Capella 6412 Assessment 3

 Assessment 3: Manuscript for Publication

Student Name

Capella University

School of Nursing and Health Sciences, Capella University

NURS-FPX 6412 Assessment 3:

Analysis of Clinical Information Systems and Application to Nursing Practice

Prof. Name:

Date

Manuscript for Publication

The electronic treatment administration (eTAR) system electronically monitors and records resident medication and treatment administration, replacing traditional paper MARs and TARs with digital versions. The software efficiently tracks medication orders and deliveries, generating reports easily. With security features like patient photos and barcode technology, eTAR ensures maximum protection for both residents and healthcare staff members.

eTAR for an Interprofessional Care Team/Stakeholders

Collaboration among interprofessional teams and stakeholders is crucial to achieve positive outcomes and enhance patient safety and care experience. Healthcare providers from various medical specialties need to collaborate to address the complex symptoms of patients, particularly those with chronic diseases. Integration of information and expertise and working together as a team from different locations are essential for effective collaboration. NURS-FPX 6412 Assessment 3. Tools like eTAR, integrated into EHR systems, support coordination, collaboration, and shared decision-making, providing high-value care (Colicchio et al., 2019).

EHR facilitates multidisciplinary collaboration during hospital ward rounds, although certain design issues, such as social ergonomics, inclusion of paper records, and information system enhancements, need to be addressed. EHRs offer various opportunities for care coordination, data collection, access, and integration, supporting clinical decisions and improving patient care (Bardram & Houben, 2018).

The effective use of eTAR has a positive impact on record quality and workflow. The standardized eTAR format allows for quick and accurate data entry, reducing errors in medical timeframes and referral processes. Capella 6412 Assessment 3. Nurse informaticists find the eTAR system user-friendly and valuable in accurately recording patients’ information, streamlining practice and workflow (Vehko et al., 2019). The use of EHRs has been positively correlated with quality and user satisfaction (Acharya & Werts, 2019).

Enhanced Information System Workflow Promotes Safe Practice

eTAR technology enhances workflow, safe practice, and quality outcomes by facilitating the management of patient prescriptions and clinical decision-making. Bar code technology in eTAR provides instant access to resident information, NURS-FPX 6412 Assessment 3. Reducing manual clicks and automating treatment comparison. Barcoding also minimizes data entry time and human errors, leading to a decrease in medication and treatment administration errors (Yaqoob et al., 2021). The system’s follow-up reminders prevent forgotten or delayed medication, and the administration screen enables efficient management of medications and treatments (Hunt & Chakraborty, 2020).

Strategic Plan of the Organization or Practice Setting

The implementation of eTAR supports the strategic plan of the organization by enhancing financial viability and patient safety. While initial investments are required, a fully functional eTAR system leads to long-term savings and improved business. eTAR increases patient safety, healthcare quality, and productivity among healthcare professionals, particularly nurses. It reduces medication errors and enhances patient care (Stolic et al., 2022).

The practice setting benefits from eTAR through reduced documentation time, improved communication, and decreased staff workload. It improves workflow and organizational productivity, leading to enhanced patient care and communication between healthcare team members (Anandkumar, 2021). The successful implementation of eTAR depends on effective planning and testing protocols to ensure staff satisfaction and system efficacy (Aguirre et al., 2019).

Recommendations to Improve eTAR to Support Stakeholder Needs

To ensure the system’s continuity and protection of confidential information, it is recommended to have a recovery plan in case of electrical power supply issues and redundancy in data files. Training and skill assessment of healthcare workers are essential before implementation to ensure proficiency and familiarity with the system. Capella 6412 Assessment 3. Super-user training can be beneficial to facilitate smooth adoption (Rodriguez-Villa & Torous, 2019).

Capella 6412 Assessment 3

eTAR offers ways to improve organizational effectiveness, patient safety, and regulatory compliance. The successful implementation of a new electronic health record system requires careful planning, consideration of the organization’s needs, and appropriate training. NURS-FPX 6412 Assessment 3. Employing the best approach, backup systems, and training can significantly reduce usability issues and ensure a successful rollout of the eTAR system.

