Page 33 - IMDR Journal 2025

Research Article
LITERATURE REVIEW Looking ahead, smarter AI could better understand what
patients need and become a key tool in digital healthcare.
1. "A Review of the Role of Artificial Intelligence in
Healthcare” 3."Exploring Patient Perspectives on How They Can and
Should Be Engaged in the Development of Artificial
Published in Journal of Healthcare Informatics Research,
Intelligence (AI) Applications in Health Care”
2023
Published in BMC Health Services Research, 2023
2,3
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Authors: Ahmed Al Kuwaiti ,*, Khalid Nazer , Abdullah
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6,7
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Al-Reedy , Shaher Al- Shehri , Afnan Al-Muhanna , Arun Authors Samira Adus, Jillian Macklin & Andrew Pinto
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Vijay Subbarayalu , Dhoha Al Muhanna , Fahad A Al- This study explores the role of patient involvement in the
Muhanna 10,11 development of AI-driven healthcare applications, arguing
This paper investigates the revolutionary impact of Artificial that patient-centric AI models lead to better engagement and
Intelligence (AI) in different parts of healthcare, such as trust. The research is based on qualitative interviews with
diagnostics, administrative tasks, and patient interaction. It patients, healthcare professionals, and AI developers,
demonstrates how artificial intelligence improves identifying key concerns and expectations regarding AI
operational efficiency by automating routine operations like adoption in healthcare. Patients emphasize the need for
scheduling, documentation, and patient communication. transparency in AI decision-making, particularly in
The research focuses on AI-powered chatbots and virtual diagnosis, treatment recommendations, and data
assistants, which boost patient engagement by offering real- management. The study reveals that patient engagement in
time support, appointment reminders, and personalized AI development fosters greater acceptance and adherence to
health advice. Furthermore, it explores how predictive AI-driven healthcare solutions. Moreover, it discusses how
analytics can help identify high-risk patients and initiate AI applications can be more effective when designed with
early interventions, resulting in better health outcomes and patient feedback, ensuring that features such as symptom
fewer hospital readmissions. The essay also looks at the checkers, chatbots, and predictive analytics align with
ethical concerns and obstacles that come with AI adoption, actual user needs. Ethical considerations, including bias in
such as data privacy, bias in AI systems, and regulatory AI models and the potential depersonalization of healthcare,
compliance. By analysing case studies and real-world are also addressed. The study concludes that incorporating
applications, the review underscores AI’s potential in patient perspectives in AI design enhances personalization,
optimizing patient retention strategies through automated improves healthcare outcomes, and strengthens long-term
follow-ups and tailored content delivery. While AI presents patient- provider relationships. It recommends that
significant benefits, the study emphasizes the need for healthcare organizations adopt participatory design
stringent data governance and patient- centric approaches to approaches, where patients actively contribute to shaping AI
ensure ethical and effective AI deployment in healthcare technologies that directly impact their care experiences.
marketing. The findings suggest that AI-driven innovations 4. "Challenges in Participant Engagement and Retention
will continue to reshape healthcare delivery, making Using Mobile Health Apps Literature Review”
personalized and proactive patient engagement a core Published in Journal of Medical Internet Research, 2022
strategy for healthcare providers.
Authors Saki Amagai1 ; Sarah Pila1 ; Aaron J Kaat1 ;
2. "Patient Engagement with Conversational Agents in Cindy J Nowinski1 ; Richard C Gershon1
Health Applications 2016– 2022 A Systematic Review and
Meta-Analysis” This literature review examines the challenges associated
with patient engagement and retention in mobile health
Published in Journal of Medical Systems, 2024
(mHealth) applications, identifying factors that influence
Authors Kevin E. Cevasco, Rachel E. Morrison Brown, user adherence and drop-off rates. The study looks at how
Rediet Woldeselassie & Seth Kaplan mobile health (mHealth) apps help patients.These apps
Morrison Brown, Rediet Woldeselassie, and Seth Kaplan make healthcare easier to access. But keeping users engaged
studied how chatbots help in healthcare. They studied 50 for a long time is still a big problem. The study points out
case and clinical trials done in the years 2016 to 2022. The three main types of barriers: tech issues, user behavior, and
majorly focus was to involve the patients and ensure their system-level problems. Tech barriers include apps that are
care. hard to use, not personalized, or don’t protect privacy well.
Behavioral barriers involve low motivation, poor health
The chatbots helped in identifying symptoms, timely knowledge, and not sticking to app routines. Systemic
reminders to the patients for consuming the medicines, and barriers come from weak links between apps and doctors,
giving mental health support. They answered quickly and and from health rules that limit what apps can do.The study
gave personal advice. This made patients feel more says smart features like changing the app look based on the
connected and helped them stick to their treatment. The
chatbots assisted in the follow-up messages and giving the user, guessing user needs, or using game-like tools can help.
health tips which helped patients stay on track with their Sending reminders, helpful tips, and custom content also
health. But there are downsides. AI chatbots don’t keeps users more engaged.The findings emphasize that for
AI- powered mHealth applications to be successful,
understand emotions well, and there are worries about how
developers must prioritize user experience, maintain
they handle private health data. The study says the best transparency in data usage, and ensure interoperability with
results come from a mix of AI and human support.
existing healthcare systems to foster long-term patient
engagement.
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