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Gathering Report Specifications

Gathering Report Specifications

Gathering Report Specifications

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.
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.

Benchmark Information

This benchmark assignment assesses the following programmatic competencies:

MS Health Care Informatics

2.2 Assess the information needs of end users in order to assist in the acquisition of relevant data.

MS Nursing – Health Informatics

6.6: Assess the information needs of end users in order to assist in the acquisition of relevant data.
Gathering Report Specifications

Gathering Report Specifications

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The Healthcare system is a vital sector in society, and its increased level of demand has called for the increased need to curb unnecessary expenditure while at the same time promoting efficiency and overall output. Changes in healthcare are significant, as, in some moments, it could be the difference between life and death. Fortunately, the current advancements in research and digital technology have made it possible to collect rich amounts of health data that can be used for the good of nursing and healthcare through critical analysis to produce informative reports. The technologies collect data on healthcare KPIs to get factual information that will benefit patients, caregivers, the public, and the healthcare system (Oshika & Saka, 2017). Healthcare reports are used by the different healthcare stakeholders to assess progress, discover new insights, make improvements, and promote better health outcomes. This paper aims to review the importance of healthcare reports as a quality improvement tool, the consequences of documentation, the determinants for how frequent data should be gathered, and how data can be used to perform a workflow study tied to wait times emergency department.
Reports in Healthcare
Reports in health care have a common focus area, mainly revolves around vital statistics on patient behavior, pharmaceutical, research and development, clinical data from electronic health records, continual patient care, trials, and insights into claims and operational costs (Oshika & Saka, 2017). By reviewing the key insights and performance indicators in health reports, health care institutions and patients benefit a great deal. Health care reports capitalize on the power of past and current data to identify fatal medical issues and their mode of occurrence, which are significant in developing preventive measures and informing knowledge and practice through disease monitoring.
Healthcare reports promote economic efficiency since data collected from daily operations expenditures from patient care, medication, equipment, and staffing can be streamlined and adjusted within the budget based on priority, ethics, trust, and safety. Reports and hospital analytics also aid in assessing diagnostic and therapeutic techniques based on their efficiency, financial viability, patient outcomes, and nurse satisfaction (Oshika & Saka, 2017). Such information influence decisions on which processes to uphold, what areas to improve, and what practices need to be abandoned. Reports on disease and healthy lifestyles can help prevent diseases, saving on scarce resources.
Benefits of Generating Reports from Gathered Data
The benefit of generating reports from gathered data is that the data represents real-life elements and scenarios; therefore, any interpretations made from the information directly impacts care processes. Collected data provides insight into healthcare issues, which help improve care, save time, and achieve crucial numbers that dictate financial performance. Most of the data in reports are most up-to-date, making them relevant to solving issues at hand and integrating them into the existing operational model, which ends up improving quality performance, avoiding waste, ensuring regulatory compliance, and reducing cost (Oshika & Saka, 2017). Report data operate on the quality principle that an aspect can be improved if you can measure it. For example, a report on patient falls in a clinical setting can be used to prevent falls by first noting the current fall rates, the current care methods in use, and fall risk factors. Understanding such statistics can help implement fall prevention strategies, minimize fall risk factors, and support best practices.
Incomplete Clinical Documentation, Disparate Electronic Records, and Inconsistent Policy
Nurses and other caregivers have an obligation to follow the right documentation processes and avoid errors in such tasks. Factors such as incomplete clinical documentation, disparate electronic records, and inconsistent policy affect data acquisition, impairs the validity and credibility of subsequent reports (Stevens et al., 2016). For example, incomplete documentation can not only cost the organization and responsible caregiver legal fees, loss of reputation, and license, but further consequences can develop, such as providing inaccurate information to statistical databases leading to compromise in patient care processes, loss of revenue, and erroneous research. Disparate data and policy inconsistencies create inefficiencies as it makes it hard to reconcile data, cause more complexities, and wastes time and resources. Therefore, it is the role of nurses to ensure they make correct documentation as needed to improve healthcare.
Factors that Influence Data Collection
The use of secondary EHR data for policy development, research, and knowledge enhancement continues to be used in healthcare. The frequency in which information is collected from clinical facilities depends on the new opportunities and challenges created by data availability, data quality, and comparability (Gentil et al., 2017). Factors that influence data collection range from inefficiencies in the process, such as discrepancies in data definition, incomplete data, mandatory and voluntary reporting, poor coding knowledge, and inconsistencies in policies. Such factors force institutions to waste more time in aligning the data. Technological barriers, organizational and cultural issues, economic pressure of data Collection processes, and competing priorities in healthcare are factors that also delay the frequency in which clinical data can be collected for analysis and reporting (Gentil et al., 2017). Most studies suggest that government policies, technology standardization, and advanced research can improve the frequency of data collection and faster data analysis and reporting.
Information Needs in an Emergency Department
Streamlined workflow in clinical settings saves time and improves patient health outcomes. ER wait times are significant since they measure the quality and performance of care in emergency settings, which require agility in treatment to minimize wait time and promote speedy treatment.ER wait times, can reveal issues with processes, workflow, and caregiver’s ability to provide quality care (Amina et al., 2016). The relevant data needed to review wait times include arrival time at the department, time of assessment by a nurse, time assessed by a physician, examination time, time of final disposition, and finally, adding the total waiting time in the emergency department (Amina et al., 2016). The better thing with this study approach is that data can be collected from the attendant’s perspective or by the patient. With time data from the above steps of the workflow in an ED, it can be easier to evaluate wait times and care quality.

Amina, S., Barrati, A., Sadeghifar, J., Sharifi, M., Toulideh, Z., Gorji, H. A., & Feazbakhsh, N. (2016). Measuring and analyzing waiting time indicators of patients’ admitted in emergency department: a case study. Global journal of health science, 8(1), 143.
Gentil, M. L., Cuggia, M., Fiquet, L., Hagenbourger, C., Le Berre, T., Banâtre, A., … & Chapron, A. (2017). Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature. BMC medical informatics and decision making, 17(1), 139.
Oshika, T., & Saka, C. (2017). Sustainability KPIs for integrated reporting. Social Responsibility Journal.
Stevens, G. A., Alkema, L., Black, R. E., Boerma, J. T., Collins, G. S., Ezzati, M., … & Lawn, J. E. (2016). Guidelines for accurate and transparent health estimates reporting: the GATHER statement. PLoS medicine, 13(6), e1002056.

Gathering Report Specifications

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