Unauthorized Data Access
Conditions
Brief summary
To assess the effectiveness of email warnings on reducing repeated unauthorized access to Protected Health Information (PHI), a randomized trial was conducted in a large academic medical center to understand the effectiveness of email warning on reducing repeated unauthorized access to PHI.
Detailed description
From January 1, 2018, to July 31, 2018, a large academic medical center's PHI access monitoring system flagged all unauthorized accesses to patient electronic medical records from 444 employees (all professional medical staff), who were not part of the patient's intervention team and did not have access permission. 219 employees (49%) were randomly selected to receive an email warning on the night of their access, while the remaining employees (225, 51%) served as controls. The email informed that the employee has had been identified as having accessed a patient's electronic medical record without a known work-related purpose and that unauthorized access is a privacy violation. A sample email was attached at the end of the protocol. The system tracked all these individuals' violations within the sample period. Later on, all cases with the violators' ID and patients' ID fully de-identified (see the following excerpt as examples) were shared with researchers at John Hopkins and Michigan State for data analyses. Because researchers do not have the ability to link the data with an identifier, the study was exempted from Michigan State University's IRB review. Violator ID Patient ID Date Intervention 01B1NSYX3CEXZ86UZXU7R9JQ4VEK R7Z8RTZQL4B9IAC13F6EXQJVWAI7 1/2/2018 No Email 01B1NSYX3CEXZ86UZXU7R9JQ4VEK R7Z8RTZQL4B9IAC13F6EXQJVWAI7 1/3/2018 No Email
Interventions
The email informed that the employee has had been identified as having accessed a patient's electronic medical record without a known work-related purpose and that unauthorized access is a privacy violation.
Sponsors
Study design
Masking description
all violators' identities are masked to Protenus.
Intervention model description
one group received email notice while the group didn't
Eligibility
Inclusion criteria
* violators of patients' privacy rights
Exclusion criteria
\-
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| the number of subsequent unauthorizated access violations | 12 weeks starting from the first time a violation was flagged | The investigators monitored and collected all the subsequent unauthorized access violations for both the experiment and the control group |
Countries
United States