NURS FPX 6612 Assessment 2 Quality Improvement Proposal
Community health information can be tracked in several ways to improve the quality of care, such as conducting surveys and outreach programs to collect information on community health needs and preferences (Stopa et al., 2020).Moreover, establishing a community Health Information Exchange (HIE) will enable healthcare professionals to acquire relevant health information across different healthcare entities.
One study showed that the use of HIE by clinicians helped reduce emergency visits by 53% and hospital readmission rates by 61% (Aagard et al., 2023). Another approach that can allow the aggregation and analysis of health information from diverse sources within the community is population health management tools. These include EHRs that can provide previous health record of patients and give health and disease patterns in community (Martyn et al., 2022).
Lastly, the SHH can incorporate the role of informatics in nursing care coordination by training and educating nursing staff on informatics tools. These tools allow healthcare professionals, mainly nurses, to streamline workflows and measure healthcare outcomes effectively. Quality metrics like improved patient outcomes reduced hospital readmission rates and enhanced patient satisfaction serve as tangible indicators of the positive impact of nurse informaticists in expanding HIT across healthcare organizations (Ye, 2020). The expansion of HIT within the organization will ultimately enable it to acquire ACO accreditation by following the earlier strategies.
Issues
Expanding an organization’s health information technologies to incorporate quality metrics within SHH requires careful consideration of several issues, including lack of integration for quality metrics, ineffective data standardization, and limited automation in reporting processes. As SHH’s
EHR is outdated, healthcare professionals may encounter a lack of seamless integration for capturing and monitoring quality metrics, leading to inefficiencies in data collection and reporting. Moreover, inconsistent data standards across the organization can hinder accurate and meaningful aggregation of quality metrics. This impedes the ability to derive actionable insights from the gathered data. Furthermore, the manual reporting process may be time-consuming and prone to errors, which limits the organization’s capacity to generate real-time, reliable, quality metric reports (Tayefi et al., 2021).
Proposed Solutions with Rationale
The proposed solutions for these issues include enhancing HIT integration and improving the efficiency of EHR systems that specifically cater to capturing and tracking quality metrics. The rationale for introducing HIT integration within SHH for quality metrics is to improve overall efficiency by eliminating silos in data collection, It ensures that relevant data is captured seamlessly during routine patient care activities and healthcare burnout due to hectic workload is reduced (Martyn et al., 2022). Additionally, it is essential to introduce standardized data elements and protocols within the HIT framework to ensure consistency in quality metric reporting.
This facilitates accurate data aggregation. Similarly, standardized data elements guarantee consistency in reporting and allow accurate comparisons and analyses. This consistency is essential for benchmarking against industry standards and identifying areas for improvement. Integrate automated reporting tools into the HIT system, which will reduce the manual workload, and the extraction and compilation of the health data process will be streamlined (Hadasik & Kubiczek, 2021).
Information Gathering in Healthcare
The primary emphasis of information collection in healthcare centers on acquiring, analyzing, and interpreting data to inform decision-making and improve patient care. Moreover, it guides organizations in developing various organizational practices. Integrating robust information-gathering mechanisms empowers healthcare organizations to respond proactively to evolving patient needs and industry trends (Renoux et al., 2020). In SHH, information gathering on patient health data will form the foundation for personalized care plans and clinical decision-making. This will require collecting comprehensive patient health data, past medical histories, lab results, and treatment plans.
Information collection plays a role in assessing the effectiveness of care delivery and making improvements based on the results after collecting and analyzing health information. For example, adequate information collection within the healthcare system can obtain patient satisfaction scores, clinical health outcomes, and adherence to evidence-based practices (Mubarakali, 2020). Financial information such as re