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This paper argues that given the proliferation of electronic health records (EHRs) in the health care system, legislative reform must occur to address the inadequacies of Ontario’s current health privacy legislation in accommodating EHRs. A coherent framework for legislation is necessary to capture the important role that privacy plays in public perception when it comes to legislating and managing EHRs in Ontario and, in turn, serve as a tool for legislators to understand the definitions and values of privacy associated with EHRs and the privacy problems worthy of protection in an electronic health environment. The failure to properly address these problems may lead to privacy losses and loss of public confidence in EHR systems. In applying this framework to three legislative options, it is evident that Ontario should amend the Personal Health Information Protection Act, 2004 to better contemplate the privacy protections necessary in an electronic health environment.

This paper argues that given the proliferation of electronic health records (EHRs) in the health care system, legislative reform must occur to address the inadequacies of Ontario’s current health privacy legislation in accommodating EHRs. A coherent framework for legislation is necessary to capture the important role that privacy plays in public perception when it comes to legislating and managing EHRs in Ontario and, in turn, serve as a tool for legislators to understand the definitions and values of privacy associated with EHRs and the privacy problems worthy of protection in an electronic health environment. The failure to properly address these problems may lead to privacy losses and loss of public confidence in EHR systems. In applying this framework to three legislative options, it is evident that Ontario should amend the Personal Health Information Protection Act, 2004 to better contemplate the privacy protections necessary in an electronic health environment.

As Canada continues its drive towards a national electronic health record the costs are mounting. With 256 projects underway the question has to be asked: what are the true costs of such an endeavor? Success hinges on cooperation at all levels and adequate funding in place to see it to completion. Has Canada taken into full consideration the impact that this project will have in the long run? One small part of a much larger project in rural Alberta puts a face on the huge undertaking. Nurses in one former health region adopted not only an Order Entry module but also began using computers for the first time in order to do their work. Nurses are one of the key end-user groups actually inputting the information into these systems. Is data entry something nurses need to be concerned with at all especially at the Order Entry level?

Thesis (M.S.)--University of Michigan, Ann Arbor, 1972. / Typescript (photocopy). Includes bibliographical references (leaves 45-46). Also issued in print.

Thesis (M.S.)--University of Michigan, Ann Arbor, 1980. / Typescript (photocopy). Includes bibliographical references (leaves 103-108). Also issued in print.

Thesis (M.S.)--University of Michigan, Ann Arbor, 1980. / Typescript (photocopy). eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 103-108).

Thesis (M.S.)--University of Michigan, Ann Arbor, 1972. / Typescript (photocopy). eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 45-46).

Record linkage is the task of identifying records within one or multiple databases that refer to the same entity. Currently, there exist many different approaches for record linkage. Some approaches incorporate the use of heuristic rules, mathematical models, Markov models, or machine learning. This thesis focuses on the application of record linkage to genealogical records within family trees. Today, large collections of genealogical records are stored in databases, which may contain multiple records that refer to a single individual. Resolving duplicate genealogical records can extend our knowledge on who has lived and more complete information can be constructed by combining all information referring to an individual. Simple string matching is not a feasible option for identifying duplicate records due to inconsistencies such as typographical errors, data entry errors, and missing data. Record linkage algorithms can be classified under two broad categories, a rule-based or heuristic approach, or a probabilistic-based approach. The Cocktail Approach, presented by Shirley Ong Ai Pei, combines a probabilistic-based approach with a rule-based approach for record linkage. This thesis discusses a re-implementation and adoption of the Cocktail Approach to genealogical records.

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