2023
Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program.
Yeh H, Peltz-Rauchman C, Johnson C, Pawloski P, Chesla D, Waring S, Stevens A, Epstein M, Joseph C, Miller-Matero L, Gui H, Tang A, Boerwinkle E, Cicek M, Clark C, Cohn E, Gebo K, Loperena R, Mayo K, Mockrin S, Ohno-Machado L, Schully S, Ramirez A, Qian J, Ahmedani B. Examining sociodemographic correlates of opioid use, misuse, and use disorders in the All of Us Research Program. PLOS ONE 2023, 18: e0290416. PMID: 37594966, PMCID: PMC10437856, DOI: 10.1371/journal.pone.0290416.Peer-Reviewed Original ResearchMeSH KeywordsAnalgesics, OpioidElectronic Health RecordsEthnicityHumansMaleOpioid-Related DisordersPopulation HealthConceptsOpioid use disorderOpioid usePrescription opioidsElectronic health recordsReduced oddsDiagnosis of OUDSociodemographic characteristicsPrevalence of OUDNonmedical useLifetime opioid useEHR dataNon-Hispanic white participantsImportant clinical informationNon-medical useLifetime prevalenceStreet opioidsHigher oddsOpioidsClinical informationUse disordersUs Research ProgramSociodemographic correlatesLogistic regressionPrevalenceHealth records
2022
An Overview of Cancer in the First 315,000 All of Us Participants
Aschebrook-Kilfoy B, Zakin P, Craver A, Shah S, Kibriya M, Stepniak E, Ramirez A, Clark C, Cohn E, Ohno-Machado L, Cicek M, Boerwinkle E, Schully S, Mockrin S, Gebo K, Mayo K, Ratsimbazafy F, Sanders A, Shah R, Argos M, Ho J, Kim K, Daviglus M, Greenland P, Ahsan H, . An Overview of Cancer in the First 315,000 All of Us Participants. PLOS ONE 2022, 17: e0272522. PMID: 36048778, PMCID: PMC9436122, DOI: 10.1371/journal.pone.0272522.Peer-Reviewed Original ResearchA research agenda to support the development and implementation of genomics-based clinical informatics tools and resources
Wiley K, Findley L, Goldrich M, Rakhra-Burris T, Stevens A, Williams P, Bult C, Chisholm R, Deverka P, Ginsburg G, Green E, Jarvik G, Mensah G, Ramos E, Relling M, Roden D, Rowley R, Alterovitz G, Aronson S, Bastarache L, Cimino J, Crowgey E, Del Fiol G, Freimuth R, Hoffman M, Jeff J, Johnson K, Kawamoto K, Madhavan S, Mendonca E, Ohno-Machado L, Pratap S, Taylor C, Ritchie M, Walton N, Weng C, Zayas-Cabán T, Manolio T, Williams M. A research agenda to support the development and implementation of genomics-based clinical informatics tools and resources. Journal Of The American Medical Informatics Association 2022, 29: 1342-1349. PMID: 35485600, PMCID: PMC9277642, DOI: 10.1093/jamia/ocac057.Peer-Reviewed Original Research
2021
Privacy-protecting, reliable response data discovery using COVID-19 patient observations
Kim J, Neumann L, Paul P, Day M, Aratow M, Bell D, Doctor J, Hinske L, Jiang X, Kim K, Matheny M, Meeker D, Pletcher M, Schilling L, SooHoo S, Xu H, Zheng K, Ohno-Machado L, Anderson D, Anderson N, Balacha C, Bath T, Baxter S, Becker-Pennrich A, Bernstam E, Carter W, Chau N, Choi Y, Covington S, DuVall S, El-Kareh R, Florian R, Follett R, Geisler B, Ghigi A, Gottlieb A, Hu Z, Ir D, Knight T, Koola J, Kuo T, Lee N, Mansmann U, Mou Z, Murphy R, Neumann L, Nguyen N, Niedermayer S, Park E, Perkins A, Post K, Rieder C, Scherer C, Soares A, Soysal E, Tep B, Toy B, Wang B, Wu Z, Zhou Y, Zucker R. Privacy-protecting, reliable response data discovery using COVID-19 patient observations. Journal Of The American Medical Informatics Association 2021, 28: 1765-1776. PMID: 34051088, PMCID: PMC8194878, DOI: 10.1093/jamia/ocab054.Peer-Reviewed Original ResearchPredictive Analytics for Glaucoma Using Data From the All of Us Research Program
