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NURS FPX 6224 Assessment 2 Technology Evaluation and Needs Assessment

NURS FPX 6224 Assessment 2 Technology Evaluation and Needs Assessment

NURS FPX 6224 Assessment 2 Technology Evaluation and Needs Assessment

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Capella University

NURS-FPX6224 Healthcare Technology and Informatics

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Technology Evaluation and Needs Assessment

Technology evaluation and needs assessment are significant in healthcare to examine systems orderly to identify gaps in service delivery. These processes integrate stakeholder input, workflow evaluation and performance indicators to make sure they are aligned to institutional objectives. Merging both quantitative data and qualitative knowledge, one will create a solid basis of evidence-based choices and the ability to improve what they make continuously (Nair et al., 2024). This type of evaluation helps to draw the gaps in infrastructure, training requirements and innovation opportunities and guide the planning of resources and staff preparation. The test is a review of mobile applications for uploading patient-generated information in the ecosystem of Emory Healthcare.

Relevance of Needs Assessment

Any successful change initiative in Emory Healthcare is based on the needs assessment since it is a methodical and efficient identification of the gaps between current procedures and the future outcomes. By means of the systematic gathering of qualitative and quantitative data, such as patient satisfaction indicators, clinical workflow indicators, staff feedback, and equipment stock, nurse leaders gain a clear picture of the bottlenecks, resource constraints, and new demands (Nair et al., 2024). The evidence-based approach implies that any recommended intervention, either the new technology adoption or the staffing rearrangement to improve patient flow, will be straight to the point of sealing the most significant gaps, rather than using anecdote or assumption. Such needs assessments not only defend Emory in its pursuit of clinical excellence but also get the best use out of time, budget, and training money.

Need assessment helps nurse leaders to determine ways of improving care delivery using technology. To launch the process, nurse leaders are advised to conduct a review of the existing systems that may identify the underutilized digital tools, outdated platforms, and hardware bottlenecks and compare their findings with the workflow demands, such as bedside charting, administration, or interdisciplinary handoffs. At the same time, Zemmel et al. (2022) explained that front-line workers are surveyed and interviewed by leaders who identify a level of proficiency and identify training gaps that might obstruct adoption. Human competency and technical capability may also have a dual lens of defining particular, desired solutions through leaders. As an illustration, leaders can use mobile technology to record real-time records, add remote monitoring dashboards, or modify clinical decision-support algorithms to enhance process efficiency, reduce errors and enhance communication among teams.

The needs assessment process is another important skill that allows nurse leaders to possess a stringent decision-making and resource allocation methodology. Transforming the data into an action plan priority can enable the leaders to create compelling business arguments to secure executive buy-in, rationale investment in technology or training and align departmental interests with Emory Healthcare strategies to enhance quality and become more innovative. Also, the interventions based on clearly stated needs would provide a measurable benefit to the staff resource allocation, operation efficiency, and patient outcomes (Kreuter et al., 2021). This helps in leadership credibility and building a culture of evidence-based and sustained improvement.

Assumptions

The following assumptions were deemed important before the needs assessment. Daily operations and patient care processes may not be making the use of available technology as effective as possible, which leads to inefficiencies. The workers may not be adequately trained and may not be comfortable with the use of digital tools (Giebel et al., 2023). A smooth digital experience is also anticipated by the patients, and the current structure might not be good enough to satisfy those needs. And finally, there might be considerable disparities between the provided resources and the actual needs of the users, which prevent successful adoption and performance gains.

Technology Infrastructure in Healthcare

Emory Healthcare uses a broad digital ecosystem that is based on the Epic electronic health record (EHR), combined with enterprise wide picture archiving and communication system (PACS), laboratory information management and pharmacy automation. A mobile work station network on wheels allows clinicians on wheels that are secure and have Wi-Fi access to access patient records, place orders and communicate in real-time. Telehealth services facilitate primary, specialty, and postoperative visit types (Emory Healthcare, 2020). An analytics engine and data warehouse are centralized to consolidate clinical, operational, and financial data to monitor quality and make predictive models. The resources listed above contribute to efficiency through minimization of redundant documentation, simplification of the order entry and standardization of care pathways that are pre-programmed with clinical decision support. They increase efficiency with immediate notifications, such as early warning scores and drug-interaction alerts and allow coordination of multidisciplinary care across locations.

