Discuss data mining and interpretation influences case management and utilization in healthcare from an APN perspective.

Instructions:

  • Describe and evaluate the differences between evidence based practice and research.
  • Describe the importance and application of health care information, data mining, and importance to application in patient care outcomes
  • Discuss how data mining and interpretation influences case management and utilization
  • Describe participation in managed care and the importance of quality care initiatives and performance indicators (remember to use AHRQ as a resource)

Parameters:

• 1500 words not including the cover page and references (total, not for each topic)

• Follow the APA 6th edition for references and citations

• Include a minimum of 6 scholarly references (does not include text or websites)

• Demonstrate analysis, evaluation and synthesis of information

Name: NU626 Paper Rubrics –

54321Non-Performing
Abstract and Introduction (10 points)Points:10 (8%)

Abstract is well defined and demonstrates strong outline and purpose of the paper. Introduction of paper is strong as evidenced by clear delineation of main topic, key question(s),/terminology. Thorough introduction of background and how it relates to topic provided Accurate and clear identification of subtopics reviewed Clear and specific purpose statement

Points:8 (6.4%)

Abstract defined and demonstrates outline purpose of the paper Introduction of paper provides evidence of main topic, key question(s) /terminology. Good introduction of background and how it relates to topic provided Clear purpose statement

Points:6 (4.8%)

General and non-descript abstract is provided with minimal regard to outline or purpose of the paper Conveys general topic, but not subtopics. Provides a general purpose, non-descript purpose statement

Points:4 (3.2%)

Conveys topic, but not key question(s). Limited background information and purpose of the study is provided Subtopics are not reviewed. Nonspecific thesis statement

Points:2 (1.6%)

Does not adequately convey topic. Insufficient background information. Author is vague on the purpose of the paper. Does not describe subtopics to be reviewed. Lacks theses statement

Points:0 (0%)

Student did not complete this portion of the assignment.

Body of Paper/Literature Review (50 points)

Points:50 (40%)

Research/scholarly evidence selected is highly relevant to the topic. Research is well presented; accurately and completely; including the method, results, and implications. Relationship between research and direction of author topic is clearly articulated and accurate.

Points:40 (32%)

Research/scholarly evidence is relevant to the topic. The research presented is mostly accurate and complete. There are some unclear components or some minor errors in presentation of methods, results, or implications. The topic is relevant and accurately described.

Points:30 (24%)

Research/scholarly evidence is relevant to the topic. The research presented is may have some non-specific related content. Missing research that could contribute greater to the analysis of the topic. There are some unclear components or some minor errors in presentation of methods, results, or implications. The topic is relevant and accurately described. Some components may not be present or are unclear.

Points:20 (16%)

Research/scholarly evidence is discussed but not consistently congruent with the topic. Minimal discussion and presentation of research methods, results, and implications.

Points:10 (8%)

Minimal research/scholarly evidence is discussed. Minimal discussion and presentation of research methods, results, and implications.

Points:0 (0%)

Student did not complete this portion of the assignment.

Analysis/Synthesis (45 points)

Points:45 (36%)

Thorough synthesis and analysis of concepts provided Indicates a high level of understanding of body of literature related to topic of literature Essential findings of multiple sources are accurately and concisely paraphrased, analyzed, and integrated Detailed discussion in synthesis includes thorough examination of research designs and data Highly detailed discussion thoroughly addresses comparison between articles and how literature review supports authors paper topic.

Points:35 (28%)

Thorough synthesis and analysis of concepts provided Indicates a moderate level of understanding of body of literature related to topic of literature Most literature review findings of multiple sources are accurately and concisely paraphrased, analyzed, and integrated Moderate discussion in synthesis includes examination of research designs and data Semi- detailed discussion thoroughly addresses comparison between articles and how literature review supports authors paper topic.

Points:25 (20%)

Synthesis and analysis of concepts is provided Indicates a moderate understanding of body of literature related to topic Some literature review findings of multiple sources are Semi-accurately and concisely paraphrased, analyzed, and integrated Moderate discussion in synthesis includes examination of research designs and data Semi- detailed discussion addresses comparison between articles and how literature review supports authors paper topic.

