NURS-FPX8022

NURS FPX 8022 Assessment 4 Quality Improvement Project Plan
Capella University, DNP, NURS-FPX8022

NURS FPX 8022 Assessment 4 Quality Improvement Project Plan

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NURS FPX 8022 Assessment 4 Quality Improvement Project Plan Student Name Capella University NURS-FPX8022 Nursing Technology and Advanced Healthcare Information Systems Professor Name Submission date   Quality Improvement Project Plan Patient safety and care quality are central to activities in the health services industry, and health information technology is an important contributor to this. Health information technology (IT) has the potential to enhance safety and quality outcomes by using information to support decision-making and reducing errors. The evaluation helps estimate potential benefits that could be achieved by leveraging performance measures when planning the integration of the barcode medication administration (BCMA) system and the clinical decision support (CDS) system into the Cleveland Clinic. Based on benchmark measures provided by the Leapfrog Group and the Centers for Medicare and Medicaid Services, together with the SAFER Guides framework, the analysis highlights the current gaps in medication safety, workflow, and the implementation of technology systems in the organization. Problem, Significance, and Impact While Medication Administration is a critical aspect of healthcare, it encounters numerous safety and operational challenges that profoundly influence patient outcomes and safety in today’s healthcare environment. Although progress has been made in improving safety, there is still a variation in safety performance across the organizations, highlighting issues with the use of health IT resources to improve safety performance. This is not confined to the Cleveland Clinic – performance measures identify issues with medication safety at the Cleveland Clinic. The problem is additionally affected by communication problems and poor patient experiences. The Leapfrog Group reviews patient safety data gathered by the Centers for Medicare & Medicaid Services and frequently reports that patients experience problems with understanding medication instructions and moving to a new environment. The complaints are tightly linked with the occurrence of adverse events at high rates among patients. The issues can impact a number of stakeholders. These patients will be at higher risk for medication errors, resulting in potential for significant injury and decreased trust in the health care system. In contrast, the other side, that of the healthcare professionals, will suffer a greater cognitive load, lose productivity, and experience more errors due to the inefficient process and lack of appropriate technology. The BCMA and CDS technologies will address the root causes of the medication errors and will enhance the medication communications, thereby solving the problems. Technology/Informatics Solution One plan of intervention (solution) to solve the issues would be to implement the BCMA system as a full-scale project, since it integrates with the CDS functionality in the Cleveland Clinic’s EHR system. The BCMA will help to ensure that all five rights for each medication administered are verified during the procedure while using barcodes. The CDS function will assist in giving alerts when there are any precautions about allergies, drug interactions, and/or contraindications towards the use of certain drugs. When these technologies are integrated into advanced EHR software, like Epic, they can help enhance clinical decisions and avoid preventable medical mistakes. Infrastructure improvements should be considered as a means of installing barcode scanners and reliable connections anywhere where there are patients. Second, there is a need to redesign the workflow to remove all the unsafe aspects of pre-scanning of medications and BCMA at the bedside. Third, optimization of CDS alert should come in tandem with the implementation of tiered alerting. Finally, training and competency programmes on the use of new technologies for staff would be important to consider. The proposed solution is directly related to the selected issue, and it addresses the underlying reasons related to the medication error and inefficiencies in the workflow. The process starts to get more accurate and efficient with the help of the proposed solution, and will also be compliant. In addition, the solution offers a way to generate valuable information to facilitate those changes to improve quality. Monitoring Three Data Points There are a number of data elements that demonstrate the need for and potential impacts of the initiative. For instance, it’s known that one of the primary causes of avoidable harm in the healthcare industry is medication administration errors, and this is presented in the Leapfrog Group. Poor performance in safe medication use is usual in hospitals, and these are generally not equipped with the appropriate technologies. Therefore, this is an area that needs to be addressed. The other set of data is from the Centers for Medicare and Medicaid Services Care Compare and reflects differences between customer satisfaction and performance. Cleveland Clinic has quite good clinical ratings; however, in terms of patient experience, especially regarding information related to medication usage, the results are not satisfactory. This can be addressed by integrating the BCMA and CDS–clinicians would have access to patient-related information. Third, scientific studies prove the significant positive impact of BCMA and CDS applications on safety-related indicators related to drug administration. Also, the implementation of the BCMA technology can be expected to result in fewer medication errors and more medications administered as a result of verification obtained automatically, and in a lower chance of adverse drug events and better clinical decision-making processes. Hence, from the analysis of indicators, it is evident that there is a scope for improvement with respect to safety, communication, and process optimization. Furthermore, the data also demonstrate the sustainability of the proposed solution, as the data can continually be used to assess and improve processes. Implementation Plan and Challenges Logistics, human resources, and technology are all potential challenges with the implementation of BCMA and CDS at the Cleveland Clinic. In all patient receiving outpatient services departments, from a logistical point of view, it is essential to have readily available access to bar code scanners and system connectivity. If there are not enough technical resources, the process will be delayed, and other solutions will be used; this may impact patient safety. From a human resource perspective, there will be differences in the competence of both nurses and health care professionals to embrace BCMA and CDS, and the resistance to change. Constraints on resources are yet another issue. Setting up

