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Item 2024 HRS perspective on advancing workflows for CIED remote monitoring(Elsevier, 2024-09-27) Slotwiner, David J.; Serwer, Gerald A.; Allred, James D.; Bhakta, Deepak; Clark, Richard; Durand, Julien; Ferrara, Martha G.; Hale, Jason; Irving, Chris; Iverson, Andy; Jin, Maobing; Johansen, Jens B.; Kalscheur, Matthew; Krisjnen, Dennis; Lerman, Robert; Lippman, Neal; Mendenhall, G. Stuart; Michael, Ryan; Nichols, Steven; Parkash, Ratika; Ray, Noemi; Reister, Craig; Skipitaris, Nicholas T.; Solomon, Harry; Steiner, Paul R.; Tietz, Marko; Wan, Elaine Y.; Wadhwa, Manish; Medicine, School of MedicineCardiac implantable electronic devices (CIEDs) generate substantial data, often stored in image or PDF formats. Remote monitoring, now an integral component of patient care, places considerable administrative burdens on clinicians and staff, in large part due to the challenge of integrating these data seamlessly into electronic health records. Since 2006, the Heart Rhythm Society, in collaboration with the CIED industry, has led an initiative to establish a unified standard nomenclature. This effort has harmonized terminology, aligning diverse terms with single terms approved by the Institute of Electrical and Electronics Engineers. With this foundational work complete, attention now turns to developing technical standards for interoperability, which would enable the smooth communication of CIED data between information technology systems used in clinical practice. In this article, by leveraging Health Level 7 Fast Healthcare Interoperability Resources, we present a road map for the technical committee to guide this endeavor. We identify critical data exchange points between remote transceivers, electronic health records, and third-party platforms commonly used for CIED patient data management. Our objective is to establish bidirectional communication among these resources, ensuring the accuracy, timeliness, and accessibility of clinical data for clinicians. We also anticipate substantial benefits for both clinical research and administrative efficiency through the implementation of this interoperability framework.Item Development of a FHIR Based Application Programming Interface for Aggregate-Level Social Determinants of Health(AMIA Informatics summit 2019 Conference Proceedings, 2019-03-25) Kasthurirathne, Suranga N.; Cormer, Karen F.; Devadasan, Neil; Biondich, Paul G.Item LIS Accreditation: Why and What Next?(Johns Hopkins University Press, 2022) Applegate, RachelThis article locates library and information science (LIS) program accreditation in a professional and sociological context and describes past, current, and future initiatives to ensure that accreditation standards and procedures acknowledge, assess, and support the skills, knowledge, and attitudes that LIS professionals need. The author has worked closely with Dr. Smith on the American Library Association (ALA) Committee on Accreditation.Item Professional Education for Emergency Managers(DOI: 10.2202/1547-7355.1891, 2011) Waugh, William L. Jr; Sadiq, Abdul-AkeemThe education of professional emergency managers has been the subject of workshops by the National Science Foundation and the National Academies. There is general agreement on the content of curricula, except for components related to Homeland Security. This article looks at the broad issue of professional education and the need to include information on Homeland Security.Item Towards Interoperability for Public Health Surveillance: Experiences from Two States(JMIR, 2013-04-04) Dixon, Brian E.; Siegel, Jason A.; Oemig, Tanya V.; Grannis, Shaun J.; Health Policy and Management, Richard M. Fairbanks School of Public HealthObjective: To characterize the use of standardized vocabularies in real-world electronic laboratory reporting (ELR) messages sent to public health agencies for surveillance. Introduction: The use of health information systems to electronically deliver clinical data necessary for notifiable disease surveillance is growing. For health information systems to be effective at improving population surveillance functions, semantic interoperability is necessary. Semantic interoperability is “the ability to import utterances from another computer without prior negotiation” (1). Semantic interoperability is achieved through the use of standardized vocabularies which define orthogonal concepts to represent the utterances emitted by information systems. There are standard, mature, and internationally recognized vocabularies for describing tests and results for notifiable disease reporting through ELR (2). Logical Observation Identifiers Names and Codes (LOINC) identify the specific lab test performed. Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) identify the diseases and organisms tested for in a lab test. Many commercial laboratory and hospital information systems claim to support LOINC and SNOMED CT on their company websites and in marketing materials, and systems certified for Meaningful Use are required to support LOINC and SNOMED CT. There is little empirical evidence on the use of semantic interoperability standards in practice. Methods: To characterize the use of standardized vocabularies in electronic laboratory reporting (ELR) messages sent to public health agencies for notifiable disease surveillance, we analyzed ELR messages from two states: Indiana and Wisconsin. We examined the data in the ELR messages where tests and results are reported (3). For each field, the proportion of field values that used either LOINC or SNOMED CT codes were calculated by dividing the number of fields with coded values by the total number of non-null values in fields. Results: Results are summarized in Table-1. In Indiana, less than 17% of incoming ELR messages contained a standardized code for identifying the test performed by the laboratory, and none of the test result fields contained a standardized vocabulary concept. For Wisconsin, none of the incoming ELR messages contained a standardized code for identifying the test performed, and less than 13% of the test result fields contained a SNOMED CT concept. Conclusions: Although Wisconsin and Indiana both have high adoption of advanced health information systems with many hospitals and laboratories using commercial systems which claim to support interoperability, very few ELR messages emanate from real-world systems with interoperable codes to identify tests and clinical results. To effectively use the arriving ELR messages, Indiana and Wisconsin health departments employ software and people workarounds to translate the incoming data into standardized concepts that can be utilized by the states’ surveillance systems. These workarounds present challenges for budget constrained public health departments seeking to leverage Meaningful Use Certified technologies to improve notifiable disease surveillance.