Statistics plays an important role in the health sciences in research, planning, and decision-making sections. Statistics finalizes the efficiency, utility and the cost of medical goods and services. Healthcare facilities have applied statistical analysis to analyze their performance outcome. Medical facilities and other care providing organization have implemented data-driven continuous quality improvement programs to ensure maximum efficiency. The government health and human service agencies assess the general health and wellbeing of the country’s population by use of statistical information (Viceconti, Hunter, & Hose, 2015). Statistics application in health care is essential in improving the quality, safety, health promotion, and leadership. Application of statistical knowledge has been applied in surgical floors in hospitals.
Application of statistics in healthcare has enabled quality improvement in healthcare facilities. The medical professionals aim at providing useful goods and services adequately. Statistics in healthcare organization are therefore crucial in assessing their success or failure. Creating standards of providing services or benchmarks help the quality improvement managers to evaluate future possibilities and outcomes (Viceconti, Hunter, & Hose, 2015). The analyst determines the general growth and viability of a healthcare organization by using statistical data collected over time.
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Application of statistics in healthcare plays a role in ensuring patient safety. Currently, with the use of data-driven healthcare use predictive analytics and machine learning, the healthcare facility can replace years of lost information in patient safety and hence make the necessary improvements to avoid errors (Joudaki et al., 2015). Data-driven patient safety has enabled the health care facilities to have tools that will allow better patient safety outcomes. The incisive tools will determine the intergraded clinical, cost, predictive analytics and operational data, machine learning and others to respond to the facility’s weaknesses in patient safety and hence making improvements.
Application of statistics in healthcare plays a role in health promotion. Health statistics provide indicators that help us be aware of the situations and conditions of life and health in a country (Batarseh & Latif, 2016). They ensure a full understanding of the health of the whole country. They also help us aware of the effects of health on individuals and work for their health improvements (Joudaki et al., 2015). Examples of health promotion data include Substance Abuse and Mental health services administration. This provides reliable data on substance abuse such as alcohol, drugs, tobacco and other abuse in the United States. Another health promotion data is Nutrition, Physical Activity, and Obesity which provides data and information on the health status and behaviors of the Americans through charts, tables, and maps. Other health promotion data include Exercise and Physical Activity Data, Smoking and Tobacco Use Data, Behavioural Risk Factor Surveillance, Overweight and Obesity Data and Statistics and Alcohol Facts and Binge Drinking.
Application of statistics in healthcare also plays a role in leadership. Healthcare leadership is essential in a healthcare setting, therefore, making the application of statistics important. Effective leadership is necessary to lead and make relevant changes in the healthcare setting to achieve the goals of the medical facility. Use of statistics on individuals has enabled the clinical setting to select their leaders (Batarseh & Latif, 2016). The leaders may also track different statistics in the healthcare organization to determine the progress of the facility. Statistics in a healthcare facility will help leaders in the facility to make a relevant decision that may impact the hospital positively. Collection of hospital data provides information on what should be done, improved or corrected; hence acing it easier for the leaders to make a decision. Statistics in healthcare will enable ease of management due to the collection of hospital medical records and performance data.
In hospitals, statistical knowledge has been applied in surgical floors. Inpatient falls, and injuries are among the common with less effective prevention techniques. Statistical knowledge has been used to reduce surgical inpatients, pre-op inpatients and post-op patients from falls and injuries using videos, icons, and alarms. Statistical data has enabled the medical professionals to submit, and assess images of fall risk factors used to screen the patients within every 12 hours (Beattie, Murphy, Atherton, & Lauder, 2015). The icons also provide more information to the medical professionals on the risk fall factors and injuries hence improving the patient safety. Videos also provide the medical staff with detailed information on the safety measures to perform in surgical rooms. The videos also provide information on how the patient’s risks of fall could mitigate their risks. Application of statistical knowledge in surgical floors has enabled the health professionals to know the possible fall risks the effective way to care for pre-op inpatients, post-op inpatients, and outpatients.
Statistical knowledge has been applied in caring for the inpatients. Use of medical records is important in providing care for the inpatients. Statistics collected from medical records help the care providers analyze the patient’s condition and what they are suffering from and their treatment procedures. It also enables the care providers to use the inpatients' medical records to have detailed information about the admitted patient in the hospital ward. Statistical knowledge will also enable the care providers to collect unrecorded information and add it to the patient medical record for future reference (Beattie, Murphy, Atherton, & Lauder, 2015). Application of statistics in healthcare has also enabled training for the inpatients' care provider, hence, improving inpatient care. This, therefore, improves the patient’s care hence improving the patients’ health status since they will receive adequate treatments then discharged when they have recovered.
In conclusion, application of statistics is healthcare is important. It helps the healthcare facility provide efficient care and even improves the overall operations of the healthcare facility thus enabling the facility to achieve their goals.
References
Batarseh, F. A., & Latif, E. A. (2016). Assessing the quality of service using big data analytics: with application to healthcare. Big Data Research, 4, 13-24.
Beattie, M., Murphy, D. J., Atherton, I., & Lauder, W. (2015). Instruments to measure patient experience of healthcare quality in hospitals: a systematic review. Systematic Reviews, 4(1), 97.
Joudaki, H., Rashidian, A., Minaei-Bidgoli, B., Mahmoodi, M., Geraili, B., Nasiri, M., & Arab, M. (2015). Using data mining to detect health care fraud and abuse: a review of literature. Global Journal of Health Science, 7(1), 194.
Viceconti, M., Hunter, P., & Hose, R. (2015). Big data, big knowledge: big data for personalized healthcare. IEEE Journal of Biomedical and Health Informatics, 19(4), 1209-1215.