Nonetheless, there are equity concerns such as the inability to use portals and telehealth services due to language barriers among non-English speakers, low digital health literacy, and rural and unserved patients may not have broadband connectivity (Saeed and Masters, 2021). Periodical system failure or sluggish, old-fashioned integrations also pose a threat of delays in care in case of complicated cases. The first and most preferable is a patient-centered platform that adds an improved mobile application to the EHR to upload data to the provider or healthcare team. This solution must be compatible with multilingual interfaces, low-bandwidth functioning, and real-time exchange of data in both directions of home-measured vitals and symptom trackers (Solomou et al., 2025). This type of technology would make administration on the side of the registration personnel less significant and lessen the number of errors in transcription. The strategy helps Emory Healthcare achieve its efficiency, quality, and equity objectives by enabling all patient groups, irrespective of language, literacy and geography, to engage in their care actively.

Conflicting Data

Data uploading mobile applications increase the level of patient engagement and real-time monitoring, yet pose security and interoperability risks. There are those clinicians who fear they will make work more complex, put their minds under strain, and burnout out. On the contrary, the supporters like Solomou et al. (2025) are of the opinion that these problems can be addressed by specialized training, careful adoption, and effective protection of privacy. The decision-makers need to objectively weigh possible benefits and costs as well as equity before seeking a wide-scale implementation.

Technology’s Impact on Outcomes

A better patient-centered mobile application at Emory Healthcare would address endemic disconnects in continuity, timeliness, and accuracy of data in clinical outcomes and nurse practice. The application will be able to support real-time submission of home-based vital monitoring, symptom diaries, and pre-visit surveys, which will reduce the time lag in identifying clinical dysfunction and decrease errors in transcription that occur due to paper-based reporting (Murabito et al., 2024). According to Samal et al. (2021), continuous data streams could enable nurses to detect initial signs of heart failure worsening as well as the absence of medication adherence before the problems arise.

An increase in monitoring outside the hospital walls implies that the care teams will have situational awareness and reduce the number of preventable readmissions and adverse events, promoting the health equity of the cohort of patients with limited access to in-person follow-ups. The app should be developed on top of the current Epic EHR infrastructure of the Emory organization. It should be able to maintain an instance of bidirectional interoperability by providing fast healthcare interoperability resources (FHIR)-based application programming interface (APIs) to enable automatic patient-entered data into nursing dashboards and clinical decision-support alerts to be fired without having to enter the data manually.

Implementation and Patient Engagement

The first step of the implementation will be to select a pilot at the heart-failure clinic to begin the process, and then the rapid iterative cycles of feedback with frontline nurses or information technology experts (Giordan et al., 2022). The adoption strategy will culminate in the implementation at the enterprise level and frequent system releases, which will result in smooth adoption. The skills necessary for both nurses and patients will be offered through complementary e-learning materials and practical workshops, and unit-based designated super-user champions will facilitate change management to ensure a flawless migration of the legacy processes to the new mobile workflow.

The improved mobile data-upload solution, once in place, will facilitate the active involvement of patients in the treatment process, promote self-management, satisfaction, and trust. Enriched and more current data are available to clinicians to help them work out personalized care plans, leading to a decrease in complications and the length of stay (Willems et al., 2021). Organizational is reduced avoidable admissions and simplify charting processes result in cost-saving and better throughput. Instant access to patient-reported measurement is beneficial to the nursing team in the planning, prioritization, and handoff stages of care, allowing employees to spend their time directly engaging with a patient, enabling professional autonomy, and enhancing job satisfaction (Willems et al., 2021). To conclude, Emory Healthcare’s adherence to efficient, high-quality, and equitable care can be applicable to this technology because of decreased readmission rates, higher patient experience scores, and engaged nursing staff.

Improving Collaboration and Efficiency

An app-specific system of uploading patient-generated data establishes a single information flow providing nurses, physicians, pharmacists and care coordinators throughout Emory Healthcare. In contrast to the existing combination of portal messages and paper logs that are received frequently with delays or in siloes, the FHIR-based integration of the app delivers structured entries in Epic dashboards (Lobach et al., 2022). This common opinion facilitates the simplification of handoffs, facilitates interdisciplinary huddles, and minimizes duplicating contacts. The app supports unified care planning and a faster decision-making process concerning treatment modifications because of the ability to display the same to all team members, vitals and symptoms patterns, with time stamps.

Workflow Efficiency and Automation

The app will eliminate the variation of phone reports and manual transcription to standardize data capture using established thresholds and automatic notifications (e.g., abnormal blood pressure or increasing weights). Such notifications elicit instant clinical decision support in the EHR, instigating prompt interventions, including sepsis policies or drug prescriptions, that the present retrospective review procedure often lacks (Baron and Haick, 2024). The validity of electronically validated data and the possibility of minimizing the risk of transcription and information lapses ensure that adverse events and vulnerable patients are minimized.

