AI-supported Health Coaching Model for Patients with Chronic Diseases

Sqalli, Mohammed Tahri; Al-Thani, Dena

doi:10.1109/iswcs.2019.8877113

Cited by 25 publications

(25 citation statements)

References 17 publications

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“…The feedback is mostly effective to the user when it is based on the context and the environment. The aim of health coaching is to support the user achieve a certain health goal ( 2 ). The potential benefits of harnessing these technologies in the health sector also bring an important share of challenges and questions to be answered.…”

Section: Introductionmentioning

confidence: 99%

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Evolution of Wearable Devices in Health Coaching: Challenges and Opportunities

Sqalli

Al-Thani

2020

Front. Digit. Health

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Wearable devices hold an enormous potential in contributing to an improved global health. The availability, non-invasiveness, and affordability of those systems make them promising candidates to transform the standard of care for health coaching. These wearable devices are now considered as versatile coaching systems. Patients who wish to improve their health and well-being refer to wearables for tracking and quantifying their improvement. The timeliness of the “wearable device as a health coaching enabler” field of research will inevitably know a prominent growth in the upcoming years. This growth is expected to stem from both the computing and the medical fields. In this perspective article, we list the potential challenges as well as the opportunities of this newly born field from an interdisciplinary perspective. We mainly focus on both the computing and healthcare perspectives. We also chart guidelines for the healthcare research community that is willing to get involved in the computing field to harness the benefits of wearable devices.

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Section: Introductionmentioning

confidence: 99%

“…Personalized care and personalized coaching(2): The concept of personalized care refers to the possibility of adapting the healthcare program of the users to their individual needs. The ability for wearable devices to timely monitor patients health indicators allows for a uniquely personalized care and coaching to every patient using these wearable devices.…”

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confidence: 99%

Evolution of Wearable Devices in Health Coaching: Challenges and Opportunities

Sqalli

Al-Thani

2020

Front. Digit. Health

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“…The conclusions from the analysis, discussion, and conclusion sections will be carried out to design a study that uses an AI-based HCS dedicated for supporting patients with cardiovascular diseases independently interpret their electrocardiograms (ECGs). With the advent of wearable technologies that are capable of measuring patients' ECGs, supporting patients understand and properly read their electrocardiogram is of paramount importance [4,8]. However, this task requires a deep understanding in both the computational and medical fields.…”

Section: Future Workmentioning

confidence: 99%

“…The state of the art in managing chronic conditions focuses on providing patients with the necessary tools and trainings to promote their wellbeing. These tools and trainings are known as health coaching [8]. With the advent and affordability of intelligent technologies, enabling the health coaching process leads the patients to focus on their wellbeing despite the obstacle of living with a chronic condition ( [4], p. 2).…”

Section: Introductionmentioning

confidence: 99%

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On How Chronic Conditions Affect the Patient-AI Interaction: A Literature Review

Sqalli

Al-Thani

2020

Healthcare

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Background: Across the globe, managing chronic diseases has been recognized as a challenge for patients and healthcare providers. The state of the art in managing chronic conditions requires not only responding to the clinical needs of the patient, but also guaranteeing a comfortable state of wellbeing for them, despite living with the disease. This demands mutual effort between the patient and the physician in constantly collecting data, monitoring, and understanding the disease. The advent of artificial intelligence has made this process easier. However, studies have rarely attempted to analyze how the different artificial intelligence based health coaching systems are used to manage different types of chronic conditions. Objective: Throughout this grounded theory literature review, we aim to provide an overview for the features that characterize artificial intelligence based health coaching systems used by patients with chronic diseases. Methods: During our search and paper selection process process, we use three bibliographic libraries (PubMed, IEEE Xplore, and ACM Digital Library). Using the grounded theory, we extract overarching themes for the artificial intelligence based health coaching systems. These systems are then classified according to their role, platform, type of interaction with the patient, as well as targeted chronic conditions. Of 869 citations retrieved, 31 unique studies are included in this review. Results: The included studies assess 14 different chronic conditions. Common roles for AI-based health coaching systems are: developing adherence, informing, motivating, reminding, preventing, building a care network, and entertaining. Health coaching systems combine the aforementioned roles to cater to the needs of the patients. The combinations of these roles differ between multilateral, unilateral, opposing bilateral, complementing bilateral, one-role-missing, and the blurred role combinations. Conclusion: Clinical solutions and research related to artificial intelligence based health coaching systems are very limited. Clear guidelines to help develop artificial intelligence-based health coaching systems are still blurred. This grounded theory literature review attempted to shed the light on the research and development requirements for an effective health coaching system intended for patients with chronic conditions. Researchers are recommended to use this review to identify the most suitable role combination for an effective health coaching system development.

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