NURS FPX 6612 Potential Problems with Data Gathering Systems and Outputs

NURS FPX 6612 Assessment 2 Quality Improvement Proposal

Additionally, healthcare organizations can collect data on staff performance and training or education. This information will guide SHH in developing strategies that ensure all healthcare workforce remains up-to-date with the latest advancements and the best evidence-based practices (Kumar et al., 2019). All this information helps organizations make informed clinical decisions, optimize resource allocation, and improve patient outcomes. For example, the hospital identifies gaps in post-discharge care by analyzing readmission rates and patient feedback. This led to the development of comprehensive transitional care programs and reduced hospital readmission rates.

Potential Problems with Data Gathering Systems and Outputs

Following are some potential problems that may arise with data gathering systems and output:

• Healthcare professionals enter inaccurate data due to human errors or outdated information, leading to unreliable data. Moreover, misinterpreting complex data can lead to incorrect conclusions and misguided decision-making. Uncertainties may arise due to the varying skill levels of individuals entering data, differing interpretations of data entry guidelines, or system-related issues. Additionally, inadequate data can result in biased or incomplete analyses, impacting patient care and outcomes. This can be overcome by automated data validation checks and regular audits to enhance data accuracy (Morris et al., 2021). 
• While the HIT facilitates data sharing, there are risks of data breaches, inadequate security measures, and authorized access, which can compromise sensitive patient information. Uncertainties may stem from evolving cybersecurity threats, the potential for internal data breaches, and compliance with ever-changing data protection regulations.  Data governance policies can lead to better data quality and security. By employing robust cybersecurity protocols and policies on securing health data in technological software, best practices can be obtained for securing patient health information (Kioskli et al., 2021). 

NURS FPX 6612 Assessment 2 Quality Improvement Proposal

• Interoperability challenges cause hindrances in seamless data exchange due to incompatibility among different systems. Uncertainties may arise from incompatible data formats, interoperability issues between systems, and evolving standards in healthcare data exchange. The insightful suggestion to overcome this issue is to adopt standardized data formats and promote investing in technologies to facilitate seamless data exchange (StClair et al., 2020). 
• Information trapped in isolated databases or departments can impede a comprehensive view of patient care. Different data structures and incompatible systems contribute to data silos, leading to fragmented care. This is prevented by implementing integrated health information systems and encouraging cross-departmental collaboration to promote care coordination and better decision-making (Ranchal et al., 2020).

Conclusion

The HIT expansion is crucial for SHH to acquire ACO accreditation, as HIT promotes the incorporation of quality metrics that manifest the quality of care delivered. Several ways can be employed to enhance the HIT expansion, including maintaining EHR, developing computerized CDSS systems, and automated reported systems.

The information collection within SHH can guide the organizations in the decision-making process, financial sustainability, and analysis of the quality of care provided to patients. The potential problems in data gathering systems include data inaccuracy or interpretation, data interoperability issues, and security issues. These issues must be addressed adequately and efficiently to achieve the goal of acquiring ACO accreditation.

References

Aagard, C. S., Glenn, J., Nañez, J., Crawford, S. B., Currey, J. C., & Hartmann, E. (2023). The impact of community health information exchange usage on time to reutilization of hospital services. The Annals of Family Medicine, 21(1), 19–26. https://doi.org/10.1370/afm.2903 

Hadasik, B., & Kubiczek, J. (2021). On enhancing and automating the COVID-19 case reporting system in Poland. Humanities & Social Sciences Reviews, 9(4), 209–213. https://doi.org/10.18510/hssr.2021.9429