Leveraging Data in Healthcare – Assessing Its Role in Communication and Decision-Making
In healthcare, big data is a fundamental tool supporting decision-making and strategic planning. Quality data can prevent or correct organizational decision outcomes from prior, current, and future perspectives. The extensive data review allows healthcare institutions to analyze the state of affairs, notice beneficial patterns or diseases that deserve attention, and consider what aspects need development. This paper assesses the relevance of data in addressing and communicating health information among stakeholders and justifies the use of data in making healthcare decisions by citing a specific example.
Relevance of Data in Addressing and Communicating Health Information Among Stakeholders
Proper and accurate data is pivotal in managing and sharing health-related informatics as it offers good references in planning and decision-making among the stakeholders. Statistical information is better suited for exposure to trends, results, and zones of deficiency for prompt adjustments that would improve healthcare organization to an optimal level, thus effectively catering to the patient’s needs. For instance, data such as the patient’s condition changes, readmission rates, and the incidence of infection can show that certain clinical acts require adjustment. It is essential to have such information for prevention and supervision and the partitioning of supplies and resources appropriately. Additionally, having robust data allows the hospital to benchmark its performance against industry standards and competitors, fostering a culture of continuous improvement and accountability.
Communicating health information to the stakeholders involves disseminating data to the concerned audience, including patients, workers, and the authorities, and this can be achieved if the data released is accurate and easily understandable. A clear representation of data fosters confidence and interest as the entities gain insight into the rationale behind specific actions and the resultant alterations resulting from change (Perucci & Swanson, 2024). For instance, sharing the results of the patient satisfaction assessment and the feedback received contributes to the hospital’s improvement and proves the availability of quality treatment that increases patient allegiance and enthusiasm of employees. Moreover, it helps to adhere to the external legal and regulatory requirements and accreditations needed for the hospital and to manage risks. With the right quality of data, the hospital is able to clearly define its strategic directions, show how it has achieved certain objectives, and the right kind of support from stakeholders, ultimately strengthening its strategic positioning and enhancing overall performance.
Use of Data in Making Healthcare Decisions
One of the ways through which data is utilized in the delivery of health care services is using electronic health records (EHRs) to prevent medical errors. For example, Syrowatka et al. 2023 recognized that utilizing EHR data to detect potential adverse drug interaction events decreased medication risks (Syrowatka et al., 2023). The EHR system can alert providers of possible issues if they add a new medication using the patient’s data, including medications taken, potential allergies, and current laboratory results. Besides, this analytical approach supports the optimal trend regarding patient safety admitted in clinical facilities since no chance of drug interactions with other substances is allowed. Therefore, the experience of this study confirms the importance of adequate data implementation for solving the decision-making activities entailing the healthcare improvement activities to gain better patient outcomes and more efficient performance.
Conclusion
In conclusion, it is necessary to appropriately apply quality data in healthcare as one of the significant ways of decision-making for strategic advancement. Apart from patient safety and clinical environment enhancement embraced by the reduction of medication incidents caused by EHRs, data utilization serves compliance with the regulatory body requirement and helps create trust among the stakeholders. Therefore, by implementing such elements as distinct data treatment and proper data sharing in healthcare organizations, it is feasible to develop the points of view of healthcare organizations’ strategic roles, stress the continuous improvement of organizational outcomes, and achieve high organizational performance outcomes.
References
Perucci, F., & Swanson, E. (2024). Building trust and facilitating the use of data. Statistical Journal of the IAOS, 40(1), 71–79. https://doi.org/10.3233/SJI-240006
Syrowatka, A., Motala, A., Lawson, E., & Shekelle, P. (2023). Computerized Clinical Decision Support To Prevent Medication Errors and Adverse Drug Events: Rapid Review. PubMed; Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK600580/
ORDER A PLAGIARISM-FREE PAPER HERE
We’ll write everything from scratch
Question 
You have addressed quality improvement and the role of leadership and collaboration in the first two trainings. Now, you want to look at the data. Quality data are critical because they reveal vital information about an organization’s past, present, and future performance. Examining such data would help the hospital’s strategic positioning.
Leveraging Data in Healthcare – Assessing Its Role in Communication and Decision-Making
For this assignment, address the following:
- Assess the relevance of data in addressing and communicating health information among stakeholders.
- Justify the use of data in making healthcare decisions by citing a specific example.