Points:15 (12%)

Synthesis and analysis of concepts is provided but indicating further need of understanding of literature Indicates a minimal understanding of body of literature related to topic Some literature review findings are discussed and from minimal sources Minimal discussion in synthesis includes examination of literature, research designs and data Non- detailed discussion about comparison between articles and how literature review supports authors paper topic

Points:5 (4%)

Minimal synthesis and analysis of the concepts Indicates a minimal understanding of body of literature related to topic Minimal literature review findings are discussed and from minimal sources Minimal discussion in synthesis of examination of literature, research designs and data Non- detailed discussion about comparison between articles and how literature review supports authors paper topic

Points:0 (0%)

Student did not complete this portion of the assignment.

Conclusion/Summary (10 points)

Points:10 (8%)

Conclusion is clearly stated. Strong review of key conclusions. Strong integration with thesis statement. Insightful discussion of impact of the researched material on topic.

Points:8 (6.4%)

Conclusion is clearly stated. Strong review of key conclusions. Strong integration with thesis statement. Discusses impact of researched material on topic.

Points:6 (4.8%)

Conclusion is clearly stated but not clearly connected to the body of work and analysis of the paper. Review of key conclusions. Some integration with thesis statement. Discusses impact of researched material on topic.

Points:4 (3.2%)

Conclusion may not be clear and the connections to analysis of paper are incorrect, unclear, or just a repetition of the findings without explanation.

Points:2 (1.6%)

Conclusion has major flaws; connection to analysis of paper is not clear. Does not summarize evidence with respect to thesis statement. Does not discuss the impact of researched material on topic

Points:0 (0%)

Student did not complete this portion of the assignment.

APA Grammar, mechanics, and writing style (5 points)

Points:5 (4%)

Excellent and consistent sentence structure, grammar, punctuation, and spelling is consistently evident. Less than 0- 2 errors in paper. Excellent continuity in presentation of ideas, smoothness, and economy of expression, Excellent demonstration of precision and clarity. Paper is focused and unified. Words are chosen effectively. Excellent transitions between points. Consistently anticipates reader’s need for information, explanation, and context. Minimal of 1000 to 1500 words in body of paper. Not including cover or reference page.

Points:4 (3.2%)

Mostly consistent sentence structure, grammar, punctuation, and spelling are strong despite occasional lapses. 3-4 errors in paper. General continuity in presentation of ideas, smoothness, and economy of expression Consistent demonstration of precision and clarity. Paper is generally clear and focused. May have some unclear transitions or lack of coherence. Often anticipates reader’s need for information, explanation, and context.

Points:3 (2.4%)

Correct sentence structure, grammar, punctuation, and spelling evident. 5-6 errors in paper. Continuity in presentation of ideas, smoothness, and economy of expression, Consistent demonstration of precision and clarity. Paper is generally focused but has occasional wander of topic, unclear transitions, lack of coherence. Occasionally addresses reader’s need for information, explanation, and context.

Points:2 (1.6%)

Non-consistent sentence structure, grammar, punctuation, and spelling. 7-8 errors in paper. Intermittent continuity in presentation of ideas, smoothness, and economy of expression Some consistency in demonstration of precision and clarity. Does not fully appreciate reader’s need for information, explanation, and context.

Points:1 (.8%)

Several problems with sentence structure, grammar, punctuation, and spelling. Greater than 8 errors in paper. Lacks continuity in presentation of ideas, smoothness, and economy of expression, Minimal consistency in demonstration of precision and clarity. Lacks appreciation for reader’s need for information, explanation, and context.

Points:0 (0%)

Student did not complete this portion of the assignment.

APA Format (5 points)

Points:5 (4%)

Excellent demonstration in use of correct APA format within the paper (title page, level of headings, margins, and spacing. Includes introduction, body, and conclusion. Inclusive of proper manuscript structure and tables/figures. Citations used and references appropriately within the paper. References page properly cited and formatted. Minimal of 6 scholarly resources excluding web resources There are 0-2 APA errors.

Points:4 (3.2%)

Consistently uses correct APA format within the paper (title page, level of headings, margins, and spacing. Includes introduction, body, and conclusion. Inclusive of proper manuscript structure and tables/figures. Citations used and references appropriately within the paper. References page properly cited and formatted. Uses 8-9 scholarly resources. There are 3-4 APA errors.

