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Hospital Prescription Records: Study Looks At Re-identification Risks For Patients

Date:
October 14, 2009
Source:
Children's Hospital of Eastern Ontario Research Institute
Summary:
A recent study found that the information in hospital prescription records can quite easily re-identify patients. The author stresses the importance of ensuring the proper de-identification of patient records.

A recent study led by Dr. Khaled El Emam, the Canada Research Chair in Electronic Health Information at the CHEO Research Institute, found that the information in hospital prescription records can quite easily re-identify patients.

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Information on drug prescriptions are a highly sought after commodity. Pharmaceutical companies like to access this data to fine tune their marketing and sales efforts. Many retail pharmacies in Canada sell their prescription records to commercial data aggregators who perform analyses for pharmaceutical companies; the potential privacy risk with such a practice is if the patients can be re-identified from this data. There is now more demand for this data from hospital pharmacies as well.

Dr. El Emam's study demonstrates the importance of ensuring the proper de-identification of patient records. The study demonstrates a methodology for deciding which data to keep and which to de-identify, since hospital prescription data contains details such as where patients live and when they were admitted to the hospital.

"A meaningful risk analysis requires an understanding of the nature of plausible re-identification scenarios" explained Dr. El Emam "and is typically performed with a hospital's privacy officer to ensure that the risk to patient re-identification remains as low as possible."

The risk analysis performed in this study provided a way to anonymize the hospital prescription data to maintain the privacy of the patients, by generalizing and removing some variables such as postal codes, admission and discharge dates, or gender, before they are shared with outside companies.

Dr. El Emam's first article was published in the July-August issue of the Canadian Journal of Hospital Pharmacy and explains how he went about analyzing the data and finding the right combination of variables to ensure the privacy of hospital patients.

In a different study published earlier this year titled "Evaluating predictors of geographic area population size cutoffs to manage re-identification risk" Dr. El Emam performed the same risk analysis on the information released by retail pharmacies in Canada. The conclusion was that the risk of re-identifying patients from these prescription records was very small, and the privacy risks were consequently also small. This highlights the point that privacy risks in prescription records does depend on the source: retail vs. hospital.

This work was partially funded by the Ontario Centres of Excellence.


Story Source:

The above story is based on materials provided by Children's Hospital of Eastern Ontario Research Institute. Note: Materials may be edited for content and length.


Journal Reference:

  1. Khaled El Emam, Fida K Dankar, Rιgis Vaillancourt, Tyson Roffey, Mark Lysyk. Evaluating the Risk of Re-identification of Patients from Hospital Prescription Records. The Canadian Journal of Hospital Pharmacy, 2009; 62 (4): DOI: 10.4212/cjhp.v62i4.812

Cite This Page:

Children's Hospital of Eastern Ontario Research Institute. "Hospital Prescription Records: Study Looks At Re-identification Risks For Patients." ScienceDaily. ScienceDaily, 14 October 2009. <www.sciencedaily.com/releases/2009/10/091014102023.htm>.
Children's Hospital of Eastern Ontario Research Institute. (2009, October 14). Hospital Prescription Records: Study Looks At Re-identification Risks For Patients. ScienceDaily. Retrieved November 1, 2014 from www.sciencedaily.com/releases/2009/10/091014102023.htm
Children's Hospital of Eastern Ontario Research Institute. "Hospital Prescription Records: Study Looks At Re-identification Risks For Patients." ScienceDaily. www.sciencedaily.com/releases/2009/10/091014102023.htm (accessed November 1, 2014).

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