NURS 6051 Discussion The Application of Data to Problem-Solving

Sample Answer for NURS 6051 Discussion The Application of Data to Problem-Solving Included After Question

In the modern era, there are few professions that do not to some extent rely on data. Stockbrokers rely on market data to advise clients on financial matters. Meteorologists rely on weather data to forecast weather conditions, while realtors rely on data to advise on the purchase and sale of property. In these and other cases, data not only helps solve problems, but adds to the practitioner’s and the discipline’s body of knowledge.

Of course, the nursing profession also relies heavily on data. The field of nursing informatics aims to make sure nurses have access to the appropriate date to solve healthcare problems, make decisions in the interest of patients, and add to knowledge.

In this Discussion, you will consider a scenario that would benefit from access to data and how such access could facilitate both problem-solving and knowledge formation.


Be sure to review the Learning Resources before completing this activity.
Click the weekly resources link to access the resources.


To Prepare:

  • Reflect on the concepts of informatics and knowledge work as presented in the Resources.
  • Consider a hypothetical scenario based on your own healthcare practice or organization that would require or benefit from the access/collection and application of data. Your scenario may involve a patient, staff, or management problem or gap.


Post a description of the focus of your scenario. Describe the data that could be used and how the data might be collected and accessed. What knowledge might be derived from that data? How would a nurse leader use clinical reasoning and judgment in the formation of knowledge from this experience?


Respond to at least two of your colleagues* on two different days, asking questions to help clarify the scenario and application of data, or offering additional/alternative ideas for the application of nursing informatics principles.

*Note: Throughout this program, your fellow students are referred to as colleagues.

A Sample Answer For the Assignment: NURS 6051 Discussion The Application of Data to Problem-Solving

Title: NURS 6051 Discussion The Application of Data to Problem-Solving

As healthcare providers in our medical institution, we would use nursing informatics as the data to effect any changes in our healthcare policies and processes. We are aware of how scary change can be. This data is necessary to integrate nursing science with multiple information and analytical sciences to identify, define, manage, and communicate data, information, knowledge, and wisdom in nursing practice (Sweeney, 2017). Nursing informatics is a technology available to us for problem-solving purposes, move us forward and assist us in caring for our patients. We could use the data by tracking our operating room, which has since struggled with late starts yet lagging and disrupting our timely patient care. Focusing on our struggles with starting cases on time, we can track the late codes that nurses insert in the EMR. This insertion of late codes helps us select various reasons why the “in-room” operations start late, including physician lateness, consents not signed, patient in the bathroom, room not in order, et cetera. By tracking various late codes, we will be able to access how to handle each issue individually and change ‘unsuitable’ policies to try and avoid excessive late starts. Our team will act upon the synthesized data as soon as possible since staff and patients are currently irritated with the situation at hand. However, synthesizing massive data might take several years. Therefore we shall consider the small-scale synthesis of data collected for interpretation and integration in a short period, guaranteeing a faster transformation into the new guidelines and pathways (Nagle et al., 2017).  

With that data, our nurse leaders would be better placed to meet and discuss the challenges that arise from physicians and their lateness. We would be able to identify late start policies, like “physicians to arrive 10 minutes before the scheduled surgical time.” The leadership might realize that the schedule for surgical times is not adequately communicated to the physicians concerned and find a way to resolve this problem. Using our data, we would ably see the commonality trends of how some physicians are late, others that are early and need not be talked to about lateness. Moreover, our leaders could place a standing order protocol for our pre-op nurses to use if a physician forgets to place his pre-op orders.  They would effectively identify our unprepared nurses for a bedside shift report, a possibility that can delay surgery start too. Our nurse leaders would use our EMR data to offer timely patient care. As they engage in further discussion via the potential data collection, our nurse leaders and staff nurses might develop a Foundation of Knowledge, and such knowledge might also be beneficial for other units. Such information sharing and feedback enable our medical team to make suitable changes in our department for more smooth operations (McGonigle & Mastrian, 2021). 


McGonigle, D., & Mastrian, K. (2021). Nursing informatics and the foundation of knowledge. Jones & Bartlett Publishers. 