References

Acharya, S., & Werts, N. (2019). Toward the design of an engagement tool for effective electronic health record adoption. Perspectives in Health Information Management, 16. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6341416/ 

Aguirre, R. R., Suarez, O., Fuentes, M., & Sanchez-Gonzalez, M. A. (2019). Electronic health record implementation: A review of resources and tools. Cureus, 11(9). https://doi.org/10.7759/cureus.5649 

Anandkumar, M. (2021). Coordination and continuity through electronic medical records. Public Health behind Bars, 475–482. https://doi.org/10.1007/978-1-0716-1807-3_32 

Bardram, J. E., & Houben, S. (2018). Collaborative affordances of medical records. Computer Supported Cooperative Work (CSCW), 27(1), 1–36. https://doi.org/10.1007/s10606-017-9298-5 

Colicchio, T. K., Cimino, J. J., & Del Fiol, G. (2019). Unintended consequences of nationwide electronic health record adoption: Challenges and opportunities in the post-meaningful use era. Journal of Medical Internet Research, 21(6), e13313. https://doi.org/10.2196/13313 

Gomes, J., & Romão, M. (2018). Information system maturity models in healthcare. Journal of Medical Systems, 42(12). https://doi.org/10.1007/s10916-018-1097-0 

NURS-FPX 6412 Assessment 3: Manuscript for Publication

 Hunt, S., & Chakraborty, J. (2020). Dose verification errors in hospitals. Journal of Nursing Care Quality, 36(2), 182–187. https://doi.org/10.1097/ncq.0000000000000491 

Kluwe, F., Michelet, R., Mueller‐Schoell, A., Maier, C., Klopp‐Schulze, L., van Dyk, M., Mikus, G., Huisinga, W., & Kloft, C. (2020). Perspectives on model‐informed precision dosing in the digital health era: Challenges, opportunities, and recommendations. Clinical Pharmacology & Therapeutics, 109(1), 29–36. https://doi.org/10.1002/cpt.2049 

 Lin, Y.-K., Lin, M., & Chen, H. (2019). Do electronic health records affect the quality of care? Evidence from the HITECH Act. Information Systems Research, 30(1), 306–318. https://doi.org/10.1287/isre.2018.0813 

Rieke, N., Hancox, J., Li, W., Milletarì, F., Roth, H. R., Albarqouni, S., Bakas, S., Galtier, M. N., Landman, B. A., Maier-Hein, K., Ourselin, S., Sheller, M., Summers, R. M., Trask, A., Xu, D., Baust, M., & Cardoso, M. J. (2020). The future of digital health with federated learning. Npj Digital Medicine, 3(1), 1–7. https://doi.org/10.1038/s41746-020-00323-1 

Rodriguez-Villa, E., & Torous, J. (2019). Regulating digital health technologies with transparency: The case for dynamic and multi-stakeholder evaluation. BMC Medicine, 17(1). https://doi.org/10.1186/s12916-019-1447-x 

NURS-FPX 6412 Assessment 3: Manuscript for Publication

Stolic, S., Ng, L., & Sheridan, G. (2022). Electronic medication administration records and nursing administration of medications: An integrative review. Collegian. https://doi.org/10.1016/j.colegn.2022.06.005 

Vehko, T., Hyppönen, H., Puttonen, S., Kujala, S., Ketola, E., Tuukkanen, J., Aalto, A.-M., & Heponiemi, T. (2019). Experienced time pressure and stress: Electronic health records usability and information technology competence play a role. BMC Medical Informatics and Decision Making, 19(1). https://doi.org/10.1186/s12911-019-0891-z 

 Yaqoob, I., Salah, K., Jayaraman, R., & Al-Hammadi, Y. (2021). Blockchain for healthcare data management: opportunities, challenges, and future recommendations. Neural Computing and Applications. https://doi.org/10.1007/s00521-020-05519-w