Importance of Statistics and Data Analytics in Health Care : Expert Essay Sample

Importance of Statistics and Data Analytics in Health Care: Example

Email Subject: Importance and Usefulness of Statistics and Data Analytics

Patient safety is at the forefront of modern healthcare delivery. When patients are satisfied with the care staff and services, they immediately refer others to the facility. Customer satisfaction must be prioritized when providing care. The information provided is critical to our facility because it provides patient feedback on our performance. Patient satisfaction surveys ensure that healthcare facility personnel are aware of any gaps that must be filled in order to provide high-quality services (Kumar et al., 2019).

It inquires not only about their hospital experience but also whether or not the services provided met their expectations. This communicates to the facility what is important to the patients. Importance of Statistics and Data Analytics in Health Care.

The sources for the patient satisfaction surveys are the service and care providers. On many occasions, the patients do not interact with the hospital board or the management; rather interact with the quality of service provided. Since the data provides insight into the patient’s perspective of the care provided, the care provision teams comprising a majority of the nurses should be courteous in comparing what is essential to the patients versus what is delivered (Mathie et al., 2018).

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The significant impact of this data on the Krane Healthcare facility is to ensure that the quality care provision is improved to match the patient expectation. It is because the satisfaction in patients significantly affects the extent of clinical outcomes, their retention, and other claims such as medical malpractice. Hence the need to improve the quality of service. Importance of Statistics and Data Analytics in Health Care.

Data analytics are critical for the facility because they provide the insights needed to improve service quality. For the healthcare facility, modern data analysis technology can analyze patient survey data. The descriptive statistics about patient satisfaction, quality care, and referral likelihood are critical for the facility because they reveal the nature of any new technology needed to thrive and satisfy customers.

Patient satisfaction with care has an impact on their willingness to refer others to the facility (Mathie et al., 2018).

This conclusion is based on the inferential statistics from the patient survey. Inferential statistics are essential for predicting how factors affecting quality outcomes are related. Inferential statistics can also help the facility plan its finances. Inferential statistics can be used by the facility to make financial decisions to improve care quality. For example, if a lack of care resources has an impact on quality, more funds can be invested to improve quality. Importance of Statistics and Data Analytics in Health Care.

The population engaged in the healthcare sector provide an excellent source of data to use in the decision making of the facility. To mention technology, the population prompt the requirements to adopt and implement technological solutions such as health record-keeping. Since the patient population is usually far more than caregivers, achieving better patient satisfaction and quality care implies that staffing is optimally modified (Kumar et al., 2019).

Feedback from patients indicates to which extent staffing affects the quality of service delivered, prompting its modification. For example, when improper feedback is received, yet the number of burses is few, it can be inferred from intervention and statistics that better staffing is required. Importance of Statistics and Data Analytics in Health Care.

Finally, it is crucial to note that although the information on customer feedback may involve a sample from the entire population, it is important to relate it to the whole population of patients who visit the hospital. A sample of patients participating in the interview represents the entire population, hence the need to gauge the data inferentially to derive the best decision to implement at v different steps.

Information gathered from patients’ feedback judges whether the care provided is quality and satisfying or whether they are underperforming. Through proper data analysis, it becomes easier to infer solutions and implement them rightly in our facility. Importance of Statistics and Data Analytics in Health Care.


Kumar, M., Savage, G. C., Aukett, J. W., & Gallagher, J. E. (2019). Patient feedback questionnaires − why bother? Dental Update, 46(6), 580–591.

Mathie, E., Wythe, H., Munday, D., Millac, P., Rhodes, G., Roberts, N., Smeeton, N., Poland, F., & Jones, J. (2018). Reciprocal relationships and the importance of feedback in patient and public involvement: A mixed methods study. Health Expectations, 21(5), 899–908.


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