NUR 690 Data Gathering and Analysis Assignment Help

NUR 690 Data Gathering and Analysis Assignment Help

Data Gathering and Analysis

Effective practicum planning requires deliberate identification and analysis of data to support evidence-based decision-making. According to Cole et al. (2022), within ambulatory postoperative care, electronic health record optimization depends on understanding current performance, workflow variation, and information gaps. Data collection enables stakeholders to clearly define problems, justify system configuration changes, and objectively evaluate outcomes. Careful data analysis ensures technology solutions address real operational needs rather than perceived deficiencies. Accurate, relevant data support accountability, efficiency, and patient safety. This assignment explores the specific data required to guide successful completion of the practicum project. It emphasizes aligning clinical goals with measurable indicators, engaging interdisciplinary teams, and using continuous feedback to strengthen implementation, sustainability, and meaningful improvements across ambulatory postoperative care settings nationwide.

Baseline and Project-Specific Data

Baseline data is necessary to describe current discharge education and follow-up practices within the ambulatory postoperative unit. Required baseline measures include discharge documentation completion rates, patient education consistency, follow-up communication frequency, readmission rates, and post-discharge patient inquiries. Project-specific data focus on EHR-supported interventions, including utilization of standardized discharge templates, automated follow-up message delivery, clinician documentation compliance, and response rates. Additional data includes workflow timestamps and reporting accuracy. Collectively, these data quantify improvement opportunities and provide measurable indicators to evaluate the effectiveness of the proposed informatics solution (Huidekoper & Routman, 2025). Systematic data collection strengthens clinical insight, supports objective comparison over time, and guides targeted adjustments that enhance care coordination, patient understanding, and continuity during postoperative recovery across ambulatory clinical settings.

Steps for Data Gathering

Data gathering will follow a structured, sequential approach aligned with organizational governance. Initial steps include obtaining approval for data access and confirming reporting parameters within the EHR. The team will review existing system reports to extract baseline metrics related to discharge education and follow-up. Workflow mapping will validate where data is generated and documented. Pilot testing environments will support the collection of project-specific data during configuration testing. Ongoing data validation will ensure accuracy and completeness. The team will aggregate, analyze, and summarize findings to inform design decisions, monitor progress, and support evaluation throughout the practicum timeline. This approach promotes transparency, accountability, and evidence-based improvement across implementation phases through leadership oversight and continuous quality improvement standards.

Subject Matter Experts Needed

Subject matter experts are essential for accurate and meaningful data collection, ensuring that project outcomes are reliable and actionable. Clinical informatics specialists provide expertise in EHR functionality, reporting tools, and data extraction methods, facilitating efficient and accurate retrieval of relevant information. Nursing leaders contribute insight into discharge workflows, documentation practices, and patient education processes, ensuring that clinical operations are well represented. Surgeons and advanced practice providers offer critical perspectives on postoperative recovery expectations and follow-up needs, supporting patient-centered care planning. Health information management professionals uphold data integrity, coding accuracy, and regulatory compliance. Quality and safety analysts guide outcome measurement, benchmarking, and performance indicators, while information technology security staff ensure data access adheres to privacy policies and organizational cybersecurity requirements, protecting sensitive patient information throughout the project lifecycle.

Interprofessional Collaboration and Team Dynamics

Interprofessional collaboration will guide data-gathering activities through shared accountability and coordinated communication. Clear role delineation ensures that each discipline contributes expertise efficiently and avoids duplication. Regular interdisciplinary meetings will promote transparency and enable the timely resolution of data-related challenges. Collaborative decision-making will respect clinical priorities, organizational standards, and patient-centered goals. Principles of effective team dynamics, such as open communication, mutual respect, and active engagement, will support stakeholder participation. Structured feedback mechanisms will allow team members to validate findings and interpretations, ensuring accuracy and relevance. Agustina et al. (2025) highlight that applying collaborative practice concepts ensures data collection reflects real-world workflows, strengthens stakeholder buy-in, and promotes sustainable, informatics-driven improvements that enhance patient care quality, safety, and overall operational efficiency in ambulatory postoperative settings.

Importance of Subject Matter Experts

Subject matter experts are critical to project success because accurate data interpretation relies on contextual knowledge and practical insight. Clinical experts ensure that measures reflect meaningful patient outcomes rather than isolated or superficial metrics. At the same time, informatics professionals translate these clinical requirements into technically feasible data structures that the EHR can support. Quality and compliance experts confirm that processes align with regulatory standards and organizational policies. Mutual respect across disciplines fosters open dialogue, minimizes conflict, and encourages collaborative knowledge sharing. Dudala (2022) notes that without mutual respect, data interpretation risks bias, resistance, or misalignment. Maintaining a respectful environment strengthens decision-making, enhances data reliability, and increases the likelihood of successful project implementation and sustained adoption across healthcare teams.

