2025
Cancer care for adolescents and young adults under the age of 50 in Saudi Arabia: policy review, research gaps, and future directions
Alessy S, Alghamdi M, Al-Bawardy B, Alghamdi S, Al-Hamoudi W, Alomaim W, Abaalkhail F, Alqarni A, Alsharm A, Alqurashi Y, Bokhary M, Alqahtani S. Cancer care for adolescents and young adults under the age of 50 in Saudi Arabia: policy review, research gaps, and future directions. EClinicalMedicine 2025, 103188. DOI: 10.1016/j.eclinm.2025.103188.Peer-Reviewed Original ResearchCancer incidence ratesPatient-centred careIncreasing cancer incidence ratesPublic health challengeYoung adultsSurvivorship carePsychological Well-BeingCancer carePsychosocial needsCare providersCancer ratesYears of ageHealthcare institutionsHealth challengesIncidence rateAYACareSaudi ArabiaUnified treatment protocolRisk factorsPolicy developmentPolicy reviewResearch initiativesTargeted researchAdultsAddressing challenges and barriers to rural Veteran participation in clinical research within the Veterans Affairs healthcare system
Johnson M, Asghar A, Beck D, Kyriakides T, Vincenti M, Huang G. Addressing challenges and barriers to rural Veteran participation in clinical research within the Veterans Affairs healthcare system. Contemporary Clinical Trials Communications 2025, 45: 101466. PMID: 40241933, PMCID: PMC12002789, DOI: 10.1016/j.conctc.2025.101466.Peer-Reviewed Original ResearchCooperative Studies ProgramHealthcare systemIntegrated health care systemVA Cooperative Studies ProgramVeterans Affairs Healthcare SystemLack of organizational supportVA healthcare systemClinical researchMedical facilitiesHealth care systemEnrollment of study participantsClinical research staffClinical research infrastructureExecution of clinical researchProviding careCare systemRural settingsVeteran participantsHealthcare institutionsResearch staffStudy participantsRural populationOrganizational supportVeteransVAMC
2024
Predicting positive Clostridioides difficile test results using large-scale longitudinal data of demographics and medication history
Pham A, El-Kareh R, Myers F, Ohno-Machado L, Kuo T. Predicting positive Clostridioides difficile test results using large-scale longitudinal data of demographics and medication history. Heliyon 2024, 11: e41350. PMID: 39958729, PMCID: PMC11825254, DOI: 10.1016/j.heliyon.2024.e41350.Peer-Reviewed Original ResearchArea under the receiver operating characteristic curveMedical historyClostridioides difficile</i> infectionMonths of medical historyPatient's chancesData of demographicsReceiver operating characteristic curveLogistic regression modelsHealth patientsModerate sample sizesPregnant womenHealthcare institutionsClostridioides difficile</i>Antibiotic useOdds ratioNegative casesLarge-scale longitudinal dataFinancial incentivesPositive testLogistic regressionPatientsIncreased susceptibilityCharacteristic curveRegression modelsSignificant covariatesAdaptation of the socioecological model to address disparities in engagement of Black men in prostate cancer genetic testing
Leader A, Rebbeck T, Oh W, Patel A, Winer E, Bailey L, Gomella L, Lumpkins C, Garraway I, Aiello L, Baskin M, Cheng H, Cooney K, Ganzak A, George D, Halabi S, Hathaway F, Healy C, Kim J, Leapman M, Loeb S, Maxwell K, McNair C, Morgan T, Prindeville B, Soule H, Steward W, Suttiratana S, Taplin M, Yamoah K, Fortune T, Bennett K, Blanding-Godbolt J, Gross L, Giri V. Adaptation of the socioecological model to address disparities in engagement of Black men in prostate cancer genetic testing. BMC Public Health 2024, 24: 2533. PMID: 39289635, PMCID: PMC11409532, DOI: 10.1186/s12889-024-20008-8.Peer-Reviewed Original ResearchConceptsSocioecological modelGermline testingHealthcare institutionsCancer genetic testingHereditary cancer implicationsEquity frameworkBlack malesCancer screeningReduce disparitiesBackgroundBlack menCommunity liaisonCommunity stakeholdersMixed-methods approachOvercome barriersImprovement PartnershipCommunity eventsCascade testingModified Delphi modelRate of prostate cancerGenetic testingCancer implicationsEducation programsBlack menEquitable strategiesIncreased engagementFedFSA: Hybrid and federated framework for functional status ascertainment across institutions
Fu S, Jia H, Vassilaki M, Keloth V, Dang Y, Zhou Y, Garg M, Petersen R, St Sauver J, Moon S, Wang L, Wen A, Li F, Xu H, Tao C, Fan J, Liu H, Sohn S. FedFSA: Hybrid and federated framework for functional status ascertainment across institutions. Journal Of Biomedical Informatics 2024, 152: 104623. PMID: 38458578, PMCID: PMC11005095, DOI: 10.1016/j.jbi.2024.104623.Peer-Reviewed Original ResearchNatural language processingElectronic health recordsStatus informationInformation extractionFunctional status informationRule-based information extractionFederated learning frameworkPrivate local dataNatural language processing frameworkHealthcare sitesPatient's functional statusMultiple healthcare institutionsFederated LearningPyTorch libraryConcept normalizationBERT modelLearning frameworkCollaborative development effortsCorpus annotationLanguage processingHealthcare institutionsFunctional statusPredictor of health outcomesActivities of daily livingNatural language processing performance
2023
Paths Forward for Clinicians Amidst the Rise of Unregulated Clinical Decision Support Software: Our Perspective on NarxCare
