HTM310 v1

Adeghe, E.P.,Okolo, C.A., & Ojeyinka, O.T. (2024). A review of wearable technology in healthcare: Monitoring patient health and enhancing outcomes. OARJ of Multidisciplinary Studies, 7(01), 142-148. https://www.researchgate.net/profile/Ehizogie-Adeghe-2/publication/380068620_A_review_of_wearable_technology_in_healthcare_Monitoring_patient_health_and_enhancing_outcomes/links/66294d5906ea3d0b740103d7/A-review-of-wearable-technology-in-healthcare-Monitoring-patient-health-and-enhancing-outcomes.pdf

An excellent overview of current wearable patient technologies and how they have been incorporated in the management of chronic diseases.

Haque, M.R., & Rubya, S. (2023). An overview of chatbot-based mobile mental health apps: insights from app description and user reviews. JMIR mHealth and uHealth, 11(1), e44838. https://mhealth.jmir.org/2023/1/e44838/

This critical look at how AI-powered chatbots are beginning to impact patient care provides a good foundation for students looking to explore how these technologies may be appropriate for some patient cohorts.

Pierce, R.P., & Stevermer, J.J. (2023). Disparities in the use of telehealth at the onset of the COVID-19 public health emergency. Journal of telemedicine and telecare, 29(1), 3-9. https://journals.sagepub.com/doi/pdf/10.1177/1357633X20963893

Not all solutions will equally work in all places and times. This article is important for two reasons. First, it epitomizes one lens through which differential use of a technological solution is viewed by academics. Secondly, it is a great example of technologies being more useful in some situations than others.

Lin, W., Xu, M., He, J., & Zhang, W. (2023). Privacy, security and resilience in mobile healthcare applications. Enterprise Information Systems, 17(3), 1939896. https://web.p.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=5b2d8669-f002-4223-ad78-8be505fdf186%40redis

A systematic review of several privacy and security considerations impacting functional architecture to modern health informatics technologies.

Rostami, M., Oussalah, M., Berahmand, K., & Farrahi, V. (2023). Community detection algorithms in healthcare applications: a systematic review. IEEE Access, 11, 30247-30272. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10078397

COVID-19 contact tracking redefined standards on how governments can gather and use information to identify population trends. In this article, the authors propose a way this technology could be leveraged to support both health care providers and patients.