Baxter S, Saseendrakumar B, Paul P, Kim J, Bonomi L, Kuo T, Loperena R, Ratsimbazafy F, Boerwinkle E, Cicek M, Clark C, Cohn E, Gebo K, Mayo K, Mockrin S, Schully S, Ramirez A, Ohno-Machado L, Investigators A. Predictive Analytics for Glaucoma Using Data From the All of Us Research Program. American Journal Of Ophthalmology 2021, 227: 74-86. PMID: 33497675, PMCID: PMC8184631, DOI: 10.1016/j.ajo.2021.01.008.Peer-Reviewed Original ResearchConceptsGlaucoma surgeryPrimary open-angle glaucomaOphthalmic researchSingle-center cohortElectronic health record dataMultivariable logistic regressionSingle-center dataOpen-angle glaucomaHealth record dataMean ageClaims dataUs Research ProgramLogistic regressionSurgeryRecord dataOphthalmic imagingCharacteristic curveExternal validationGlaucomaCohortAUCSingle-center model
2020
Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers
Madhavan S, Bastarache L, Brown J, Butte A, Dorr D, Embi P, Friedman C, Johnson K, Moore J, Kohane I, Payne P, Tenenbaum J, Weiner M, Wilcox A, Ohno-Machado L. Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers. Journal Of The American Medical Informatics Association 2020, 28: 393-401. PMID: 33260207, PMCID: PMC7665546, DOI: 10.1093/jamia/ocaa287.Commentaries, Editorials and LettersMeSH KeywordsAcademic Medical CentersCOVID-19Electronic Health RecordsHumansInformation DisseminationInformation SystemsPublic Health PracticeRegistriesUnited StatesCOVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes
Dong X, Li J, Soysal E, Bian J, DuVall S, Hanchrow E, Liu H, Lynch K, Matheny M, Natarajan K, Ohno-Machado L, Pakhomov S, Reeves R, Sitapati A, Abhyankar S, Cullen T, Deckard J, Jiang X, Murphy R, Xu H. COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes. Journal Of The American Medical Informatics Association 2020, 27: 1437-1442. PMID: 32569358, PMCID: PMC7337837, DOI: 10.1093/jamia/ocaa145.Peer-Reviewed Original ResearchConceptsElectronic health recordsLOINC codesSecondary useRule-based toolOnline web applicationOpen-source packageCritical data elementsWeb applicationData networksEnd usersData elementsIndependent test setHealth recordsTest setKey challengesData normalizationCritical resourcesTest namesRoutine clinical practice dataCodeClinical practice dataCoronavirus disease 2019COVID-19 diagnostic testsToolDevelopersPromoting Quality Face-to-Face Communication during Ophthalmology Encounters in the Electronic Health Record Era
Baxter S, Gali H, Chiang M, Hribar M, Ohno-Machado L, El-Kareh R, Huang A, Chen H, Camp A, Kikkawa D, Korn B, Lee J, Longhurst C, Millen M. Promoting Quality Face-to-Face Communication during Ophthalmology Encounters in the Electronic Health Record Era. Applied Clinical Informatics 2020, 11: 130-141. PMID: 32074650, PMCID: PMC7030957, DOI: 10.1055/s-0040-1701255.Peer-Reviewed Original ResearchMeSH KeywordsAdultCell PhoneCohort StudiesCommunicationDocumentationElectronic Health RecordsHumansOphthalmologyOutcome Assessment, Health CareOutpatientsPatient SatisfactionTime FactorsConceptsElectronic Health Record EraDocumentation efficiencyEHR implementationPhysician-patient interactionAcademic ophthalmology departmentsElectronic health recordsOutpatient ophthalmologyQuality improvement strategiesUse of scribesOutpatient encountersProspective studyOphthalmology departmentQI interventionsQI strategiesPatientsTeam-based workflowsEHR efficiencyNote templateArray of interventionsOphthalmologistsEHR useHealth recordsDocumentation timePhysician burnoutTablet-based application
2019
Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research
Kim J, Kim H, Bell E, Bath T, Paul P, Pham A, Jiang X, Zheng K, Ohno-Machado L. Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research. JAMA Network Open 2019, 2: e199550. PMID: 31433479, PMCID: PMC6707015, DOI: 10.1001/jamanetworkopen.2019.9550.Peer-Reviewed Original ResearchMachine Learning-Based Predictive Modeling of Surgical Intervention in Glaucoma Using Systemic Data From Electronic Health Records
