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  • [Solved] Tarea: Métodos de Análisis en Salud Pública y Enfermería Comunitaria

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    – ## Metodos_Analisis_Salud_Publica.docx **## Metodos_Analisis_Salud_Publica.docx** ## Tarea: Métodos de Análisis en Salud Pública y Enfermería Comunitaria ## Objetivo: Aplicar los conceptos y herramientas de análisis en salud pública y enfermería comunitaria para identificar necesidades de sa…

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    – ## Metodos_Analisis_Salud_Publica.docx

    **## Metodos_Analisis_Salud_Publica.docx**

    ## Tarea: Métodos de Análisis en Salud Pública y Enfermería Comunitaria

    ## Objetivo:

    Aplicar los conceptos y herramientas de análisis en salud pública y enfermería comunitaria para identificar necesidades de salud y proponer estrategias de intervención.

    ## Instrucciones:

    1. Lea el material sobre métodos de análisis en salud pública y enfermería comunitaria.

    2. Complete las siguientes actividades:

    ### Actividad 1: Análisis de Prevención

    Escriba un ejemplo práctico para cada nivel de prevención (primaria, secundaria, terciaria) aplicado a una comunidad específica.

    ### Actividad 2: Caso de Epidemiología

    Investigue un brote reciente de una enfermedad infecciosa en su país o región. Responda:

    1. ¿Cuál fue la enfermedad y cómo se propagó?

    2. ¿Qué principios epidemiológicos se aplicaron para controlarla?

    3. ¿Qué limitaciones enfrentaron las autoridades de salud?

    ### Actividad 3: Diagnóstico Comunitario

    Diseñe un plan básico para realizar un diagnóstico de salud en una comunidad local. Incluya:

    – Instrumentos que utilizaría (entrevistas, encuestas, estadísticas).

    – Métodos para recolectar y analizar datos.

    ### Actividad 4: Reflexión Crítica

    Explique cómo el uso adecuado de los métodos de análisis mejora la salud de una comunidad.

    ## Formato de la Tarea:

    – Extensión: 3-5 páginas.

    – Estilo: Fuente Times New Roman, tamaño 12, interlineado 2.0.

    – Referencias: Incluir al menos 2 o 3 fuentes en formato APA.

    ## Criterios de Evaluación:

    – Claridad y precisión en las respuestas (30%).

    – Aplicación de conceptos teóricos (30%).

    – Creatividad y propuesta de soluciones (20%).

    – Uso adecuado de referencias (10%).

    – Presentación y Formato (10%).

    Fecha de entrega: 13 de febrero del 2025, hasta el 10:00pm

    **## Metodos_Analisis_Salud_Publica.docx**

    ## Tarea: Métodos de Análisis en Salud Pública y Enfermería Comunitaria

    ## Objetivo:

    Aplicar los conceptos y herramientas de análisis en salud pública y enfermería comunitaria para identificar necesidades de salud y proponer estrategias de intervención.

    ## Instrucciones:

    1. Lea el material sobre métodos de análisis en salud pública y enfermería comunitaria.

    2. Complete las siguientes actividades:

    ### Actividad 1: Análisis de Prevención

    Escriba un ejemplo práctico para cada nivel de prevención (primaria, secundaria, terciaria) aplicado a una comunidad específica.

    ### Actividad 2: Caso de Epidemiología

    Investigue un brote reciente de una enfermedad infecciosa en su país o región. Responda:

    1. ¿Cuál fue la enfermedad y cómo se propagó?

    2. ¿Qué principios epidemiológicos se aplicaron para controlarla?

    3. ¿Qué limitaciones enfrentaron las autoridades de salud?

    ### Actividad 3: Diagnóstico Comunitario

    Diseñe un plan básico para realizar un diagnóstico de salud en una comunidad local. Incluya:

    – Instrumentos que utilizaría (entrevistas, encuestas, estadísticas).

    – Métodos para recolectar y analizar datos.

    ### Actividad 4: Reflexión Crítica

    Explique cómo el uso adecuado de los métodos de análisis mejora la salud de una comunidad.

    ## Formato de la Tarea:

    – Extensión: 3-5 páginas.

    – Estilo: Fuente Times New Roman, tamaño 12, interlineado 2.0.

    – Referencias: Incluir al menos 2 o 3 fuentes en formato APA.

    ## Criterios de Evaluación:

    – Claridad y precisión en las respuestas (30%).

    – Aplicación de conceptos teóricos (30%).

    – Creatividad y propuesta de soluciones (20%).

    – Uso adecuado de referencias (10%).

    – Presentación y Formato (10%).

