1. Data Analytics. 2. New and Emerging Technologies for Patient Care

Instructions:
Please address the 2 questions below “separately”
2 pages each with at least 2 references (each). References must be within 5 yrs (2015-2021)
Note: Question 2 requests to pick and write on only ONE of the listed technologies 

Question 1.   Data Analytics
View the following activity to address the discussion scenario.
Consider the scenario above to address the following.

Do you recommend that the data analyst examine aggregate data, detailed data, or both, to investigate this quality issue? Please explain your rationale.
Do you recommend that the data analyst use a retrospective data warehouse, clinical data store, or both, to investigate the mortality rate? Please explain your rationale.
What type of tools or analytic approaches is relevant for use by this analyst? Please explain your rationale.

Now, conduct a search for evidence. Select three scholarly sources of information describing the challenges of utilizing data in the clinical setting.

Provide a brief overview of the findings of each source of evidence.

Supplemental reading:
McBride, S., & Tietze, M. (2018). informatics for the advanced practice nurse: Patient safety, quality, outcomes, and interprofessionalism. (2nd ed.). Springer Publishing.

Chapter 18: Data Management and Analytics: The Foundations for Improvement (p. 425-452)
Chapter 27: Big Data and Advanced Analytics (p. 653-680)

Articles:
Delaney, C. W., & Weaver, C. (2018). 2018 nursing knowledge big data science initiative. CIN: Computers, Informatics, , 36(10), 473-474. https://doi.org/10.1097/CIN.0000000000000486    
Hewner, S., Sullivan, S. S., & Yu, G. (2018). Reducing emergency room visits and in‐hospitalizations by implementing best practice for transitional care using innovative technology and big data. Worldviews on Evidence‐Based , 15(3), 170-177. https://doi.org/10.1111/wvn.12286 
Linnen, D. (2016). The promise of big data: Improving patient safety and nursing practice. 2018, 46(5), 28-34. https://doi.org/10.1097/01.NURSE.0000482860.31028.8f 

Question 2.  New and Emerging Technologies for Patient Care
Review the various technology tools described in this week’s Learning Resources.
·  Pick ONE of the technologies listed below or choose one on Genomics or Nanotechnology. Reflect on how they are used and how its use impacts the quality of care. Consider cost and reimbursement.
·  Consider how your identified technology tools might impact nursing practice if it were more widely used. What are some barriers preventing increased usage? How could wider implementation be facilitated?
New and Emerging Technologies for Patient Care:
 Aging in place technologies
 Artificial pancreas and Wearable artificial kidney
Biometric clothing
 Cognitive computing for healthcare
Disinfecting robots
Exoskeleton for spinal cord injuries
 Fall prevention technologies
 Magnetic Bracelet for Fecal Continence Control
Mobile stroke treatment units
New anti-obesity devices
Noninvasive, wireless monitoring system for people with diabetes
Robotics — patient care (RIBA and HAL)
Symptom Tracker for Patients with Asthma or COPD
Transcranial magnetic stimulation (TMS)

Supplemental reading:
McBride, S., & Tietze, M. (2018). informatics for the advanced practice nurse: Patient safety, quality, outcomes, and interprofessionalism. (2nd ed.). Springer Publishing.

Chapter 25: Genomics and Implications for Health Information (p. 611-637)
Chapter 26: Nanotechnology, Nanorobotics, and implications for Healthcare Interprofessional Teams. (p. 639 – 650)

Articles:
Baird, P. (2017). The future of healthcare: Everywhereables, huge data, and a pinch of dystopia. Biomedical Instrumentation & Technology, 51(3), 193.
Casselman, J., Onopa, N., & Khansa, L. (2017). Wearable healthcare: Lessons from the past and a peek into the future. Telematics and Informatics, 34(7), 1011-1023. https://doi.org/10.1016/j.tele.2017.04.011
Majumder, S., Aghayi, E., Noferesti, M., Memarzadeh-Tehran, H., Mondal, T., Pang, Z., & Deen, M. (2017). Smart homes for elderly healthcare—Recent advances and research challenges. Sensors, 17(11), 2496. https://doi.org/ 10.3390/s17112496