A Medical Data Reliability Assessment Model
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Redalyc
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| Format: | Artículo científico |
| Langue: | en |
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Universidad de Talca
2009
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| _version_ | 1876469256749580288 |
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| author | Bandar Alhaqbani |
| author_facet | Bandar Alhaqbani |
| contents | A Medical Data Reliability Assessment Model Bandar Alhaqbani Audun Jøsang Colin Fidge Multidisciplinaria (Ciencias Naturales y Exactas) reputation reliability trustworthiness subjective logic Electronic Health Records There is currently a strong focus worldwide on the potential of large-scale Electronic Health Record (EHR) systems to cut costs and improve patient outcomes through increased efficiency. This is accomplished by aggregating medical data from isolated Electronic Medical Record databases maintained by different healthcare providers. Concerns about the privacy and reliability of Electronic Health Records are crucial to healthcare service consumers. Traditional security mechanisms are designed to satisfy confidentiality, integrity, and availability requirements, but they fail to provide a measurement tool for data reliability from a data entry perspective. In this paper, we introduce a Medical Data Reliability Assessment (MDRA) service model to assess the reliability of medical data by evaluating the trustworthiness of its sources, usually the healthcare provider which created the data and the medical practitioner who diagnosed the patient and authorised entry of this data into the patient´s medical record. The result is then expressed by manipulating health record metadata to alert medical practitioners relying on the information to possible reliability problems. 2009 artículo científico 0718-1876 https://www.redalyc.org/articulo.oa?id=96511356006 en http://www.redalyc.org/revista.oa?id=965 Journal of Theoretical and Applied Electronic Commerce Research application/pdf Universidad de Talca Journal of Theoretical and Applied Electronic Commerce Research (Chile) Num.2 Vol.4 |
| format | Artículo científico |
| id | redalyc_96511356006 |
| institution | Redalyc |
| language | en |
| publishDate | 2009 |
| publisher | Universidad de Talca |
| spellingShingle | A Medical Data Reliability Assessment Model Bandar Alhaqbani Multidisciplinaria (Ciencias Naturales y Exactas) reputation reliability trustworthiness subjective logic Electronic Health Records A Medical Data Reliability Assessment Model Bandar Alhaqbani Audun Jøsang Colin Fidge Multidisciplinaria (Ciencias Naturales y Exactas) reputation reliability trustworthiness subjective logic Electronic Health Records There is currently a strong focus worldwide on the potential of large-scale Electronic Health Record (EHR) systems to cut costs and improve patient outcomes through increased efficiency. This is accomplished by aggregating medical data from isolated Electronic Medical Record databases maintained by different healthcare providers. Concerns about the privacy and reliability of Electronic Health Records are crucial to healthcare service consumers. Traditional security mechanisms are designed to satisfy confidentiality, integrity, and availability requirements, but they fail to provide a measurement tool for data reliability from a data entry perspective. In this paper, we introduce a Medical Data Reliability Assessment (MDRA) service model to assess the reliability of medical data by evaluating the trustworthiness of its sources, usually the healthcare provider which created the data and the medical practitioner who diagnosed the patient and authorised entry of this data into the patient´s medical record. The result is then expressed by manipulating health record metadata to alert medical practitioners relying on the information to possible reliability problems. 2009 artículo científico 0718-1876 https://www.redalyc.org/articulo.oa?id=96511356006 en http://www.redalyc.org/revista.oa?id=965 Journal of Theoretical and Applied Electronic Commerce Research application/pdf Universidad de Talca Journal of Theoretical and Applied Electronic Commerce Research (Chile) Num.2 Vol.4 |
| title | A Medical Data Reliability Assessment Model |
| topic | Multidisciplinaria (Ciencias Naturales y Exactas) reputation reliability trustworthiness subjective logic Electronic Health Records |
| url | https://www.redalyc.org/articulo.oa?id=96511356006 |