The staff needs to review information on patient satisfaction, quality, and likelihood to recommend because it will improve Krahe Health Care personnel’s understanding of how their work impacts the patient’s perceptions of this facility. For example, Thapa and Joshi (2019) report that patients recognize quality based on the nurses’ explanations and the perceived responsiveness to the former’s health state. Hence, the behaviors of nurses have a direct impact on the quality scores this hospital receives. Once the personnel sees the current data compared to the benchmark and understands the factors that impact patient scores, they will be able to modify their behavior to assist Krahe’s patients better.
The users of this data include the administration, nurses, and physicians who work at this facility. Any individual who works at Krahe and comes in direct contact with patients can contribute to a better quality of care. Moreover, this data allows the hospital to forecast the potential number of patients who will choose Krahe as their provider. The correlation between patient satisfaction and their intention to recommend this hospital and the increasing number of new patients is easy to understand—if individuals are satisfied with the services they received at Krahe, they will recommend it to their friends and family members, creating a free promotion campaign. Hence, this data impacts the operations of Krahe Health Care directly.
Statistics and data analytics in the healthcare industry allow determining if a care provider satisfies the requirements of the government bodies and the patient’s expectations regarding services and their quality. For instance, Dash et al. (2019) note that big data has become integral for healthcare since this industry generates massive amounts of information. Some examples include electronic health records and payer-provider information. However, Dash et al. (2019) note that the purpose of collecting this data is not in storing it but rather in using this data to improve the services and the health of individuals. Statistics can show important trends and help identify issues in the quality of care.
New technology and the integration of IT into healthcare allow to collect and analyze data more efficiently. For example, electronic patient records allow physicians to access information about patients quickly, unlike traditional paper health records. Since new technology is integral for modern healthcare facilities, the latter use it to collect and analyze data. Hence, Krahe will leverage the information that was collected about the quality of care and apply it to improve its operations, which is why it is integral to show this presentation to the staff.
From a financial perspective, quality of care impacts Krahe Health because insurers and policymakers review patient satisfaction scores when making decisions about partnerships. Krahe may lose some insurers if the quality of care is perceived as unsatisfactory. Finally, staffing based on census data is another example of how technology and statistics improve healthcare. This approach allows having a flexible human resources policy that relies on the demand for certain healthcare services instead of assessments and predictions made based on assumptions. To summarize, the collected data on quality and the patient’s perceptions of Khare Health as a healthcare provider has to be seen by the hospital’s personnel because these benchmarks affect the facility.
References
Dash, S., Shakyawar, S.K., Sharma, M., & & Sandeep K. (2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data 6, 54, 10. Web.
Thapa, S. & Joshi, A. (2019). Patients’ satisfaction with quality nursing care at a teaching hospital, Chitwan. Journal of Nursing and Health Science, 8(3), 71-75.