2024
Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force
Fleurence R, Kent S, Adamson B, Tcheng J, Balicer R, Ross J, Haynes K, Muller P, Campbell J, Bouée-Benhamiche E, García Martí S, Ramsey S. Assessing Real-World Data From Electronic Health Records for Health Technology Assessment: The SUITABILITY Checklist: A Good Practices Report of an ISPOR Task Force. Value In Health 2024, 27: 692-701. PMID: 38871437, PMCID: PMC11182651, DOI: 10.1016/j.jval.2024.01.019.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth technology assessmentElectronic health record dataEHR-derived dataHealth record dataTechnology assessmentHealth technology assessment agenciesHealth recordsGenerative artificial intelligenceData provenanceLanguage modelEvidence gapsPractice reportArtificial intelligenceRecord dataISPOR Task ForceData characteristicsData governanceReal worldEvidence developmentTask ForceReal World DataISPORChecklistRelevant itemsIntegrating 4 methods to evaluate physical function in patients with cancer (In4M): protocol for a prospective cohort study
Thanarajasingam G, Kluetz P, Bhatnagar V, Brown A, Cathcart-Rake E, Diamond M, Faust L, Fiero M, Huntington S, Jeffery M, Jones L, Noble B, Paludo J, Powers B, Ross J, Ritchie J, Ruddy K, Schellhorn S, Tarver M, Dueck A, Gross C. Integrating 4 methods to evaluate physical function in patients with cancer (In4M): protocol for a prospective cohort study. BMJ Open 2024, 14: e074030. PMID: 38199641, PMCID: PMC10806877, DOI: 10.1136/bmjopen-2023-074030.Peer-Reviewed Original ResearchConceptsPhysical function assessmentPhysical functionFunctional assessmentEvaluation of physical functionElectronic health record dataEvaluate physical functionHealth record dataSpanish-speaking patientsDigital health technologiesBreast cancerProspective cohort studyClinician-reported outcomesCancer clinical trialsClinical decision-makingStudy questionnairePatient-centred evaluationHealth technologiesMeasure symptomsOncology practiceCohort studyRecord dataPatient's impressionMayo ClinicEnglish-speakingWearable sensors
2023
Assessing the use of observational methods and real-world data to emulate ongoing randomized controlled trials
Wallach J, Deng Y, Polley E, Dhruva S, Herrin J, Quinto K, Gandotra C, Crown W, Noseworthy P, Yao X, Jeffery M, Lyon T, Ross J, McCoy R. Assessing the use of observational methods and real-world data to emulate ongoing randomized controlled trials. Clinical Trials 2023, 20: 689-698. PMID: 37589143, PMCID: PMC10843567, DOI: 10.1177/17407745231193137.Peer-Reviewed Original ResearchConceptsBaseline participant characteristicsParticipant characteristicsPrimary endpointSecondary endpointsTrial publicationsMajor adverse cardiovascular eventsPropensity score-matched participantsFirst major adverse cardiovascular eventAdverse cardiovascular eventsBaseline patient characteristicsNonfatal myocardial infarctionOptumLabs Data WarehouseElectronic health record dataRepresentative patient populationHealth record dataCardiovascular eventsClinical characteristicsPatient characteristicsPatient populationMyocardial infarctionExclusion criteriaDrug effectivenessTrialsRecord dataEndpoint
2020
Commentary on Bertagnolli et al.: Leveraging electronic health record data for clinical trials—a brave new world
Ross JS, Dhruva SS, Shah ND. Commentary on Bertagnolli et al.: Leveraging electronic health record data for clinical trials—a brave new world. Clinical Trials 2020, 17: 243-246. PMID: 32266836, DOI: 10.1177/1740774520913850.Commentaries, Editorials and LettersMeSH KeywordsElectronic Health Records
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