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Data science and advanced analytics
QUESTION
What are the key areas in which data analytics can improve? Who are the key stakeholders who should be involved in this/these improvements?
| Subject | Nursing | Pages | 3 | Style | APA |
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Answer
Key Areas that can be Improved by Data Analytics and Key Stakeholders Involved
Data analytics is increasingly becoming an integral component of healthcare. The implementation or adoption of data analytics in healthcare organizations contributes to the improvement of key areas associated with big data such as patients’ medical records, hospital records, medical examination results, and devices that constitute the internet of things (IoT) (Dash et al., 2019). Quelch and Rodriguez (2015) highlight five primary areas that data analytics can improve including advanced analytics, applied outcomes research, client services, data services, compulsory reporting, and project management. Data analytics contribute to the improvement of these areas by ensuring proper management and analysis of data so that meaningful information can be derived (Dash et al., 2019). This information can then be employed in supporting clinical decision-making, health management, delivery of quality care, and disease surveillance (Khanra et al., 2020). Data analytics also help in the improvement of outcomes associated with non-standard clinical work (Quelch & Rodriguez, 2015). Moreover, data analytics play a vital role in improving healthcare communication strategy (Quelch & Rodriguez, 2015). Data analytics also improves financial and patient data by combining these two classes of data to provide decision support (Quelch & Rodriguez, 2015).
The key stakeholders involved in the implementation of data analytics in healthcare organizations are executive leadership, data analysts, researchers, information technology (IT) consultants, patients, nurses, physicians, and external partners including healthcare systems and International Business Machines (IBM) Corporation (Quelch & Rodriguez, 2015). Executive leadership assists in the execution of organizational vision (Quelch & Rodriguez, 2015). Data analysts play an essential role in generating healthcare reports, while researchers help in the measurement of the strengths associated with data analytics’ interventions and models delivered. Information Technology consultants provide technical advise to the organization on how a unified analytics group can be created through the establishment of a high-level road map (Quelch & Rodriguez, 2015). Patients are also among the key stakeholders needed to ensure the success of implementing data analytics in healthcare organizations considering that patients’ engagement is needed to improve quality of outcomes (Quelch & Rodriguez, 2015). Persistent devotion to establishing robust relationships with physicians and nurses is also considered a vital step to ensuring the success of data analytics. Furthermore, physicians play a significant role in the success of data analytics by engaging in the implementation of any tools and recommendations derived from data analytics (Quelch & Rodriguez, 2015). External partners such as healthcare systems and IBM play a significant role in the improvement of the quality and breadth of data.
References
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Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal of Big Data, 6(1), 1-25. Khanra, S., Dhir, A., Islam, A. N., & Mäntymäki, M. (2020). Big data analytics in healthcare: a systematic literature review. Enterprise Information Systems, 14(7), 878-912. Quelch, A. J., & Rodriguez, L. M. (2015). Carolinas HealthCare System: Consumer Analytics. pdf file. |