Buonora M, Axson S, Cohen S, Becker W. Paths Forward for Clinicians Amidst the Rise of Unregulated Clinical Decision Support Software: Our Perspective on NarxCare. Journal Of General Internal Medicine 2023, 39: 858-862. PMID: 37962733, PMCID: PMC11043299, DOI: 10.1007/s11606-023-08528-2.Peer-Reviewed Original ResearchClinical decision support toolClinical decision support softwareHealthcare institutionsOpioid prescribingOverdose epidemicPatient encountersIndividual cliniciansPatient careProprietary formulaRigorous external validationCliniciansWider implementationExternal validationPrescribingPotential harmSufficient evidencePublic healthDecision support softwareDecision support toolSpecific actionsMortalityCareArtificial intelligence for healthcare in Africa: a scientometric analysis
Njei B, Kanmounye U, Mohamed M, Forjindam A, Ndemazie N, Adenusi A, Egboh S, Chukwudike E, Monteiro J, Berzin T, Asombang A. Artificial intelligence for healthcare in Africa: a scientometric analysis. Health And Technology 2023, 13: 947-955. DOI: 10.1007/s12553-023-00786-8.Peer-Reviewed Original ResearchScientometric analysisDeep learning neural networkState-of-the-artAdaptive neuro-fuzzy inference systemNeuro-fuzzy inference systemResearch of AIState-of-the-art researchNeural networkAI adoptionInference systemArtificial intelligenceMedical imagesAI toolsSocial network analysisIntroductionArtificial intelligenceTransform healthcareRelational networksE-algorithmAIIntelligenceNetworkHealthcare ResearchAfrican health systemAfrican healthcare systemHealthcare institutionsDo Primary Healthcare Facilities in More Remote Areas Provide More Medical Services? Spatial Evidence from Rural Western China
Shen C, Lai S, Deng Q, Dong W, Cao D, Zhao D, Zhao Y, Zhou Z, Chen X. Do Primary Healthcare Facilities in More Remote Areas Provide More Medical Services? Spatial Evidence from Rural Western China. Health & Social Care In The Community 2023, 2023: 1-14. DOI: 10.1155/2023/6131486.Peer-Reviewed Original ResearchPrimary healthcare institutionsMedical servicesMore medical servicesMedical service utilizationPrimary healthcare facilitiesLocal county hospitalLack of evidenceInpatient visitsOutpatient visitsRural western ChinaMedical visitsCounty HospitalService utilizationOutpatient servicesPrimary healthcareHealthcare centersOne-hour increaseHealthcare facilitiesVisitsMultilevel linear modelsMedical service provisionHealth policymakingHealthcare institutionsDifferential patternsRemote areas
2022
Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts
Kuo T, Pham A. Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts. International Journal Of Medical Informatics 2022, 169: 104924. PMID: 36402113, PMCID: PMC9984225, DOI: 10.1016/j.ijmedinf.2022.104924.Peer-Reviewed Original ResearchConceptsSmart contractsPrivacy-preserving modelHierarchical learning algorithmBlockchain smart contractsProtect patient privacyLearning algorithmsNetwork of networksConsensus protocolModeling processPatient privacyQuorum mechanismHierarchical networkAvailability issuesNetworkPrediction correctnessIterative phasesPrediction modelPrivacyImmutabilityCapabilityHealthcare institutionsAlgorithmDatasetIterationLearning continuityCreating a Process for the Implementation of Tiered Huddles in a Veterans Affairs Medical Center
Merchant NB, O'Neal J, Montoya A, Cox GR, Murray JS. Creating a Process for the Implementation of Tiered Huddles in a Veterans Affairs Medical Center. Military Medicine 2022, 188: 901-906. PMID: 35312000, PMCID: PMC9383570, DOI: 10.1093/milmed/usac073.Peer-Reviewed Original ResearchConceptsHealth AdministrationPatient careVeterans Affairs Medical CenterVeterans Health AdministrationHealthcare systemNon-clinical staffHigh-quality patient careQuality patient careCare coordinationFrontline staffMedical CenterLack of responsivenessPatient safetySubsequent outcomesHealthcare organizationsShift hoursTimely identificationCoronavirus testingStaffing levelsEquipment concernsCurrent literatureHealthcare institutionsCarePilot testingPilot service
2021
Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption
Froelicher D, Troncoso-Pastoriza J, Raisaro J, Cuendet M, Sousa J, Cho H, Berger B, Fellay J, Hubaux J. Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption. Nature Communications 2021, 12: 5910. PMID: 34635645, PMCID: PMC8505638, DOI: 10.1038/s41467-021-25972-y.Peer-Reviewed Original ResearchConceptsMultiparty homomorphic encryptionHomomorphic encryptionPrivacy-preserving analysisNecessary key stepMultiple healthcare institutionsFederated analyticsFederated settingAnalysis tasksAnalytics systemIntermediate dataEncryptionCentralized studiesPatient dataBiomedical insightsScientific collaborationAccurate resultsIndispensable complementAnalyticsHealthcare institutionsDatasetTaskSystemBiomedical researchAccessCollaboration
2020
Management of healthcare personnel living with hepatitis B, hepatitis C, or human immunodeficiency virus in US healthcare institutions
Henderson DK, Dembry LM, Sifri CD, Palmore TN, Dellinger EP, Yokoe DS, Grady C, Heller T, Weber D, del Rio C, Fishman NO, Deloney VM, Lundstrom T, Babcock HM. Management of healthcare personnel living with hepatitis B, hepatitis C, or human immunodeficiency virus in US healthcare institutions. Infection Control And Hospital Epidemiology 2020, 43: 147-155. PMID: 33050959, DOI: 10.1017/ice.2020.458.Peer-Reviewed Original Research
2018
Sharing 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 Letters
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