NURS FPX 8022 Assessment 3 Risk Mitigation Plan
Capella University, DNP, NURS-FPX8022

NURS FPX 8022 Assessment 3 Risk Mitigation Plan

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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,

NURS FPX 8022 Assessment 2 SAFER Guides and Evaluating Technology Usage
Capella University, DNP, NURS-FPX8022

NURS FPX 8022 Assessment 2 SAFER Guides and Evaluating Technology Usage

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NURS FPX 8022 Assessment 2 SAFER Guides and Evaluating Technology Usage Student Name NURS-FPX8022 Nursing Technology and Advanced Healthcare Information Systems Capella University Professor Name Submission Date   SAFER Guides and Evaluating Technology Usage Slide 1: Hi, my name is_______, and I will talk about the proposed system for predictive analytics, built into electronic health record system at Massachusetts general hospital to improve patient safety and outcomes. Slide 2: Postoperative sepsis, adverse events and patient falls are the key issues that need to be addressed. Enhancing early detection and intervention and ensuring the EHR resiliency guidelines will also be incorporated into the problem. To create and deploy a real time, predictive analytics system to forecast clinical deterioration (falls and/or sepsis) prior to the onset of adverse outcomes using information from the EHR. Furthermore, technology can help to reduce delays in care, ensure coordination of care and reduce unnecessary complications. Finally to assess, implement and continually improve the security and effectiveness of the use of EHRs and related technologies and technologies with SAFER Guides. I will explore and critically discuss in the presentation how the SAFER guides can be used to improve the resilience of EHR integration and to make hospitals safer. Implementation of Predictive Analytics-Enhanced EHR Slide 3: The proposed technology of predictive analytics is integrated with the existing EHR, the information of patients are reviewed in real-time with an artificial intelligence model, the model may give alerts of any potential risk, such as sepsis or fall. The risk detection and alerts are available in real time and integrated into existing clinical processes, decision support systems and monitoring processes. The clinical parameters and vital signs are continuously analyzed and physicians and nurses are alerted accordingly. This guarantees timely clinical decisions and interventions for prevention. Consistently, the technology proves beneficial when it comes to care planning, allocation of resources, and individual guidance. The system enables saving time, energy and resources in clinical work, operational productivity and safety. The deficiency is directly mitigated by the ability of the predictive model to provide early warnings of adverse events and prevent them. High rates of postoperative sepsis (4.69), adverse event scores (1.02) and fall rates (0.199) were identified as areas of concern by the leapfrog data. Also, predictive models can reduce the death rate from sepsis by as much as 30 percent, and the rate of patient falls by 25 percent. Better surveillance and intervention through information and communication technology systems, including a CDS using AI. In addition, patient portals also enhance engagement, access and adherence to the discharge plan. The seamless integration is easy to get into EHR, and aids safety regulations and performance improvement objectives at MGH (Massachusetts General Hospital, n.d.). Not only does it enhance Leapfrog and Medicare Compare scores, but it also makes for a patient-centered, resilient and proactive care environment. SAFER