Advantages and Limitations of Data Analytics

The data-gathering process highlights both strengths and limitations of data analytics in health informatics. Analytics provide objective insight into workflow performance, documentation consistency, and outcome trends, enabling evidence-based decision-making and targeted improvements. Automated reporting enhances efficiency and scalability and supports ongoing performance monitoring. According to Hants et al. (2023), however, analytics are only as reliable as the underlying data; incomplete, inconsistent, or inaccurate documentation can compromise results. Quantitative metrics may fail to capture patient experience, context, or nuanced clinical considerations, necessitating complementary qualitative input. Balanced and thoughtful use of analytics ensures informed problem-solving, guides effective interventions, and prevents overreliance on numerical indicators, supporting both operational excellence and patient-centered care in health informatics initiatives.

Integration of Business, Human, and Technology Factors

The data-gathering plan reflects an understanding of the interrelatedness of business priorities, human factors, and information technology in project implementation. Business objectives guide the selection of metrics related to cost, efficiency, and quality, ensuring alignment with organizational goals. Human factors inform workflow-sensitive data collection, usability considerations, and active stakeholder engagement, promoting accurate and practical information gathering. Information science and technology support structured data capture, automation, and reporting, enhancing efficiency and consistency. Aligning these elements ensures that the collected data is meaningful, actionable, and sustainable (Lyu, 2025). Neglecting any component can lead to misalignment, inefficiency, and limited utility. Integrating organizational strategy, user experience, and technical capability strengthens project relevance and overall success. This comprehensive approach ensures data-driven decisions support effective EHR optimization and improved postoperative discharge outcomes.

References

Agustina, E., Dradjat, R. S., Wardhani, V., & Putra, K. R. (2025). Developing a maturity-level model for interprofessional collaboration in elective surgery preparation. Narra J, 5(2), e2213-e2213. https://doi.org/10.52225/narra.v5i2.2213

Cole, C. L., Cheriff, A. D., Gossey, J. T., Malhotra, S., & Stein, D. M. (2022). Ambulatory systems: Electronic health records. In Health informatics (1^st ed.) (pp. 61–94). Productivity Press.

Dudala, H. (2022). Ethical data governance: Reducing bias for enterprise success hareesh. International Journal of Research Radicals in Multidisciplinary Fields (IJRRMF), 1. http://dx.doi.org/10.2139/ssrn.5138125

Hants, L., Bail, K., & Paterson, C. (2023). Clinical decision‐making and the nursing process in digital health systems: An integrated systematic review. Journal of Clinical Nursing, 32(19-20), 7010–7035. https://doi.org/10.1111/jocn.16823

Huidekoper, J. E., & Routman, J. S. (2025). Postoperative Management of the Ambulatory Surgery Patient. International Anesthesiology Clinics, 63(1), 81–91. https://doi.org/10.1097/AIA.0000000000000460

Lyu, G. (2025). Data-driven decision making in patient management: A systematic review. BMC Medical Informatics and Decision Making, 25(1), 239. https://doi.org/10.1186/s12911-025-03072-x

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Assessment Description

This is the second of five assignments that culminate in the final practicum project presentation, found in Topic 15. 

For this assignment, you will identify the specific data needed to support your practicum project.

You will use this information for the development of your project plan.

To make informed decisions, stakeholders need information based on evidence. To provide this information, the right data must be collected and analyzed. In 500-750 words, determine what data need to be collected and analyzed to complete the practicum project.

Include the following:

1. Evaluate what baseline data and project-specific data are needed for the project to help outline the issue or gap and support the completion of the project.
2. Develop the steps you will take to gather the data.
3. Identify the subject matter experts needed to gather data.
4. Formulate a plan for how you will use interprofessional collaborative practice concepts and principles of team dynamics when conducting the data-gathering portion of your project.
5. Explain why the subject matter experts are crucial to the project success and the role they would serve. Why is mutual respect critical to project success?
6. Explain how your data gathering process demonstrates the advantages and limitations of using data analytics to solve health informatics problems.
7. Explain how your data gathering plan demonstrates an awareness of the interrelatedness of business, human factors related to stakeholders, and information sciences and technology.

Meet with your preceptor/mentor and any appropriate stakeholders to review what you have written for this task. Ensure all the criteria for the data are relevant to the proposed solution and appropriate for the organization.

Include the time it takes to complete these tasks as part of your practicum hours, to be recorded in your project plan, found in Topic 9.

You are required to cite a minimum of three scholarly resources to complete this assignment. Sources must be published within the past 5 years and appropriate for the assignment criteria and health care and health informatics content.

Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.

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