Nagle, L. M., Sermeus, W., Junger, A., & Bloomberg, L. S. (2017). Evolving role of the nursing informatics specialist. Stud Health Technol Inform, 232, 212-22. 

Sweeney, J. (2017). Healthcare informatics. On-Line Journal of Nursing Informatics, 21(1). 

A Sample Answer 2 For the Assignment: NURS 6051 Discussion The Application of Data to Problem-Solving

Title: NURS 6051 Discussion The Application of Data to Problem-Solving

Telephone triage 

The phone rings on a busy Saturday afternoon and the pleasant voice of a registered nurse answers professionally, greeting the caller seeking advice and care. This could be a day for a typical for an ambulatory telephone triage nurse. The concept of telephone triage and consultation can be one of a registered nurse using evidence-based algorithms from electronic databases. The nurses, like most nurses, working in a progressive health care industry are using technology to counsel patients. According to McGonigue & Mastrian, (2022), “For information to be valuable, it must be accessible, accurate, timely, complete, cost-effective, flexible, reliable, relevant, simple, verifiable, and secure.” p.9. 

This information could be valuable to many leaders in the healthcare team. Accessibility would be easiest in form of electronic records and telephone recordings. McGonigue & Mastrian (2022), argue, “Computer science offers extremely valuable tools that when used skillfully, can facilitate the acquisition and manipulation of data and information by nurses, who then can synthesize the data into an evolving knowledge and wisdom base ”p. 35). Accurate and timely information could be an interest in nursing quality and control. One argument on how telephone triage could be cost-effective is that paying nurses to man the phone lines is cheaper than using inappropriate resources such as the emergency room to care that can be directed elsewhere. Flexibility, reliability, simple, verifiable and secure would require a more in-depth look into the nature of telephone triage and program development within a system, but the concept of triage nursing seems to be malleable to the interest of how the data would be used. 

An additional source of centralized evidence-based algorithm software program could also be used and from my research is being used in assisting the nurses to effectively triage the caller and ensure best practice standards. Documentation done by triage nurses would have data from the callers that are subjective and objective, the nursing assessment, and recommendations based on the call. 

From this data collection, multiple departments within healthcare could use this or would have an interest in this data collection. Intradisciplinary teams have an opportunity to look at how to retrieve data from electronic retrieval of health records or from recorded lines if those are being used.  An ambulatory nurse manager might be interested in using the data as a system educator of staff development and improvement strategy to support the training needs within their triage staff. A quality nurse might want to use this data to help in creating of protocol development and safety improvements for effective triage and outcomes. Ambulatory providers could use data to see the patient population’s interests and barriers to care and from there use it to modify their practices.  Health information technology departments within health care organizations could be supportive of this nursing department in implementing programs in making documentation more time efficient and detailed. Nursing leadership could use this as a cost-effective strategy.

NURS 6051 Discussion The Application of Data to Problem-Solving Sample
Discussion The Application of Data to Problem-Solving NURS 6051

                All departments could build off one another and become temporary team members to gain knowledge and benefit in patient care and satisfaction. Emerging roles could be created as, “Teams are working across boundaries of organizations and will be organized around a particular patient.” (Nagale et al, 2017, p. 215).   Within most healthcare systems the mission and visions of these organizations are built on patient outcomes and patient centered care. An informatics nurse specialist could support patients, nurses, providers, and leaders with the interpretation of data analytics and therefore participate in applying new knowledge from data to wisdom. (Nauright et al., 1999) 

This hypothetical scenario of a nurse working at a telephone triage call center would benefit immensely from data access, problem-solving and the process of knowledge formation. In a real-time, scenario, I could see how this could impact patient care and outcomes on a global level and be a perfect role for a nurse informatics specialist to pilot.


Nauright,L.P.,Moneyham,L.& Williamson,J.1999. Telephone triage and consultation: An emerging role 

for nurses,Nursing Outlook, 47(5) , 219-226. 


Nagle, L., Sermeus, W., & Junger, A. (2017).  Evolving Role of the Nursing Informatics Specialist Links to an external site. Links to an external site.. In J. Murphy, W. Goosen, &  P. Weber  (Eds.), Forecasting Competencies for Nurses in the Future of Connected Health (212-221). 

McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning. 

A Sample Answer 3 For the Assignment: NURS 6051 Discussion The Application of Data to Problem-Solving

Title: NURS 6051 Discussion The Application of Data to Problem-Solving

Patient falls is a scenario that would benefit from the collection and application of data in our healthcare organization. Falls have been a common and distressing event in the hospital, mostly in geriatrics. They result in severe injuries on patients, such as head trauma and fractures, which prolong hospital stay and increase healthcare costs (Venema et al., 2019). Data that could be used in relation to patient falls include the number of patient falls weekly or monthly and common conditions of patients who suffer falls (Lucero et al., 2019). In addition, data on the length of hospitalization from falls and patient costs incurred from falls can be used to address the issue of falls.

Data on patient falls can be collected from patients’ medical records where every fall incidence is documented and the events surrounding the fall. Besides, data can be collected from the hospital’s incidence reporting system. Nurses may be required to report every case of fall in the incidence reporting system, which can provide data on the total number of falls in a specific period (Lucero et al., 2019). The data can provide knowledge on patients’ at the highest risk of falls and the factors that put patients at risk of falls in the inpatient units. Data on the diseases with the highest falls can offer insight into the patients’ conditions that health providers should take additional measures to prevent falls (Lucero et al., 2019). Furthermore, the data can enlighten nurses on the gaps in patient care that contribute to patient falls and the measures they should implement to address the issue (McGonigle & Mastrian2017). The data can also provide knowledge on the nursing care interventions that need to be optimized to prevent patient falls and promote patient safety.

A nurse leader would apply clinical reasoning and judgment to generate knowledge from the experience by applying research-based knowledge from nursing as the foundation for practice (Guerrero, 2019). The leader can utilize their scientific research-based knowledge to form knowledge on nursing interventions that can be modified to reduce patient falls in the hospital and improve patient safety.

A Sample Answer 4 For the Assignment: NURS 6051 Discussion The Application of Data to Problem-Solving

Title: NURS 6051 Discussion The Application of Data to Problem-Solving

I really enjoyed reading your post and you did a great job explaining evidence-based practice and data collection. I just want to add that evidence-based practice has been used in helping healthcare workers to meet the needs of their patients and it uses two different approaches: Infusing research and data collection which empirically supports interventions in nursing practice. The process of implementing evidence-based practice interventions include the process of assessing patients’ needs, selecting the interventions and monitoring the progress by data collection. And like you rightly said proper application of data from the Braden Scale reduces this patient’s risk of acquiring hospital-acquired pressure injury (HAPI). According to the Center for Medicare and Medicaid Services, HAPI rates were reduced from 40.3 to 30.9 per 1,000 discharges between 2010 and 2014. This is due to efforts made by healthcare leaders to properly collect data on patients at risk for HAPI and ensure the implementation of preventative measures (Rondinelli et al.,)


Walden University, LLC. (Producer). (2018). Health Informatics and Population Health: Trends in Population Health [Video file]. Baltimore, MD: Author.

Rondinelli J, Zuniga S, Kipnis P, Kawar LN, Liu V, Escobar GJ. Hospital-Acquired Pressure Injury: Risk-Adjusted Comparisons in an Integrated Healthcare Delivery System. Nurs Res. 2018 Jan/Feb;67(1):16-25. doi: 10.1097/NNR.0000000000000258. PMID: 29240656; PMCID: PMC6013055.

A Sample Answer 5 For the Assignment: NURS 6051 Discussion The Application of Data to Problem-Solving

Title: NURS 6051 Discussion The Application of Data to Problem-Solving

I have spent the last 10 years working in emergency rooms as a staff nurse. One of the biggest challenges that my department faces regularly is delays with getting admitted patients out of the ED and onto their assigned units. These delays negatively impact the patients waiting for emergency treatment in the lobby and hallway stretchers. There are a number of factors that can prolong ED length of stay. Some of these include lack of bed availability due to hospital overcrowding, treatment delays such as loss of IV access, and delays caused by hospital personnel during the handoff report process (Paling et. al, 2020). Some of these factors, such as hospital overcrowding, are unavoidable and difficult to work around, which is why it is important for hospitals to assess which factors they can control to expedite patient flow out of the emergency room.

