Notifiable diseases interoperable framework toward improving Iran public health surveillance system: Lessons learned from COVID‑19 pandemic
نویسندگان
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2 Assistant Professor of Health Information Management, Department of Health Information Technology, Abadan Faculty of Medical Sciences, Abadan, Iran, Assistant Professor of Health Information Management, Student Research Committee, Abadan Faculty of Medical Sciences, Abadan, Iran
3 MSc of epidmiology, Department of public Health, Abadan Faculity of Medical Sciences, Abadan, Iran
4 MSc of epidmiology, Department of public Health, Abadan Faculity of Medical Sciences, Abadan, Iran
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چکیده
BACKGROUND: Direct transmission of notifiable disease information in a real‑time and reliable wayto public health decision‑makers is imperative for early identification of epidemiological trends as wellas proper response to potential pandemic like ongoing coronavirus disease 2019 crisis. Thus, thisresearch aimed to develop of semantic‑sharing and collaborative‑modeling to meet the informationexchange requirements of Iran’s notifiable diseases surveillance system.MATERIALS AND METHODS: First, the Iran’s Notifiable diseases Minimum Data Set (INMDS)was determined according to a literature review coupled with agreements of experts. Then theINMDS was mapped to international terminologies and classification systems, and the Health Levelseven‑Clinical Document Architecture (HL7‑CDA) standard was leveraged to define the exchangeableand machine‑readable data formats.RESULTS: A core dataset consisting of 15 classes and 96 data fields was defined. Dataelements and response values were mapped to Systematized Nomenclature of Medicine‑ClinicalTerms (SNOMED‑CT) reference terminology. Then HL7‑CDA standard for interoperable dataexchange were defined.CONCLUSION: The notifiable disease surveillance requires an integrative participation ofmultidisciplinary team. In this field, data interoperability is more essential due to the heterogeneousnature of health information systems. Developing of INMDS based on HL7‑CDA along withSNOMED‑CT codes offers an inclusive and interoperable dataset that can help make notifiablediseases data more comparable and reportable across studies and organizations. The proposeddata model will be further modifications in the future according probable changes in Iran’s notifiablediseases list.
