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Pages:
2 pages/β‰ˆ550 words
Sources:
2 Sources
Style:
APA
Subject:
Health, Medicine, Nursing
Type:
Essay
Language:
English (U.S.)
Document:
MS Word
Date:
Total cost:
$ 8.64
Topic:

My Experience with Complex Health Information Access and Management

Essay Instructions:

Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed.
Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples.

Essay Sample Content Preview:

Practices
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Practices
Big data has significantly changed how healthcare organizations evaluate and control complex data to improve patient outcomes and reduce healthcare cost. Its benefits lie in its ability to drive critical decision-making processes and turn complex data into actionable knowledge for precision medicine (Alexandru et al., 2018). In most situations, big data application in healthcare industry offers solutions for patient care development and value generation. However, this approach requires collaboration of all relevant stakeholders. They must create the technological infrastructure to house the large quantity of data (Pastorino, et al., 2019). Despite the many advantages of big data in healthcare industry, this technological advancement can be used if healthcare professionals address the security and privacy issues.
One of the benefits of big data is reduction as part of a clinical system is the prevention of medical errors that lead to more accurate diagnoses and treatment. Big data analytics are great tools for healthcare providers who handle many patients daily (Alexandruet al., 2018). Studies show that physicians and professionals are bound to make some clinical errors like prescribing wrong medicine prescribing a different medication during medical practices that tend to put the lives of the patients on line (Pastorino, et al., 2019).
However, big data can prevent such errors from happening because it analyzes each patient’s healthcare records, prescribed medication and any other concerns, such as medical history, allergies, and other relevant information (Alexandruet al., 2018). After scanning all records, healthcare professionals can use data analyzing software to identify missing information. An example of a big data software platform is MedAware formed in 2012 by Gidi Stein and his colleagues. This platform connects a healthcare organization’s electronic health-record (EHR) system to discover treatment errors before occurrin...
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