For my hospital’s scenario, the emergency department would collect data about admission delays that are specifically caused by disruptions in the nursing telephone report process. In my current workplace, there is not a standardized electronic handoff form, despite the fact that several studies have demonstrated the efficiency and increased patient safety outcomes associated with the transition to standardized electronic nursing report (Wolak et al., 2020). Instead, the ED nurse calls the receiving unit on the telephone, gives a verbal patient care handoff, and then transfers the patient to their hospital room. By collecting data about where in the handoff process delays are occurring, the ED could try to streamline the handoff process with the medical floors.
The emergency department nurses would collect quantitative data about the length of time between the first attempt to call report to the medical floor, and the time of the patient’s actual departure from the ED.

The data would be recorded in the section of the EMR called “time to disposition” for each patient that is admitted. The ED leadership team could then pull a certain number of charts per month (or all the admission charts, if time allowed) and assess how long it takes on average for patient transfer to happen after report. Generally, most hospitals set their goals for disposition time for handoff and transfer within a 30-minute window (Potts et. al., 2018). If there are frequent delays causing transfer time to take greater than 30 minutes, the ED leadership team or unit-based council could meet with leadership from the floors where patient transfer takes the longest. By demonstrating the hard numbers associated with patient care delays, the teams could better understand the factors that lead to admission delays and work together to find solutions that expedite the admissions process.


Paling, S., Lambert, J., Clouting, J., González-Esquerré, J., & Auterson, T. (2020). Waiting times in emergency departments: Exploring the factors associated with longer patient waits for emergency care in England using routinely collected daily data. Emergency Medicine Journal.
Potts, L., Ryan, C., Diegel-Vacek, L., & Murchek, A. (2018). Improving patient flow from the emergency department utilizing a standardized electronic nursing handoff process. JONA: The Journal of Nursing Administration, 48(9), 432–436.
Wolak, E., Jones, C., Leeman, J., & Madigan, C. (2020). Improving throughput for patients admitted from the Emergency Department. Journal of Nursing Care Quality, 35(4), 380–385.

A Sample Answer 6 For the Assignment: NURS 6051 Discussion The Application of Data to Problem-Solving

Title: NURS 6051 Discussion The Application of Data to Problem-Solving

This is insightful Andrea; admission delays often lead to adverse treatment outcomes. The delays in patients’ admission to different hospitals are attributed to the increased number of patients or overcrowding. The impacts of delayed admission can be severe, including longer hospital stays, the inability of patients to access appropriate beds, and experienced healthcare experts (Goertz et al., 2020). Most patients leave without getting treatment due to delayed admissions to different healthcare facilities (Paling et al., 2020). There is a need for quality improvement to facilitate improvements in admission rates. The quality improvements should rely on the data collected in the course of operation. The application of the EMR system is one of the best methods of data collection in healthcare (Pastorino et al., 2019). Measuring and recording the time taken during hospital admission is necessary for determining areas that require adjustments. Through the analysis of the collected data or information, healthcare institutions are able to initiate quality improvement processes and ensure effective outcomes in the management of patients. One of the questions that I would ask is: What variables ought to be involved in the data collection processes?


Goertz, L., Pflaeging, M., Hamisch, C., Kabbasch, C., Pennig, L., von Spreckelsen, N., … & Krischek, B. (2020). Delayed hospital admission of patients with aneurysmal subarachnoid hemorrhage: clinical presentation, treatment strategies, and outcome. Journal of neurosurgery, 134(4), 1182-1189.
Paling, S., Lambert, J., Clouting, J., González-Esquerré, J., & Auterson, T. (2020). Waiting times in emergency departments: Exploring the factors associated with longer patient waits for emergency care in England using routinely collected daily data. Emergency Medicine Journal.
Pastorino, R., De Vito, C., Migliara, G., Glocker, K., Binenbaum, I., Ricciardi, W., & Boccia, S. (2019). Benefits and challenges of Big Data in healthcare: an overview of the European initiatives. European journal of public health, 29(Supplement_3), 23-27.