    Fecha de entrega: 13 de febrero del 2025, hasta el 10:00pm

  • [Solved] disc 6 diversity

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    \ diversitydiscussion6.png](https://www.sweetstudy.com/files/diversitydiscussion6-png "diversitydiscussion6.png") \ Rubricfordiversityinadvancedpractice.png](https://www.sweetstudy.com/files/rubricfordiversityinadvancedpractice-png-10332315 "Rubricfordiversityinadvancedpractice.png")

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    \
    diversitydiscussion6.png](https://www.sweetstudy.com/files/diversitydiscussion6-png "diversitydiscussion6.png")
    \
    Rubricfordiversityinadvancedpractice.png](https://www.sweetstudy.com/files/rubricfordiversityinadvancedpractice-png-10332315 "Rubricfordiversityinadvancedpractice.png")

  • [Solved] Create a discussion of at least 500 words, using APA 7 forma. No plagiarism no AI use

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    A literature review is a systematic search and evaluation of the available literature on a particular subject or topic. This systematic search and evaluation are vital to nursing and evidence-based practice. a. What are the main objectives of a literature review? b. Based on this week’s proposed rea…

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    Assignment Prompt & Instructions

    A literature review is a systematic search and evaluation of the available literature on a particular subject or topic. This systematic search and evaluation are vital to nursing and evidence-based practice.
    a.     What are the main objectives of a literature review?
    b.     Based on this week’s proposed reading material, which evidence-based level would you try to use to support your quality improvement project are you considering for your DNP Practicum Project, and why?
    c.     Describe the types of possible literature (subject/topics, key terms, inclusion and exclusion criteria, and year) you will be using for support.

  • [Solved] create a discussion of at least 500 words, using scholarly references no older than 5 years old. on APA 7 format. No plagiarism and no AI use

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    Follow these directions: Access the Agency for Health Care Policy and Research Website 2. Find a Clinical Practice Guideline of your interest. 3. Briefly describe the guideline 4. Report on one recommendation and the level of evidence associated with the recommendation 5. Examine the recommendat…

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    Assignment Prompt & Instructions

    Follow these directions:
    Access the Agency for Health Care Policy and Research Website
    2. Find a Clinical Practice Guideline of your interest.
    3. Briefly describe the guideline
    4. Report on one recommendation and the level of evidence associated with the recommendation
    5. Examine the recommendations. Were all recommendations based on study findings with the highest level of evidence? Explain
    ### **Participation Requirements**
    The student must answer the graded discussion with a substantive reply to the graded discussion question(s)/topic(s) posted by the course instructor by Wednesday, 11:59 p.m. Eastern Time of each week. Two scholarly sources references are required unless stated otherwise by your professor. .
    Here are the categories of the new discussion rubric:
    **Initial Post** relevance to the topic of discussion, applicability, and insight. (20%)
    **Quality of Written Communication** Appropriateness of audience and words choice is specific, purposeful, dynamic, and varied. Grammar, spelling, punctuation. (20%)
    **Inclusion of DNP essentials explored in the discussion as well as the role-specific competencies as applicable.**(10%)
    **Rigor, currency,  and relevance of the scholarly references.** (Use articles that are below 5 years). (20%)
    **Peer & Professor Responses.** The number of responses, quality of response posts. (20%)
    **Timeliness of the initial post and the answers to the peers. (10%)**

  • [Solved] Case 6

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    Mrs. P. is an 80-year-old woman recently discharged from a 24-hour observation stay at the hospital after being diagnosed with acute bronchitis. She has a history of heart failure, hypertension, osteoarthritis, GERD, and hyperlipidemia. She has no history of smoking. While in the hospital she was pr…

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    Mrs. P. is an 80-year-old woman recently discharged from a 24-hour observation stay at the hospital after being diagnosed with acute bronchitis. She has a history of heart failure, hypertension, osteoarthritis, GERD, and hyperlipidemia. She has no history of smoking. While in the hospital she was prescribed doxycycline, prednisone 15 mg to taper, and a tiotropium inhaler. Her current list of daily medications prior to hospitalization includes metoprolol succinate 12.5 mg, pantoprazole 40 mg, atorvastatin 10 mg, lisinopril 10 mg, furosemide 40 mg, potassium chloride 20 meq bid, acetaminophen 650 mg bid for pain and tramadol 25 mg as needed. She lives alone but will reside temporarily with her daughter while she recovers. Her discharge report indicated resolving bronchitis, no exacerbation of heart failure, and stable arthritic pain. Today she reports 1 week after discharge with her daughter for a primary care appointment, and they both were concerned about the number of medications she was prescribed and wanted her medications reviewed. In further review, she was found to have lost weight over the past 6 months of 5 lbs and her current BMI is 25. She states that the weight loss may be due to a change to a healthier diet and reducing sodium as instructed. She also reports no symptoms of GERD for the past 6 months and minimal arthritic pain because of regular use of acetaminophen and daily walking in the halls of her independent living facility. Upon examination her lungs are clear to auscultation and no evidence of lower extremity edema.
    **Discuss the following:**
    1) In reviewing her medication list and current symptoms and clinical signs, which
    medication could the nurse practitioner consider de-prescribing.
    2) Once the patient has completed the prednisone taper, which medication could the nurse
    practitioner begin to reduce given the patient’s reported symptoms.
    3) Given the absence of an exacerbation of heart failure and compliance with a reduced
    sodium diet, what other medication(s) adjustments could the nurse practitioner consider at
    this time.
    **Submission Instructions:**
    – Your initial post should be at least 500 words, formatted and cited in current APA style with support from at least 2 academic sources within 5 years 2020-2025

