4.6 Article

Privacy-Aware Retrieval of Electronic Medical Records by Fuzzy Keyword Search

Journal

Publisher

KOREA INFORMATION PROCESSING SOC
DOI: 10.22967/HCIS.2022.12.041

Keywords

Electronic Medical Records Retrieval; Fuzzy Keywords Search; Privacy Protection; Simhash

Funding

  1. Natural Science Foundation of Zhejiang Province [LQ21F020021]
  2. Hangzhou Normal University [2020QD2035]

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With the rapid development of information technology, the application of information systems in the healthcare field has become significant for the clinical management of hospitals and patient information sharing. Electronic medical records have emerged as an important part of hospital information construction. However, the generation of a large number of electronic medical records has led to the problem of information overload and the need for privacy preservation. In this paper, a privacy-aware retrieval approach using fuzzy keyword search and Simhash technology is proposed to address these issues.
With the rapid development of information technology, the application of information systems has gradually penetrated into all levels of the healthcare field, which has great significance to the clinical management of hospitals and patient information sharing. The electronic medical records emerged in this situation and have become an important part of the hospital's information construction. The electronic medical record is a health and medical electronic file for patients, which includes patients' common information and some medical activities such as examination, diagnosis, and treatment. Therefore, the electrical medical record is a summary of clinical practice, as well as a legal basis for exploring the laws of disease and handling medical disputes. However, the generation of a large number of electronic medical records also causes an information overload problem, which puts a heavy burden on the medical staff for searching and retrieving relative medical records. Meanwhile, in the process of retrieving patients' case histories, the privacy preservation issue cannot be overlooked. To obtain more accurate retrieval results and protect patients' privacy rights, we have put forward a privacy-aware retrieval approach of case history by applying a fuzzy keyword search (referred to as PRCHkeywords) in this paper. Through the text description mining of case history and the fuzzy keyword search method, the PRCHkeywords approach can get accurate retrieval results. Moreover, the PRCHkeywords approach can protect people's privacy well by using the Simhash technology. Finally, a set of experiments are presented to show the effectiveness and efficiency of the PRCHkeywords approach.

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