Thank you for this informative post. It is nice to know that they have these kits available for patients to continuously monitor themselves at home. In this technology filled era in which we now live, healthcare providers need to be vigilant and engage directly with the patients especially when giving discharge instructions or teaching (Laureate Education, 2018). The nurses who complete the discharge instructions really have a vital role in the implementation of this data collection with the home kits.
I think that your pre-set device would be a great idea especially for the elderly. As healthcare professionals, we continuously receive and analyze data to become more proactive and provide the best possible care for their patients (McGoningle & Mastrian, 2017). An analysis of the acquired data from your device could serve a catalyst for additional changes in home monitoring during this pandemic. For example, your device could be remotely linked to a database (like remote telemetry monitoring) where a healthcare professional is assigned to monitor the uploaded data. That healthcare worker would then be able to call and check in on the elderly or alert emergency responders if the oxygen level becomes dangerously low. Discussion: The Application of Data to Problem-Solving NURS 6051
Laureate Education (Producer). (2018). Health Informatics and Population Health: Trends in Population Health [Video file]. Baltimore, MD: Author.
McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Chapter 2, “Introduction to Information, Information Science, and Information Systems” (p. 30)
A Sample Answer 4 For the Assignment: Discussion: The Application of Data to Problem-Solving NURS 6051
Title: Discussion: The Application of Data to Problem-Solving NURS 6051
When I was researching my own scenario for this discussion, I came across Big Data examples and decreasing avoidable ER visits was on the list (Durcevic, 2019). In the article pertaining to the ER, a program was created in California called PreManage ED (Durcevic, 2019). The program helps other facilities to be able to access a patient’s chart who was treated at another neighboring facility (Durcevic, 2019). This helped the county decrease time, resources, and cost to patients who were chronic ER patients (Durcevic, 2019).
That is very awesome that your hospital provides COVID patients, who are discharged home to manage symptoms, an at-home monitoring kit and a smartphone application to track their data. As far as I know, the hospital I work for in Michigan doesn’t do this. The only app I know of that the state government has spoken of is Mi COVID Alert (Michigan.gov, 2020). This app is for contact tracing only, not for tracking symptoms (Michigan.gov, 2020). Is this app only available to your hospital or the state of Florida?
Reference
Durcevic, S. (2019). 18 Examples Of Big Data Analytics In Healthcare That Can Save People. Datapine. https://www.datapine.com/blog/big-data-examples-in-healthcare/
Michigan.gov. (2020). How the app works. SOM – State of Michigan. https://www.michigan.gov/coronavirus/0,9753,7-406-99891_102592_102594—,00.html
A Sample Answer For the Assignment: Discussion: The Application of Data to Problem-Solving NURS 6051
Title: Discussion: The Application of Data to Problem-Solving NURS 6051
As you rightly indicated, health informatics has contributed greatly to the effective application of patient data. Data must be applied correctly to improve overall patient outcomes. As stated explained by Walden University, artificial intelligence (AI) will be an added value to the healthcare industry because of its diagnostic capabilities (Walden University, 2018). A systematic review conducted by Choudhury & Asan (2020), highlighted the pivotal role of healthcare professionals in the safe application of AI. Proper utilization of AI will require dedicated professionals to carry out the human activities that are necessary for this software to operate. There will be a better outcome of diagnosing diseases in a timely manner because providers will have the luxury of diagnosing patients by documenting patient assessment, medical history, symptoms, etc. Overall, I believe that real-life scenarios will be needed to support the effectiveness and safety of AI.
Reference
Walden University, LLC. (Producer). (2018). Health Informatics and Population Health: Trends in Population Health [Video file]. Baltimore, MD: Author.
Choudhury, A., & Asan, O. (2020). Role of Artificial Intelligence in Patient Safety Outcomes: Systematic Literature Review. JMIR Medical Informatics, 8(7), e18599. https://doi.org/10.2196/18599
Submission and Grading Information
Discussion The Application of Data to Problem-Solving NURS 6051 Grading Criteria
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Content
Name: NURS_5051_Module01_Week01_Discussion_Rubric
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Main Posting
Points 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.
Points 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: Timeliness
Points 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 Response
Points 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.
Demonstrates 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 Response
Points Range: 16 (16%) – 17 (17%)
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.
Demonstrates 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: 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.
Participation
Points 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: 100
A Sample Answer 6 For the Assignment: Discussion: The Application of Data to Problem-Solving NURS 6051
Title: Discussion: The Application of Data to Problem-Solving NURS 6051
Healthcare technology is essential in patient care. As healthcare professionals, we must always be ready to embrace change. Nurses must be aware of available healthcare technology for problem-solving skills, which will help improve patient care. Nursing informatics integrates nursing science with information technology to identify, analyze and communicate healthcare data (Kassam et al., 2017). Easy access to medical records is essential in the provision of quality healthcare services. Utilization and application of knowledge from healthcare foundation is the basis of nursing science (McGonigle & Mastrian, 2021).
One scenario that I would use informatics is in immunizations. In my current place of work, I work with parents and healthcare providers on vaccination records for patients. A problem arises when families have to relocate to other states without their vaccination records. These parents are not sure whether their children have been vaccinated, and they must the previous state immunization registries. It would thus be essential to have a centralized immunization registry. This system will track the vaccine given to patients and the due dates for the vaccines. Healthcare providers can thus access patient vaccination records and use them to make clinical decisions.
There is a lot of knowledge that can come from this data. Healthcare professionals can determine vaccination rates and map out areas of potential outbreaks. Nurse leaders are critical in ensuring the quality and safety of healthcare services (Goh, Ang & Della, 2018). Nurse leaders can utilize judgment and clinical reasoning with knowledge from this data to discuss reasons for the low uptake of immunization. This can help them to develop policies to ensure that patients and communities are educated on the benefits of vaccinations. Nurse leaders can also be aware of contraindications of vaccines for specific patients by having access to the central database. A centralized vaccine database is beneficial not only to the patient but also to the healthcare professionals. Patients will receive vaccines that will help them, and healthcare professionals will have an efficient vaccination system.
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.
References:
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. https://doi.org/10.1136/emermed-2019-208849
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. https://doi.org/10.1097/nna.0000000000000645
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. https://doi.org/10.1097/ncq.0000000000000462