  • [Solved] 507M6S

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    In-depth study guidance and analytical solution covering 507M6S.

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  • [Solved] 507clm6d

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    In-depth study guidance and analytical solution covering 507clm6d.

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  • [Solved] Week 8 DB Post

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    – ## Week8DBPost.pdf **## Week8DBPost.pdf** Table 1 Table 2 Term Definition Sexuality Sexual health Sexual identity Sexual orientation Sexual agency Sex Gender Identity Transgender Gender dysphoria Cisgender Transmale Transfemale Name 5 medical (physical) causes of female sexual dysfunction Name 5 m…

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    – ## Week8DBPost.pdf

    **## Week8DBPost.pdf**

    Table 1

    Table 2

    Term Definition

    Sexuality

    Sexual health

    Sexual identity

    Sexual orientation

    Sexual agency

    Sex

    Gender Identity

    Transgender

    Gender dysphoria

    Cisgender

    Transmale

    Transfemale

    Name 5 medical (physical) causes
    of female sexual dysfunction

    Name 5 medication-induced
    sexual dysfunction

    Table 3

    Gayle is a 25-year-old woman who comes to your office for her first Pap smear exam. She tried to
    have a Pap smear before, but she was unable to tolerate insertion of the speculum. She cannot use
    tampons during her menses due to pain at her introitus when she tries to insert the tampon. Her last
    boyfriend broke up with her after 6 months because she was unable to have intercourse with him
    due to pain at her introitus when trying to insert his penis. The patient cannot remember exactly
    when this pain started because she didn’t attempt to use tampons until she was 19 years old. She
    did not attempt intercourse until she was 21 years old. She thinks she noticed this pain the first time
    she attempted to insert a tampon but cannot be sure. She is extremely anxious and almost in tears
    about the thought of having a Pap smear, but thinks she “must” have one even though she reports
    being unable to ever have vaginal intercourse.

    Write a brief SOAP note regarding this patient. Make sure to include your answers to these
    questions in your SOAP note.

    1. Subjective:
    a. How will you approach this patient?
    b. What other relevant questions should you ask regarding the HPI?
    c. What other medical history questions should you ask?
    d. What other social history questions should you include? What potential situation

    should you address or be suspicious of?
    e. What other family history questions should you ask?

    2. Objective:
    a. Write a detailed focused physical assessment on this patient.

    Name 5 psychological cases of
    female sexual dysfunction

    Name at least 4 management plan
    to help with sexual dysfunction
    (include 2 pharmacologic and 2
    non pharmacologic interventions)

    Define Vulvodynia

    Define Vaginismus

    What is the difference between the 2 diagnoses?

    What are treatment options?

    b. Is a pap smear necessary for this patient? Why?
    c. Explain what other test(s) you will order and perform, and discuss your rationale for

    ordering and performing each test.
    3. Assessment/ Diagnosis:

    a. What is your presumptive diagnosis? Why?
    b. Any other diagnosis or differential diagnosis you would like to add?

    4. Plan:
    a. How will you manage this patient? What interventions would you suggest?
    b. Are there any treatment or medication would you prescribe and why?
    c. Explain treatment/management guidelines including any possible side effects and/or

    consideration management of the diagnosis.
    d. What patient education is important to include for this patient? (Consider including

    pharmacological, supplements, and non pharmacological recommendations and
    education)

    e. What is the follow-up plan of care?

