A5100393408- Electronic Health Records Systems
- Telemedicine and Telehealth Implementation
- Mobile Health and mHealth Applications
- Human-Automation Interaction and Safety
- Healthcare Systems and Technology
- Artificial Intelligence in Healthcare and Education
- Topic Modeling
- Context-Aware Activity Recognition Systems
- Digital Mental Health Interventions
- Health Literacy and Information Accessibility
- Healthcare Technology and Patient Monitoring
- Biomedical Text Mining and Ontologies
- IoT and Edge/Fog Computing
- AI in Service Interactions
- Personal Information Management and User Behavior
- Emergency and Acute Care Studies
- Technology Use by Older Adults
- Data Quality and Management
- Augmented Reality Applications
- Team Dynamics and Performance
- Expert finding and Q&A systems
- Speech and dialogue systems
- Patient Safety and Medication Errors
- Trauma and Emergency Care Studies
- Clinical Reasoning and Diagnostic Skills
Pace University
2018-2024
University of Colorado System
2024
Oklahoma State University Oklahoma City
2024
Huazhong University of Science and Technology
2024
Tongji Hospital
2024
Gansu University of Traditional Chinese Medicine
2023
Guangzhou University
2023
NOAA Environmental Modeling Center
2022
Wuhan University
2022
Center for Strategic and International Studies
2022
Artificial intelligence (AI) technology has been increasingly used in the implementation of advanced Clinical Decision Support Systems (CDSS). Research demonstrated potential usefulness AI-powered CDSS (AI-CDSS) clinical decision making scenarios. However, post-adoption user perception and experience remain understudied, especially developing countries. Through observations interviews with 22 clinicians from 6 rural clinics China, this paper reports various tensions between design an AI-CDSS...
Artificial intelligence (AI)-driven chatbots are increasingly being used in health care, but most designed for a specific population and evaluated controlled settings. There is little research documenting how consumers (eg, patients caregivers) use self-diagnosis purposes real-world scenarios.The aim of this was to understand context, what issues barriers exist their usage, the user experience novel technology can be improved.We employed data-driven approach analyze system log widely...
Results of radiology imaging studies are not typically comprehensible to patients. With the advances in artificial intelligence (AI) technology recent years, it is expected that AI can aid patients’ understanding data. The aim this study understand perceptions and acceptance using interpret their reports. We conducted semi-structured interviews with 13 participants elicit reflections pertaining use report interpretation. A thematic analysis approach was employed analyze interview...
As the challenge of mental health problems such as anxiety and depression increasing today, more convenient, objective, real-time assessing techniques state are in need. The Microsoft Kinect camera is a possible option for contactlessly capturing human gait, which could reflect walkers' state. So we tried to propose novel method monitoring individual's based on Kinect-recorded gait pattern. In this study, after finishing 7-item Generalized Anxiety Disorder Scale (GAD-7) 9-item Patient Health...
Chatbots systems, despite their popularity in today's HCI and CSCW research, fall short for one of the two reasons: 1) many systems use a rule-based dialog flow, thus they can only respond to limited number pre-defined inputs with pre-scripted responses; or 2) are designed focus on single-user scenarios, it is unclear how these may affect other users community. In this paper, we develop generalizable chatbot architecture (CASS) provide social support community members an online health The...
Background Patients are increasingly able to access their laboratory test results via patient portals. However, merely providing does not guarantee comprehension. could experience confusion when reviewing results. Objective The aim of this study is examine the challenges and needs patients comprehending Methods We conducted a web-based survey with 203 participants set semistructured interviews 13 participants. assessed patients’ perceived (both informational technological needs) they...
Much research has focused on advancing techniques for explainable artificial intelligence (XAI) to improve the utility of AI recommendations. However, metacognitive processes involved in interacting with explanations have not been fully explored. In this study, we examine effects human decisions from perspective cognitive mechanisms that evaluate correctness To accomplish this, conducted a large-scale, between-subject experiment (N=4,302) Amazon Mechanical Turk, during which each participant...
Empty follicle syndrome (EFS) is a condition in which no oocyte retrieved from mature follicles after proper ovarian stimulation an vitro fertilization procedure. Genetic evidence accumulates for the etiology of recurrent EFS without pharmacological or iatrogenic problems. In this study, we present two infertile sisters family with three cycles standard human chorionic gonadotrophin and/or gonadotropin-releasing hormone agonist therapy. Via whole-exome sequencing and cosegregation test,...
Smart glasses have been gaining momentum as a novel technology because of their advantages in enabling hands-free operation and see-what-I-see remote consultation. Researchers primarily evaluated this hospital settings; however, limited research has investigated its application prehospital operations.The aim study is to understand the potential smart support work practices providers, such emergency medical services (EMS) personnel.We conducted semistructured interviews with 13 EMS providers...
This study examined loneliness and future orientation as predictors of suicidal risk, namely, depressive symptoms suicide ideation, in a sample 228 college students (54 males 174 females). Results regression analyses indicated that was significant predictor both indices risk. The inclusion found to significantly augment the prediction model even after accounting for loneliness. Noteworthy, beyond orientation, Loneliness × Future Orientation interaction term further models Consistent with...
Abstract Objective This study aims to investigate key considerations and critical factors that influence the implementation adoption of smart glasses in fast-paced medical settings such as emergency services (EMS). Materials Methods We employed a sociotechnical theoretical framework conducted set participatory design workshops with 15 EMS providers elicit their opinions concerns about using real practice. Results Smart were recognized useful tool improve workflow given hands-free nature...
Clinical data, such as laboratory test results, is increasingly being made available to patients through patient portals. However, often have difficulties understanding and acting upon the clinical data presented in As such, many turn online resources fill their knowledge gaps obtain actionable advice. In this work, we present a content analysis of questions posted major social Q&A site characterize lay people's general information needs concerning results inform design portals for...
Chatbots systems, despite their popularity in today's HCI and CSCW research, fall short for one of the two reasons: 1) many systems use a rule-based dialog flow, thus they can only respond to limited number pre-defined inputs with pre-scripted responses; or 2) are designed focus on single-user scenarios, it is unclear how these may affect other users community. In this paper, we develop generalizable chatbot architecture (CASS) provide social support community members an online health The...
Background Children with autoimmune hepatitis (AIH) often present symptoms similar to those of other liver diseases. This study consists a comparison between the clinical and histological characteristics AIH four AIH-like diseases [i.e . , drug-induced injury (DILI), gene deficiency, infectious disease etiology disease], as well an evaluation scoring system's diagnostic performance. Methods All children at our center from January 2013 December 2022 were included. The group retrospectively...
This paper investigates coordination and real-time information sharing across four emergency medical teams in a high-risk distributed setting as they provide care to critically injured patients within the first hour after injury. Through multiple field studies we explored how common understanding of critical patient data is established these heterogeneous what mechanisms are being used support interpretation. To interpret data, drew on concept Common Information Spaces (CIS). Our results...