Data Analytics For Health Care Managers

Data Analytics For Health Care Managers

Data Analytics For Health Care Managers 150 150 Peter

Data Analytics For Health Care Managers

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. 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.

Write a 350- to 700-word email reply to Michelle explaining the importance and usefulness of statistics and data analytics. Your email should:

  • Explain the importance and usefulness of the data provided with respect to the health care facility in the scenario.
  • Identify the users in this data.
  • Explain the impact of the data to the health care facility in the scenario.
  • Explain the role of statistics and data analytics in the health care industry.
  • Use of new technology
  • Financial impact on an organization
  • Staffing based on census data

Cite at least 2 peer-reviewed, scholarly, or similar references according to APA guidelines.

Sample Paper

Email Reply

To: Michelle

From: Krahe Healthcare manager

Subject: Importance of data analysis and application

I have taken note of your questions regarding the applicability and usefulness of the data you surveyed to the staff. The data is important as it informs the management of the healthcare of the level of customer satisfaction. The data enables the management to determine the rate of success in meeting the quality healthcare delivery. Loopholes in the provision of healthcare services can easily be identified through the surveyed and analyzed data (Kumar & Singh 2018). The data paves the way for the making of informed decisions regarding the provision of better healthcare services.

The data has several users that it could benefit. The data could be used by the management in the overall management decision. It can be used by the healthcare service providers in being in a position to offer better services. The public and customers can use the data to determine the performance rate of the healthcare, thus offer better suggestions of improvement.

The data has a significant impact in the healthcare industry. It determines the decisions made in the short and long run. When better decisions are made, it means that the quality of service delivery is improved. This enhances the attainment of better satisfaction levels among the customers and the employees.

It is also important that you understand the role of statistics and data analytics in the health care industry. Such statistics and data analytics enable the management to analyze an issue affecting the performance of the healthcare facility (Wang, Kung & Byrd 2018). It enables the identification of possible errors and shortcomings, and thus the establishment of an effective solution.

The use of technology in the healthcare is paramount. It enables the management to offer more and quality services to more patients. Technology enhances the performance of the healthcare providers through enhanced and accurate decision making and practice. Technology makes work easier for all stakeholders in the healthcare sector.

Though the financial impact of the statistics analysis may be high in the short run, it is low in the long run. The impact of having a high quality service delivery system is having more patients to serve (Wang, Kung & Byrd 2018). The healthcare facility attracts more customers as their loyalty is won. The performance of the firm is enhanced as well as the low cost operation.

Finally, you should appreciate the role of the statistics and data analysis in the staffing based on the census data. Census data informs the management about the number of employees in the different locations (Wang, Kung & Byrd 2018). The management is able to assign tasks based on the demand of healthcare services as well as the availability of the healthcare providers. Decisions made are therefore rational, attainable and reliable in the long run.

References 

Kumar, S., & Singh, M. (2018). Big data analytics for healthcare industry: impact, applications, and tools. Big data mining and analytics2(1), 48-57.

Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change126, 3-13.