Big data will be an increasing global specialty and become part of research and development moving into the future across industries, including that of healthcare. On the technology front big data capture will be the norm as automation increases, where the use of big data to aid artificial intelligence development and understanding will become part of everyday working practice. The learning potential of artificial intelligence will likely render the human obsolete in certain situations.
- Internet and Websites: cookies and internet bots allow tracking of your activities. Notice the types of adverts that come up on the screen? They are targeted towards particular themes around the information you provide on your online activity.
- Supermarkets: use a reward card? likelihood is you now receive marketing on a personalised level with an understanding of the products you do or will buy in the future. Marketing is advanced with data and analytics so follow trends on how to find a personalised approach to using data.
- Higher education: analytics from the learning management system (LMS) from week 1 of your course, you can track hits on pages, resources, attempts at quizzes. All ready information to provide an effective summary for the educator on the whole course, or even to check levels of engagement on specific resources. Just remember a smart student may login, click on a few pages and then appear to be engaged. Beating the system is part of human nature.
- Big data & health analytics. Imagine if there was a source for all health records to enable analysis of illness, intervention and efficacy and provide research results on a massive global scale. Look at your health system, does your GP record link to the hospital record for easy access in an emergency, probably not. This is a massive potential IT project and a difficult challenge (take a look at the now discontinued Google Health system).
- Artificial intelligence and healthcare. See this great post from Dr. Berci on how artificial intelligence will redesign healthcare.
Learning Analytics & Education
The NMC Horizon Report (2013) “identifies learning analytics as a key technology for the higher education sector which has an expected time-to-adoption horizon or two to three years. Learning analytics, in many ways, is “big data,” applied to education. The term owes its beginnings to data mining efforts in the commercial sector that used analysis of consumer activities to identify consumer trends.”
- Analytics from learning management system (LMS).
- student level
- course level
- college level
- national level
- Student retention.
- Digital employee.
- Plagiarism systems to check assignments. Easily bypassed if you pay someone to write an original paper, there are companies who provide such services!
Process for Analytics
- Learning analytics.
- Systematic response – Artificial Intelligence and decision-making programs.
- Personal Learning Network- global citizen.
Big Data Health Publications
- World Health Lung Study
- International Collaboration into Mechanical Ventilation by Esteban et al. (2002).
- ANZICS adult patient database review of sepsis over a 12 year period by Kaukonen et al. (2014)
Esteban A, Anzueto A, Frutos F, Alía I, Brochard L, Stewart TE, Benito S, Epstein SK, Apezteguía C, Nightingale P, Arroliga AC, Tobin MJ, for the Mechanical Ventilation International Study Group. (2002) Characteristics and Outcomes in Adult Patients Receiving Mechanical VentilationA 28-Day International Study. JAMA. 287(3):345-355. doi:10.1001/jama.287.3.345
Kaukonen, K. M., Bailey, M., Suzuki, S., Pilcher, D., & Bellomo, R. (2014). Mortality related to severe sepsis and septic shock among critically ill patients in Australia and New Zealand, 2000-2012. Jama, 311(13), 1308-1316.
LACE Project (2017). Retrieved from http://www.laceproject.eu/faqs/learning-analytics/
Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt.
NMC Horizon Report (2013) Higher Education Edition. Retrieved from https://eric.ed.gov/?id=ED559358
Wikipedia (2017) Big Data.Retrieved from http://en.wikipedia.org/wiki/Big_data