Points:3 (2.4%)

Inconsistently uses correct APA format within the paper (title page, level of headings, margins, and spacing. Includes introduction, body, and conclusion. Inclusive of proper manuscript structure and tables/figures. Citations used and references appropriately within the paper. References page properly cited and formatted. Uses 6-7 scholarly resources. There are 5-6 APA errors.

Points:2 (1.6%)

Occasionally uses correct APA format within the paper (title page, level of headings, margins, and spacing. Includes introduction, body, and conclusion. Inclusive of proper manuscript structure and tables/figures. Citations used and references appropriately within the paper. References page properly cited and formatted. Uses 6-7 scholarly resources. There are 7-8 APA errors.

Points:1 (.8%)

Lacks demonstration in use of APA format throughout paper. There are greater than 8 APA errors.

Points:0 (0%)

Student did not complete this portion of the assignment.

Name:NU626 Paper Rubrics –

Expert Solution Preview

Introduction:

Evidence-based practice (EBP) and research have become integral aspects of healthcare and medical education. EBP is a process that integrates patient preferences, clinician expertise, and up-to-date research evidence to make clinical decisions. Research, on the other hand, is a systematic inquiry carried out to develop new knowledge, validate existing knowledge, and make decisions based on empirical evidence. EBP is based on research evidence, but not all research evidence can be translated into EBP. This paper will describe and evaluate the differences between EBP and research, the importance and application of healthcare information, data mining and its impact on patient outcomes, how data interpretation influences case management and utilization, and the importance of participation in managed care and quality care initiatives.

Differences between Evidence-based Practice and Research

EBP and research differ in their methodologies, scope, aims, and use of evidence. EBP is a clinical decision-making approach that integrates the best evidence with clinical expertise and patient preferences. It prioritizes the use of clinically relevant research evidence that is applicable to specific patient contexts. EBP aims to reduce practice variation, increase patient safety, and improve patient outcomes. It places emphasis on the importance of using high-quality research evidence, but it also recognizes the value of other sources of evidence such as patient values, clinician expertise, and context-specific factors (Sackett, Rosenberg, Gray, Haynes, & Richardson, 1996).

Research, on the other hand, is a systematic and scientific inquiry aimed at generating new knowledge, validating existing knowledge, and making decisions based on empirical evidence. Research aims to develop generalizable knowledge that can be applied across different contexts and populations. It uses rigorous and structured methodologies to minimize bias and increase the validity and reliability of findings. Research also places emphasis on the use of high-quality evidence, but it addresses research questions that may not be directly applicable to clinical practice (Polit & Beck, 2017).

In summary, EBP uses research evidence to inform clinical decision making, whereas research aims to generate new knowledge that can be applied to different contexts.

Importance and Application of Healthcare Information and Data Mining

Healthcare information and data mining play a critical role in EBP and quality patient care. Healthcare information is the collection, storage, use, and sharing of patients’ medical data, including their health history, lab results, imaging data, and medication records. This information is essential for clinicians to make informed decisions that align with patient needs and preferences. Healthcare information is also crucial for monitoring population health trends, identifying areas for quality improvement, and evaluating the effectiveness of healthcare interventions (Dimitropoulos et al., 2019).

Data mining, on the other hand, is the process of analyzing large volumes of data to discover patterns, relationships, and trends. Data mining helps identify areas for improvement and enables informed decision making based on empirical evidence. Data mining can be used to predict patient outcomes, forecast resource utilization and inform clinical decision making (Murphy, 2015).

The importance of data mining and healthcare information can be seen in its application in patient care outcomes. For example, electronic health records (EHRs) enable clinicians to access patient data efficiently, which reduces errors and enhances continuity of care. Healthcare information is also used to inform population health decisions, such as vaccine distribution, disease outbreaks, and public health campaigns. Data mining can be used to identify high-risk patients, predict readmissions, and optimize resource utilization, thereby improving patient outcomes (Dimitropoulos et al., 2019).

In summary, healthcare information and data mining are essential components of EBP and quality patient care. They enable informed clinical decision making, population health monitoring, and resource optimization.

