Nursing Informatics: Data Acquisition for Healthcare Reports Analysis

This essay delves into the critical aspects of nursing informatics, focusing on healthcare reports and data acquisition procedures. It examines the dual purpose of healthcare reports: service provision and operational monitoring, highlighting the importance of accurate data collection and medical coding. The essay explores the impact of incomplete, inconsistent, and disparate records on data acquisition, emphasizing potential errors like data loss and redundancy, which can lead to ineffective decision-making and adverse patient outcomes. It further investigates factors influencing data collection frequency and analyzes wait times in the emergency department, considering data flow diagrams, attribute relationships, and cardinality to evaluate information turnaround time. The analysis underscores the significance of efficient data management and its direct impact on healthcare service quality and patient care.

Running head: NURSING INFORMATICS
Considerations for Gathering Report Specifications in Nursing Informatics
Name of the Student
Name of the University
Author note

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Introduction
In this era of digitalization the significance of record keeping in healthcare
environment has increased significantly (Manogaran et al., 2017). The purpose of this essay
is to discuss the purpose of healthcare reports and data acquisition procedures while focusing
on impact of faulty operations. Furthermore, in this assay the wait time associated with data
acquisition in emergency department will be also evaluation.
Purpose of reports in health care
In healthcare system the reports are developed aiming at two major attributes namely
the service providing and operational monitoring (Garrety et al., 2017). Hence, a health report
includes the patient details, treatment details, interventions as well as the internal operational
availability of the healthcare organization and workforce allocation. It helps a healthcare
facility to monitor their operations while tracking the quality of service providing.
Benefits and example of generating report from gathered data
The major benefit that a healthcare facility can gain from data recording system is that
it allows operational and service monitoring for execution and further improvement. As an
example of generating report from incoming data, the data acquisition of emergency
department can be described. In an emergency department of a healthcare facility the
patients’ pathophysiological details, previous treatment process, insurance details are
collected along with the current emergency intervention provided the organization (Kohli &
Tan, 2016). From these details the medical intervention report as well as patient’s health
report can be generated. Medical coding serves a major part in this operation.
Impact of Incomplete, inconsistent and disparate records on data acquisition

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Inappropriate data collection and record keeping can lead to several database related
error such as data loss, data inconsistency, redundancy and many others. A corrupted medical
record restricts the entire healthcare service provider team including doctors, nurses,
midwives and others from collecting appropriate pathophysiological and diagnosis results.
Lack of access to appropriate data results ineffective decision making for medication and
other treatment process. This boundaries yield major treatment failures that can lead to fatal
consequences and even death of the patients.
Factors that can influence the frequency of data collection
The data frequency of from these details the medical intervention report as well as
patient’s health report can be dependent on the needs of multiple interventions, finding
associated data generated and rewriting the records. Medical coding serves a major part in
this operation.
Workflow study tied to wait time in emergency department
The wait time is also known as information turnaround time in healthcare service
environment. The process of taking decision regarding diagnosis and treatment method
depends on the related process of acquiring data to generating record. The cardinality of
different dataset increases the clearance of data to reach the end position of the flow from
which the data can be used for taking decisions (Bormann et al., 2014). Hence, to evaluate the
wait time of an emergency department the structure of the data flow diagram, major attributes
of individual relations, cardinality within different relations must be collection. Through both
manual calculation and data flow simulation based process the wait time can be calculated.
Considering the data looping and optional information flow are essential in this wait time
evaluation procedure.
Conclusion

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Hence from the above discussion it has been found that healthcare report system has
two major attributes namely the service providing and operational monitoring. It has been
also found that Medical coding serves a major role in the data acquisition and report
generation.

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References
Bormann, D. S., Cornelius, A. T., Escher, T. W., Grover, S., Giesler, A. M., Hansen, J. L., ...
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Garrety, K., McLoughlin, I., Wilson, R., Zelle, G., & Martin, M. (2014). National electronic
health records and the digital disruption of moral orders. Social Science &
Medicine, 101, 70-77.
Kohli, R., & Tan, S. S. L. (2016). Electronic health records: how can IS researchers
contribute to transforming healthcare?. Mis Quarterly, 40(3), 553-573.
Manogaran, G., Thota, C., Lopez, D., Vijayakumar, V., Abbas, K. M., & Sundarsekar, R.
(2017). Big data knowledge system in healthcare. In Internet of things and big data
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