    SOAP NOTE FORMAT

    Subjective

    CC:

    HPI:

    Medications:

    Allergies:

    LMP:

    Gyn/OB history:

    PMH:

    Chronic Illness/ Major trauma:

    Family Hx:

    Social Hx:

    ROS

    – List the body systems and provide answers

    – (Don’t forget to include Gyn ROS)

    – You can include questions here that you’d like to ask the patient

    Objective Data

    General- provide findings

    VS

    List body systems- provide findings

    – (Don’t forget Gyn System)

    – (You can include answers here to questions posed in the prompt)

    Include POCT (Point of Care testing) not labs that you will send to the laboratoryAssessment/

    DiagnosisInclude the ICD10 code

    DDX

    Plan

    Diagnostic tests

    Lab Tests

    Treatment

    Medication

    Referrals

    Education

    Health Maintenance

    Follow up

    Prompt Questions

    (You can include answers here that is asked in the prompt)

    **## Week8DBPost.pdf**

    Table 1

    Table 2

    Term Definition

    Sexuality

    Sexual health

    Sexual identity

    Sexual orientation

    Sexual agency

    Sex

    Gender Identity

    Transgender

    Gender dysphoria

    Cisgender

    Transmale

    Transfemale

    Name 5 medical (physical) causes
    of female sexual dysfunction

    Name 5 medication-induced
    sexual dysfunction

    Table 3

    Gayle is a 25-year-old woman who comes to your office for her first Pap smear exam. She tried to
    have a Pap smear before, but she was unable to tolerate insertion of the speculum. She cannot use
    tampons during her menses due to pain at her introitus when she tries to insert the tampon. Her last
    boyfriend broke up with her after 6 months because she was unable to have intercourse with him
    due to pain at her introitus when trying to insert his penis. The patient cannot remember exactly
    when this pain started because she didn’t attempt to use tampons until she was 19 years old. She
    did not attempt intercourse until she was 21 years old. She thinks she noticed this pain the first time
    she attempted to insert a tampon but cannot be sure. She is extremely anxious and almost in tears
    about the thought of having a Pap smear, but thinks she “must” have one even though she reports
    being unable to ever have vaginal intercourse.

    Write a brief SOAP note regarding this patient. Make sure to include your answers to these
    questions in your SOAP note.

    1. Subjective:
    a. How will you approach this patient?
    b. What other relevant questions should you ask regarding the HPI?
    c. What other medical history questions should you ask?
    d. What other social history questions should you include? What potential situation

    should you address or be suspicious of?
    e. What other family history questions should you ask?

    2. Objective:
    a. Write a detailed focused physical assessment on this patient.

    Name 5 psychological cases of
    female sexual dysfunction

    Name at least 4 management plan
    to help with sexual dysfunction
    (include 2 pharmacologic and 2
    non pharmacologic interventions)

    Define Vulvodynia

    Define Vaginismus

    What is the difference between the 2 diagnoses?

    What are treatment options?

    b. Is a pap smear necessary for this patient? Why?
    c. Explain what other test(s) you will order and perform, and discuss your rationale for

    ordering and performing each test.
    3. Assessment/ Diagnosis:

    a. What is your presumptive diagnosis? Why?
    b. Any other diagnosis or differential diagnosis you would like to add?

    4. Plan:
    a. How will you manage this patient? What interventions would you suggest?
    b. Are there any treatment or medication would you prescribe and why?
    c. Explain treatment/management guidelines including any possible side effects and/or

    consideration management of the diagnosis.
    d. What patient education is important to include for this patient? (Consider including

    pharmacological, supplements, and non pharmacological recommendations and
    education)

    e. What is the follow-up plan of care?

    SOAP NOTE FORMAT

    Subjective

    CC:

    HPI:

    Medications:

    Allergies:

    LMP:

    Gyn/OB history:

    PMH:

    Chronic Illness/ Major trauma:

    Family Hx:

    Social Hx:

    ROS

    – List the body systems and provide answers

    – (Don’t forget to include Gyn ROS)

    – You can include questions here that you’d like to ask the patient

    Objective Data

    General- provide findings

    VS

    List body systems- provide findings

    – (Don’t forget Gyn System)

    – (You can include answers here to questions posed in the prompt)

    Include POCT (Point of Care testing) not labs that you will send to the laboratoryAssessment/

    DiagnosisInclude the ICD10 code

    DDX

    Plan

    Diagnostic tests

    Lab Tests

    Treatment

    Medication

    Referrals

    Education

    Health Maintenance

    Follow up

    Prompt Questions

    (You can include answers here that is asked in the prompt)

  • [Solved] WK 5 RESP

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    – ## WK5DIS.docx **## WK5DIS.docx** Data Science Applications and Processes ![A person standing in a hallway with a computer AI-generated content may be incorrect.](https://www.sweetstudy.com/questions/wk-5-resp) How might data compiled and analyzed in your healthcare organization or nursing practic…

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    – ## WK5DIS.docx

    **## WK5DIS.docx**

    Data Science Applications and Processes

    ![A person standing in a hallway with a computer AI-generated content may be incorrect.](https://www.sweetstudy.com/questions/wk-5-resp)

    How might data compiled and analyzed in your healthcare organization or nursing practice help support efforts aimed at patient quality and safety? Why might it be important to consider the how’s and why’s of data collection, application, and implementation? How might these practices shape your nursing practice or even the future of nursing?

