Discussion: Big Data Risks and Rewards
Dialogue: Huge Information Dangers and Rewards If you wake within the morning, chances are you'll attain on your cellphone to answer to a couple textual content or e-mail messages that you simply missed in a single day. In your drive to work, chances are you'll cease to refuel your automotive. Upon your arrival, you would possibly swipe a key card on the door to achieve entrance to the power. And earlier than lastly reaching your workstation, chances are you'll cease by the cafeteria to buy a espresso. From the second you wake, you might be actually a data-generation machine. Every use of your cellphone, each transaction you make utilizing a debit or bank card, even your entrance to your administrative center, creates knowledge. It begs the query: How a lot knowledge do you generate every day? Many research have been carried out on this, and the numbers are staggering: Estimates recommend that almost 1 million bytes of knowledge are generated each second for each particular person on earth. As the amount of knowledge will increase, data professionals have appeared for tactics to make use of large knowledge—giant, complicated units of knowledge that require specialised approaches to make use of successfully. Huge knowledge has the potential for vital rewards—and vital dangers—to healthcare. On this Dialogue, you'll take into account these dangers and rewards. To Put together: • Overview the Assets and replicate on the internet article Huge Information Means Huge Potential, Challenges for Nurse Execs. • Replicate by yourself expertise with complicated well being data entry and administration and take into account potential challenges and dangers you will have skilled or noticed. By Day three of Week 5 Put up an outline of not less than one potential advantage of utilizing large knowledge as a part of a medical system and clarify why. Then, describe not less than one potential problem or danger of utilizing large knowledge as a part of a medical system and clarify why. Suggest not less than one technique you might have skilled, noticed, or researched which will successfully mitigate the challenges or dangers of utilizing large knowledge you described. Be particular and supply examples. Rubric Element Choose Grid View or Listing View to vary the rubric's structure. Title: NURS_5051_Module03_Week05_Discussion_Rubric • Grid View • Listing View Wonderful Good Truthful Poor Primary Posting 45 (45%) - 50 (50%) Solutions all elements of the dialogue query(s) expectations with reflective vital evaluation and synthesis of data gained from the course readings for the module and present credible sources. Supported by not less than three present, credible sources. Written clearly and concisely with no grammatical or spelling errors and totally adheres to present APA guide writing guidelines and elegance. 40 (40%) - 44 (44%) Responds to the dialogue query(s) and is reflective with vital evaluation and synthesis of data gained from the course readings for the module. No less than 75% of put up has distinctive depth and breadth. Supported by not less than three credible sources. Written clearly and concisely with one or no grammatical or spelling errors and totally adheres to present APA guide writing guidelines and elegance. 35 (35%) - 39 (39%) Responds to a number of the dialogue query(s). One or two standards will not be addressed or are superficially addressed. Is considerably missing reflection and significant evaluation and synthesis. Considerably represents data gained from the course readings for the module. Put up is cited with two credible sources. Written considerably concisely; could include greater than two spelling or grammatical errors. Incorporates some APA formatting errors. zero (zero%) - 34 (34%) Doesn't reply to the dialogue query(s) adequately. Lacks depth or superficially addresses standards. Lacks reflection and significant evaluation and synthesis. Doesn't characterize data gained from the course readings for the module. Incorporates just one or no credible sources. Not written clearly or concisely. Incorporates greater than two spelling or grammatical errors. Doesn't adhere to present APA guide writing guidelines and elegance. Primary Put up: Timeliness 10 (10%) - 10 (10%) Posts essential put up by day three. zero (zero%) - zero (zero%) zero (zero%) - zero (zero%) zero (zero%) - zero (zero%) Doesn't put up by day three. First Response 17 (17%) - 18 (18%) Response reveals synthesis, vital pondering, and software to apply settings. Responds totally to questions posed by college. Gives clear, concise opinions and concepts which might be supported by not less than two scholarly sources. Demonstrates synthesis and understanding of studying aims. Communication is skilled and respectful to colleagues. Responses to college questions are totally answered, if posed. Response is successfully written in commonplace, edited English. 15 (15%) - 16 (16%) Response reveals vital pondering and software to apply settings. Communication is skilled and respectful to colleagues. Responses to college questions are answered, if posed. Gives clear, concise opinions and concepts which might be supported by two or extra credible sources. Response is successfully written in commonplace, edited English. 