Assignment: Health Sciences Statistics
Assignment: Health Sciences Statistics
Statistics is the science of collecting and analyzing data. It is often used in health sciences to help researchers understand relationships between different variables, such as risk factors and disease outcomes. Statistics can also be used to design clinical trials, assess the effectiveness of treatments, and predict future health trends (Tambe & Gajre et al., 2018). Because of its broad applications, statistics is an important tool for anyone working in the health sciences field.
Interestingly, the field of statistics has a long and rich history in the field of healthcare. In fact, many famous statisticians have made major contributions to the advancement of healthcare. For example, in the early 1800s, Dr. John Snow used statistical techniques to investigate the correlation between cholera outbreaks and contaminated water sources (Cho & Jeong, 2019). His work led to improved sanitation practices and helped save countless lives. More recently, statistics has been used to develop vaccination schedules and track disease outbreaks. It has also been instrumental in designing clinical trials and developing new treatments for various diseases. In short, statistics plays a vital role in ensuring that we provide the best possible care for our patients.
There are many examples of how statistical methods have been applied to healthcare in order to improve operations and patient outcomes. One well-known example is the use of Six Sigma techniques, introduced by Bill Smith, to reduce variation and errors in health care processes. Six Sigma is a set of statistical methods that are used to identify and eliminate sources of error and variation in order to improve quality and efficiency. It has been widely used in many industries, but it has been particularly successful in healthcare. Six Sigma has been used to reduce surgical infection rates, length of stay for hospital patients, waiting times for outpatient procedures, and many other aspects of healthcare delivery.
Cho, Y. S., & Jeong, S. P. (2019). Application of Disease Pattern Analysis with Lifestyle Risk Factor for Healthcare Promotion Service. 10.20944/preprints201904.0095.v2
Tambe, S. B., & Gajre, S. S. (2018). Cluster-based real-time analysis of mobile healthcare application for prediction of physiological data. Journal of Ambient Intelligence and Humanized Computing, 9(2), 429-445. https://link.springer.com/article/10.1007/s12652-017-0562-9
Topic 1 DQ 1
Discuss the historical application of statistics in the field of health care. Describe an example, other than Florence Nightingale’s contributions, where statistical application has greatly influenced or changed health care operations or practice.
Topic 1 DQ 2
Discuss why it is important for a person working in health care to understand statistical concepts. Provide an example of how statistical data is used in your organization or specialty area today and what you are expected to do with this information as a practitioner.
The ability to understand the data about a special issue in the health care setting and apply it is an essential for positive patient outcome is extraordinarily crucial in our field today. The health care field is an ever changing environment with a constant need for improving the process. In the analysis of the data, trends or patterns are recognized, and those trends allow the assumption of predictability, which can create stronger models of care, resulting in increases quality of care and patient safety. Statistical analysis of the data is used to answer questions that improve population health. I am an ECT nurse and the program started 6 years ago with our success rate being 77% compare to state wide. The result is based on a questionnaire with specific questions after 12 acute treatment. This is how we promote the program. I think that there is many unanswered question in this data i.e. define “success rate” , “is it ECT with medication combination” etc…. I have seen individual success generally half way through simply by a smile, improved mood and affect, able to resume some simple daily functions, watching a movie etc…
HLT 362 Topic 1: Application of Statistics in Health Care
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:
- Describe the application of statistics in health care. Specifically discuss its significance to quality, safety, health promotion, and leadership.
- 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.
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.
Re: Topic 1 DQ 2
Professor and Class,
Statistical Concepts in Nursing
It is incredibly crucial for health professionals to understand statistical concepts, particularly when scrutinizing and critically analyzing health reports and documents. In the recent past, healthcare organizations have seen a rampant increase in research and evidence-based practices. As such, understanding statistical concepts will allow healthcare professionals to comprehend research which underpins evidence-based practices (Baghi & Kornides 2013). Additionally, health industries gain knowledge on consumer market features such as age through statistical information. Such statistics determine types of services for consumers and their level of affordability. Health organizations also use statistics for limited resource allocation. Quality improvement is a critical aspect of health facilities. Statistical information is an essential tool for measuring organizational performance. It establishes benchmarks and standards of excellence through which quality improvement units utilize to measure future outcomes. Analytical aspects are also crucial in innovative product development.
My area of specialty is case management. As health executives, we are tasked with planning, guiding, and coordinating patient care according to patient needs and situations. We are responsible for maintaining communication between the patients, insurance providers, physicians, and the patient’s families. Therefore, possessing in-depth knowledge of statistical components, insurance, and overall medical terminology is highly essential (Lukersmith, Millington & Salvador-Carulla, 2016). We perform sequential and sometimes overlapping functions in mental health, geriatric care, and other services. In my unit, we utilize statistical information to determine eligible patients through a collection of in-depth information on patients’ needs as well as resources. Through this information, we understand the patient’s social, physical, mental, and spiritual situation of the patient. Statistical information provides us with information on the potential of the patients to benefit from home health services. Such information enhances targeting for services that improve the health of long-term care patients. We utilize statistical information to effectively document and submit patient medical records. It also assists in the evaluation of patient needs for successful prioritizing.
Baghi, H., & Kornides, M. (2013). Current and future health care professionals’ attitudes toward and knowledge of statistics: How confidence influences learning. Journal of Nursing Education and Practice, 3(7). doi: 10.5430/jnep.v3n7p24
Lukersmith, S., Millington, M., & Salvador-Carulla, L. (2016). What is Case Management? A Scoping and Mapping Review. International Journal of Integrated Care, 16(4), 2. doi: 10.5334/ijic.2477