Benefit and Challenge of Using Big Data
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Benefit and Challenge of Using Big Data
As processing systems advance and artificial intelligence is added, the delivery of healthcare is changing quickly (Benke & Benke, 2018). Clinical data can be continuously computed using AI models and other big data processing software (Benke & Benke, 2018).
Real-time data analysis may be able to predict severe disease outbreaks, which enables the earlier implementation of preventative measures. To prevent outbreaks, save lives, and lower healthcare costs, accurate epidemiological surveillance is essential (Jovanovic Milenkovic, Vukmirovic, & Melenkovic, 2019). In order to help avoid future epidemics, identify the most efficient therapies, and follow the causative variables in their spread, the information gathered can also be employed in further research.
Challenge of Using Big Data
Even with state-of-the-art technology, creating knowledge requires sorting through enormous amounts of data. To ensure that accurate, useful knowledge is produced, precise and thorough data collection is required (Jovanovic Milenkovic et al., 2019). The many approaches to recording, storing, gathering, and distributing this information create additional challenges (Jovanovic Milenkovic et al., 2019).
In the healthcare industry, data are either standardized or uniform. Different healthcare systems and staff personnel use different terminology, terminologies, and abbreviations. AI is attempting to address this issue with learning algorithms; however results will be biased if all pertinent data is not fully captured.
The safety and health of the patients may be in danger if this inaccurate information is used. The American Nurses Association has issued a policy statement in response to these worries that urges the use of standard terminologies to facilitate interoperability for the exchange of healthcare data (ANA, 2018). In order to simplify information interchange and address patient safety concerns, nurse leaders must make sure staff members understand and use approved terminology in the EHR.
RUBRIC
Excellent Quality 95-100%
Introduction 45-41 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Literature Support 91-84 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Methodology 58-53 points
Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score 50-85%
40-38 points More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.
83-76 points Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.
52-49 points Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality 0-45%
37-1 points The background and/or significance are missing. No search history information is provided.
75-1 points Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.
48-1 points There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
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Benefit and Challenge of Using Big Data