the international council on medical & care compunetics


December, 2014


Understanding and preventing wrong-patient electronic orders: a randomized controlled trial

Adelman JS et al, J Am Med Inform Assoc, 2012

To evaluate systems for estimating and preventing wrong-patient electronic orders in computerized physician order entry systems with a two-phase study.
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3 July 2012 | No Comments »
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Construction of a Multisite DataLink Using Electronic Health Records for the Identification, Surveillance, Prevention, and Management of Diabetes Mellitus: The SUPREME-DM Project

Nichols GA et al, Preventing Chronic Disease, 9

Electronic health record (EHR) data enhance opportunities for conducting surveillance of diabetes. The objective of this study was to identify the number of people with diabetes from a diabetes DataLink developed as part of the SUPREME-DM (SUrveillance, PREvention, and ManagEment of Diabetes Mellitus) project, a consortium of 11 integrated health systems that use comprehensive EHR data for research.
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12 June 2012 | No Comments »
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The Use of Patient Pictures and Verification Screens to Reduce Computerized Provider Order Entry Errors

Hyman D et al, Pediatrics, 2012

To determine whether an order verification screen, including a patient photograph, is an effective strategy for reducing the risk that providers will place orders in an unintended patient’s electronic medical record (EMR).
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5 June 2012 | No Comments »
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A method for managing re-identification risk from small geographic areas in Canada

El Emam, Khaled et al, BMC Medical Informatics and Decision Making, 10(1)

A common disclosure control practice for health datasets is to identify small geographic areas and either suppress records from these small areas or aggregate them into larger ones. A recent study provided a method for deciding when an area is too small based on the uniqueness criterion. The uniqueness criterion stipulates that an the area is no longer too small when the proportion of unique individuals on the relevant variables (the quasi-identifiers) approaches zero. However, using a uniqueness value of zero is quite a stringent threshold, and is only suitable when the risks from data disclosure are quite high. Other uniqueness thresholds that have been proposed for health data are 5% and 20%.
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3 April 2010 | No Comments »
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Privacy-preserving record linkage using Bloom filters

Schnell, Rainer et al, BMC Medical Informatics and Decision Making, 9

Combining multiple databases with disjunctive or additional information on the same person is occurring increasingly throughout research. If unique identification numbers for these individuals are not available, probabilistic record linkage is used for the identification of matching record pairs. In many applications, identifiers have to be encrypted due to privacy concerns.
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25 August 2009 | No Comments »
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Biometrics for Electronic Health Records

Flores Zuniga AE et al, Journal of Medical Systems, 34(5)

Securing electronic health records, in scenarios in which the provision of care services is share among multiple actors, could become a complex and costly activity. Correct identification of patients and physician, protection of privacy and confidentiality, assignment of access permissions for healthcare providers and resolutions of conflicts rise as main points of concern in the development of interconnected health information networks.
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4 June 2009 | No Comments »
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IDENTITY CRISIS – An Examination of the Costs and Benefits of a Unique Patient Identifier for the U.S. Health Care System

Hillestad, Richard, RAND Monographs

A national health information network, or NHIN, that enables disparate health care information systems across the United States to allow authorized users to easily and quickly share critical health information has the potential to enhance safety and dramatically improve the quality and efficiency of the national health care system. A unique patient identifier (UPI) to use as a singular key to accurately link, file, and retrieve individual health records was seen as an important element of the national system and was mandated as part of the Health Insurance Portability and Accountability Act of 1996 (HIPAA) legislation. However, privacy and security concerns about electronically sharing patient information have completely sidetracked the development of standards for a UPI and threaten to delay the development of the NHIN. This monograph examines the operational advantages and disadvantages, compares the errors, examines the costs, and discusses the privacy issues associated with the UPI and its alternatives.
This monograph should be of interest to health care IT professionals, other health care executives and researchers, and officials in the government responsible for health policy.

25 November 2008 | No Comments »
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