Guides Findings: Areas of Strong Performance Slide 4: The MGH has excellent technical infrastructure and patient safety culture indicated by the SAFER Guide ratings of “Fully in all areas” and clinical process integration is considered good. Its benefits are that the data is easily accessible in real time, clinical decision support is well developed and it uses Computerized Physician Order entry (CPOE) to enhance the accuracy of medications and decrease medical errors. Instant results from the tests are shared with the clinicians and alert is set for abnormal results enabling swift clinical response. Use of EHR integrated tools such as CDS, CPOE, etc. at the facility highlights a system in place that has been developed to encourage evidence-based decision making. Data access – both for documentation and analysis – can be relied upon for consistent patient care delivery and efficient operations. The services provided in MGH’s contingency planning, too, are rated highly. The organization have back-ups and data recovery procedures in place that ensure that the organisation is able to keep delivering services during outages. When providing care, the resilience guarantees that serviced do not go down giving uninterrupted services, thus keeping patient safety and working procedure stable. Functional safety of the interfaces with the system is also well-developed. Today, there’s interoperability between the various departments within the facility and common EHR modules to enable data sharing with no duplication of documentation. Smooth interface seamlessly delivers clinical experience with no communications delay; particularly important when shifting from one point to another in the clinical interaction. The strengths work synergistically to decrease preventable adverse events, delays in treatment and clinician workload. High levels of existing automation, employee training and security measures also contribute to safe usage of EHR systems. Overall, the results of the SAFER Guide indicate that MGH’s existing system is well-positioned to create a safe, responsive and well-integrated health IT system. The existing EHR platform’s predictive analytics will only add to these benefits and continue to improve patient outcomes and hospital performance. SAFER Guides Findings: Identified Risks Slide 5: One of the key risks identified by the SAFER guide in the context of integration of AI-based predictive analytics into the existing EHR system is the potential for creating a “Trojan horse. Regarding integration of AI based predictive analytics into the existing EHR system, the SAFER guide findings point to the risk of creating a “Trojan horse. The risks are classified as “Not Implemented” or “Partially in some areas,” and system level changes and focused attention are needed on them that pose risk to patient safety or data integrity. One of the challenges is clinician’s burn out and disruptions of work flow. The existing system doesn’t have the necessary workload balancing workflows and processes for predictive alert fatigue. Without prioritization and/or filtering capabilities of the alerts, there is a risk of alert fatigue which can cause the staff to miss out on important alerts. At the present moment machine learning tools would be of no clinical value as nurses don’t know how to interpret or act upon complex predictive risk-scores. The risk associated with this will require a lot of education, hands-on training and clinical simulation to

NURS FPX 8022 Assessment 1 Using Data to Make Evidence-Based Technology Recommendations
Capella University, DNP, NURS-FPX8022

NURS FPX 8022 Assessment 1 Using Data to Make Evidence-Based Technology Recommendations