13 (13%) - 14 (14%) Response is on matter and should have some depth. Responses posted within the dialogue could lack efficient skilled communication. Responses to college questions are considerably answered, if posed. Response could lack clear, concise opinions and concepts, and some or no credible sources are cited. zero (zero%) - 12 (12%) Response is probably not on matter and lacks depth. Responses posted within the dialogue lack efficient skilled communication. Responses to college questions are lacking. No credible sources are cited. Second Response 16 (16%) - 17 (17%) Response reveals synthesis, vital pondering, and software to apply settings. Responds totally to questions posed by college. Gives clear, concise opinions and concepts which might be supported by not less than two scholarly sources. Demonstrates synthesis and understanding of studying aims. Communication is skilled and respectful to colleagues. Responses to college questions are totally answered, if posed. Response is successfully written in commonplace, edited English. 14 (14%) - 15 (15%) Response reveals vital pondering and software to apply settings. Communication is skilled and respectful to colleagues. Responses to college questions are answered, if posed. Gives clear, concise opinions and concepts which might be supported by two or extra credible sources. Response is successfully written in commonplace, edited English. 12 (12%) - 13 (13%) Response is on matter and should have some depth. Responses posted within the dialogue could lack efficient skilled communication. Responses to college questions are considerably answered, if posed. Response could lack clear, concise opinions and concepts, and some or no credible sources are cited. zero (zero%) - 11 (11%) Response is probably not on matter and lacks depth. Responses posted within the dialogue lack efficient skilled communication. Responses to college questions are lacking. No credible sources are cited. Participation 5 (5%) - 5 (5%) Meets necessities for participation by posting on three completely different days. zero (zero%) - zero (zero%) zero (zero%) - zero (zero%) zero (zero%) - zero (zero%) Doesn't meet necessities for participation by posting on three completely different days. Complete Factors: 100 Title: NURS_5051_Module03_Week05_Discussion_Rubric ====
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Huge Information Dangers and Rewards Scholar’s Title Institutional Affiliation Course Professor’s Title Date Huge Information Dangers and Rewards With the speedy tempo of change and complexity in well being care, now amplified by the pandemic, the caregivers want assist. That's, they want well timed, insight-driven, and evidence-based knowledge to foster fast determination making in any respect factors of care. Environment friendly large knowledge administration, evaluation, and interpretation can change the sport and open new avenues for contemporary well being care by offering superior affected person care (Murdoch & Detsky, 2013). As an example, knowledge collected from a primary AI-enabled early warning affected person monitoring methods, cell connectivity, medical determination assist algorithm will be analyzed to assist well being care methods establish the affected person's wants sooner and reply quicker (Bates, Saria, Ohno-Machado, Shah & Escobar, 2014). It has been recognized that the usage of early warning methods resulted in a discount of 35% in extreme instances of cardiac arrest(Bates et al., 2014). Information standardization is without doubt one of the challenges going through Huge Information in well being. That's, knowledge is saved in a fashion that isn't interoperable with all functions and applied sciences. As knowledge isn't standardized, restricted interrogability poses a giant problem. This leaves large knowledge to face points associated to buying and cleansing knowledge into an ordinary format for evaluation and international sharing of knowledge (Kruse, Goswamy, Raval & Marawi, 2016). Huge knowledge should take care of completely different terminologies, demographic knowledge, requirements, and even language boundaries with the shift to knowledge globalization. As an example, the affected person's incorrect or incomplete demographic knowledge will be very detrimental to affected person matching and identification. This may create the chance of suppliers to affiliate two completely different sufferers with the identical file mistakenly. Scientific managers ought to work collectively to re-engineer and standardize the Grasp Affected person Index(MPI) file. This may be carried out by creating an in depth organization-wide knowledge cleansing strategy of the MPI, particularly on areas duplicating affected person file discrepancies on account of default or clean entries (Randall, Ferrante, Boyd & Semmens, 2013). This improves the standard of knowledge. That's, an environment friendly data-driven medical determination assist. References Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Huge knowledge in well being care: utilizing analytics to establish and handle high-risk and high-cost sufferers. Well being Affairs, 33(7), 1123-1131. Kruse, C. S., Goswamy, R., Raval, Y. J., & Marawi, S. (2016). Challenges and alternatives of massive knowledge in well being care: a scientific overview. JMIR medical informatics, four(four), e38. Murdoch, T. B., & Detsky, A. S. (2013). The inevitable software of massive knowledge to well being care. Jama, 309(13), 1351-1352. Randall, S. M., Ferrante, A. M., Boyd, J. H., & Semmens, J. B. (2013). The impact of knowledge cleansing on file linkage high quality. BMC medical informatics and determination making, 13(1), 64. Rn, Jennifer Thew. “Huge Information Means Huge Potential, Challenges for Nurse Execs.” BIG DATA MEANS BIG POTENTIAL, CHALLENGES FOR NURSE EXECS, 2016, www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs.