a prompt response during pandemics and peacetime by integrating clinical information to OMOPCDM Scan QR to download the abstract or link to poster repository etc INTRO It is difficult to collect comprehensive clinical characteristics of infected patients as in the curre ID: 1045077
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1. PHAROS platform will support a prompt response during pandemics and peacetime by integrating clinical information to OMOP-CDMScan QR to download the abstract or link to poster repository etc.INTRO It is difficult to collect comprehensive clinical characteristics of infected patients as in the current infectious disease reporting system.We initiate a new project for developing an integrated infectious disease data managing system based on OMOP-CDM in Republic of Korea, named “PHAROS”.METHODSInfectiuos disease CDM networkInformation Management SystemThe PHAROS system can access infectious disease patient data in two different ways in peacetime and pandemic.PHAROSPlatform for Harmonizing and Accessing Data in Real-time on Infectious Disease Surveillance Based on OMOP-CDM in KoreaPRESENTER: Chungsoo KimChungsoo Kim1, Jimyung Park1, Byungjin Choi2, Junhyuk Chang1, Seongwon Lee2, Rae Woong Park1, 21Department of Biomedical Sciences, Ajou University Graduate School of Medicine2Department of Biomedical Informatics, Ajou University School of MedicinePHAROS - Integrated infectious disease clinical information management systemPlatform for Harmonizing and Accessing data in Real-time On infectious disease SurveillancePHAROS systemPlatform for Harmonizing and Accessing data in Real-time On infectious disease SurveillanceEstablishment of CDM specialized for infectious diseasesInfectious disease syndromic surveillance using OMOP-CDMChange in infection symptoms Legal communicable diseasesPrecision monitoring using NLPOMOP-CDMData standardization (vocabulary mapping / data modeling)Data integrationPatient consent or applicable lawInfectious disease management using real-time clinical data“No requirement of individual data input and curation”“Sufficient patient information for practical use”“Support fast decision-making with reliable data”Analytic apps for infectious diseasePromotion Strategy∙ Expert advisory group ∙ Steering committee∙ Promotion and seminar ∙ Expanding of institutionsNLP moduleGIS moduleBayesian statistical modelingClinical information dashboard Prediction modelingApplicationsUtilizing the current DRN platformsCollaboration with other CDM platform for infectious disease surveillance and researchDifferentiationExtractTransformLoadExtractTransformLoadExtractTransformLoadExtractTransformLoadCDM Daily conversionIT companyData PartnerOMOP-CDMOMOP-CDMOMOP-CDMOrganizerData PartnerData PartnerIn PandemicIn Usual Data-driven infectious disease response system3. Applications4. Collaborative oppoprtunitiesWe are open to collaborating with anyone who is interested in the data standardization and utilization of infectious diseasesPlease contact us via rwpark99@gmail.com (Prof. Rae Woong Park)RESULTSAwarded EUR $2 million contract for3 years form the Ministry of Health & Welfare, Republic of KoreaFifty researchers are participating and developing our platform for this projectFUNDINGSThis research was supported by a grant of the project for Infectious Disease Medical Safety, funded by the Ministry of Health, Republic of Korea (grant number: HG22C0024).This work was supported by the Bio Industrial Strategic Technology Development Program (20003883, 20005021) funded By the Ministry of Trade, Industry & Energy (MOTIE, Korea), and a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute, funded by the Ministry of Health & Welfare, Republic of Korea (grant number: HR16C0001).PeacetimeMedical staffsPolicy makersUserRequestStatisticsPHAROS platformQueryQueryQueryQueryApprovalNear Real-time ETL technology (Daily)Lab tests specialized to the infectious diseaseSign and symptoms, Diagnosis,Medication, Procedure, ObservationFour Tertiary Hospitals in South Korea OMOP-CDMRisk percentileRisk stratification경기1546(+10)서울1600(+8)경북1401(+2)세종50(0)인천383(0)강원74(+2)충북73(0)대전166(0)전북39(0)충남190(+1)대구6940(+1)울산59(0)부산171(0)경남159(0)광주204(0)전남38(0)제주26(0)A. Geographic InformationB. Time-series analyticsD. Named Entity RecognitionC. Data proflilingE. Predictive modelingAUMCCDMSNUBHCDMCMCCDMAMCCDMPHAROS PlatformPandemicSystemDBInfectious DiseaseCDMProxy ServerCDMETL moduleUser PortalGISInfectious DiseaseCDMChartStatisticsUser managementPermissionmanagementResult datamanagementAdminAWSAnalyticsBy patient consent or related laws in KoreaPatient-centric data acquisition