosisMMR lossAcademic centersPatientsSyndrome diagnosisCohortCase identificationMethylation testingReferral differencesReferral mechanismsQIM22-192: Mismatch Repair Protein Immunohistochemistry: Quality of Mismatch Repair Deficiency Detection
Matsumoto N, Barbieri A, Gershkovich P, Cecchini M, Gibson J. QIM22-192: Mismatch Repair Protein Immunohistochemistry: Quality of Mismatch Repair Deficiency Detection. Journal Of The National Comprehensive Cancer Network 2022, 20: qim22-192. DOI: 10.6004/jnccn.2021.7192.Peer-Reviewed Original Research
2021
An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy
Perincheri S, Levi AW, Celli R, Gershkovich P, Rimm D, Morrow JS, Rothrock B, Raciti P, Klimstra D, Sinard J. An independent assessment of an artificial intelligence system for prostate cancer detection shows strong diagnostic accuracy. Modern Pathology 2021, 34: 1588-1595. PMID: 33782551, PMCID: PMC8295034, DOI: 10.1038/s41379-021-00794-x.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsMemorial Sloan-Kettering Cancer CenterCore biopsyPredictive valueDiagnostic accuracyProstate core needle biopsiesCore needle biopsySurgical pathology practiceNegative predictive valueProstate core biopsiesPositive predictive valueProstate cancer detectionStrong diagnostic accuracyPoor quality scansCancer detectionCancer CenterProstate biopsyLeading causeNeedle biopsyTransrectal approachProstate cancerProstatic adenocarcinomaProstate carcinomaBiopsyPathology practiceProstateMeasuring Faculty Effort: A Quantitative Approach That Aligns Personal and Institutional Goals in Pathology at Yale
Morrow JS, Gershkovich P, Gibson J, Gilshannon M, Kowalski D, Levi AW, Nguyen DX, Rimm DL, Xu ML, Sinard J. Measuring Faculty Effort: A Quantitative Approach That Aligns Personal and Institutional Goals in Pathology at Yale. Academic Pathology 2021, 8: 23742895211047985. PMID: 34646939, PMCID: PMC8504692, DOI: 10.1177/23742895211047985.Peer-Reviewed Original ResearchCitationsAltmetric
2020
1 IMPROVING LYNCH SYNDROME IDENTIFICATION THROUGH THE IMPLEMENTATION OF ENHANCED TUMOR TESTING AND A COMPREHENSIVE SYSTEMS APPROACH
Singh V, Ganzak A, Gershkovich P, Gibson J, Llor X. 1 IMPROVING LYNCH SYNDROME IDENTIFICATION THROUGH THE IMPLEMENTATION OF ENHANCED TUMOR TESTING AND A COMPREHENSIVE SYSTEMS APPROACH. Gastroenterology 2020, 158: s-1. DOI: 10.1016/s0016-5085(20)30682-x.Peer-Reviewed Original Research
2018
TQuest, A Web-Based Platform to Enable Precision Medicine by Linking a Tumor’s Genetic Defects to Therapeutic Options
Gershkovich P, Platt J, Knopf J, Tasoulis MK, Shi W, Pusztai L, Hatzis C. TQuest, A Web-Based Platform to Enable Precision Medicine by Linking a Tumor’s Genetic Defects to Therapeutic Options. JCO Clinical Cancer Informatics 2018, 2: 1-13. PMID: 30652574, DOI: 10.1200/cci.17.00120.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsData acquisition layerFull-text indexAcquisition layerUser interfaceData layersPrototype web applicationWeb-based platformWeb applicationRelevance scoresSearch enginesSource codeSoftware toolsSearch resultsInterventional clinical trialsLabel dataClinical trialsTherapeutic optionsPlatformUS FoodMolecular abnormalitiesMetastatic breast cancerPotential therapeutic optionPotential treatment optionTumor DNA sequencingWeb-based modules
2015
Customizing Laboratory Information Systems
Gershkovich P, Sinard JH. Customizing Laboratory Information Systems. Advances In Anatomic Pathology 2015, 22: 323-330. PMID: 26262515, DOI: 10.1097/pap.0000000000000088.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsMutation-based treatment recommendations from next generation sequencing data: A comparison of web tools.
Patel J, Reiner E, Bossuyt V, Epstein L, Platt J, DiGiovanna M, Chung G, Silber A, Sanft T, Hofstatter E, Mougalian S, Abu-Khalaf M, Gershkovich P, Hatzis C, Pusztai L. Mutation-based treatment recommendations from next generation sequencing data: A comparison of web tools. Journal Of Clinical Oncology 2015, 33: e12564-e12564. DOI: 10.1200/jco.2015.33.15_suppl.e12564.Peer-Reviewed Original Research
News
News
- September 25, 2024
Pathology Team Encouraged About Migration to Epic Beaker Laboratory Information System
- February 23, 2023
Digital Pathology Efforts Ramp Up as Thousands of Specimen Slides are Converted into Electronic Form at Yale
- December 02, 2021
Pathology Department Announces 2021 Faculty Promotions
- June 30, 2021
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Academic Office
Brady Memorial Laboratory
310 Cedar Street, Ste BML B50C
New Haven, CT 06510
Appointments
203.785.2325