Dealing with Sensitive Data in Healthcare to Improve Patient Safety
We are striving for personal safety and security in our everyday life. New methods are investigated but often regulations and the limited access to data are challenging the validation of newly designed and developed models. Next to a short introduction into Human-Factor- based Risk-Management (RiDeM) and the used HFdFMEA (Human Factor dependent FMEA) technique, which has been developed to increase patient safety, some restrictions, limitations and implications are discussed especially according to the use of sensitive data in healthcare, data privacy and data security. Finally existing interfaces to and impacts of regulations as well as aspects of digitalisation are pointed out.
Table of contents
- 1. Introduction
- 1.1. Motivation
- 1.2. Introduction
- 2. Background and Related Work
- 3. Human-Factor-based Risk Management
- 3.1. The RiDeM Concept for Healthcare
- 3.2. The Proposed HFdFMEA Model
- 3.3. HFdFMEA Computation
- 4. Evaluation Setting and Results
- 4.1. Defining the Human Factors
- 4.2. Weighting the Human Factors
- 4.3. Evaluation of HFdFMEA Model via Regression
- 5. Discussion
- 5.1. To which restrictions and limitations does CIRS lead?
- 5.2. How generalised are the results?
- 5.3. Who are the stakeholders of the proposed model?
- 5.4. What are implications for the health system, practitioners and patients?
- 5.5. What has this all to do with data privacy, data security or sensitive data?
- 6. Conclusions
- 7. References
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