Discussion: Big Data Risks and Rewards NURS 6051
Discussion: Big Data Risks and Rewards NURS 6051
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When you wake up in the morning, you may reach for your cell phone to respond to a few missed text or email messages. You may need to stop on your way to work to refuel your car. You may be required to swipe a key card at the door upon your arrival to gain access to the facility. Finally, before proceeding to your workstation, you may wish to purchase a cup of coffee from the cafeteria.
From the moment you wake, you are in fact a data-generation machine. Each use of your phone, every transaction you make using a debit or credit card, even your
Discussion Big Data Risks and Rewards NURS 6051
entrance to your place of work, creates data. It begs the question: How much data do you generate each day? Many studies have been conducted on this, and the numbers are staggering: Estimates suggest that nearly 1 million bytes of data are generated every second for every person on earth.
As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards.
To Prepare:https://customnursingwriting.com/discussion-big-data-risks-and-rewards-nurs-6051/
Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs.
Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed.
By Day 3 of Week 5
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.
By Day 6 of Week 5
Two days apart, provide at least two of your coworkers with further mitigation techniques or insight into their view of the opportunities and hazards associated with big data.
Please be aware that your classmates will be referred to as “colleagues” throughout this course.
Discussion – Collapse of Week 5
Introduction
Using big data in healthcare allows people to have a greater say in their own treatment and care decisions. As stated in the HITECH Act of 2009, this is a stated goal (Glassman, 2017). Creating a HIPAA-compliant and user-friendly interface to collect information from patients is one of the problems of this. Epic software is used in my hospital’s electronic health record system (EHR). As a whole, we have an 844-bed level-1 trauma hospital, which includes a children’s hospital and a number of outpatient acute care hospitals, in addition to various surgical centers and an 89-bed inpatient psychiatric facility offering partial hospitalization and intense outpatient programs. Every day, these hospitals treat hundreds, if not thousands, of patients. The amount of data created as a result of these meetings is virtually incomprehensible. Another important problem is capturing this data so that it can be examined in useful ways. EHR documentation contributors in healthcare settings, according to Glassman (2017), are nurses since they enter the most patient data into the EHR. Direct EHR input from the patient, in my opinion, should be just as significant. It is an ethical requirement to take into account patient preferences, culture, and values when including patients in their own care and allowing them to make their own healthcare decisions (McCormack & Elwyn, 2018). With the help of big data, the EHR may be directly communicated with via an app-based interface. My Chart is the tool of choice in this situation at my hospital.
MyChart
In order to create a safe, HIPAA-compliant interface that is user-friendly, My Chart has surmounted the obstacle. Epic Systems Corporation has developed a mobile app called MyChart. A mobile or desktop computer can access MyChart, which is secure, handy, and accessible at any time (MyChart, 2020). Using MyChart, users can add data to their own electronic health record. MyChart can also be used to prompt patients to provide additional information. An email notice or an app notification can be delivered to the patient to notify them of things like test results, appointment reminders, and other important information. This is something that the patient has control over.
Direct EHR data input is also possible with MyChart, which includes personal preferences like native language, prescription refill requests and appointment scheduling. The patient’s involvement in their own healthcare can have a positive impact on the patient’s outcomes. As an example, if the patient’s first language is not English, then translation services may be necessary in order to ensure that the healthcare team is aware of the patient’s grasp of the informed consent process.
MyChart’s use in patient communication and care coordination allows my company to make better use of the massive amounts of data it collects. Without the need for a face-to-face appointment, patients can access their medical records and contact directly with their providers. This efficiency enhances the software interface’s advantages.
Trying to Make Sense of All That Data
It has been a problem for my business to analyze and report on the vast amount of data that is stored in the EHR. An individual can become unwell if one of their body’s systems is disrupted, and an EHR with several interconnected systems can suffer the same fate (Thew, 2016). At my company, this is the case. When it comes to mental health information, the EHR interface is designed primarily to collect medical data, which makes it difficult and ineffective to collect narrative information. Daily notes require providers to type in a significant amount of narrative content. To make matters worse, they must sift through several narrative notes in order to discover relevant data, which is a time-consuming and ineffective process. It has come to our attention as a result of reviewing incident reports that critical information can be overlooked by providers, who then fail to include it in their notes for consecutive days. Essentially, the story loses information.
Recently, the business discovered that reporting and data analysis can be improved by capturing data discretely, such as by selecting flowsheet rows, or by selecting other selectable fields in the EHR. This is an on-going problem, and we’re doing everything we can to solve it. RN daily shift note templates have been studied and disassembled to provide separate data fields for which reports can be created. One example of this is group attendance.
