NURS FPX 8022 Assessment 3

NURS FPX 8022 Assessment 3 Risk Mitigation Plan Student Name Capella University NURS-FPX8022 Nursing Technology and Advanced Healthcare Information Systems Professor name Submission Date   Introduction It is important to use clinical decision support systems to support real-time evidence-based decisions, minimize medication errors, and improve safety, as these tools will help to improve decision-making processes. Although there are some instances in which it can be beneficial, CDSS can have some dangers as well. The risk mitigation strategy outlines how to mitigate the identified key risks that will be uncovered by the proposed integration of CDSS into the existing St. Francis Health Services’ barcode medication administration system, by applying the safety assurance factors for EHR resilience Guides. Every risk is also classified according to how likely it is to happen and the potential injury should it occur, and interventions are identified to keep patients safe, prevent health care failures and allow technology to be implemented properly. Risk Mitigation Plan When evaluating the BCMA system at St. Francis Health Services for risk assessment of integrating the CDSS with the BCMA, there are a few areas that present risks. One big issue is real-time alert delivery to the clinical team and introduction of decision support logic; other instances might have more grave consequences. This gap limits the system to only being able to find high-risk medicine interactions and fall-related alerts, which cannot be easily identified, and can lead to adverse patient outcomes. To counter this, a plan is being put in place that entails timely and accurate alerts based on patient-specific data to help clinicians with decision-making and prevent errors at the bedside. The plan will be drafted for added safety of medication use. Another common risk is the “alert fatigue” of nursing personnel, even under normal circumstances, which may cause small harm, but could be a problem when it comes to the effectiveness of CDSS – increased risk that important alerts will be ignored or overridden. Nurses, at this stage, are not adequately prepared to deal with the various types of alerts, and this will only work with the right amounts and types of contextually-appropriate alerts that balance usability and safety. In addition, reconciliation issues with the data can occasionally occur, and can wreak havoc if there is not a proper synchronization of administration, medication orders, and actual medication administration. Ethical or Legal Issues If the risks outlined in this report for implementing CDSS in St. Francis Health Services are not addressed, there would be significant ethical and legal issues. Ethically, the safety of patients is the most important concern, and ignoring the risk of not having real-time alerts for medication orders, or a data contradiction in the medication administration record, could mean delayed treatment or medication errors, or an adverse drug event. The issue results in a breach of the ethical principles of beneficence and non-maleficence because patients could have been harmed by unnecessary system failure. Poor training in alert management can lead to the possibility of alert fatigue for the clinician (which can lead to a life-critical alert being ignored) and, over time, can lead to a loss of faith in the technology, resulting in moral distress or career implications to the clinician. As a result of the violation, patients can lose faith in the health care system and become less compliant with treatment and have poorer health outcomes (Vemuri et al., 2022). For not meeting patient safety and information protection requirements, institutions will be subject to fines and loss of reputation, and may even be held legally liable. It is important to be aware that, in a legal sense, patient injuries or medication errors as a result of poor system protection could make the institution vulnerable to legal action, such as malpractice, regulatory action, and negative publicity. Healthcare organizations must ensure they deliver safe care environments, and technology that falls short of the standards could be in breach of the standards. Also, mishandling of patient information results in the breach of the Health Insurance Portability and Accountability Act (HIPAA), which demands sufficient confidentiality, data correctness, and access controls to protect patient data. Failure to abide by HIPAA could have serious consequences for the organization. Unfortunately, the planned CDSS integration for St. Francis is not HIPAA-compliant because it does not include secure authentication, encrypting data while it is moving, or role-based access control to secure the availability of sensitive health information to only those who are appropriately authorized. Measures taken for cybersecurity are periodic auditing of the systems, availability of intrusion detection systems, designing the system properly, and also having a backup mechanism in case of any data leakage or if the system breaks down. The protections guarantee patient confidentiality and preserve the integrity and accessibility of clinical data, necessary for ethical and legal concerns. The institution takes proactive steps to protect patients, healthcare professionals, trust in the institution, and regulatory regulations. Literature Justifications The proposed actions to address the risks found with the implementation of the integration of the Clinical Decision Support (CDS) System and the Barcode Medication Administration (BMA) System to St. Francis Health Services are logical in the context of good evidence and best practices in health informatics and patient safety. Real-time, patient-specific warnings are key to improving medication safety as they have been demonstrated to reduce adverse drug events and thereby improving clinical care. Then, when medication orders, administration, and patient charts are consistent and accurate, a common cause of medication error – automated cross-verification of data for data reconciliation – will be avoided. Finally, the method will decrease the chances of any discrepancies. Evidence-informed flexible alert systems and ample education are used to manage alert fatigue: Too many or too generic alerts lead to desensitization among clinicians, the opposite of what is intended, and impact clinical decision support effectiveness. Responsiveness to alerts has increased while the number of alerts being ignored has fallen, thanks to part of clinician education and personalised alert thresholds, ensuring safer medicines management practices. Also, because of the extended training,