De - identification JAMIA Focus on Medical Record
نویسندگان
چکیده
J Am Med Inform Assoc. 2007;14:550–563. DOI 10.1197/jamia.M2444.
منابع مشابه
De-identification of Patient Notes with Recurrent Neural Networks
Objective Patient notes in electronic health records (EHRs) may contain critical information for medical investigations. However, the vast majority of medical investigators can only access de-identified notes, in order to protect the confidentiality of patients. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) defines 18 types of protected health information...
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Electronic clinical documentation can be useful for activities such as public health surveillance, quality improvement, and research, but existing methods of de-identification may not provide sufficient protection of patient data. The general-purpose natural language processor MedLEE retains medical concepts while excluding the remaining text so, in addition to processing text into structured d...
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Institutions all want electronic medical record (EMR) systems. They want them to solve their record movement problems, to improve the quality and coherence of the care process, to automate guidelines and care pathways to assist clinical research, outcomes management, and process improvement. EMRs are very difficult to construct because the existing electronic data sources, e.g., laboratory syst...
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BACKGROUND Arizona Medicaid developed a Health Information Exchange (HIE) system called the Arizona Medical Information Exchange (AMIE). OBJECTIVE To evaluate physicians' perceptions regarding AMIE's impact on health outcomes and healthcare costs. MEASUREMENTS A focus-group guide was developed and included five domains: perceived impact of AMIE on (1) quality of care; (2) workflow and effic...
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OBJECTIVE The Health Insurance Portability and Accountability Act Privacy Rule enables healthcare organizations to share de-identified data via two routes. They can either 1) show re-identification risk is small (e.g., via a formal model, such as k-anonymity) with respect to an anticipated recipient or 2) apply a rule-based policy (i.e., Safe Harbor) that enumerates attributes to be altered (e....
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