Medical and Health/Upstream Determinants of Health Informatics

The field of healthcare administration is concerned with better patient care and healthcare delivery. The RUCI Lab is interested in using emerging technologies and novel sources of data for analytics to improve upstream determinants of health such as transportation and air quality, as well as quality of care. Some of the work relates to using more robust approach to medical systems and electronic patient records. For example, the paper “Access to Personal Health Records and Screening for Breast and Cervical Cancer Among Women with a Family History of Cancer” shows significant and positive association between access to personal health records and the receipt of a mammogram in women with family history of cancer. Other RUCI Lab work looks at mobile health apps and wearable technology. For instance, the paper “Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions” looks at the use of patient empowerment tools, such as mobile health (mHealth) technology, and the extent to which such use has health benefits.

Wearable technology is a significant new development in looking at upstream determinants of health such as active travel and social lives of people. The paper “Multi-sensor movement analysis for transport safety and health applications” looks at wearable tech and being able to detect, for example, rapid body movements and agitated and disturbance levels in different road settings and the potential to identify where distracted driving and walking can occur. In the paper on “Integrated Multimedia City Data”, we use machine learning models on personal image data collected every 7 seconds by lifelogging cameras to construct a “social isolation” index and find that people in certain types of jobs live a large part of their lives in solitary conditions.

  • Thakuriah, P., K. Sila-Nowicka, J. Hong, C. Boididou, M. Osborne, C. Lido, A. McHugh (2020). Integrated Multimedia City Data (iMCD): A Composite Survey and Sensing Approach to Understanding Urban Living and Mobility. In Computers, Environment and Urban Systems. Vol. 80. Early online: https://doi.org/10.1016/j.compenvurbsys.2019.101427 
  • Mahmood A, Wyant DK, Kedia S, Ahn S, Powell MP, Jiang Y, Bhuyan SS. Self-Check-In Kiosks Utilization and Their Association with Wait Times in Emergency Departments in the United States. The Journal of Emergency Medicine. 2020 Jan 7.
  • Mahmood A, Kedia S, Wyant DK, Ahn S, Bhuyan SS. Use of mobile health applications for health-promoting behavior among individuals with chronic medical conditions. Digital health. 2019 Oct; 5:2055207619882181.
  • Kim H, Mahmood A, Carlton E, Goldsmith J, Chang C, Bhuyan S. Access to Personal Health Records and Screening for Breast and Cervical Cancer Among Women with a Family History of Cancer. Journal of Cancer Education. 2019 Jul 1:1-7.
  • Sila-Nowicka, K. and P. Thakuriah (2019). Multi-sensor movement analysis for transport safety and health applications. In PLoSONE 14(1):e0210090.
  • Mahmood A, Mosalpuria K, Wyant DK, Bhuyan SS. Association between having a regular health provider and access to services linked to electronic health records. Hospital topics. 2019 Jan 2;97(1):1-0.
  • Kim H, Goldsmith JV, Sengupta S, Mahmood A, Powell MP, Bhatt J, Chang CF, Bhuyan SS. Mobile health application and e-health literacy: opportunities and concerns for cancer patients and caregivers. Journal of Cancer Education. 2019 Feb 1;34(1):3-8.