Application of statistics in Healthcare

Application of statistics in Healthcare, Big data application in healthcare
Application of statistics in Healthcare 1

Introduction

The modern healthcare sector depends on data-driven strategies to devise interventions and practices and make decisions directed towards improving the overall well-being of the sector. It is imperative to explore the significance of healthcare statistics to promote quality, safety, health promotion, and leadership and the application of statistics in healthcare. The essay will also discuss the significance of statistical application in health care.

The healthcare environment is characterized as evolving and rapidly changing. Healthcare providers, organizations and policymakers within the continuum have to continuously rely on empirical data, and estimates related to health coupled with statistical trends and trials for monitoring conditions, making comparisons for insights and decision-making.

With a revamped focus on quality, safety, health promotion, and leadership as stipulated and instituted by the Institute of Medicine (IOM), Health care statistics continue to play an integral role in facilitating better interventions and outcomes (Larsson, & Mageramova, 2017). The useful application of statistics in health care is one of the most substantial contributors to the attainment of the value-based health care system.

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Application of statistics in Healthcare for Quality Improvement

Different formats and types of statistics have been positively applied to facilitate quality improvement. Health statistics have effectively been geared towards the processes of care measures in a bid to quantify healthcare quality. As such, data is collected and analyzed to determine the impact of health care on defined outcomes and examine the extent to which health care relies on evidence-based practices (Ocaña-Riola, 2016).

One of the practical frameworks for attaining the results is continuous quality improvement (CQI) which emphasizes identifying areas of improvement in every process. Health statistics provide data and guides on analysis of the fields to improve and on the implementation of the identified evidence-based practices and interventions (Kaplan, & Baron-Epel, 2016) The data collected quantitatively or qualitatively, guides decision-making by measuring performance outcomes, which assist in identifying gaps in care provision and maximizing efficiency.

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Application of statistics in Healthcare for Safety

The application of statistics in health care is imperative to the attainment of a safe and effective healthcare environment. Healthcare facilities and organizations are particularly reliant on assessments and data to identify safety concerns and effectively address them. Statistics guarantees that decision-makers have the right data, in the correct format, and at the right time for effective operation and improvement of the process of care (Ocaña-Riola, 2016). Essentially, the focus adds up to the subsequent delivery of better patient experiences.

Health Promotion

Statistics facilitates the assessment of populations by enabling data collection, data sharing, and data analytics. Through investigations into the empirical data of specific population samples, costs, accessibility of services as well as trends of disease among the population, statistical analysis facilitates the improvement of care, and policy prioritization and equips public health on healthcare promotion (Kaplan, & Baron-Epel, 2016).

For instance, statistical analysis into data on obesity data has facilitated a clear and comprehensive understanding of the specific populations and age groups with a high prevalence rate and led to better health promotion approaches. Statistics informs and provides better insights into health data hence enabling health practitioners to develop intervention approaches and implement and assess progress (Basskin, 2016). Some of the areas that have extensively benefited include immunization, family planning, smoking and tobacco campaigns and mother and child outcomes.

Leadership

IOM’s resolutions on the aims of health care were to provide health care that is effective, safe, patient-centred, timely, efficient, and equitable. The focus on value is driven by data and continuous improvement. As a result, leadership’s most imperative role; is decision-making. In particular, data analytics drives decision making especially on quality and costs.

Application of Statistical Knowledge to Organization or Specialty Area

Within my place of work, statistics plays the influential role of facilitating the development of interventions, improving efficiency and developing strategy. On quality improvement, data is collected from practitioners, non-healthcare personnel and patients as well as patient families. As practitioners, data is collected through questionnaires filled on a weekly basis on the different areas within the clinical settings.

This includes schedules, delegation, responsibilities, communication and opportunities for improvement. The data collected revolves around the day-to-day activities and operations of all healthcare personnel in the medium-sized facility. The framework is also applies to non-healthcare personnel who comment on safety issues, highlight challenges and provide input on issues such as layout, security and effective communication in the facility.

Data from patients is collected as feedback or analysis of patterns to predict or identify potential challenges. After treatment and care, the input of the patient is requested to assess for satisfaction and identify areas of improvement. The organization has attained immense growth in efficiency and has high satisfaction rates because of the approach. Besides, the quality of care is better as providers understand the expectations of the local community.

See also  epidemiology

Secondly, the patient data is also analyzed from EHR to identify areas of health promotions, and prevalent areas within the community. For instance, a recent analysis of mental health data in the community showed that it is becoming increasingly prevalent among adolescents. As a result, the facility partnered with key leaders and institutions for a wellness campaign.

Conclusion

To sum up, statistical information has revolutionized the healthcare sector in the United States and the world. Healthcare organizations use comprehensive statistical information to improve the quality of goods and services, promote patient and health workers’ safety, and create community awareness through healthcare promotion and leadership strategies crucial for any organization’s operations and management.

Statistical data aids in evaluating current and predicting future organizational performance and encourages using EBP to ensure patients’ safety. Statistical information promotes sound decision-making and ensures that health professionals understand their field and the patient’s needs to achieve desired outcomes.

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References

  • Larsson, H., & Mageramova, L. (2017). Development of Application for Health Statistics: Targeting Mental Health.
  • Ocaña-Riola, R. (2016). The Use of Statistics in Health Sciences: Situation Analysis and Perspective. Statistics in Biosciences, 8(2), 204-219.
  • Basskin, L. (2016). Statistical interpretation can also bias research evidence. Bmj, 327(7417), 752.
  • Kaplan, G., & Baron-Epel, O. (2016). Decision-makers acquaintance with the public’s priorities in health services. Israel journal of health policy research, 5(1), 32.

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Application of statistics in Healthcare: In a 750-1,000 word paper, discuss the significance of statistical application in healthcare.

Paper details

Statistical application and the interpretation of data is important in health care. Review the statistical concepts covered in this topic. In a 750-1,000 word paper, discuss the significance of statistical application in health care. Include the following:

  1. Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.
  2. Consider your organization or specialty area and how you utilize statistical knowledge. Discuss how you obtain statistical data, how statistical knowledge is used in day-to-day operations and how you apply it or use it in decision making.
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Three peer-reviewed, scholarly or professional references are required.

Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. 

You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.

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Application of Statistics to Healthcare Examples

Application Of Statistics In HealthCare (studyinghq.com)Discussion: NURSFPX4060 Capella University Health Promotion Plan and Best Practices PPT Health Promotion Plan
Machine Learning In Healthcare – Application of Advanced Computational Techniques to Improve Healthcare – Best Study Guides(2022)Machine Learning In Healthcare – Application of Advanced Computational Techniques to Improve Healthcare
Statistical Application And The Interpretation Of Data Important In Health Care – Private Essay WritersStatistical application and the interpretation of data important in healthcare
Application of Statistics to Healthcare (premiumacademicaffiliates.com)Healthcare providers can use statistics to evaluate and establish the quality of care they deliver to their patients. 
Nursing Assignments Solutions (customnursingassignments.com)This article covers a solution essay about the Application of Statistics in Health Care.

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