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Discussion: The Application of Data to Problem-Solving

Discussion: The Application of Data to Problem-Solving Discussion: The Application of Data to Problem-SolvingIn 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.Discussion: The Application of Data to Problem-SolvingTo 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.ORDER A PLAGIARISM-FREE PAPER HEREBy Day 3 of Week 1Post 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?Discussion: The Application of Data to Problem-SolvingBy Day 6 of Week 1Respond 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. Rubric Detail Select Grid View or List View to change the rubric’s layout.ContentName: NURS_5051_Module01_Week01_Discussion_RubricGrid ViewList ViewExcellentGoodFairPoorMain PostingDiscussion: The Application of Data to Problem-SolvingPoints Range: 45 (45%) – 50 (50%)Answers all parts of the discussion question(s) expectations with reflective critical analysis and synthesis of knowledge gained from the course readings for the module and current credible sources. Supported by at least three current, credible sources. Written clearly and concisely with no grammatical or spelling errors and fully adheres to current APA manual writing rules and style.Points Range: 40 (40%) – 44 (44%)Responds to the discussion question(s) and is reflective with critical analysis and synthesis of knowledge gained from the course readings for the module. At least 75% of post has exceptional depth and breadth. Supported by at least three credible sources. Written clearly and concisely with one or no grammatical or spelling errors and fully adheres to current APA manual writing rules and style.Discussion: The Application of Data to Problem-SolvingPoints Range: 35 (35%) – 39 (39%)Responds to some of the discussion question(s). One or two criteria are not addressed or are superficially addressed. Is somewhat lacking reflection and critical analysis and synthesis. Somewhat represents knowledge gained from the course readings for the module. Post is cited with two credible sources. Written somewhat concisely; may contain more than two spelling or grammatical errors. Contains some APA formatting errors.Points Range: 0 (0%) – 34 (34%)Does not respond to the discussion question(s) adequately. Lacks depth or superficially addresses criteria. Lacks reflection and critical analysis and synthesis. Does not represent knowledge gained from the course readings for the module. Contains only one or no credible sources. Not written clearly or concisely. Contains more than two spelling or grammatical errors. Does not adhere to current APA manual writing rules and style.Main Post: TimelinessPoints Range: 10 (10%) – 10 (10%)Posts main post by day 3.Points Range: 0 (0%) – 0 (0%)Points Range: 0 (0%) – 0 (0%)Points Range: 0 (0%) – 0 (0%)Does not post by day 3.First ResponsePoints Range: 17 (17%) – 18 (18%)Response exhibits synthesis, critical thinking, and application to practice settings. Responds fully to questions posed by faculty. Provides clear, concise opinions and ideas that are supported by at least two scholarly sources.Discussion: The Application of Data to Problem-SolvingDemonstrates synthesis and understanding of learning objectives. Communication is professional and respectful to colleagues. Responses to faculty questions are fully answered, if posed. Response is effectively written in standard, edited English.Points Range: 15 (15%) – 16 (16%)Response exhibits critical thinking and application to practice settings. Communication is professional and respectful to colleagues. Responses to faculty questions are answered, if posed. Provides clear, concise opinions and ideas that are supported by two or more credible sources. Response is effectively written in standard, edited English.Points Range: 13 (13%) – 14 (14%)Response is on topic and may have some depth. Responses posted in the discussion may lack effective professional communication. Responses to faculty questions are somewhat answered, if posed. Response may lack clear, concise opinions and ideas, and a few or no credible sources are cited.Points Range: 0 (0%) – 12 (12%)Response may not be on topic and lacks depth. Responses posted in the discussion lack effective professional communication. Responses to faculty questions are missing. No credible sources are cited.Second ResponsePoints Range: 16 (16%) – 17 (17%)Response exhibits synthesis, critical thinking, and application to practice settings.Discussion: The Application of Data to Problem-SolvingResponds fully to questions posed by faculty. Provides clear, concise opinions and ideas that are supported by at least two scholarly sources. Demonstrates synthesis and understanding of learning objectives.Discussion: The Application of Data to Problem-SolvingCommunication is professional and respectful to colleagues. Responses to faculty questions are fully answered, if posed.Discussion: The Application of Data to Problem-SolvingResponse is effectively written in standard, edited English.Points Range: 14 (14%) – 15 (15%)Response exhibits critical thinking and application to practice settings. Communication is professional and respectful to colleagues. Responses to faculty questions are answered, if posed. Provides clear, concise opinions and ideas that are supported by two or more credible sources. Response is effectively written in standard, edited English.Points Range: 12 (12%) – 13 (13%)Response is on topic and may have some depth. Responses posted in the discussion may lack effective professional communication. Responses to faculty questions are somewhat answered, if posed. Response may lack clear, concise opinions and ideas, and a few or no credible sources are cited.Points Range: 0 (0%) – 11 (11%)Response may not be on topic and lacks depth. Responses posted in the discussion lack effective professional communication. Responses to faculty questions are missing. No credible sources are cited.ParticipationPoints Range: 5 (5%) – 5 (5%)Meets requirements for participation by posting on three different days.Points Range: 0 (0%) – 0 (0%)Points Range: 0 (0%) – 0 (0%)Points Range: 0 (0%) – 0 (0%)Does not meet requirements for participation by posting on 3 different days. Total Points: 100Name: NURS_5051_Module01_Week01_Discussion_RubricDiscussion – Week 1CollapseDiscussion: The Application of Data to Problem-SolvingThe Application of Data to Problem-SolvingIn 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.Discussion: The Application of Data to Problem-SolvingIn 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.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.By Day 3 of Week 1Post 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?Discussion: The Application of Data to Problem-SolvingBy Day 6 of Week 1Respond 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.Click on the Reply button below to reveal the textbox for entering your message. Then click on the Submit button to post your message.*Note: Throughout this program, your fellow students are referred to as colleagues.Discussion One After working as a registered nurse on an inpatient rehab unit for years, I have noticed that one of our biggest problems is accidental patient falls. Patients on an inpatient rehab unit often feel the ability to be more independent because of the hours they spent with physical and occupational therapy. This perception often causes the patients to transfer and take care of personal needs without calling for help. Despite their physical and occupational therapy progress, many patients are still not in a safe state to do these activities without supervision. Acting independently too early leads to patients falling, thereby setting back all their improvements, which incites further injury and and prolonging the length of hospital stays (Mckechnie et al., 2015). Therefore, data pertaining to patient falls can be beneficial for nurses and nurse leaders to decrease patient falls. Discussion: The Application of Data to Problem-Solving`Healthcare informatics has introduced many new and improved ways that we can collect and interpret data. Data collection devices can pull different data components together to help trace the patterns of health issues (McGongile & Mastrian, 2017). Data components that may be used regarding patient falls can include the number of falls, events leading to falls, patient-specific factors, and fall outcomes. Such data can be collected in an electronic database, such as an electronic health record (EHR). There can be a standardized form within the electronic database to be filled out upon patient fall events. Because the information would be collected in an electronic database, it will be easily accessible to all healthcare personnel who can analyze and utilize the collected data (Sweeney, 2017). Such healthcare personnel include nurses, nurse leaders, doctors, physical therapists, occupational therapists, and more. Discussion: The Application of Data to Problem-SolvingCollecting data in an electronic database can help detect trends and patterns leading to pools of knowledge (McGongile & Mastrian, 2017). Specific to falls, electronic data input can help identify scenarios that are most likely to lead up to a fall and which patients are most likely to fall. Over time, this data can also reveal knowledge relating to the number of falls and their severity. Because of the tremendous amount of information that electronic data systems can produce, clinicians can utilize the results to create effective treatments and prevent adverse health outcomes (Gamache et al., 2018). Specific to falls, when electronic data shows patient characteristics and situations that are highly correlated with falls, nurse leaders can implement interventions that directly target the issues, which can help decrease the amounts of falls. Such interventions may include frequent rounding, alarms, and patient education. Nurse leaders can also gain knowledge regarding the effectiveness of interventions based on later electronic data collected on the number and severity of falls. Discussion: The Application of Data to Problem-SolvingReferences Gamache, R., Kharrazi, H., & Weiner, J. (2018). Public and Population Health Informatics: The Bridging of Big Data to Benefit Communities. Yearbook of Medical Informatics, 27(01), 199-206. doi:10.1055/s-0038-1667081McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.Mckechnie, D., Fisher, M. J., & Pryor, J. (2015). The characteristics of falls in an inpatient traumatic brain injury rehabilitation setting. Journal of Clinical Nursing, 25(1-2), 213-222. doi:10.1111/jocn.13087Sweeney, J. (2017). Healthcare informatics. Online Journal of Nursing Informatics, 21(1).RE: Discussion – Week 1CollapsePatient falls is one of the never events not covered by Medicaid or Medicare. At the facility where I work, most of our falls were unpreventable, but that is still not acceptable to Medicare and Medicaid. The quality assurance nurse requests that the charge nurse perform a rounding assessment on all high fall risks patients. This includes hourly rounding documentation by ancillary staff, quarterly rounding by nursing staff, and checking for bed alarms with safe environments. Patients state they fall due to feeling dizzy, weak legs, or because they slip (Hoke & Zekany, 2020). By rounding on patients hourly, we can assist them to the restroom or to the chair while they are feeling dizzy or weak and educate them on how to handle these problems appropriately.Discussion: The Application of Data to Problem-SolvingUsing the data collected from past falls, we use the Morse Fall scale at my facility. The Morse Fall scale evaluates patients on their history of falls, secondary medical issues, IV lock, mental status, and gait/transferring (Morse, n.d.). Patients with a score higher than 45 are considered high fall risk patients. These patients are given a wrist band, door sign, and bed/chair alarm identifying them as high fall risk. This has reduced our number of falls since implementation, but there is always room for improvement and the data is constantly being reviewed.Discussion: The Application of Data to Problem-SolvingHoke, L. M., & Zekany, R. T. (2020). Two Sides to Every Fall: Patient and Nurse Perspectives. Critical