Goal: Identify students interested in Family Medicine to help target limited resources for their support
Research Question: Could artificial intelligence help identify students interested in or suited for Family Medicine?
Selected works from University of Cincinnati dissertations, Programmschriften, and pamphlets in classical studies, held in the John Miller Burnam Classical Library.
This collection represents the presentations given on April 1, 2019 as part of the 4th annual UC Data Day that took place in the Tangeman University Center at the University of Cincinnati.
The collection contains all the presentations as power points if available or pdfs. However, access for some may be restricted to users with a UC 6+2 only.
Videos of the all presentations can be found on the STRC youtube channel at -
https://www.youtube.com/watch?v=cOl-ITkX1VQ – morning events
https://www.youtube.com/watch?v=I3f9vYaZfwE – afternoon events
The schedule for the day was:
Time
9:00 – 9:30 Opening Remarks - Great Hall TUC 465
9:30 – 10:30 Keynote: The NIH All of Us Research Program: Supporting Data-Powered Health for Researchers, Participants, and Communities Amanda Wilson
10:30 – 10:45 Break
10:45 – 12:15 Panel Session Health Equities/Disparities - Great Hall TUC 465
Panelists:
Reem Aly
Stef Murawsky
Dr. Sarah Pickle
Tammy Mentzel
12:15 – 1:30 Lunch Service Providers available for one-one discussion - Great Hall TUC 465
1:30 – 3:00 Panel Session Data Empowering Social Justice - Great Hall TUC 465
Panelists:
Theresa Culley
Brian Howe
Christopher Sullivan
Concurrent Power Session – TUC 400 B/C
Interactive mapping of social vulnerability caused by climate change using R
Facilitators:
Richard Johansen
Mark Chalmers
3:00 – 3:15 Break
3:15 – 4:15 Keynote: Big Data For or Against Health Disparities Deborah Duran Great Hall TUC 465
4:15 – 4:30 Closing Remarks Great Hall TUC 465
More information can be found at the event website - http://libapps.libraries.uc.edu/blogs/dataday/
Trinity Tobe designed an inclusive playscape for the Boone County Arboretum that is accessible for a range of mobility devices and different mental capabilities.
ABSTRACT
Purpose: Tongue manometry (i.e. tongue pressure measurement) is a commonly used assessment for patients with suspected oral-motor involvement in swallowing disorders. Availability of lingual manometry has changed in recent years, with the introduction of the TongueometerTM device being a more affordable tongue manometry system. The purpose of this study was to test concurrent (criterion) validity of the TongueometerTM compared to the current standard reference device, the Iowa Oral Performance Instrument, IOPI®.
Method: Adults without dysphagia were recruited for participation in this study. Standard lingual measurements (swallowing-related pressures, maximum isometric pressure (MIP), and maximum isometric endurance) were recorded, with the bulb anteriorly placed, with both devices, in a randomized order. The Bland-Altman method was used to determine concurrent (criterion) validity of these measurements compared to the clinical standard IOPI® device. A recently available suggested corrective value by Curtis and colleagues (2023) was also applied, with comparisons made between devices both with and without the Curtis correction.
Results: The final sample included 70 adult participants aged 20-89 years (average age 52.3 years). Measures with the TongueometerTM device were significantly lower when compared with the same measures taken using the IOPI® (p<0.01) for all measures including MIP, endurance, and swallow pressures. The correction suggested by Curtis and colleagues did not ameliorate these differences.
Conclusions: The TongueometerTM lingual measurements were consistently lower compared to the IOPI®. Clinical use of values taken with the TongueometerTM device should be compared to normative data published for each specific device. Available features of each device (e.g. display, bulb texture, technology/application) should be considered when selecting which device to use with an individual patient.