    For this Discussion, you will explore various topics related to data and consider the process and application of each. Reflect on the use of these applications, but also consider the implications of how these applications might shape the future of nursing and healthcare practice.

    Resources

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

    [**WEEKLY RESOURCES**](https://waldenu.instructure.com/courses/175732/modules/items/6883357)

    earning Resources

    [Required Readings](https://waldenu.instructure.com/courses/175732/pages/week-5-learning-resources?module_item_id=6883357)

    · Sipes, C. (2025).
    _Project management for the advanced practice nurse_ (3rd ed.). Springer Publishing.

    · Chapter 4, “Planning: Project Management—Phase 2” (pp. 85–130)

    · American Nurses Association. (2015).
    [_Nursing informaticsLinks to an external site._](https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1021761&site=eds-live&scope=site&authtype=shib&custid=s6527200) _: Scope and standards of practice_  (2nd ed.).

    · “Standard 3: Outcomes Identification” (p. 71)

    · “Standard 4: Planning” (p. 72)1

    · Brennan, P. F., & Bakken, S. (2015).
    [Nursing needs big data and big data needs nursingLinks to an external site.](https://search.proquest.com/scholarly-journals/nursing-needs-big-data/docview/1754567620/se-2?accountid=14872).
    _Journal of Nursing Scholarship, 47_ (5), 477–484. doi:10.1111/jnu.12159 National Institutes of Health, Office of Data Science Strategy. (2021).
    _Data science_ .

    · Carter-Templeton, H., Nicoll, L. H., Wrigley, J., & Wyatt, T. H. (2021).
    [Big data in nursing: A bibliometric analysisLinks to an external site.](https://search.ebscohost.com/login.aspx?direct=true&AuthType=shib&db=edselc&AN=edselc.2-52.0-85165359701&site=eds-live&scope=site&custid=s6527200).
    _Online Journal of Issues in Nursing_,
    _26_(3). https://doi.org/10.3912/OJIN.Vol26No03Man02

    · Elsaleh, T., Enshaeifar, S., Rezvani, R., Acton, S. T., Janeiko, V., & Bermudez-Edo, M. (2020).
    [IoT-stream: A lightweight ontology for internet of things data streams and its use with data analytics and event detection servicesLinks to an external site.](https://search.ebscohost.com/login.aspx?direct=true&db=edsdoj&AN=edsdoj.41223e5652334f4790d24c0a1f639098&site=eds-live&scope=site&authtype=shib&custid=s6527200).
    _Sensors, 20_ (4), 953. doi:10.3390/s20040953

    · Zhu, R., Han, S., Su, Y., Zhang, C., Yu, Q., & Duan, Z. (2019).
    [The application of big data and the development of nursing science: A discussion paperLinks to an external site.](https://www.sciencedirect.com/science/article/pii/S2352013218305507).
    _International Journal of Nursing Sciences, 6_ (2), 229–234. doi:10.1016/j.ijnss.2019.03.001

    [Required Media](https://waldenu.instructure.com/courses/175732/pages/week-5-learning-resources?module_item_id=6883357)

    · IDG TECHTalk. (2020, March 27).
    [_What is predictive analyticsLinks to an external site._](https://www.youtube.com/watch?v=cVibCHRSxB0) _? Transforming data into future insights_[Video]. YouTube. https://www.youtube.com/watch?v=cVibCHRSxB0

    · Simplilearn. (2019, December 10).
    [_Big data in 5 minutes_ Links to an external site.](https://www.youtube.com/watch?v=bAyrObl7TYE) | What is big data?| introduction to big data | big data explained | simplilearn [Video]. YouTube. https://www.youtube.com/watch?v=bAyrObl7TYE

    [Optional Resources](https://waldenu.instructure.com/courses/175732/pages/week-5-learning-resources?module_item_id=6883357)

    · Parikh, R. B., Gdowski, A., Patt, D. A., Hertler, A., Mermel, C., & Bekelman, J. E. (2019). Using big data and predictive analytics to determine patient risk in oncology.
    [_American Society of Clinical Oncology Educational BookLinks to an external site._](https://doi.org/10.1200/EDBK_238891) _, 39_ , e53–e58. doi:10.1200/EDBK_238891

    · Spachos, D., Siafis, S., Bamidis, P., Kouvelas, D., & Papazisis, G. (2020).
    [Combining big data search analytics and the FDA adverse event reporting system database to detect a potential safety signal of mirtazapine abuseLinks to an external site.](https://go.openathens.net/redirector/waldenu.edu?url=https://doi.org/10.1177%2F1460458219901232).
    _Health Informatics Journal, 26_ (3), 2265–2279. doi:10.1177/1460458219901232

    [Previous](https://waldenu.instructure.com/courses/175732/modules/items/6883348)

    [Next](https://waldenu.instructure.com/courses/175732/modules/items/6883360)

    To Prepare

    · Review the Learning Resources for this week related to the topics: Big Data, Data Science, Data Mining, Data Analytics, and Machine Learning.

