Optimizing the data in direct access testing: information technology to support an emerging care model.
Direct access testing (DAT) is an emerging care model that provides on-demand laboratory services for certain preventative, diagnostic, and monitoring indications. Unlike conventional testing models where health care providers order tests and where sample collection is performed onsite at the clinic...
| Publicado en: | Critical Reviews in Clinical Laboratory Sciences Vol. 61; no. 2; pp. 127 - 140 |
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| Autores principales: | , , , , |
| Formato: | glossary review tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Mar2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=175637461&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175637461 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10408363 1AV jtl: Critical Reviews in Clinical Laboratory Sciences issn: 10408363 maglogo: Y pubinfo: dt: Mar2024 vid: 61 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 175637461 172795645 175637461 175637461 10.1080/10408363.2023.2258973 175637461 ppf: 127 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Optimizing the data in direct access testing: information technology to support an emerging care model. aug: au: Stoffel, Michelle Beal, Stacy G. Ibrahim, Khalda A. Rummel, Michael Greene, Dina N. affil: Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA sug: subj: Data Management Direct Access United States Health Informatics Consumers Clinical Laboratories Health Facilities United States Autonomy Decision Support Systems, Clinical Consumer Satisfaction Electronic Data Interchange Cost Savings ab: Direct access testing (DAT) is an emerging care model that provides on-demand laboratory services for certain preventative, diagnostic, and monitoring indications. Unlike conventional testing models where health care providers order tests and where sample collection is performed onsite at the clinic or laboratory, most interactions between DAT consumers and the laboratory are virtual. Tests are ordered and results delivered online, and specimens are frequently self-collected at home with virtual support. Thus, DAT depends on high-quality information technology (IT) tools and optimized data utilization to a greater degree than conventional laboratory testing. This review critically discusses the United States DAT landscape in relation to IT to highlight digital challenges and opportunities for consumers, health care systems, providers, and laboratories. DAT offers consumers increased autonomy over the testing experience, cost, and data sharing, but the current capacity to integrate DAT as a care option into the conventional patient-provider model is lacking and will require innovative approaches to accommodate. Likewise, both consumers and health care providers need transparent information about the quality of DAT laboratories and clinical decision support to optimize appropriate use of DAT as a part of comprehensive care. Interoperability barriers will require intentional approaches to integrating DAT-derived data into the electronic health records of health systems nationally. This includes ensuring the laboratory results are appropriately captured for downstream data analytic pipelines that are used to satisfy population health and research needs. Despite the data- and IT-related challenges for widespread incorporation of DAT into routine health care, DAT has the potential to improve health equity by providing versatile, discreet, and affordable testing options for patients who have been marginalized by the current limitations of health care delivery in the United States. pubtype: Academic Journal doctype: glossary review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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