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1.
Int J Med Inform ; 92: 1-7, 2016 Aug.
Article in English | MEDLINE | ID: mdl-27318066

ABSTRACT

BACKGROUND: Multiple users access computer workstations in busy clinical settings, requiring many logins throughout the day as users switch from one computer to another. This can lead to workflow inefficiencies as well as security concerns resulting from users sharing login sessions to save time. Proximity cards and readers have the potential to improve efficiency and security by allowing users to access clinical workstations simply by bringing the card near the reader, without the need for manual entry of a username and password. OBJECTIVES: To assess the perceived impact of proximity cards and readers for rapid user authentication to clinical workstations in the setting of an existing electronic health record with single sign-on software already installed. METHODS: Questionnaires were administered to clinical faculty and staff five months before and three months after the installation of proximity card readers in an inpatient birthing center and an outpatient obstetrics clinic. Open-ended feedback was also collected and qualitatively analyzed. RESULTS: There were 71 and 33 responses to the pre- and post-implementation surveys, respectively. There was a significant increase in the perceived speed of login with the proximity cards, and a significant decrease in the self-reported occurrence of shared login sessions between users. Feedback regarding the system was mostly positive, although several caveats were noted, including minimal benefit when used with an obstetric application that did not support single sign-on. CONCLUSIONS: Proximity cards and readers, along with single sign-on software, have the potential to enhance workflow efficiency by allowing for faster login times and diminish security concerns by reducing shared logins on clinical workstations. The positive feedback was used by our health system leadership to support the expanded implementation of the proximity card readers throughout the clinical setting.


Subject(s)
Computer Security/instrumentation , Electronic Health Records/instrumentation , Hospital Information Systems , Attitude of Health Personnel , Computer Terminals , Confidentiality , Humans , Surveys and Questionnaires , User-Computer Interface
2.
Contemp Clin Trials ; 47: 202-8, 2016 Mar.
Article in English | MEDLINE | ID: mdl-26825022

ABSTRACT

BACKGROUND AND AIM: A major challenge in conducting clinical trials/studies is the timely recruitment of eligible subjects. Our aim is to develop a Diabetes Research Registry (DRR) to facilitate recruitment by matching potential subjects interested in research with approved clinical studies using study entry criteria abstracted from their electronic health records (EHR). METHOD: A committee with expertise in diabetes, quality improvement, information technology, and informatics designed and developed the DRR. Using a hybrid approach, we identified and consented patients interested in research, abstracted their EHRs to assess common eligibility criteria, and contacted them about their interest in participating in specific studies. Investigators submit their requests with study entry criteria to the DRR which then provides a list of potential subjects who may be directly contacted for their study. The DRR meets all local, regional and federal regulatory requirements. RESULTS: After 5 years, the DRR has over 5000 registrants. About 30% have type 1 diabetes and 70% have type 2 diabetes. There are almost equal proportions of men and women. During this period, 31 unique clinical studies from 19 unique investigators requested lists of potential subjects for their studies. Eleven grant applications from 10 unique investigators used aggregated counts of potentially eligible subjects in their applications. CONCLUSION: The DRR matches potential subjects interested in research with approved clinical studies using study entry criteria abstracted from their EHR. By providing large lists of potentially eligible study subjects quickly, the DRR facilitated recruitment in 31 clinical studies.


Subject(s)
Clinical Trials as Topic , Diabetes Mellitus, Type 1 , Diabetes Mellitus, Type 2 , Patient Selection , Registries , Adolescent , Adult , Aged , Electronic Health Records , Female , Humans , Male , Michigan , Middle Aged , Registries/statistics & numerical data , Research Design , Young Adult
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