NURS FPX 8012 Assessment 2 Proposal for a Change NURS-FPX 8012 Nursing Technology and Health Care Information Systems

NURS FPX 8012 Assessment 2 Proposal for a Change NURS-FPX 8012 Nursing Technology and Health Care Information Systems

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Introduction

Villa Health aims to address inefficiencies in patient services by implementing a CDS system, aligning with the standards set by the Agency for Healthcare Research and Quality (AHRQ) through the National Quality Strategy (NQS). This paper explores criteria outlined by the AHRQ, including the three aims and six priority areas, and the four levels of CDS system implementation.

Standards and Specifications Criteria

Criteria

Description

Problem Identification Initiation Initiating the process to identify clinical problems and needs that can be addressed by a CDS system.
Guideline Development Developing evidence-based guidelines that the CDS system will use to support clinical decision-making.
Legally Valid Implementation Plan Creating a plan that complies with legal standards and regulations, ensuring proper implementation of the CDS system.
HL7 Arden Syntax or Equivalent Systems for Formal Schema Preparation Utilizing HL7 Arden Syntax or equivalent systems to formalize the structure and rules used by the CDS system.
IT Health Architecture Establishing a robust IT architecture, such as SAGE or SEBASTIAN, to support the implementation and operation of the CDS system.

Comparison of Technologies

Health IT systems, including CDS systems, are often compared based on features, support capabilities, real-time data analysis, scalability, and utility to different stakeholders. This paper examines factors influencing the choice of a CDS system, considering the needs of nurses, physicians, and staff in decision support.

Legal and Ethical Issues

The implementation of a CDS system must comply with government regulations and mandates related to patient data confidentiality. Access control policies, storage, and transmission policies should align with the Affordable Care Act (ACA) and other relevant laws. Ethical considerations, such as recognizing patient vulnerabilities and facilitating access and service delivery, must be prioritized in the system’s design.

Technology Impact

The positive impact of the proposed CDS system includes an improved workflow centered around patient welfare. Real-time access to diagnostic data empowers healthcare professionals to make quicker and more effective decisions. However, the potential risk of over-reliance on the system and reduced communication efficiency needs to be addressed through proper design and implementation.

Future Relevance

The proposed CDS system is expected to remain relevant for five to ten years with regular maintenance and upgrades. As healthcare continues to digitize for efficiency and productivity, decision support systems play a crucial role in assisting healthcare professionals and enhancing the quality of care.

Stakeholder Influence

Engagement of both internal and external stakeholders is crucial for the successful implementation of the CDS system. Regular meetings with internal stakeholders, including patients, nurses, physicians, and hospital staff, will provide insights and feedback. External stakeholders, such as government regulators, ethics boards, and investors, should be engaged through written communication and meetings to analyze the system’s need, explain costs, and discuss returns on investment.

Conclusion

This paper discusses the proposed technology change at Villa Health, focusing on the implementation of a CDS system to address inefficiencies in patient services. By adhering to established standards, considering legal and ethical aspects, and involving stakeholders, Villa Health aims to enhance healthcare delivery, improve patient outcomes, and contribute to elevated community health standards.

References

Berner, E. S. (2016). Clinical Decision Support Systems: Theory and Practice. Springer.

Butts, J. B., & Rich, K. L. (2019). Nursing Ethics Across the Curriculum and into Practice. Jones & Bartlett Learning.

Cerrato, P., & Halamka, J. (2020). Reinventing Clinical Decision Support-Data Analytics, Artificial Intelligence, and Diagnostic Reasoning. Taylor & Francis.

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