Given the impact of health literacy (HL) on patients outcomes, limited health literacy (LHL) is a major barrier in cancer care globally. HL refers to the degree in which an individual is able to acquire, process and comprehend information in a way to be actively involved in their health decisions. Previous research found that almost half of the population in developed countries have difficulties in understanding health related information. With the gradual shift toward the shared decision making (SDM) process and digital transformation in oncology, the need for dealing with low HL issues is more crucial. Decision making in oncology is often accompanied by considerable consequences on patients lives, which requires patients to understand complex information and be able to compare treatment methods by considering their own values. How health information is perceived by patients is influenced by various factors including patients characteristics and the way information is presented to patients. Based on the findings, identifying patients with low HL and using simple data visualizations are the best practice to help patients and clinicians in dealing with LHL. Furthermore, preparing reliable sources of information in tools such as patient decision aids (PDA), as well as involving HL mediators in consultation sessions supports patients to make sense of complex information.
Co-Designing AI For Mental Health Support With Young Adults of Color (YOC): Needs, Expectations, and Implications for AI Literacy
University of Southern California（南加州大学）；University of California, Riverside（加州大学河滨分校）；University of Cincinnati（辛辛那提大学）；University of Washington（华盛顿大学）；Center for Democracy & Technology（民主与技术中心）
In the Middle, Not on Top: AI-Mediated Communication for Patient-Provider Care Relationships
Columbia University（哥伦比亚大学）；Cornell University（康奈尔大学）；The Sixth Primary School of Qianxi County（迁西县第六小学）；Universidad Politécnica Pe Madrid（马德里理工大学）；Tsinghua University（清华大学）
Patient-centered visualization of multistage cancer treatment trajectories
University of Applied Sciences of the Grisons（格劳宾登应用科学大学）；Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden（德累斯顿工业大学卡尔·古斯塔夫·卡鲁斯大学附属医院）
Patient Digital Twins for Chronic Care: Technical Hurdles, Lessons Learned, and the Road Ahead
Scientific Academy for Service Technology e.V. (ServTech)（服务技术科学学会）；Faculty of Computers & Artificial Intelligence, Cairo University（开罗大学计算机与人工智能学院）；University of Macquarie（麦考瑞大学）；University of New Wales（新南威尔士大学）；FernUniversität in Hagen（哈根远程大学）；Egypt University of Informatics（埃及信息学大学）
"It Felt Like I Was Left in the Dark": Exploring Information Needs and Design Opportunities for Family Caregivers of Older Adult Patients in Critical Care Settings
Northeastern University（东北大学）；University of Michigan（密歇根大学）；University of Colorado College of Nursing（科罗拉多大学护理学院）；University of Colorado Anschutz Medical Campus（科罗拉多大学安舒茨医疗校区）
AmarDoctor: An AI-Driven, Multilingual, Voice-Interactive Digital Health Application for Primary Care Triage and Patient Management to Bridge the Digital Health Divide for Bengali Speakers
MedAi Bangladesh Limited（MedAi孟加拉有限公司）；Central Police Hospital, Dhaka, Bangladesh（达卡警察医院）；University of Birmingham, UK（英国伯明翰大学）