Baxter S, Marks C, Kuo T, Ohno-Machado L, Weinreb R. Machine Learning-Based Predictive Modeling of Surgical Intervention in Glaucoma Using Systemic Data From Electronic Health Records. American Journal Of Ophthalmology 2019, 208: 30-40. PMID: 31323204, PMCID: PMC6888922, DOI: 10.1016/j.ajo.2019.07.005.Peer-Reviewed Original ResearchConceptsPrimary open-angle glaucomaElectronic health recordsMultivariable logistic regressionSurgical interventionGlaucoma surgeryPOAG patientsSystemic dataHigher mean systolic blood pressureMean systolic blood pressureNon-opioid analgesic medicationsLogistic regressionCertain medication classesEye-specific dataHealth recordsRisk of progressionSystolic blood pressureOpen-angle glaucomaSingle academic institutionAnti-hyperlipidemic medicationsAnalgesic medicationMedication classesProgressive diseaseBlood pressureCalcium blockersOphthalmic medicationsTime Requirements of Paper-Based Clinical Workflows and After-Hours Documentation in a Multispecialty Academic Ophthalmology Practice
Baxter S, Gali H, Huang A, Millen M, El-Kareh R, Nudleman E, Robbins S, Heichel C, Camp A, Korn B, Lee J, Kikkawa D, Longhurst C, Chiang M, Hribar M, Ohno-Machado L. Time Requirements of Paper-Based Clinical Workflows and After-Hours Documentation in a Multispecialty Academic Ophthalmology Practice. American Journal Of Ophthalmology 2019, 206: 161-167. PMID: 30910517, PMCID: PMC6755078, DOI: 10.1016/j.ajo.2019.03.014.Peer-Reviewed Original ResearchConceptsPatient encountersNew patient evaluationsClinical workflowElectronic health record useOutpatient ophthalmology clinicHigh clinical volumeAcademic ophthalmology departmentsAcademic ophthalmology practicePaper-based documentationAge 43.9Postoperative visitRoutine followClinic hoursOphthalmology clinicOphthalmology departmentPatient evaluationOphthalmology practiceOutcome measurementsPatientsPatient careHours workRecord useOphthalmologistsClinical volumeTotal time
2018
Clinical informatics applications of medication reconciliation, decision support systems, and online portal patient-provider communications
Ohno-Machado L. Clinical informatics applications of medication reconciliation, decision support systems, and online portal patient-provider communications. Journal Of The American Medical Informatics Association 2018, 25: 1431-1431. PMID: 30380084, PMCID: PMC7646928, DOI: 10.1093/jamia/ocy150.Commentaries, Editorials and LettersMeSH KeywordsDecision Support Systems, ClinicalElectronic Health RecordsHumansMedication ReconciliationPatient PortalsSharing data from electronic health records within, across, and beyond healthcare institutions: Current trends and perspectives
Ohno-Machado L. Sharing data from electronic health records within, across, and beyond healthcare institutions: Current trends and perspectives. Journal Of The American Medical Informatics Association 2018, 25: 1113-1113. PMID: 30184157, PMCID: PMC7646901, DOI: 10.1093/jamia/ocy116.Commentaries, Editorials and LettersGenomics and electronic health record systems
Ohno-Machado L, Kim J, Gabriel R, Kuo G, Hogarth M. Genomics and electronic health record systems. Human Molecular Genetics 2018, 27: r48-r55. PMID: 29741693, PMCID: PMC5946823, DOI: 10.1093/hmg/ddy104.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsElectronic health recordsHigh-level viewElectronic health record systemsHealth record systemsNext generation systemsEHR systemsSeamless fashionOpen issuesMyriad of approachesHealth recordsRecord systemSpecific solutionsEnd goalSources of informationAnalysis of genomesInformationCustomizationSystemGeneration systemVisionDegrees of successFunctionality
2017
Education of informatics professionals and development of electronic information resources for clinicians, patients, health scientists, and study participants
Ohno-Machado L. Education of informatics professionals and development of electronic information resources for clinicians, patients, health scientists, and study participants. Journal Of The American Medical Informatics Association 2017, 24: 679-679. PMID: 28927160, PMCID: PMC7651983, DOI: 10.1093/jamia/ocx058.Commentaries, Editorials and LettersElectronic health records: usability and utilization by health care providers and patients
Ohno-Machado L. Electronic health records: usability and utilization by health care providers and patients. Journal Of The American Medical Informatics Association 2017, 24: e1-e1. PMID: 28395061, PMCID: PMC7651965, DOI: 10.1093/jamia/ocx013.Commentaries, Editorials and LettersIntegrated precision medicine: the role of electronic health records in delivering personalized treatment
Sitapati A, Kim H, Berkovich B, Marmor R, Singh S, El‐Kareh R, Clay B, Ohno‐Machado L. Integrated precision medicine: the role of electronic health records in delivering personalized treatment. WIREs Mechanisms Of Disease 2017, 9 PMID: 28207198, PMCID: PMC5400726, DOI: 10.1002/wsbm.1378.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsDecision Support Systems, ClinicalDelivery of Health Care, IntegratedElectronic Health RecordsHealth Information ExchangeHumansPrecision MedicineEnsembles of NLP Tools for Data Element Extraction from Clinical Notes.
Kuo T, Rao P, Maehara C, Doan S, Chaparro J, Day M, Farcas C, Ohno-Machado L, Hsu C. Ensembles of NLP Tools for Data Element Extraction from Clinical Notes. AMIA Annual Symposium Proceedings 2017, 2016: 1880-1889. PMID: 28269947, PMCID: PMC5333200.Peer-Reviewed Original ResearchMeSH KeywordsData CollectionElectronic Health RecordsHumansInformation Storage and RetrievalNatural Language ProcessingConceptsNatural language processingNLP toolsElectronic health recordsData elementsConcept extractionLanguage processingEnsemble methodDiverse conceptsEvaluation resultsHealth recordsElement extractionClinical notesPlausible solutionToolPipelineExtractionPerformanceEnsembleExtraction performanceConceptNarrative textProcessingText
2016
Data-driven informatics tools targeting patients and providers
Ohno-Machado L, Editor-in-Chief. Data-driven informatics tools targeting patients and providers. Journal Of The American Medical Informatics Association 2016, 23: 1039-1039. PMID: 27880716, DOI: 10.1093/jamia/ocw149.Commentaries, Editorials and LettersiCONCUR: informed consent for clinical data and bio-sample use for research
Kim H, Bell E, Kim J, Sitapati A, Ramsdell J, Farcas C, Friedman D, Feupe S, Ohno-Machado L. iCONCUR: informed consent for clinical data and bio-sample use for research. Journal Of The American Medical Informatics Association 2016, 24: 380-387. PMID: 27589942, PMCID: PMC5391727, DOI: 10.1093/jamia/ocw115.Peer-Reviewed Original ResearchMeSH KeywordsBiomedical ResearchElectronic Health RecordsFeasibility StudiesFemaleHumansInformation DisseminationInformed ConsentMalePatient PreferenceSocioeconomic FactorsConceptsPatient preferencesClinical dataHuman immunodeficiency virus clinicInternal medicine clinicElectronic health record dataHealth record dataAcademic medical centerElectronic health recordsDe-identified dataOutpatient clinicMedicine clinicFamily historyMedical CenterInformed Consent ToolClinical settingClinicHealth recordsRecord dataInformed consent systemPatientsConsent toolRecipientsConsentE-consentParticipants