The mobile app will decrease the burdens of registration and nursing staff through the elimination of paper forms and duplication of charting. Rather than patients faxing or coming with handwritten logs, entries are uploaded automatically, reducing the hours of lag in chart completions to minutes. Briggs et al. (2024) indicated that automated importation of home-measured vitals has substituted the unnecessary order entries and manual reconciliation, thus allowing clinicians to direct their attention to patients. This simplified procedure is better than current working processes because it enhances workflow, maximizes staff resources, and complies with the objectives of Emory, which is to provide efficient and patient-centered services.

Knowledge Gaps

Although the design is strong, there is still uncertainty regarding the rate of adoption by patients and digital literacy among the population. There is no clarity on how the variability of network bandwidth will affect the performance of the apps in rural, underserved areas. Data privacy and cybersecurity measures must be further verified in order to guarantee adherence and user confidence (Solomou et al., 2025). The issue of the long-term consequences of consistent remote monitoring on the workload of clinicians and alert fatigue has not yet been researched.

Supporting Equitable Patient Care

The self-generated information of the patient posted on a mobile application helps in providing fair healthcare services at Emory by using multilingual user interfaces, font-size adjustments, and low-bandwidth options, which address patients with poor English or visual disabilities as well as rural connectivity issues. In contrast to the combination of the MyChart portal and paper records that usually does not cover non-English speakers and those who do not have good internet access, the app can be designed in such a way that all patients can send reports of vitals and symptoms in a language and a format of their choice (Emory Healthcare, 2023). The technology will improve inclusive involvement and achieve the goal of promoting health equity by reducing technical and linguistic barriers, as Emory stands behind its health equity beliefs.

Enhanced Accessibility and Equity

The standardized and time-stamped results of the use of the app are used to generate uniform clinical decision support triggers across varying groups of patients, reducing the variability of care. Unlike the use of retrospective and subject-to-error transcriptions of hand-written logs or phone updates, which may take up to an hour to be received, automated alerts of out-of-range indicators will trigger urgent interventions for any patient, irrespective of their background. This real-time observing will help to address outcome disparities in chronic conditions (e.g., hypertension, diabetes) as the particularly vulnerable groups could be made to be subjected to the same proactive care interventions as more digitally fortunate patients (Mihevc et al., 2025).

The asynchronous nature of posting data enables the application to be more accessible to Emory when data could not be posted during the usual office hours and geographic coverage, as it would otherwise restrict access of the patients to the remote monitoring features and prompt provider responses. Unlike telehealth solutions that need fast Internet speeds and live video, the low data footprint of the app and optional SMS notifications enable resource-capped patients to use the app without turning off connectivity requirements (Salama et al., 2025). The outcome of this flexibility is enhanced access to follow-up care, education modules, and outreach of care coordinators so that all patients can access the entire range of Emory clinical resources.

Assumptions

The explanation is supported by a number of assumptions. All demographic patients have access to smartphones and are literate; a multilingual interface must be able to break language barriers with ease, and sporadic connectivity should be adequate with low-bandwidth modes. It also assumes that the clinicians will have the opportunity to monitor and act on incoming data continuously. It assumes that trust with the patients will develop on the basis of the data privacy protection (Solomou et al., 2025). Lastly, it presupposes organizational assistance in the needed training and infrastructure.

Conclusion

Needs assessments are able to enable the Emory nurse leaders to identify the technology gaps, coordinate evidence-based interventions, and allocate resources to attain strategic objectives. It improves patient involvement, patient outcomes, patient safety, patient efficiency, and patient fair access, improving the quality of care, minimizing readmissions, and empowering nursing workflow satisfaction. Having a sense of data-based decisions and inclusive design, Emory should guarantee effective implementation, quantifiable outcomes, and patient-centered treatment among a variety of populations.

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References for
NURS FPX 6224 Assessment 2

Baron, R., & Haick, H. (2024). Mobile diagnostic clinics. American Chemical Society Sensors9(6), 2777–2792. https://doi.org/10.1021/acssensors.4c00636

Briggs, J., Kostakis, I., Meredith, P., Dall’ora, C., Darbyshire, J., Gerry, S., Griffiths, P., Hope, J., Jones, J., Kovacs, C., Lawrence, R., Prytherch, D., Watkinson, P., & Redfern, O. (2024). Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: An observational study. Health and Social Care Delivery Research12(6), 1–143. https://doi.org/10.3310/HYTR4612

Emory Healthcare. (2020). Telehealth, telemedicine and online doctor visits at Emory Connected Carehttps://www.emoryhealthcare.org/patients-visitors/patient-resources/emory-connected-care

Emory Healthcare. (2023). MyChart frequently asked questions FAQs and answers—Emory Healthcare. Emoryhealthcare.org. https://www.emoryhealthcare.org/patients-visitors/patient-resources/mychart-faq

