2022
Hubner, S., Blaskewicz Boron, J., & Fruhling, A. (2022). Use of Assistive and Interactive Technology and Relation to Quality of Life in Aging Adults. In Proceedings of the Hawai’i International Conference on System Sciences Annual Meeting (2022). http://hdl.handle.net/10125/79845
Manley, N. A., Boron, J. B., Shade, M. Y., Jain, I., Kim, J., Chirackal, R. S., Byers, M. L., Bishop, K. I., Ashraf, M. S., Tyner, L. K., Stream, S. E., & Potter, J. F. (2022). A Robotic Device to Enhance Nursing Home Provider Telepresence During and After the COVID-19 Pandemic. Journal of the American Medical Directors Association, 23(2), 311–314.e2. https://doi.org/10.1016/j.jamda.2021.11.013
2021
Carpenter, M. L., Blaskewicz Boron, J., Beadle, J., & Potter, J. F. (2021). Understanding Influential Factors in Turnover Within the Home Care Workforce. Home Health Care Management & Practice, 33(3), 147–153. https://doi.org/10.1177/1084822320981012
Clarke, M. A., Fruhling, A. L., Lyden, E. L., Tarrell, A. E., Bernard, T. L., & Windle, J. R. (2021). The Role of Computer Skills in Personal Health Record Adoption Among Patients With Heart Disease: Multidimensional Evaluation of Users Versus Nonusers. JMIR human factors, 8(3), e19191. https://doi.org/10.2196/19191
Clarke, M. A., Lyden, E. R., Ma, J., King, K. M., Siahpush, M. M., Michaud, T., Idoate, R. E., & Ramos, A. K. (2021). Sociodemographic Differences and Factors Affecting Patient Portal Utilization. Journal of racial and ethnic health disparities, 8(4), 879–891. https://doi.org/10.1007/s40615-020-00846-z
Clarke, M. A., Qureshi, S., Barone, T., & Windle, J. R. (2021). Sustainable Development Through a Mobile Application for a Community Clinic. ArXiv:2108.09776 [cs.CY]. http://arxiv.org/abs/2108.09776
Gifford, A., Marmelat, V., & Beadle, J. N. (2021). A Narrative Review Examining the Utility of Interpersonal Synchrony for the Caregiver-Care Recipient Relationship in Alzheimer's Disease and Related Dementias. Frontiers in psychology, 12, 595816. https://doi.org/10.3389/fpsyg.2021.595816
Jones, V. K., Hanus, M., Yan, C., Shade, M. Y., Blaskewicz Boron, J., & Maschieri Bicudo, R. (2021). Reducing Loneliness Among Aging Adults: The Roles of Personal Voice Assistants and Anthropomorphic Interactions. Frontiers in public health, 9, 750736. https://doi.org/10.3389/fpubh.2021.750736
Windle, J. R., Windle, T. A., Shamavu, K. Y., Nelson, Q. M., Clarke, M. A., Fruhling, A. L., & Tcheng, J. E. (2021). Roadmap to a more useful and usable electronic health record. Cardiovascular digital health journal, 2(6), 301–311. https://doi.org/10.1016/j.cvdhj.2021.09.007
Thapa, I., & Ali, H. (2021). A Multiomics Graph Database System for Biological Data Integration and Cancer Informatics. Journal of computational biology : a journal of computational molecular cell biology, 28(2), 209–219. https://doi.org/10.1089/cmb.2020.0231
2020
Clarke, M. A., Fruhling, A. L., Sitorius, M., Windle, T. A., Bernard, T. L., & Windle, J. R. (2020). Impact of Age on Patients' Communication and Technology Preferences in the Era of Meaningful Use: Mixed Methods Study. Journal of medical Internet research, 22(6), e13470. https://doi.org/10.2196/13470
Clarke, M. A., Schuetzler, R. M., Windle, J. R., Pachunka, E., & Fruhling, A. (2020). Usability and cognitive load in the design of a personal health record. Health Policy and Technology, 9(2), 218-224. https://www.doi.org/10.1016/j.hlpt.2019.10.002
