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D

David Schwartz

Bar-Ilan University - Faculty of Social Sciences · Bar-Ilan University

H-index: 27 · Citations: 2773 · Papers: —

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Matched Keywords

decision making

Research Areas (CRIS Fingerprint)

Opioid OverdoseLaypeopleSmartphone AppNaloxoneEmergency ResponseEmergency Medical ServicesSmartphone-basedLay ResponderPhiladelphiaNaloxone AdministrationSmartphoneDesign Science ResearchSmartphone ApplicationOpioid UseAnaphylaxisResponse NetworkEmpowering CommunitiesCustomer Relationship ManagementMaturity StageMaturity ModelCustomer CommunityTwitterSocial CRMPeople Who Use DrugsCommunity ResponseUsability ProblemsSocial ConsumersHuman-centered Machine LearningWearable SensorsPhysician AttitudesDrug ShortageProof of Concept StudyPhysiological ChangesProspective Observational StudyGood SamaritanMotivationArtificial IntelligenceHospital SettingPatient PerspectiveHuman IntelligenceReciprocal LearningEuropean HospitalGraphical TechniqueKnowledge ContributionMHealthPatient Length of StayEmergency DepartmentSystematic Meta-analysisLength of StayIn-hospital MortalityMobile PhonesConsumersDecision MakingInformation SystemsVolunteeringReaction TimeIsraelMHealthKnowledge ManagementInformation NeedsCase StudyThematic AnalysisCommunity-BasedCanadaInformation TechnologyComputer ScienceSurvey AnalysisIn-Depth InterviewDigitization

Publications (264 linked — showing top 20)

Examining the Relationship Between Legislation and Web Accessibility Compliance: From Theory to Practice2026

A hybrid mixed methods design of qualitative enhancement and reciprocal feedback loop for augmented text classification2025

Defining terminology and outcome measures for evaluating overdose response technology: An international Delphi study2025

Human–AI Enhancement of Cyber Threat Intelligence2025

Meeting People Where They Are: Building Community-Centered Care with Smartphone-Facilitated Response to Overdoses2025

Evaluating the effectiveness of a sliding window technique in machine learning models for mortality prediction in ICU cardiac arrest patients2024

Apps don't work for patients who don't use them: Towards frameworks for digital therapeutics adherence2024

AI for Knowledge Creation, Curation, and Consumption in Context2024

Predictive Dispatch of Volunteer First Responders: Algorithm Development and Validation2023

Reciprocal Human Machine Learning (RHML): Human-AI Collaboration Based on Theories of Dyadic Learning2023

The Association between Emergency Department Length of Stay and In-Hospital Mortality in Older Patients Using Machine Learning: An Observational Cohort Study2023

The Future Impact of AI on Academic Journals and the Editorial Process2023

Instademic: Deriving spatiotemporal contact networks from tagged social media images or We don’t care where you are, just who you were with2023

Length-of-Stay in the Emergency Department and In-Hospital Mortality: A Systematic Review and Meta-Analysis2022

Physicians' attitudes towards smartphone-based emergency response communities for anaphylaxis: Survey2022

Wearable biosensors have the potential to monitor physiological changes associated with opioid overdose among people who use drugs: A proof-of-concept study in a real-world setting2021

The Design of Reciprocal Learning between Human and Artificial Intelligence2021

Decision-making by laypersons equipped with an emergency response smartphone app for opioid overdose2021

Patients perspectives on drug shortages in six European hospital settings – a cross sectional study2021

UnityPhilly: Experiences with a Smartphone App that Facilitates Community Response to Opioid Overdoses2021