A nursing information model process for interoperability
| Autor: | Ann O'Brien, Donna DuLong, Murielle S. Beene, Patricia Greim, Tim Cromwell, Marilyn P. Chow, Diane Bedecarré |
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| Rok vydání: | 2015 |
| Předmět: |
Knowledge management
Quality Assurance Health Care Standardization Nursing Records business.industry media_common.quotation_subject Nursing research Interoperability Common Information Model (computing) Health Informatics Evidence-Based Nursing Models Theoretical Semantic interoperability Systems Integration Nursing Research InformationSystems_GENERAL Nursing care Nursing Information model Nursing Informatics Electronic Health Records Medicine Quality (business) business media_common |
| Zdroj: | Journal of the American Medical Informatics Association. 22:608-614 |
| ISSN: | 1527-974X 1067-5027 |
| Popis: | The ability to share nursing data across organizations and electronic health records is a key component of improving care coordination and quality outcomes. Currently, substantial organizational and technical barriers limit the ability to share and compare essential patient data that inform nursing care. Nursing leaders at Kaiser Permanente and the U.S. Department of Veterans Affairs collaborated on the development of an evidence-based information model driven by nursing practice to enable data capture, re-use, and sharing between organizations and disparate electronic health records. This article describes a framework with repeatable steps and processes to enable the semantic interoperability of relevant and contextual nursing data. Hospital-acquired pressure ulcer prevention was selected as the prototype nurse-sensitive quality measure to develop and test the model. In a Health 2.0 Developer Challenge program from the Office of the National Coordinator for Health, mobile applications implemented the model to help nurses assess the risk of hospital-acquired pressure ulcers and reduce their severity. The common information model can be applied to other nurse-sensitive measures to enable data standardization supporting patient transitions between care settings, quality reporting, and research. |
| Databáze: | OpenAIRE |
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