In the psychiatric regions, there are weekly groups for both therapeutic and educational purposes. When a patient comes in, the RN can quickly select one of these group kinds by programming it into a quick-click field. Administrators can run reports based on this data if it is collected discretely. A report on group attendance, for example, can reveal which groups have the highest levels of attendance. After that, it will be possible to make decisions on which teams to keep, drop, or reschedule. An added benefit of this reporting capability is that it allows for staffing to be altered in accordance with group attendance.
Conclusion Efficient and discrete data capture will be critical in helping nursing leaders make sense of the massive volumes of patient care data generated today, as well as improving patient care, outcomes and staff satisfaction.
References
Glassman, K. S. (2017). Using data in nursing practice. American Nurse Today, 12(11), 45-47. Retrieved from https://www.myamericannurse.com/wp-content/uploads/2017/11/ant11-Data-1030.pdf
McCormack, J. & Elwyn, G. (2018). Shared decision is the only outcome that matters when it comes to evaluating evidence-based practice. BMJ Evidence-Based Medicine 23(4), 137-139. Retrieved from https://ebm.bmj.com/content/23/4/137.info
MyChart. (2020). Join over 100 million patients who manage their care with mychart. Retrieved from https://www.mychart.com/
Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execs. Health Leaders. https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs
Submission and Grading Information
Grading Criteria
To access your rubric:
Week 5 Discussion Rubric
Post by Day 3 and Respond by Day 6 of Week 5
To participate in this Discussion:
Week 5 Discussion
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Next Module
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Module
Module 4: Technologies Supporting Applied Practice and Optimal Patient Outcomes (Weeks 6-8)
Laureate Education (Producer). (2018). Informatics Tools and Technologies [Video file]. Baltimore, MD: Author.
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Learning Objectives
Students will:
Evaluate healthcare technology trends for data and information in nursing practice and healthcare delivery
Analyze challenges and risks inherent in healthcare technology
Analyze healthcare technology benefits and risks for data safety, legislation, and patient care
Evaluate healthcare technology impact on patient outcomes, efficiencies, and data management
Analyze research on the application of clinical systems to improve outcomes and efficiencies
Due By
Assignment
Week 6, Days 1–2
Read/Watch/Listen to the Learning Resources.
Compose your initial Discussion post.
Week 6, Day 3
Post your initial Discussion post.
Begin to compose your Assignment.
Week 6, Days 4-5
Review peer Discussion posts.
Compose your peer Discussion responses.
Continue to compose your Assignment.
Week 6, Day 6
Post at least two peer Discussion responses on two different days (and not the same day as the initial post).
Week 6, Day 7
Wrap up Discussion.
Week 7, Days 1-7
Continue to compose your Assignment.
Week 8, Days 1-6
Continue to compose your Assignment.
Week 8, Day 7
Deadline to submit your Assignment.
Learning Resources
Required Readings
McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.
Chapter 14, “The Electronic Health Record and Clinical Informatics” (pp. 267–287)
Chapter 15, “Informatics Tools to Promote Patient Safety and Quality Outcomes” (pp. 293–317)
Chapter 16, “Patient Engagement and Connected Health” (pp. 323–338)
Chapter 17, “Using Informatics to Promote Community/Population Health” (pp. 341–355)
Chapter 18, “Telenursing and Remote Access Telehealth” (pp. 359–388)
Dykes, P. C., Rozenblum, R., Dalal, A., Massaro, A., Chang, F., Clements, M., Collins, S. …Bates, D. W. (2017). Prospective evaluation of a multifaceted intervention to improve outcomes in intensive care: The Promoting Respect and Ongoing Safety Through Patient Engagement Communication and Technology Study. Critical Care Medicine, 45(8), e806–e813. doi:10.1097/CCM.0000000000002449
HealthIT.gov. (2018c). What is an electronic health record (EHR)? Retrieved from
https://www.healthit.gov/faq/what-electronic-health-record-ehr
Rao-Gupta, S., Kruger, D. Leak, L. D., Tieman, L. A., & Manworren, R. C. B. (2018). Leveraging interactive patient care technology to Improve pain management engagement. Pain Management Nursing, 19(3), 212–221.
Skiba, D. (2017). Evaluation tools to appraise social media and mobile applications. Informatics, 4(3), 32–40.
Required Media
Laureate Education (Producer). (2018). Public Health Informatics [Video file]. Baltimore, MD: Author.
Accessible player
Laureate Education (Producer). (2018). Electronic Records and Managing IT Change [Video file]. Baltimore, MD: Author.
Accessible player
Discussion Big Data Risks and Rewards NURS 6051 SAMPLE 1