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A Sample Answer 7 For the Assignment: NURS 6051 Discussion The Application of Data to Problem-Solving

Title: NURS 6051 Discussion The Application of Data to Problem-Solving

Currently, most organizations are involved in the use of data to solve different problems in the operational processes. In the healthcare system, the knowledge work of nurses is data intensive (You et al., 2018). With the technological innovation and applications in the healthcare system, healthcare institutions use complex information systems, networks and other technologies to enhance the management of financial, clinical, and epidemiological activities that must always be integrated in a meaningful way (Tekieh & Raahemi, 2015). There are different scenarios in the healthcare system where data can be applied to enhance healthcare delivery. Nurse to patient ratio has been a problem in most healthcare institutions (Gupta & Rokade, 2016). The problem is always attributed to the increase in the number of patients in the healthcare system as well as the lack of enough healthcare professionals. The application of data in this case can enhance the management of influx of patients in disaster situations and during the normal operational processes.

The data collected in the above case may involve recording number of patients who visits a healthcare facility at a given time, the reason for visits (diseases and complications), whether the patients are inpatients or outpatients, time of visit, and number of nurses and other healthcare professionals at a particular time (Chen et al., 2019). The data collected can be used to establish the rates of inflow of patients and the number of patients in the hospital at a given time, the information can then be applied in the establishment appropriate nurse to patient ratio to ensure effective patient outcome (Coviello, Avitabile, & Florio, 2020). In the above case, data can be collected through the electronic medical record (EMR) systems. With the EMR system, the data is always captured at the point of admission, during diagnosis, treatment processes, and discharge (Qureshi et al., 2019). The data are then stored safely in the databases and can be analyzed at any given time to provide information on the status of healthcare system and the adjustments that needs to be undertaken (Lang et al., 2017).

The knowledge that can be derived from the data include the number of patients, types of medication required by most patients, the number of nurses, and finally, the nurse to patient ratio. Nurse leaders can apply clinical reasoning and judgement in the establishment of accurate nurse to patient ration to enhance the management of patients. In other words, nurse leaders can apply the knowledge of nurse to patient ration obtained from data analysis to establish enough nurses and other healthcare workers in the management of patients.


Chen, Q., Olsen, G., Bagante, F., Merath, K., Idrees, J. J., Akgul, O., … & Pawlik, T. M. (2019). Procedure-specific volume and nurse-to-patient ratio: implications for failure to rescue patients following liver surgery. World journal of surgery43(3), 910-919. https://doi/10.1007/s00268-018-4859-4

Coviello, G., Avitabile, G., & Florio, A. (2020, June). The importance of data synchronization in multiboard acquisition systems. In 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON) (pp. 293-297). IEEE. Retrieved from:

Gupta, K. S., & Rokade, V. (2016). Importance of quality in health care sector: a review. Journal of Health Management18(1), 84-94. https://doi/abs/10.1177/0972063415625527

Lang, T. A., Hodge, M., Olson, V., Romano, P. S., & Kravitz, R. L. (2017). Nurse–patient ratios: a systematic review on the effects of nurse staffing on patient, nurse employee, and hospital outcomes. JONA: The Journal of Nursing Administration34(7), 326-337. https://doi/2004/07000/

Qureshi, S. M., Purdy, N., Mohani, A., & Neumann, W. P. (2019). Predicting the effect of nurse–patient ratio on nurse workload and care quality using discrete event simulation. Journal of nursing management27(5), 971-980. https://doi/abs/10.1111/jonm.12757

Tekieh, M. H., & Raahemi, B. (2015, August). Importance of data mining in healthcare: a survey. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 (pp. 1057-1062). https://doi/abs/10.1145/2808797.2809367

You, L. M., Aiken, L. H., Sloane, D. M., Liu, K., He, G. P., Hu, Y., … & Sermeus, W. (2018). Hospital nursing, care quality, and patient satisfaction: cross-sectional surveys of nurses and patients in hospitals in China and Europe. International journal of nursing studies50(2), 154-161. Retrieved from:

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A Sample Answer 8 For the Assignment: NURS 6051 Discussion The Application of Data to Problem-Solving

Title: NURS 6051 Discussion The Application of Data to Problem-Solving

The scenario chosen is a patient in a hypertensive crisis in a home health visit following a total knee replacement. The focus will be to show how experience, knowledge, and an EMR can help improve patient outcomes, decision-making, and patient care. The data that may be used will be a sphygmomanometer, a pulse ox, and an EMR as a clinical database to see past trends of blood pressure. Nurses must be able to use their clinical guidelines and interpersonal skills to interact with their patients to form the basis of a decision. (Mastrian & McGonigle, 2022)

This data can be accessed by a EMR such as Kinnser. The immediate data would be the blood pressure and heart rate during the initial rapid assessment. Technology and evidence that support his findings of very high blood pressure will alert other clinicians of this event. This will appear (hopefully) in the patient’s electronic medical record. Another method of collecting data would be directly having a conversation or interview with the patient in crisis.

Looking at the patient’s post-op report before seeing the patient, the clinician can see that the patient had to stay an extra day for uncontrolled blood pressure. The clinician can then compare that data and information with their own knowledge base and medications prescribed to determine which interventions are appropriate. Once the patient’s blood pressure is controlled and his PCP has been called, the clinician can then start disseminating knowledge and staff can learn from feedback to then help others in the future when running into this scenario.

As a nurse leader, the nurse would use this information and convert it to knowledge. The nurse would then act on this knowledge by initiating a plan of care or updating an existing one. By using advanced formal education and applying analytical knowledge, the nurse is acting as a knowledge worker. (Mastrian & McGonigle, 2022).

I like your senario  and would to emphasize the need for health care staf to learn how to navigate health informatics like EPIC. It is like an acquisition, storage, retrieval and use of health information.  Health informatics promotes efficient and effective patient care through the fluid transmittance and retrieval of health care information.  The use of technology such as computer systems, software and other technologies promote informatics.  A good and simple example of the efficiency and importance of informatics can be seen when considering mail via the post office and emails via computer systems and network.  The delivery of mail using email transmittance allows for the quick, efficient and certain delivery of information.  Sending information through the post office takes time, vulnerable to be lost as well as being damaged.  The same efficiency is needed in addressing patient Care as patients lives at times will be dependent on the efficient transmittal of information.  A patient, for example, that meets in a car accident and requires emergency surgery, would benefit from health informatics as the patient’s medical history is readily retrievable from a health care informatics system that links providers to each other.  Imagine calling around for patient information or worst yet, writing letters to request patient information.  Antiquated systems can jeopardize patient care and patient safety (Alotaibi and Frederico, 2017).

As the main health care personnel, nurses are charged with the responsibility of operating systems that utilize informatics.  In addition, nurses should be able to efficiently and fluently use those systems.  It is therefore important that nurses understand the full purpose of informatics as well as to navigate any system in their network that utilizes informatics.  This is a critical part of nursing care as it promotes proper nursing care for patients as well as to increase positive outcome for the patients as well.  Informatics should also be part of the core curriculum in nursing school because it teaches student nurses how to better care for their patients (Leung et. al., 2015).  In addition, this core curriculum should again be reinforced in the clinical setting, as there are nuances to different informatics network systems.

The nurse should be familiar with these nuances so that they can best utilize the system when dealing with health informatics.  Nurses understanding and use of informatics should be greater than any other personnel in the clinical setting as the nurse is the main point of contact for patient care.  A nurse, for example, may alert the doctor or others of a patient’s pre-existing conditions or allergies thereby preventing any type of accident.  The nurse should also be able to properly train other personnel in using health informatics.  In training a new on how to use health informatics, it is also important that the nurse possess basic technology skills such as computer skills and understanding how software works.  Health informatics is the wave of the future and the nurse should also be at the forefront of this wave as it directly impacts patient care and patient outcome.  It has also been shown that hospitals that uses health informatics efficiently, has more positive patient outcomes (Snyder et. al., 2011).