Influence of Data Mining and Interpretation on Case Management and Utilization

Data mining and interpretation have a significant impact on case management and resource utilization. Case management involves the coordination of healthcare services for patients with complex health needs. Case managers use data mining and interpretation to identify at-risk patients, evaluate healthcare utilization patterns, and inform care plans (Meyer & Bailey Jr, 2016).

Data mining and interpretation guide case managers in identifying high-risk patients and implementing targeted interventions to improve outcomes. For example, data mining can help identify patients who are at risk of hospital readmission, falls, or medication errors. Case managers can use this information to develop care plans that address patient needs and reduce risks.

Data mining and interpretation also inform resource utilization decisions. For example, data mining can identify hospitals or clinics with high utilization rates, which could indicate inefficiencies that need to be addressed. Resource optimization can be achieved by identifying patients who need more intensive care, those who can be safely managed in the outpatient setting, or those who can be managed through telemedicine (Meyer & Bailey Jr, 2016).

In summary, data mining and interpretation play a critical role in guiding case management decisions and optimizing resource utilization.

Participation in Managed Care and the Importance of Quality Care Initiatives

Participation in managed care models and quality care initiatives is essential for improving patient outcomes. Managed care models are healthcare delivery systems that aim to provide high-quality care at a lower cost. Quality care initiatives aim to improve patient outcomes by reducing variations in care, increasing patient safety, and promoting evidence-based practices (Agency for Healthcare Research and Quality, 2021).

Participation in managed care models, such as accountable care organizations (ACOs), can improve patient outcomes by reducing unnecessary care, improving care coordination, and promoting preventive care. ACOs incentivize providers to coordinate care and reduce costs while maintaining quality standards. Patients in ACOs receive more coordinated, evidence-based care, leading to improved outcomes (McMahon & Oommen, 2015).

Quality care initiatives, such as the Agency for Healthcare Research and Quality’s (AHRQ) National Quality Strategy, promote evidence-based practices and focus on reducing healthcare disparities, improving patient safety and patient-centered care. These initiatives provide guidelines for measuring and improving healthcare quality, which can lead to better outcomes for patients. For example, healthcare facilities that participate in quality care initiatives demonstrate lower rates of healthcare-associated infections, medication errors, and readmissions (Agency for Healthcare Research and Quality, 2021).

In summary, participation in managed care models and quality care initiatives is essential for improving patient outcomes, reducing healthcare costs, and promoting evidence-based practice.

Conclusion

In conclusion, EBP and research are integral aspects of medical education and healthcare. While EBP aims to integrate the best available evidence into clinical decision making, research aims to generate new knowledge that can be applied to different contexts. Healthcare information and data mining play a critical role in evidence-based practice and quality patient care. Data mining and interpretation guide case management decisions and optimize resource utilization. Participation in managed care models and quality care initiatives promotes evidence-based practices, reduces healthcare disparities, and improves patient outcomes. By implementing these principles, healthcare providers can improve the delivery of care and the health of populations they serve.

References

Agency for Healthcare Research and Quality. (2021). National Quality Strategy. Retrieved from https://www.ahrq.gov/workingforquality/about/nqs/index.html

Dimitropoulos, L., Patel, V., Scheffler, S. A., Posnack, S., Riley, W., Johnson, T., & Broderick, A. (2019). Data, information, and knowledge in the healthcare enterprise: the essential architecture of information systems. Journal of the American Medical Informatics Association: JAMIA, 26(10), 1103-1110.

McMahon, L. F., & Oommen, J. (2015). Accountable care organizations and their impact on healthcare delivery, payment, and patient outcomes. Journal of Medical Systems, 39(12), 189.

Meyer, K. M., & Bailey Jr, J. R. (2016). Data-mining and clinical decision-making: challenges and opportunities. The Ochsner Journal, 16(4), 404-409.

Murphy, K. (2015).Data mining and predictive analytics in healthcare. Journal of Healthcare Information Management: JHIM, 29(1), 10-15.

Polit, D. F., & Beck, C. T. (2017). Nursing research: generating and assessing evidence for nursing practice. Lippincott Williams & Wilkins.

Sackett, D. L., Rosenberg, W. M., Gray, J. A., Haynes, R. B., & Richardson, W. S. (1996). Evidence-based medicine: what it is and what it isn’t. BMJ: British Medical Journal, 312(7023), 71-72.

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