Trusted Framework for Health Information Exchange

Healthcare Interchange Exchange (HIE) is set of healthcare entities that link regions and nations around the world to share healthcare information about patients. HIE provides a unified interface to various stakeholders to access patient data. For example, individuals want to access personal data, practitioners want to import their patient data from Personal Health Records (PHR) and researchers want to access anonymized patient data for research purposes with ensured individual privacy. Keeping in view requirements of various stakeholders it is challenging to design an HIE system that ensures the security and privacy of patient information, such that the health records remain interoperable and scalable. This paper proposes, an HIE framework that will provide secure access to patient data and adhere to the interoperability rules. Implementation of l-diversity algorithm ensures individual privacy especially when the data is made available publicly for statistical analysis.

[1]  M Oshima,et al.  [Hospital information system]. , 1978, Iyo denshi to seitai kogaku. Japanese journal of medical electronics and biological engineering.

[2]  Raymond Chi-Wing Wong,et al.  (α, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing , 2006, KDD '06.

[3]  Pierangela Samarati,et al.  Generalizing Data to Provide Anonymity when Disclosing Information , 1998, PODS 1998.

[4]  D. Garets,et al.  EMRs and EHRs. Concepts as different as apples and oranges at least deserve separate names. , 2005, Healthcare informatics : the business magazine for information and communication systems.

[5]  Ninghui Li,et al.  t-Closeness: Privacy Beyond k-Anonymity and l-Diversity , 2007, 2007 IEEE 23rd International Conference on Data Engineering.

[6]  Ahima Understanding the HIE Landscape. Appendix A: State Health Information Exchange Cooperative Agreement Program , 2010 .

[7]  Latanya Sweeney,et al.  k-Anonymity: A Model for Protecting Privacy , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[8]  Regional health information organizations. , 2008, Optometry.

[9]  Ashwin Machanavajjhala,et al.  Worst-Case Background Knowledge for Privacy-Preserving Data Publishing , 2007, 2007 IEEE 23rd International Conference on Data Engineering.

[10]  ASHWIN MACHANAVAJJHALA,et al.  L-diversity: privacy beyond k-anonymity , 2006, 22nd International Conference on Data Engineering (ICDE'06).

[11]  F Johnson,et al.  Personal health record , 1988, Medical Journal of Australia.

[12]  Ashwin Machanavajjhala,et al.  l-Diversity: Privacy Beyond k-Anonymity , 2006, ICDE.

[13]  Yan Hongqiao,et al.  Electronic Medical Records vs. Electronic Health Records:Yes,There Is a Difference , 2007 .

[14]  WhitsonGeorge Health Level Seven , 2009, Definitions.