NURS-FPX 6412 Assessment 1: Policy and Guideline for the Informatics Staff

Capella 6412 Assessment 1

 Assessment 1: Policy and Guideline for the Informatics Staff

Student Name

Capella University

School of Nursing and Health Sciences, Capella University

NURS-FPX 6412 Assessment 1:

Analysis of Clinical Information Systems and Application to Nursing Practice

Prof. Name:

Date

Policy and Guidelines for the Informatics Staff: Making Decisions to Use Informatics System

One of the most commonly utilized and discussed Electronic Health Records (EHR) tools in this project is Electronic Treatment Administration (eTAR). EHR involves digital technology for patient data collection and distribution.

Functions of Electronic Treatment Administration (eTAR):

1. Convenient tool for Electronic Medication and Treatment administration.
2. Effective documentation of medication and treatment administration (McConeghy et al., 2021).
3. Maintaining accuracy in the healthcare sector.
4. Keeping documentation up to date for doses, treatment, and procedures.
5. Issuing alerts for nurses regarding vital patient assessments and maintaining Electronic Care Flow Sheets (Kataria and Ravindran, 2020).

Evaluation of the Function of eTAR Related to Evidence-Based Practice:

eTAR is used to enhance nurse service by employing paperless electronic care strategies. It is utilized for both acute and post-acute patient care. It creates e-charts with all patient information and treatments. It allows for easy documentation of medications, treatments, and patient-specific effects. The system issues reminders for vital sign checks and medication administration. Reorder buttons are available for insufficient medication orders. NURS-FPX 6412 Assessment 1: Policy and Guideline for the Informatics Staff. This process is followed for each patient involved, and a summary page with relevant statistics is generated at the end of each session (Li et al., 2021; Ludwikowska, 2018).

Guidelines Reflecting Analysis of Work Setting:

The eTAR system legitimizes the patient experience and prevents discrepancies in the care process. It ensures accuracy in patient credentials, health conditions, and updates. The system also includes medication routes, surgical and non-surgical procedures, and expected outcomes. It allows for easy documentation of any unfulfilled medical or surgical orders. These notes become part of the patient’s EHR and facilitate communication between nurses and doctors (Quinn et al., 2019).

eTAR Supporting Strategic Plan:

eTAR contributes significantly to the strategic planning of effective patient care. The primary goal of strategic planning is patient safety, and eTAR ensures automation and effectiveness by communicating registered data. New orders are prioritized using NetSolutions Clinical decisions software, and patients have control over their data and can access their treatment history. Clinical Decision Support (CDS) improves care quality by providing validated data to care providers (Robertson et al., 2019).

Assessment of Workflow to Maximize Efficiency:

eTAR’s digitized data collection makes care provision effective, and its features enhance convenience. Quick links for navigation, recaps to keep current orders upfront, two-step verification for patient data access, and an easy-to-use interface improve efficiency. Relevant information, such as drug details and clinical teaching, is readily available. The system issues alerts for vital checks and treatment maintenance. Barcoding ensures secure storage of patient data (Tapuria et al., 2021).

eTAR Contribution to Inter-Professional Care:

eTAR supports coordinated interprofessional collaborative patient practice (ICP) by maintaining access to patient information. It enhances communication and collaboration between interdisciplinary teams, including nurse informatics and physicians, to improve patient satisfaction. Reports from eTAR aid interprofessional teams in documenting and communicating effective care (Quinn et al., 2019).

Conclusion:

eTAR proves to be an effective EHR tool for maintaining up-to-date patient data, enhancing patient safety, and improving the performance of healthcare providers. Its features support evidence-based practice, efficient workflow, and interprofessional care, making it a valuable addition to the healthcare system.

References

Kataria, S., & Ravindran, V. (2020). Electronic health records: A critical appraisal of strengths and limitations. Journal of the Royal College of Physicians of Edinburgh, 50(3), 262–268. https://doi.org/10.4997/jrcpe.2020.309 

Li, E., Clarke, J., Neves, A. L., Ashrafian, H., & Darzi, A. (2021). Electronic Health Records, Interoperability and Patient Safety in Health Systems of High-income Countries: A Systematic Review Protocol. BMJ Open, 11(7), e044941. https://doi.org/10.1136/bmjopen-2020-044941 

‌Ludwikowska, K. (2018). Evidence-based training approach in organizational practice. Modern Management Review. https://doi.org/10.7862/rz.2018.mmr.48 

McConeghy, K. W., Cinque, M., White, E. M., Feifer, R. A., Blackman, C., Mor, V., Gravenstein, S., & Zullo, A. R. (2021). Lessons for deprescribing from a nonessential medication hold policy in US nursing homes. Journal of the American Geriatrics Society, 70(2), 429–438. https://doi.org/10.1111/jgs.17512 

NURS-FPX 6412 Assessment 1: Policy and Guideline for the Informatics Staff

Quinn, M., Forman, J., Harrod, M., Winter, S., Fowler, K. E., Krein, S. L., Gupta, A., Saint, S., Singh, H., & Chopra, V. (2019). Electronic health records, communication, and data sharing: Challenges and opportunities for improving the diagnostic process. Diagnosis, 6(3), 241–248. https://doi.org/10.1515/dx-2018-0036‌

Robertson, B., McDermott, C., Star, J., Lewin, L. O., & Spell, N. (2020). Synchronous virtual interprofessional education focused on discharge planning. Journal of Interprofessional Education & Practice, 100388. https://doi.org/10.1016/j.xjep.2020.100388‌ 

Tapuria, A., Porat, T., Kalra, D., Dsouza, G., Xiaohui, S., & Curcin, V. (2021). Impact of patient access to their electronic health record: Systematic review. Informatics for Health and Social Care, 46(2), 194–206. https://doi.org/10.1080/17538157.2021.1879810