Giebel, G. D., Speckemeier, C., Abels, C., Plescher, F., Börchers, K., Wasem, J., Blase, N., & Neusser, S. (2023). Problems and barriers related to the use of digital health applications: Scoping review. Journal of Medical Internet Research25, e43808. https://doi.org/10.2196/43808

Giordan, L. B., Ronto, R., Chau, J., Chow, C., & Laranjo, L. (2022). Use of mobile apps in heart failure self-management: Qualitative study exploring the patient and primary care clinician perspective. Journal of Medical Internet Research Cardio6(1), e33992. https://doi.org/10.2196/33992

Kreuter, M. W., Thompson, T., McQueen, A., & Garg, R. (2021). Addressing social needs in health care settings: Evidence, challenges, and opportunities for public health. Annual Review of Public Health42, 329–344. https://doi.org/10.1146/annurev-publhealth-090419-102204

Lobach, D. F., Boxwala, A., Kashyap, N., Huls, K. H., Chiao, A. B., Rafter, T., Lomotan, E. A., Harrison, M. I., Dymek, C., Swiger, J., & Dullabh, P. (2022). Integrating a patient engagement app into an electronic health record-enabled workflow using interoperability standards. Applied Clinical Informatics13(5), 1163–1171. https://doi.org/10.1055/s-0042-1758736

Mihevc, M., Lukančič, M. M., Zavrnik, Č., Potočnik, T. V., Gorenjec, N. R., Šter, M. P., Ketiš, Z. K., & Susič, A. P. (2025). Impact of 12-month mHealth home telemonitoring on clinical outcomes in older individuals with hypertension and type 2 diabetes: Multicenter randomized controlled trial. Journal of Medical Internet Research mHealth and uHealth13, e59733. https://doi.org/10.2196/59733

NURS FPX 6224 Assessment 2 Technology Evaluation and Needs Assessment

Murabito, J. M., Faro, J. M., Zhang, Y., DeMalia, A., Hamel, A., Agyapong, N., Liu, H., Schramm, E., McManus, D. D., & Borrelli, B. (2024). Smartphone app designed to collect health information in older adults: Usability study. Journal of Medical Internet Research Human Factors11, e56653. https://doi.org/10.2196/56653

Nair, M., Svedberg, P., Larsson, I., & Nygren, J. M. (2024). A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design. The Public Library of Science ONE19(8), e0305949. https://doi.org/10.1371/journal.pone.0305949

Saeed, S. A., & Masters, R. M. (2021). Disparities in health care and the digital divide. Current Psychiatry Reports23(9), 61. https://doi.org/10.1007/s11920-021-01274-4

Salama, A., Saatchi, R., Bagheri, M., Shebani, K., Javed, Y., Balaraman, R., & Adhikari, K. (2025). A fuzzy logic-based ehealth mobile app for activity detection and behavioral analysis in remote monitoring of elderly people: A pilot study. Symmetry17(7), 7. https://doi.org/10.3390/sym17070988

Samal, L., Fu, H. N., Camara, D. S., Wang, J., Bierman, A. S., & Dorr, D. A. (2021). Health information technology to improve care for people with multiple chronic conditions. Health Services Research56(1), 1006–1036. https://doi.org/10.1111/1475-6773.13860

Solomou, T., Mappouras, S., Kyriacou, E., Constantinou, I., Antoniou, Z., Canciu, I. C., Neophytou, M., Lantos, Z., Schizas, C. N., & Pattichis, C. S. (2025). Bridging language barriers in healthcare: A patient-centric mobile app for multilingual health record access and sharing. Frontiers in Digital Health7https://doi.org/10.3389/fdgth.2025.1542485

Willems, S. H., Rao, J., Bhambere, S., Patel, D., Biggins, Y., & Guite, J. W. (2021). Digital solutions to alleviate the burden on health systems during a public health care crisis: COVID-19 as an opportunity. Journal of Medical Internet Research mHealth and uHealth9(6), e25021. https://doi.org/10.2196/25021

Zemmel, D. J., Kulik, P. K. G., Leider, J. P., & Power, L. E. (2022). Public health workforce development during and beyond the COVID-19 pandemic: Findings from a qualitative training needs assessment. Journal of Public Health Management and Practice28(5), 263–270. https://doi.org/10.1097/PHH.0000000000001524

Capella Professors to choose from for
NURS-FPX6224

  • JacQualine Abbe.
  • Angela Candidi Larson.

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NURS FPX 6224 Assessment 2

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Question 2: What is NURS FPX 6224 Assessment 2 Technology Evaluation and Needs Assessment?

Answer 2: Evaluation of healthcare technology and assessing organizational needs.

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