Public Health Informatics and Health Information Exchange

Magnuson, J. A.; Fu, Paul

doi:10.1007/978-1-4471-4237-9_22

Cited by 13 publications

(20 citation statements)

References 13 publications

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“…All LOINC codes end with a hyphen followed by a check digit. 19 This final digit is an integer between 0 and 9 calculated from the prior digits using a mod 10-based (Luhn) algorithm. 20,21 The purpose of the check digit is to detect and reduce transmission of typographical errors common to human data entry.…”

Section: Loinc Vocabulary and Structurementioning

confidence: 99%

Logical Observation Identifiers Names and Codes for Laboratorians

Stram

Gigliotti

Hartman

et al. 2019

Archives of Pathology &Amp; Laboratory Medicine

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Context.— The Logical Observation Identifiers Names and Codes (LOINC) system is supposed to facilitate interoperability, and it is the federally required code for exchanging laboratory data. Objective.— To provide an overview of LOINC, emerging issues related to its use, and areas relevant to the pathology laboratory, including the subtleties of test code selection and importance of mapping the correct codes to local test menus. Data Sources.— This review is based on peer-reviewed literature, federal regulations, working group reports, the LOINC database (version 2.65), experience using LOINC in the laboratory at several large health care systems, and insight from laboratory information system vendors. Conclusions.— The current LOINC database contains more than 55 000 numeric codes specific for laboratory tests. Each record in the LOINC database includes 6 major axes/parts for the unique specification of each individual observation or measurement. Assigning LOINC codes to a laboratory's test menu should be a defined process. In some cases, LOINC can aid in distinguishing laboratory data among different information systems, whereby such benefits are not achievable by relying on the laboratory test name alone. Criticisms of LOINC include the complexity and resource-intensive process of selecting the most correct code for each laboratory test, the real-world experience that these codes are not uniformly assigned across laboratories, and that 2 tests that may have the same appropriately assigned LOINC code may not necessarily have equivalency to permit interoperability of their result data. The coding system's limitations, which subsequently reduce the potential utility of LOINC, are poorly understood outside of the laboratory.

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Section: Loinc Vocabulary and Structurementioning

confidence: 99%

Logical Observation Identifiers Names and Codes for Laboratorians

Stram

Gigliotti

Hartman

et al. 2019

Archives of Pathology &Amp; Laboratory Medicine

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“…Human factors have been identified as a key aspect of effective design and use of not only general types of health information systems and technologies but also emerging systems such as public health surveillance systems [9]. Such systems are being developed to integrate information from multiple sources including information about prior disease cases with EHR data and new incoming data about specific client cases and epidemic spread.…”

Section: Human Factors Issuesmentioning

confidence: 99%

“…Patient-centred HIT in hospital settings is more researched, easily implemented and evaluated in comparison to the introduction of those HIT currently used to support treatment and management of patient-centred approaches towards the management of new/ emerging diseases [9]. Emerging diseases are not typically encountered by technology designers and HIT professionals.…”

Section: Introductionmentioning

confidence: 99%

Patient-Centred Coordinated Care in Times of Emerging Diseases and Epidemics

Borycki

Cummings²,

Dexheimer³

et al. 2015

Yearb Med Inform

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SummaryObjectives: In this paper the researchers describe how existing health information technologies (HIT) can be repurposed and new technologies can be innovated to provide patient-centered care to individuals affected by new and emerging diseases. Methods: The researchers conducted a focused review of the published literature describing how HIT can be used to support safe, patient-centred, coordinated care to patients who are affected by Ebola (an emerging disease). Results: New and emerging diseases present opportunities for repurposing existing technologies and for stimulating the development of new HIT innovation. Innovative technologies may be developed such as new software used for tracking patients during new or emerging disease outbreaks or by repurposing and extending existing technologies so they can be used to support patients, families and health professionals who may have been exposed to a disease. The paper describes the development of new technologies and the repurposing and extension of existing ones (such as electronic health records) using the most recent outbreak of Ebola as an example.

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“…In the second edition of Public Health Informatics and Information Systems, Magnuson and Fu [ 28 ] provide a comprehensive look at public health informatics in areas beyond surveillance.…”

Section: Public Health Biosurveillance Systemsmentioning

confidence: 99%

Public and Personal Health Testing Systems

Collen¹,

Lehmann

2015

Health Informatics

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The explicit relationship between the clinical environment and public health dates from the 1878 Act of Congress, which authorized the U.S. Public Health Service to collect morbidity reports for quarantinable diseases. In the 1970s, hospital infection surveillance programs began to employ computer databases; in the 1980s, state health departments developed computer-based systems to monitor communicable diseases. Subsequent developments of databases and techniques such as data mining improved detection and facilitated alerts; compliance with reporting accelerated once direct connections were instituted between clinical laboratories and public health agencies. Personal health testing systems (HTS) also evolved, with the use of multiple tests in what became known as multiphasic screening. By 1965, Kaiser Permanente was using automated multiphasic health testing (AMHT) systems in two clinics in Northern California to provide systemized personal health checkups, including features described later as clinical decision support. By the early 1970s, AMHT systems had spread into many health care facilities, for a range of uses that included pre-admission screening of hospital patients and online records of outpatient encounters, both nationally and internationally. In the 1980s funding and reimbursement issues led to the termination of most AMHT programs; at Kaiser Permanente, AMHT was integrated into its larger systems. Since 2001, the CDC has funded the development of real time surveillance systems that take daily Health Level 7 feeds directly from clinical information systems as part of syndromic surveillance, a criterion in CDC's meaningful use program.

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Public Health Informatics and Health Information Exchange

Cited by 13 publications

References 13 publications

Logical Observation Identifiers Names and Codes for Laboratorians

Logical Observation Identifiers Names and Codes for Laboratorians

Patient-Centred Coordinated Care in Times of Emerging Diseases and Epidemics

Public and Personal Health Testing Systems

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