Risk |
Possibility of Occurrence |
Potential for Harm |
Mitigation Strategy |
---|---|---|---|
Data loss due to low resilience of software | Sometimes | Mild | Implement a robust contingency plan |
Poor IT infrastructure | Frequent | Severe | Invest in upgrading technology infrastructure (Rhoades et al., 2022) |
Low clinical workflow | Frequent | Mild | Enhance staff productivity through training (DiAngi et al., 2019) |
Misrepresentation of patient data | Sometimes | Severe | Integrate a reliable patient identification system (Riplinger et al., 2020) |
Poor communication among staff | Frequent | Severe | Utilize novel communication channels to reduce barriers |
Electronic Health Data Leakage | Sometimes | Severe | Implement multifactor authentication for accessing patient data (Bahache et al., 2022) |
NURS FPX 8012 Assessment 4 Risk Mitigation
Ethical or Legal Issues Related to Identified Risks
Distorted patient information poses serious ethical and legal risks, potentially violating privacy rights and leading to legal consequences. Patients have the right to expect confidentiality, and any misrepresentation of their information could breach this trust (Balynska et al., 2021). Such breaches may result in legal actions, and healthcare professionals must uphold ethical standards to avoid legal repercussions (Choi et al., 2019).
Adverse Consequences of Unaddressed Risks
Failure to address these risks within a healthcare organization can lead to poor-quality patient care, financial instability, and low staff morale. Patient safety may be compromised, resulting in medical errors and potential legal actions. Non-compliance with regulations, such as HIPAA, can lead to penalties and reputational damage. Operational risks, like ineffective staffing, may impact financial performance. Proactive risk identification and mitigation are crucial for ensuring patient and staff safety, regulatory compliance, and financial stability.
Justification of Actions
Upgrading Electronic Health Record (EHR) systems, improving IT infrastructure, and enhancing staff training can streamline healthcare processes, reduce errors, and provide real-time insights for better decision-making (Rhoades et al., 2022; DiAngi et al., 2019). Implementing a patient identification system ensures accuracy in clinical records (Riplinger et al., 2020). Multifactor authentication safeguards patient data and complies with HIPAA regulations (Bahache et al., 2022).
Change Management Strategies
Effective change management is vital for successful implementation. The Lewin model and ADKAR model offer structured approaches. The Lewin model’s three stages—thawing, changing, and refreezing—can facilitate the transition to upgraded EHR systems and improved software consistency (Harrison et al., 2021). The ADKAR model emphasizes Awareness, Desire, Knowledge, Ability, and Reinforcement, providing a framework for staff training and ensuring successful change implementation (Balluck et al., 2020).
Application of Change Management Strategies
For the Allen Medical Clinic, addressing EHR management flaws requires a focus on staff training and IT infrastructure improvement. By employing the Lewin model and ADKAR model, the clinic can enhance patient outcomes, staff satisfaction, and overall organizational performance. Change management strategies also contribute to improved collaboration and shared vision among stakeholders.
References
Bahache, A. N., Chikouche, N., & Mezrag, F. (2022). Authentication schemes for healthcare applications using wireless medical sensor networks: A survey. SN Computer Science, 3(5), Article 300. https://doi.org/10.1007/s42979-022-01300-z
Balluck, J., Asturi, E., & Brockman, V. (2020). Use of the ADKAR and CLARC change models to navigate staffing model changes during the COVID-19 pandemic. Nurse Leader, 18(6). https://doi.org/10.1016/j.mnl.2020.08.006
Balynska, O., Teremetskyi, V., Zharovska, I., Shchyrba, M., & Novytska, N. (2021). Patient’s right to privacy in the health ca