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HCI 660 Topic 2 Benchmark – Report Specifications GCU

HCI 660 Topic 2 Benchmark – Report Specifications GCU

Report Specifications – Benchmark
Healthcare reports are data-driven evaluations of the performance of certain processes or tasks inside a healthcare organization, with the goal of improving efficiency, optimizing healthcare metrics, and decreasing errors (Jastania et al., 2019). Healthcare businesses must reduce needless spending and improve overall productivity in order to meet rising demand for services. This can only be accomplished by maintaining accurate and dependable reports based on the data gathered.
Health Care Reports

The primary goal of reports in health care is to eliminate medical errors, improve the collecting of critical patient data, reduce unnecessary spending, and exponentially improve the whole healthcare process (Hai et al., 2020). Digital data, key performance indicators, and metrics, like most other present critical businesses, will be part of the projected future report system in healthcare. Healthcare businesses can use interactive digital dashboards to turn data into actionable insights, allowing them to discover strengths, detect deficiencies, and forecast events before they happen.

The Advantages of Creating Reports From Collected Data

The current healthcare system makes use of a large amount of data, which might be difficult to examine. It is critical to build a report from the vast amounts of data gathered for easy usability. As a result, the generated reports tend to benefit the healthcare organization in a variety of ways, including disease prevention, disease monitoring, keeping track of diagnostic and therapeutic techniques, reducing unnecessary costs, promoting patient well-being, and improving practitioner performance (Ambigavathi, & Sridharan, 2018). The hospital KPI dashboard, which helps track patients’ treatment costs, ER waiting time, and patient waiting time, is an example of how data reports are used in a healthcare setting.

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Inconsistent policy, incomplete clinical documentation, and disparate electronic records

Documentation integrity entails keeping comprehensive and accurate medical records. However, poor clinical documentation, fragmented electronic records, and inconsistent policies can jeopardize this integrity, making the acquired data suspect and thus ruled irrelevant (Hai et al., 2020). Poor documentation can lead to erroneous treatment decisions, a higher rate of medical errors, costly, painful, and unneeded diagnostic tests, and a breakdown in communication between the physician and the patient, all of which can contribute to poor care outcomes.

HCI 660 Topic 2 Benchmark – Report Specifications GCU

Factors Affecting Data Collection

Several factors can influence the data collection process, including language, expenses, bias, ethics, privacy concerns, time and scheduling, and cultural sensitivity. However, depending on the type of data to be collected, the frequency of data collection varies greatly (Maher et al., 2019). For example, depending on the patient’s medical condition and the type of medication supplied, different metrics such as the patient’s vitals or diagnostic results will be collected at certain intervals when monitoring the patient’s progress.

End-user Information Requirements

Normally, the emergency department (ED) serves as a portal to a variety of acute care facilities. The average patient waits 3 to 4 hours in the emergency room before seeing a doctor, resulting in overcrowding (Khekale, Askhedkar, & Parikh, 2020). Several factors are typically considered while determining the waiting time for each patient, including the severity of the patient’s ailment. Patient demographics, the severity of the patient’s condition, modes of arrival to the ED, attendance shift, and the patients’ current health status are all important pieces of information that will be recorded.

Read Also: Describe the requirements for a reporting tool that would facilitate the tracking of a merit-based incentive payment system (MIPS)

References

R. Jastania, T. Nageeti, H. Al-Juhani, A. Basahel, Roa’a Aljuraid, A. Alanazi,… & B. Aldosari (2019, July). How to Maximize the Value of Big Data in Healthcare. In the ICIMTH (pp. 356-359). SHT1190092 (DOI: 10.3233/SHT1190092)

M. Ambigavathi and D. Sridharan (2018, December). In healthcare, big data analytics is being used. The tenth International Conference on Advanced Computing (ICoAC) was held in 2018. (pp. 269-276). DOI:10.1109/ICoAC44903.2018.8939061 (IEEE).

N. A. Maher, J. T. Senders, A. F. Hulsbergen, N. Lamba, M. Parker, J. P. Onnela,… & M. L. Broekman (2019). A systematic review of ethical issues surrounding passive data gathering and use in healthcare. 242-247 in International Journal of Medical Informatics. https://doi.org/10.1016/j.ijmedinf.2019.06.015

T. Hai, M. Z. A. Bhuiyan, J. Wang, T. Wang, D. F. Hsu, Y. Liu, P. Liu, T. Hai, M. Z. A. Bhuiyan, J. Wang, T. Wang, T. Wang, T. Wang, T. Wang, T. Wang, T. Wang, T. Wang, T. Wang, T. Wang, T. Wang, T. Wang, T. Wang (2020). DependData: Data collection dependability in BSNs for healthcare monitoring via three-layer decision-making Information Fusion, vol. 62, no. 2, pp. 32-46. https://doi.org/10.1016/j.inffus.2020.03.004

S. N. Khekale, R. D. Askhedkar, and R. H. Parikh (2020). An Evaluation of Simulation Modeling in Reducing Patient Waiting Time in Hospital Emergency Departments (EDs). 52-64 in the International Journal of Applied Industrial Engineering (IJAIE). IJAIE.2020010103 (DOI: 10.4018/IJAIE.2020010103)

Assessment Description
The purpose of this assignment is to describe the considerations for gathering report specifications. In a 500-700 word essay, address the following:

Describe the purpose of reports in health care.
What are the benefits of generating reports from gathered data? Provide an example of how report data are used in a health care setting.
Describe how incomplete clinical documentation, disparate electronic records, and inconsistent policy affects data acquisition.
Describe factors that can influence how often data should be collected.
Assess the information needed to perform a workflow study tied to wait times in an emergency department. Include the relevant data that would need to be acquired in order to evaluate wait times

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