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NURS FPX 8022 Assessment 1 Using Data to Make Evidence-Based Technology Recommendations Student Name Capella University NURS-FPX8022 Nursing Technology and Advanced Healthcare Information Systems Professor Name Submission Date Using Data to Make Evidence-Based Technology Recommendations The concept of evidence based technology recommendations is imperative in the healthcare sector, as decision-making relies on data to assist a healthcare institution in understanding how to invest their money into technology which will directly translate to a patient and work efficient outcome in their care. By systematically examining the clinical outcomes, safety data and workflow factors, technology leaders can make informed decisions based on clinical data, rather than relying on vendor’s claims. The evidence-based strategy helps prevent implementation problems, ensure resources are used to their greatest extent, and ensures new technologies are connected to the quality improvement goals within the organization. At some point, innovations with measurable benefits and return on investment, and that offer better ways to deliver care, are adopted as a result of informed decision making. There will be a focus on the application of technology in real practice situations and use of performance information to generate technology advice, based on evidence in the assessment area. Evaluation of Technology in Use The Medical University of South Carolina University Medical Center (MUSC) has seriously underperforming with a fall rate of 0.774 per 1,000 patient days, compared with 0.000 for the Top performers, indicating there is a serious patient safety issue occurring at MUSC (Leapfrog, n.d.). The institution score on medication communication is 74 which is well below the top ranked hospitals with score of 88, indicating that there is lack of education to patients regarding their medication regime and side effects of the medicine they take. Incorporating strategic technology, combined with overall staff training programs, are crucial steps towards achieving perfection in patient safety and communication outcomes, and communication performance on discharge is on average below national standards (82) but better than other low performing facilities (67). Patient education systems and medication dispensing systems that can be interacted with by the patients and medication that can be dispensed automatically can lead to a significant increase in medication communication and discharge planning in a healthcare facility. With the technological interventions, doctors will be able to provide the same trainings on the discharge and provide guidance on the medications with visual learning materials, on touch screen displays.The systems eliminate communication strategies differences and prescribe the systematic process of understanding patients’ adherence to medications and post-discharge care. Adopting technology solutions to standardise communication and medication workflow, will enhance patient safety and help to reduce the risk of preventable adverse events. While the potential benefits of using advanced communication technologies in health care institutions are significant, the uptake of these technologies has been hampered by numerous barriers, such as institution related priorities, resource constraints and human issues within institutions when implementing. Patients’ education platforms are known for requiring staff to work harder and have limited experience with digital interfaces, which has raised a lot of opposition from staff. However, the process of buying automated systems for medication delivery and making investments in them to train employees, particularly by smaller healthcare facilities, is hindered by a lack of funds. Technological problems that occur when implementing the new communication platforms along with the current EHR systems can disrupt work routines and clinical functions of the old system. Navigating the touchscreen-based education systems could be a difficult task for patients who aren’t technologically literate, creating digital disparities in health care. In various health care settings, there are many central factors that make or break the success of health care technology implementation, such as planning and providing long-term administrative support. As is now, the MUSC’s existing medication communication/discharge processes include the involvement of the providers, who place the orders for medication in the patient’s chart, and the nurses, who receive the medication as instructed through the standard pharmacy delivery process. Nurses provide verbal medicine education in standardized education protocols; however this varies in quality based on individual nurses’ approach to the delivery of the information and time constraints. For efficient communication, there should be structured methodologies that would help in the various patient learning needs and preferences, particularly when delivery of patient education will be provided by a nurse using technology. The discharge instructions typically are provided to the patient in a written form, which includes a schedule of medication use, adverse effects and follow-up appointments. Documentation in the electronic health record system (EHR) ensures continuity of care by providing patient education contacts and discharge planning tasks that are sent to the EHR, generating lasting records. The present flow of the Work is given in Appendix A. Patient Safety Areas Identified Health facilities use two main assessment systems: Leapfrog safety ratings and Medicare assessment tools for comparing performance. In overall safety measures (e.g., adherence to protocols, infection control, clinical outcomes) Leapfrog assigns letter grades (A-F).Medicare compare studies so much more than the scope of aspects of the delivery of healthcare and satisfaction with regards to that, which makes it possible to study in the comparison to choose the provider. The three fundamental purposes of the evaluation systems are for transparency in operations, quality improvement systems, and to provide consumers with evidence-based information which they can use to make informed decisions about health care. The standardized monitoring frameworks are based on comparable assessment criteria and when combined, they help ensure a high-quality healthcare system that offers accountability and choice to consumers. In the mentioned health care unit, the indicators of patient safety and communication quality exist and there are critical gaps in them. Medication communication scores (74) and discharge communication scores (82) are acceptable, but scores are not as high as those of the top facilities which are rated at 88 and 94, respectively (Leapfrog, n.d.). The discrepancies in performance provoke some basic questions about whether the medical center strives to develop a set of comprehensive standards of patient safety and provide evidence-based interventions in educating the patients. Table 1

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