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In the context of medical data, anonymized data refers to data from which the patient cannot be identified by the recipient of the information. The name, address, and full postcode must be removed, together with any other information which, in conjunction with other data held by or disclosed to the recipient, could identify the patient.
The U.S. Department of Education has provided guidance about data discourse and identification, instructing educational institutions to be sensitive to the risk of re-identification of anonymous data by cross-referencing with auxiliary data, to minimize the amount of data in the public domain by decreasing publication of directory information ...
k-anonymity is an attempt to solve the problem "Given person-specific field-structured data, produce a release of the data with scientific guarantees that the individuals who are the subjects of the data cannot be re-identified while the data remain practically useful."
Individual participant data (also known as individual patient data, often abbreviated IPD) is raw data from individual participants, and is often used in the context of meta-analysis. The International Committee of Medical Journal Editors (ICMJE) has stated that sharing of deidentified individual participant data is an ethical obligation.
These are indeed very important for the future of patient care, but their knowledge must consist of more when they begin to practice. Evidence-based nursing in an attempt to facilitate the management of the growing literature and technology accessible to healthcare providers that can potentially improve patient care and their outcomes. [6]
The pseudonym allows tracking back of data to its origins, which distinguishes pseudonymization from anonymization, [9] where all person-related data that could allow backtracking has been purged. Pseudonymization is an issue in, for example, patient-related data that has to be passed on securely between clinical centers.
care.data was a programme announced by the then Health and Social Care Information Centre in spring 2013. It aimed to extract data from GP surgeries into a central database through the General Practice Extraction Service (GPES). Members of the English population who were registered with GP practices were informed that data on their health would ...
Some of the problems tackled by CRI are: creation of data warehouses of health care data that can be used for research, support of data collection in clinical trials by the use of electronic data capture systems, streamlining ethical approvals and renewals (in US the responsible entity is the local institutional review board), maintenance of ...