Evaluation of the awareness and effectiveness of IT security programs in a large publicly funded health care system
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Electronic health records are becoming increasingly common in the health care industry. Although information technology (IT) poses many benefits to improving health care and ease of access to information, there are also security and privacy risks. Educating health care providers is necessary to ensure proper use of health information systems and IT and reduce undesirable outcomes. OBJECTIVE: This study evaluated employees' awareness and perceptions of the effectiveness of two IT educational training modules within a large publicly funded health care system in Canada. METHOD: Semi-structured interviews and focus groups included a variety of professional roles within the organisation. Participants also completed a brief demographic data sheet. With the consent of participants, all interviews and focus groups were audio recorded. Thematic analysis and descriptive statistics were used to evaluate the effectiveness of the IT security training modules. RESULTS: Five main themes emerged: (i) awareness of the IT training modules, (ii) the content of modules, (iii) staff perceptions about differences between IT security and privacy issues, (iv) common breaches of IT security and privacy, and (v) challenges and barriers to completing the training program. Overall, nonclinical staff were more likely to be aware of the training modules than were clinical staff. We found e-learning was a feasible way to educate a large number of employees. However, health care providers required a module on IT security and privacy that was relatable and applicable to their specific roles. CONCLUSION: Strategies to improve staff education and mitigate against IT security and privacy risks are discussed. Future research should focus on integrating health IT competencies into the educational programs for health care professionals.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.046 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it