Care Nurse, 40(6), 33–41. https://doi-org.ezp.waldenulibrary.org/10.4037/ccn2020289Morse Fall Scale. (n.d.). https://networkofcare.org/library/Morse%20Fall%20Scale.pdf. Discussion 1 Response 1Hello ! I really enjoyed reading your post for the discussion this week! As a bedside nurse working overnight, I have witnessed many falls in my experience as a nurse. Preventing these unexpected situations can allow for better care and promotion of health for patients in hospitals and health care facilities such as nursing homes. One great method of preventing these situations is the use of charting all details and events that lead to the fall which would allow for health care providers such as nurses to prevent these situations from happening again. According to McGonigle and Mastrian (2017), patterns and significant factors can be identified if Health care facilities gather all information that led to previous incidents. With the patterns identified, places such as a Med-Surg floor can approach new methods of care and focus for patients who have similarities of symptoms that ultimately lead to a fall. According to Sweeney (2017), enhanced delivery of care, improved health outcomes, and advanced patient education are just a few aspects that have improved with the use of increased charting through Healthcare Informatics. I believe with the increased use of Healthcare Informatics, we as providers can prevent unwanted situations such as falls and use these methods in order to prevent more incidents in the facility.Discussion: The Application of Data to Problem-Solving References McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.Sweeney, J. (2017). Healthcare informatics. Online Journal of Nursing Informatics, 21(1), 1–5. https://www.proquest.com/openview/0692fa0057e41f0972dd03e36230f738/1?pq-origsite=gscholar&cbl=2034896The Application of Data to Problem SolvingI  have worked as a Hospital nurse and I have worked in Long Term care and what I saw the most was patients that came into the hospital with Congestive Heart Failure. This is an emergency when they arrive. The patients areswollen so large and their heart works double the time just attempting to get the fluid off the body.  Now they have been taught by home health nurse how to prevent this from happening but they continue to do this any way thinkingthat their way is better. With their legs swollen so huge they are ready to burst. This could lead to an emergency situation in a hurry. Discussion: The Application of Data to Problem-SolvingHealth care Informatics has a way with congestive heart failure patients that help bridge the gap between practice and the evidenced based care. Decomphensated heart failure accounts for 5% of all acute care unscheduled hospitaladmissions and long length of stay any of any cardiac conditions. They have echocardiagrams and Bnp lab tests. The use of telehealth programs that help nurses to stay in touch with the patients as well as connect to the doctor. Thehelp of telehealth give the doctors and nurses a birds eye view of what might be going on with the patients. The EHR record also helps the doctors and nurses with the care of the patient with tracking how many times they have beenin the hospital with CHF. This and with the help of drug regimen can help the patient to lead a normal life.Discussion: The Application of Data to Problem-SolvingRefereccnce:Heart Failure and Health Care Informatics PLOS Med.2019May 16,(5): e1002806.Published online2019 May 21,doi : 10.1371,journal/pmed.1002806 Mohammed S.Anwar, AlanG.Japp,and and NicholasL.Millonhttps://telehealth.hhs.gov/patientshttps//www.entresto/hep/comResponse One      I enjoyed reading your discussion, Sheila. I work on the cardiac floor at my hospital, so many of the patients we see are heart failure patients coming in with exacerbation of their symptoms. Our hospital has hired a heart failure nurse navigator within the past few years who sees each patient, educates them daily, and makes follow-up appointments. With this being a chronic condition, a big issue with these patients is hospital readmission within 30 days. With the advanced technology we have today, I think using telehealth can positively impact patient outcomes. A hospital in Maryland piloted a Chronic Care Management Program where Bluetooth biometric devices were given to patients to take home after discharge to monitor their blood pressure, weight, vital signs, etc. The data is sent to nurses and physicians who monitor these findings, making telehealth appointments or phone calls as needed. The results of these programs have shown an 89% decrease in hospital readmission within 30 days (Van Wagenen, 2020). Telehealth is also a good choice for these elderly patients seen a lot in the hospital who are readmitted simply because maybe they missed an appointment or may not like to drive or rely on someone to bring them to the doctor or pick up their medications. Telehealth would give nurses the ability to consider every aspect and lay eyes on the patient to assess the whole situation. The COVID pandemic has caused an acceleration of health informatics and the implementation of telemedicine services for every area in healthcare, and I think it is sure to continue to leave a positive impact (Ford et al., 2020).  Discussion: The Application of Data to Problem-SolvingReferencesFord, D., Harvey, J. B., McElligott, J., King, K., Simpson, K. N., Valenta, S., Warr, E. H., Walsh, T., Debenham, E., Teasdale, C., Meystre, S., Obeid, J. S., Metts, C., & Lenert, L. A. (2020). Leveraging health system telehealth and informatics infrastructure to create a continuum of services for COVID-19 screening, testing, and treatment. Journal of the American Medical Informatics Association, 27(12), 1871–1877. https://doi.org/10.1093/jamia/ocaa157Van Wagenen, J. (2020, September 24). How Telehealth Can Improve Heart Disease Management. Technology Solutions That Drive Healthcare. https://healthtechmagazine.net/article/2019/02/how-telehealth-can-improve-heart-disease-management. Discussion: The Application of Data to Problem-Solving

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