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Decision Tree-Based Anonymized Electronic Health Record Fusion for Public Health Informatics

  • Fatima KhaliqueEmail author
  • Shoab Ahmed Khan
  • Qurat-ul-ain Mubarak
  • Hasan Safdar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 858)

Abstract

Electronic Health Record (EHR) is frequently used in Health Information Exchanges for fusing data of same patients for public health informatics through the demographic attributes. Fusing this information across multiple health care entities presents a two-fold complexity. First the privacy constraints are stringent regarding sharing of demographic information across organizations. This requires encrypting or hashing records for anonymity. Second, the fusion of anonymized data leads to problem of finding duplicate records and linking the incoming information accurately to the existing records. This paper presents a methodology to acquire health data by the office of any public health department while preserving the privacy, integrity and usefulness of the data. Our novel duplicate detection algorithm is based on a combination of cryptographic hashing and machine learning techniques for approximate linking of patients’ records by identifying duplicate and unique records. Experimental results on three different datasets show that our proposed methodology is capable of detecting duplicates based on encoded demographic data from EHR affectively. In addition the proposed methodology can potentially be applied for record matching in other domains with encoded data.

Keywords

Electronic Health Record (EHR) Demographic anonymization Duplicate detection Patient record linking Health data exchange Health data privacy Decision tree Hashing 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Fatima Khalique
    • 1
    Email author
  • Shoab Ahmed Khan
    • 2
  • Qurat-ul-ain Mubarak
    • 2
  • Hasan Safdar
    • 3
  1. 1.National University of Sciences and TechnologyIslamabadPakistan
  2. 2.College of Electrical and Mechanical EngineeringNUSTIslamabadPakistan
  3. 3.Center for Advanced Studies in EngineeringIslamabadPakistan

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