It takes the average reader 3 hours and 1 minute to read Technology and Big Data in Rheumatology, An Issue of Rheumatic Disease Clinics of North America by Jeffrey Curtis
Assuming a reading speed of 250 words per minute. Learn more
Guest edited by Drs. Jeffrey Curtis, Kevin Winthrop and Kaleb Michaud, this issue of Rheumatic Disease Clinics will cover several key areas of interest related to Technology and Big Data in Rheumatology. This issue is one of four selected each year by our series Consulting Editor, Dr. Michael Weisman of Cedars-Sinai. Articles in this issue include, but are not limited to: Adherence & Adverse Event Ascertainment through mHealth; Digital Patient Education and Decision Aids; Imaging in the mobile domain; Quality Measures made easier with mHealth data; Patient self-management and tracking; Motivational Counseling and SMS Reminders; Digital Interventions to build community support; Telehealth to solve cases in under-resourced areas; Trials, eConsents, Data Linkage & the Future; Clinical experience with devices; and PROMIS vs legacy data instruments.
Technology and Big Data in Rheumatology, An Issue of Rheumatic Disease Clinics of North America by Jeffrey Curtis is 177 pages long, and a total of 45,489 words.
This makes it 60% the length of the average book. It also has 56% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 8 minutes to read Technology and Big Data in Rheumatology, An Issue of Rheumatic Disease Clinics of North America aloud.
Technology and Big Data in Rheumatology, An Issue of Rheumatic Disease Clinics of North America is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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