The Application of Data to Problem Solving
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.
To Prepare:
By Day 3 of Week 1
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?
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| Excellent | Good | Fair | Poor | ||
| Main Posting | 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. |
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. |
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. |
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 | 10 (10%) – 10 (10%)
Posts main post by day 3. |
0 (0%) – 0 (0%) | 0 (0%) – 0 (0%) | 0 (0%) – 0 (0%)
Does not post by day 3. |
|
| First Response | 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. |
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. |
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. |
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 | 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. |
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. |
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. |
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 | 5 (5%) – 5 (5%)
Meets requirements for participation by posting on three different days. |
0 (0%) – 0 (0%) | 0 (0%) – 0 (0%) | 0 (0%) – 0 (0%)
Does not meet requirements for participation by posting on 3 different days. |
|
| Total Points: 100 | |||||
Nursing Informatics: The Application of Data to Problem Solving
The scenario chosen in this case is that of a 72 year-old male patient in a nursing home who fell after getting out of bed to reach a bottle of water and losing balance. He broke his left femur and got a concussion as well. He is now incapacitated and his condition has worsened given that he is also suffering from major neurocognitive disorder or dementia (APA, 2013).
The data that could be used in the case of this patient is dashboard data on the number of patient falls in the nursing home per 1,000 patient stays, taken as an outcome measure. To access this data and collect it, one must have the rights to access the electronic health record (EHR) system of the nursing home (Alotaibi & Federico, 2017). This requires requesting the nurse informaticist to do this or having her provide a password for access (McGonigle & Mastrian, 2017). The dashboard metrics will be able to show the current rate of patient falls (falls per 1,000 patient stays) and compare it with an earlier period.
The knowledge that might be derived from the data in this case includes (i) the number of patients that have suffered falls within the last six months, one year, or any other period desired; (ii) the cost to the nursing home of treating the falls victims since the Centers for Medicare and Medicaid Services (CMS) no linger reimburses for healthcare services rendered to fall victims (Fehlberg et al., 2017); and (iii) the direct mortality figures attributable to accidental falls within the facility.
A nurse leader would use clinical reasoning and judgment in the formation of knowledge in the case of the above patient by analyzing the above data. This analysis will reveal trends that can then be used to inform the search for evidence-based interventions that can help reduce the accidental falls rate in the nursing home. Data alone means nothing. It must first be analyzed to derive knowledge and information from it. In this, the nurse manager needs to partner with the nurse informaticist to collect and collate this knowledge before presenting it for quality improvement (QI).
References
Alotaibi, Y., & Federico, F. (2017). The impact of health information technology on patient safety. Saudi Medical Journal, 38(12), 1173–1180. https://doi.org/10.15537/smj.2017.12.20631
American Psychiatric Association [APA] (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5), 5th ed. Author.
Fehlberg, E.A., Lucero, R.J., Weaver, M.T., McDaniel, A.M., Chandler, M., Richey, P.A., Mion, L.C., & Shorr, R. I. (2017). Impact of the CMS no-pay policy on hospital-acquired fall prevention related practice patterns. Innovation in Aging, 1(3), 1-7. http://dx.doi.org/10.1093/geroni/igx036
McGonigle, D., & Mastrian, K.G. (2017). Nursing informatics and the foundation of knowledge, 4th ed. Jones & Bartlett Learning.
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