    · Consider the process and application of each topic.

    · Reflect on how each topic relates to nursing practice.

    By Day 3 of Week 5

    **Post** a summary on how predictive analytics might be used to support healthcare.
    **Note:** These topics may overlap as you will find in the readings (e.g., some processes require both Data Mining and Analytics).

    In your post include the following:

    · Describe a practical application for predictive analytics in your nursing practice. What challenges and opportunities do you envision for the future of predictive analytics in healthcare?

    By Day 6 of Week 5

    **Read** a selection of your colleagues’ responses and
    **respond** to
    **at least two** of your colleagues on
    **two different days**. Expand upon your colleague’s posting or offer an alternative perspective.

    RESPOND TO THIS DISCUSSION POST

    **Latonya B**

    **Data Science Applications and Processes**

    High-quality healthcare is driven by several factors that foster an environment of safety and healing. Predictive analytics is progressively changing the definition of care by enabling physicians and nurses to further anticipate their patients' requirements. Despite the challenges that health systems face, patients expect and demand safe, high-quality care along with accurate and trustworthy hospital quality reporting. Predictive analytics could prove helpful in organizations that struggle with medical diagnosis and disease progression. Healthcare providers are expected to demonstrate cultural competence and deliver equitable treatment that facilitates healing. Predictive analytics aids with administrative tasks by optimizing processes and cutting expenses, while data analytics can assist hospitals in anticipating admissions and allocating staff and resources appropriately (Bogiri et al., 2025). There are various ways to evaluate an organization’s performance, and if certain areas do not perform well, they can lower the overall quality score. An organization’s successes, challenges, and struggles are often measured by its star rating, which indicates how well a facility is performing.

    To accomplish the objective of providing patients with higher-quality treatment, health practitioners can use advanced digital analytics to assist them in making logical judgments about how to optimize resources and what tactics to use to avoid overspending. The use of digital technology can help achieve the best scores, which will prompt first actions meant to stop further health decline. Centers for Medicare and Medicaid Services (CMS) is a federal organization that oversees the administration of Medicare and Medicaid services to hospitals in the United States and uses a 5-star rating system to assess and compare the caliber of treatment that each hospital offers (Pollok et al., 2024). The overall star rating provides a summary of performance across several quality metrics, such as patient experience, staffing, customer service, readmission rates, mortality, safety of care, and prompt and efficient service.

    The use of predictive models in healthcare has expanded beyond merely forecasting disease outbreaks to estimating the likelihood of disease progression (Bogiri et al., 2025). These models will be integrated into current healthcare systems and will utilize advanced AI methods, such as machine learning models, to process and analyze large data sets (Bogiri et al., 2025). During the pandemic, the 5-star ratings were heavily challenged due to the high mortality rates associated with the disease when the vaccine was not yet available. The study shows that despite these mortality rates, hospitals with high ratings were unaffected. This data did not include small hospitals or those already scoring low. Incorporating data science and technology into healthcare delivery could lead to a better healthcare experience for all healthcare organizations. The barriers that may affect the use of the applications are the ability to purchase and provide training for adequate usage.

    References

    Bogiri, N., Maral, V., Pagar, S., Mane, A., Babde, O., & Pandey, V. (2025). Predictive Analytics in Virtual Healthcare using Decision-Tree. 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), Data Science, Agents & Artificial Intelligence (ICDSAAI), 2025 International Conference On, 1–6.
    [https://doi.org/10.1109/ICDSAAI65575.2025.11011582Links to an external site.](https://doi.org/10.1109/ICDSAAI65575.2025.11011582)

    Pollock, B. D., Devkaran, S., & Dowdy, S. C. (2024). Missed opportunities in hospital quality measurement during the COVID-19 pandemic: a retrospective investigation of US hospitals’ CMS Star Ratings and 30-day mortality during the early pandemic. BMJ Open, 14(2).
    [https://doi.org/10.1136/bmjopen-2023-079351Links to an external site.](https://doi.org/10.1136/bmjopen-2023-079351)

    **Reply**

    ## image1.jpeg

    **## WK5DIS.docx**

    Data Science Applications and Processes

    ![A person standing in a hallway with a computer AI-generated content may be incorrect.](https://www.sweetstudy.com/questions/wk-5-resp)

    How might data compiled and analyzed in your healthcare organization or nursing practice help support efforts aimed at patient quality and safety? Why might it be important to consider the how’s and why’s of data collection, application, and implementation? How might these practices shape your nursing practice or even the future of nursing?

