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Data Analytics for Healthcare Managers

Data Analytics for Healthcare Managers

As the health care manager for the Krahe Health Care facility, I believe that a survey about patient satisfaction and quality of care would be beneficial for enhancing patient outcomes. The data is significant since it tells healthcare managers about client satisfaction levels. The data allows managers to assess the degree of effectiveness in delivering high-quality healthcare and understand the variables affecting care delivery (Adu et al., 2019). It opens the way for more informed decisions about improving clinical services by using sample populations to examine their feedback. For example, the facility can evaluate patient satisfaction by having patients complete a review form. The review forms can be handed out to random patients, with the select sample being used to represent the entire population of patients. Using the collected and analyzed information, inefficiencies regarding the delivery of care services may be easily detected. The information may assist various users both within and beyond the facility, and it can be used by management in their broader decision-making processes. Healthcare professionals may also utilize it as a tool for gathering data to design plans that would allow them to give better services. Our assignment writing help is at affordable prices to students of all academic levels and academic disciplines.

The information has a significant influence on the healthcare business, influencing both short-term and long-term decisions. Decision-making based on statistical analysis is highly dependent on the data quality and selection process. When better selections are made, the quality of the services provided improves, making it easier to achieve higher consumer and staff satisfaction levels. The public and consumers may utilize the data to estimate the healthcare system’s performance rate and, as a result, make more informed proposals for change. It’s also crucial to grasp the significance of statistics and data analytics in the healthcare business because they allow management to assess a problem that’s harming the facility’s performance. It allows for the detection of potential flaws and faults and the development of a viable remedy.

The use of technology in healthcare delivery is critical because it allows management to provide high-quality services while increasing patient access (Lee, 2019). Technology also improves the performance of healthcare practitioners by enabling them to make better and more accurate decisions and practices. It also facilitates efficient time management for all stakeholders in the healthcare sector by improving organizational structure and workflow. When applied in practice, several technologies can help decrease medical mistakes by assisting with drug scheduling, diagnosis, and treatment operations.

Data analysis has both excellent and negative implications for the facility’s finances. Positive effects include aspects such as boosting the client base and, therefore, improving the return on services offered. While the financial impact of statistical analysis may be significant in the near term, it is modest in the long term. The benefit of having a high-quality service delivery system is there are more patients to treat since the healthcare institution attracts more clients through improved customer satisfaction. With an increase in client frequencies, the firm’s performance is improved, and its reputation is strengthened, increasing the possibility of people requesting services from the facility. When it comes to inventory management, the increased patient base boosts the benefits of economies of scale since management can now purchase in bulk, resulting in a low-cost business.

Thanks to data analysis, the function of statistics and data analysis in staffing based on census data will also be better understood by stakeholders. It assists the facility in determining its customer base, service delivery patterns, and patient needs. Census data tells management information about variables like the number of staff in various departments and the average number of patients each department sees, allowing them to allocate resources better. Management can delegate duties depending on the demand for healthcare services and the availability of healthcare professionals. As a result, managers can make feasible, sensible, and dependable judgments in the long run, ensuring sustainability and success.

References

Adu, M. D., Malabu, U. H., Malau-Aduli, A. E., & Malau-Aduli, B. S. (2019). Enablers and barriers to effective diabetes self-management: A multi-national investigation. PloS one, 14(6), e0217771.

Lee, D. (2019). A model for designing healthcare services based on the patient experience. International Journal of Healthcare Management, 12(3), 180-188.

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Question 


Imagine you are a health care manager for the Krahe Health Care facility. You have emailed your assistant manager, Michelle, the survey data for patient satisfaction, quality of care, and likelihood to recommend.

Data Analytics for Healthcare Managers

You have asked Michelle to review the data and create a presentation for the staff addressing the impact of the data on the facility. Michelle reviews the data but questions the importance and usefulness of the data to the staff.

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