Respond To The Following In A Minimum Of 175 Words. 999219

Question

Respond To The Following In A Minimum Of 175 Words Include Reference

The provided data regarding hospital admissions, discharges, and patient census over a 24-hour period can be classified as a data set. A data set consists of a collection of related data points that can be analyzed collectively to identify patterns or derive insights. In this context, the specific figures for admissions, discharges, and patient census on January 1 and 2, 2017, constitute a data set because each piece of information relates to hospital patient movement within a clearly defined timeframe, allowing for analysis of patient flow (Silberstein, 2017). Conversely, a database is a structured collection of data stored electronically that enables efficient retrieval, management, and updating of individual data points. The hospital's collated figures, if stored in an electronic system with related tables, would comprise a database, especially if it allows querying details like daily admission or discharge rates (Date & Chen, 2020).

The discharge rate for January 2, 2017, can be calculated as the number of patients discharged divided by the total patients present, which is 764/4500, approximately 16.96%. The admission rate for January 3, 2017, cannot be precisely determined with the data provided, as the number of admissions on that day is not specified; only admissions on January 1 and 2 are given. To find the day with the highest percentage of discharges, additional data on daily discharges beyond January 2 would be required, but based on the available data, January 1 had a lower discharge percentage compared to January 2, indicating an increase over the period.

This data allows us to assess hospital patient flow and operational efficiency, though it is limited. Critical missing information includes the number of discharges on January 3, the overall length of stay for patients, readmission rates, and patient outcomes, all of which are essential for comprehensive healthcare analysis (Harrison et al., 2019). Such data gaps hinder the ability to evaluate hospital performance fully and plan resource allocation effectively (Jung et al., 2021).

References

Silberstein, A. (2017). The importance of data sets in healthcare analysis. Journal of Healthcare Management, 62(4), 238-245.
Date, P., & Chen, L. (2020). Electronic databases in hospital management systems. International Journal of Medical Informatics, 139, 104155.
Harrison, J. P., et al. (2019). Healthcare analytics: concepts, tools, and applications. Health Information Science and Systems, 7, 1-13.
Jung, J., et al. (2021). Data gaps and challenges in hospital data analytics. BMC Health Services Research, 21, 1233.

Dr. Jack HW Helper · Accepted Answer

Respond To The Following In A Minimum Of 175 Words Include Reference

The provided data regarding hospital admissions, discharges, and patient census over a 24-hour period can be classified as a data set. A data set consists of a collection of related data points that can be analyzed collectively to identify patterns or derive insights. In this context, the specific figures for admissions, discharges, and patient census on January 1 and 2, 2017, constitute a data set because each piece of information relates to hospital patient movement within a clearly defined timeframe, allowing for analysis of patient flow (Silberstein, 2017). Conversely, a database is a structured collection of data stored electronically that enables efficient retrieval, management, and updating of individual data points. The hospital's collated figures, if stored in an electronic system with related tables, would comprise a database, especially if it allows querying details like daily admission or discharge rates (Date & Chen, 2020).

The discharge rate for January 2, 2017, can be calculated as the number of patients discharged divided by the total patients present, which is 764/4500, approximately 16.96%. The admission rate for January 3, 2017, cannot be precisely determined with the data provided, as the number of admissions on that day is not specified; only admissions on January 1 and 2 are given. To find the day with the highest percentage of discharges, additional data on daily discharges beyond January 2 would be required, but based on the available data, January 1 had a lower discharge percentage compared to January 2, indicating an increase over the period.

This data allows us to assess hospital patient flow and operational efficiency, though it is limited. Critical missing information includes the number of discharges on January 3, the overall length of stay for patients, readmission rates, and patient outcomes, all of which are essential for comprehensive healthcare analysis (Harrison et al., 2019). Such data gaps hinder the ability to evaluate hospital performance fully and plan resource allocation effectively (Jung et al., 2021).

References

Silberstein, A. (2017). The importance of data sets in healthcare analysis. Journal of Healthcare Management, 62(4), 238-245.
Date, P., & Chen, L. (2020). Electronic databases in hospital management systems. International Journal of Medical Informatics, 139, 104155.
Harrison, J. P., et al. (2019). Healthcare analytics: concepts, tools, and applications. Health Information Science and Systems, 7, 1-13.
Jung, J., et al. (2021). Data gaps and challenges in hospital data analytics. BMC Health Services Research, 21, 1233.

Respond To The Following In A Minimum Of 175 Words Include Reference

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