    For this Discussion, you will explore various topics related to data and consider the process and application of each. Reflect on the use of these applications, but also consider the implications of how these applications might shape the future of nursing and healthcare practice.

    Resources

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

    [**WEEKLY RESOURCES**](https://waldenu.instructure.com/courses/175732/modules/items/6883357)

    earning Resources

    [Required Readings](https://waldenu.instructure.com/courses/175732/pages/week-5-learning-resources?module_item_id=6883357)

    · Sipes, C. (2025).
    _Project management for the advanced practice nurse_ (3rd ed.). Springer Publishing.

    · Chapter 4, “Planning: Project Management—Phase 2” (pp. 85–130)

    · American Nurses Association. (2015).
    [_Nursing informaticsLinks to an external site._](https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1021761&site=eds-live&scope=site&authtype=shib&custid=s6527200) _: Scope and standards of practice_  (2nd ed.).

    · “Standard 3: Outcomes Identification” (p. 71)

    · “Standard 4: Planning” (p. 72)1

    · Brennan, P. F., & Bakken, S. (2015).
    [Nursing needs big data and big data needs nursingLinks to an external site.](https://search.proquest.com/scholarly-journals/nursing-needs-big-data/docview/1754567620/se-2?accountid=14872).
    _Journal of Nursing Scholarship, 47_ (5), 477–484. doi:10.1111/jnu.12159 National Institutes of Health, Office of Data Science Strategy. (2021).
    _Data science_ .

    · Carter-Templeton, H., Nicoll, L. H., Wrigley, J., & Wyatt, T. H. (2021).
    [Big data in nursing: A bibliometric analysisLinks to an external site.](https://search.ebscohost.com/login.aspx?direct=true&AuthType=shib&db=edselc&AN=edselc.2-52.0-85165359701&site=eds-live&scope=site&custid=s6527200).
    _Online Journal of Issues in Nursing_,
    _26_(3). https://doi.org/10.3912/OJIN.Vol26No03Man02

    · Elsaleh, T., Enshaeifar, S., Rezvani, R., Acton, S. T., Janeiko, V., & Bermudez-Edo, M. (2020).
    [IoT-stream: A lightweight ontology for internet of things data streams and its use with data analytics and event detection servicesLinks to an external site.](https://search.ebscohost.com/login.aspx?direct=true&db=edsdoj&AN=edsdoj.41223e5652334f4790d24c0a1f639098&site=eds-live&scope=site&authtype=shib&custid=s6527200).
    _Sensors, 20_ (4), 953. doi:10.3390/s20040953

    · Zhu, R., Han, S., Su, Y., Zhang, C., Yu, Q., & Duan, Z. (2019).
    [The application of big data and the development of nursing science: A discussion paperLinks to an external site.](https://www.sciencedirect.com/science/article/pii/S2352013218305507).
    _International Journal of Nursing Sciences, 6_ (2), 229–234. doi:10.1016/j.ijnss.2019.03.001

    [Required Media](https://waldenu.instructure.com/courses/175732/pages/week-5-learning-resources?module_item_id=6883357)

    · IDG TECHTalk. (2020, March 27).
    [_What is predictive analyticsLinks to an external site._](https://www.youtube.com/watch?v=cVibCHRSxB0) _? Transforming data into future insights_[Video]. YouTube. https://www.youtube.com/watch?v=cVibCHRSxB0

    · Simplilearn. (2019, December 10).
    [_Big data in 5 minutes_ Links to an external site.](https://www.youtube.com/watch?v=bAyrObl7TYE) | What is big data?| introduction to big data | big data explained | simplilearn [Video]. YouTube. https://www.youtube.com/watch?v=bAyrObl7TYE

    [Optional Resources](https://waldenu.instructure.com/courses/175732/pages/week-5-learning-resources?module_item_id=6883357)

    · Parikh, R. B., Gdowski, A., Patt, D. A., Hertler, A., Mermel, C., & Bekelman, J. E. (2019). Using big data and predictive analytics to determine patient risk in oncology.
    [_American Society of Clinical Oncology Educational BookLinks to an external site._](https://doi.org/10.1200/EDBK_238891) _, 39_ , e53–e58. doi:10.1200/EDBK_238891

    · Spachos, D., Siafis, S., Bamidis, P., Kouvelas, D., & Papazisis, G. (2020).
    [Combining big data search analytics and the FDA adverse event reporting system database to detect a potential safety signal of mirtazapine abuseLinks to an external site.](https://go.openathens.net/redirector/waldenu.edu?url=https://doi.org/10.1177%2F1460458219901232).
    _Health Informatics Journal, 26_ (3), 2265–2279. doi:10.1177/1460458219901232

    [Previous](https://waldenu.instructure.com/courses/175732/modules/items/6883348)

    [Next](https://waldenu.instructure.com/courses/175732/modules/items/6883360)

    To Prepare

    · Review the Learning Resources for this week related to the topics: Big Data, Data Science, Data Mining, Data Analytics, and Machine Learning.