Ferguson, C., Shade, M. Y., Blaskewicz Boron, J., Lyden, E., & Manley, N. A. (2020). Virtual Reality for Therapeutic Recreation in Dementia Hospice Care: A Feasibility Study. The American journal of hospice & palliative care, 37(10), 809–815. https://doi.org/10.1177/1049909120901525
Fruhling, A., Hall, M., Medcalf, S., & Yoder, A. (2020). Designing a Real-Time Integrated First Responder Health and Environmental Monitoring Dashboard. In Designing for Digital Transformation. Co-Creating Services with Citizens and Industry: 15th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2020, Kristiansand, Norway, December 2–4, 2020, Proceedings, 28–34. https://doi.org/10.1007/978-3-030-64823-7_3
Fuglestad, M. A., Hernandez, H., Gao, Y., Ybay, H., Schieber, M. N., Brunette, K. E., Myers, S. A., Casale, G. P., & Pipinos, I. I. (2020). A low-cost, wireless near-infrared spectroscopy device detects the presence of lower extremity atherosclerosis as measured by computed tomographic angiography and characterizes walking impairment in peripheral artery disease. Journal of vascular surgery, 71(3), 946–957. https://doi.org/10.1016/j.jvs.2019.04.493
Kondylakis, H., Axenie, C., Bastola, D. K., Katehakis, D. G., Kouroubali, A., Kurz, D., ... & Zwiggelaar, R. (2020). Status and recommendations of technological and data-driven innovations in cancer care: Focus group study. Journal of medical Internet research, 22(12), e22034. https://www.doi.org/10.2196/22034
Michaud, T. L., Siahpush, M., King, K. M., Ramos, A. K., Robbins, R. E., Schwab, R. J., Clarke, M. A., & Su, D. (2020). Program completion and glycemic control in a remote patient monitoring program for diabetes management: Does gender matter?. Diabetes research and clinical practice, 159, 107944. https://doi.org/10.1016/j.diabres.2019.107944
Rastegari, E., & Ali, H. (2020). A bag-of-words feature engineering approach for assessing health conditions using accelerometer data. Smart Health, 16, 100116. https://doi.org/10.1016/j.smhl.2020.100116
Rastegari, E., Orn, D., & Ali, H. (2020). Smart Computational Approaches with Advanced Feature Selection Algorithms for Optimizing the Classification of Mobility Data in Health Informatics. In Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, 1–9. https://doi.org/10.1145/3388440.3412426
2019
Beadle, J. N. (2019). Leveraging the power of networks to support healthy aging. J Gerontol B Psychol Sci Soc Sci, 74(8), 1295–1297. https://www.doi.org/10.1093/geronb/gbz101
Chetti, P., & Ali, H. (2019). Analyzing the Structural Health of Civil Infrastructures Using Correlation networks and Population Analysis. In Proceedings of the Eighth International Conference on Data Analytics, Porto, Portugal.
Fruhling, A., Bartelt-Hunt, S. L., & Kolok, A. (2019). Evaluating Citizen Scientists’ User Experience and Engagement Using a Mobile Watershed Data Management App. HCI International 2019 – Late Breaking Papers, 541–554. https://doi.org/10.1007/978-3-030-30033-3_42
Rastegari, E., Azizian, S., & Ali, H. (2019, January). Machine learning and similarity network approaches to support automatic classification of parkinson’s diseases using accelerometer-based gait analysis. In Proceedings of the 52nd Hawaii International Conference on System Sciences. http://hdl.handle.net/10125/59861
Shade, M., Boron, J., Manley, N., Kupzyk, K., & Pullen, C. (2019). Ease of Use and Usefulness of Medication Reminder Apps among Rural Aging Adults. Journal of community health nursing, 36(3), 105–114. https://doi.org/10.1080/07370016.2019.1630960