    · Consider the process and application of each topic.

    · Reflect on how each topic relates to nursing practice.

    By Day 3 of Week 5

    **Post** a summary on how predictive analytics might be used to support healthcare.
    **Note:** These topics may overlap as you will find in the readings (e.g., some processes require both Data Mining and Analytics).

    In your post include the following:

    · Describe a practical application for predictive analytics in your nursing practice. What challenges and opportunities do you envision for the future of predictive analytics in healthcare?

    By Day 6 of Week 5

    **Read** a selection of your colleagues’ responses and
    **respond** to
    **at least two** of your colleagues on
    **two different days**. Expand upon your colleague’s posting or offer an alternative perspective.

    RESPOND TO THIS DISCUSSION POST

    **Latonya B**

    **Data Science Applications and Processes**

    High-quality healthcare is driven by several factors that foster an environment of safety and healing. Predictive analytics is progressively changing the definition of care by enabling physicians and nurses to further anticipate their patients' requirements. Despite the challenges that health systems face, patients expect and demand safe, high-quality care along with accurate and trustworthy hospital quality reporting. Predictive analytics could prove helpful in organizations that struggle with medical diagnosis and disease progression. Healthcare providers are expected to demonstrate cultural competence and deliver equitable treatment that facilitates healing. Predictive analytics aids with administrative tasks by optimizing processes and cutting expenses, while data analytics can assist hospitals in anticipating admissions and allocating staff and resources appropriately (Bogiri et al., 2025). There are various ways to evaluate an organization’s performance, and if certain areas do not perform well, they can lower the overall quality score. An organization’s successes, challenges, and struggles are often measured by its star rating, which indicates how well a facility is performing.

    To accomplish the objective of providing patients with higher-quality treatment, health practitioners can use advanced digital analytics to assist them in making logical judgments about how to optimize resources and what tactics to use to avoid overspending. The use of digital technology can help achieve the best scores, which will prompt first actions meant to stop further health decline. Centers for Medicare and Medicaid Services (CMS) is a federal organization that oversees the administration of Medicare and Medicaid services to hospitals in the United States and uses a 5-star rating system to assess and compare the caliber of treatment that each hospital offers (Pollok et al., 2024). The overall star rating provides a summary of performance across several quality metrics, such as patient experience, staffing, customer service, readmission rates, mortality, safety of care, and prompt and efficient service.

    The use of predictive models in healthcare has expanded beyond merely forecasting disease outbreaks to estimating the likelihood of disease progression (Bogiri et al., 2025). These models will be integrated into current healthcare systems and will utilize advanced AI methods, such as machine learning models, to process and analyze large data sets (Bogiri et al., 2025). During the pandemic, the 5-star ratings were heavily challenged due to the high mortality rates associated with the disease when the vaccine was not yet available. The study shows that despite these mortality rates, hospitals with high ratings were unaffected. This data did not include small hospitals or those already scoring low. Incorporating data science and technology into healthcare delivery could lead to a better healthcare experience for all healthcare organizations. The barriers that may affect the use of the applications are the ability to purchase and provide training for adequate usage.

    References

    Bogiri, N., Maral, V., Pagar, S., Mane, A., Babde, O., & Pandey, V. (2025). Predictive Analytics in Virtual Healthcare using Decision-Tree. 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), Data Science, Agents & Artificial Intelligence (ICDSAAI), 2025 International Conference On, 1–6.
    [https://doi.org/10.1109/ICDSAAI65575.2025.11011582Links to an external site.](https://doi.org/10.1109/ICDSAAI65575.2025.11011582)

    Pollock, B. D., Devkaran, S., & Dowdy, S. C. (2024). Missed opportunities in hospital quality measurement during the COVID-19 pandemic: a retrospective investigation of US hospitals’ CMS Star Ratings and 30-day mortality during the early pandemic. BMJ Open, 14(2).
    [https://doi.org/10.1136/bmjopen-2023-079351Links to an external site.](https://doi.org/10.1136/bmjopen-2023-079351)

    **Reply**

    ## image1.jpeg

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