AIMC Topic: Patient Participation

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Participatory Co-Creation of an AI-Supported Patient Information System: A Multi-Method Qualitative Study.

Studies in health technology and informatics May 15, 2025
In radiology and other medical fields, informed consent often rely on paper-based forms, which can overwhelm patients with complex terminology. These forms are also resource-intensive. The KIPA project addresses these challenges by developing an AI-a...
Electronic Health Records Qualitative Research Humans Artificial Intelligence Informed Consent Radiology Information Systems Patient Participation User-Computer Interface Natural Language Processing
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Bridging Gaps with Generative AI: Enhancing Hypertension Monitoring Through Patient and Provider Insights.

Studies in health technology and informatics Aug 22, 2024
This study introduces a Generative Artificial Intelligence (GenAI) assistant designed to address key challenges in Remote Patient Monitoring (RPM) for hypertension. After a comprehensive needs assessment from clinicians and patients, we identified pi...
Hypertension Monitoring, Physiologic Surveys and Questionnaires Health Knowledge, Attitudes, Practice Telemedicine Stakeholder Participation Natural Language Processing Physician-Patient Relations Humans Digital Health Physicians Reproducibility of Results Evidence Gaps Patient Participation Needs Assessment
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Integrating Chatbot Functionality in a Patient Summary Based Healthcare System.

Studies in health technology and informatics Aug 22, 2024
The integration of chatbots in healthcare has gained attention due to their potential to enhance patient engagement and satisfaction. This paper presents a healthcare chatbot providing comprehensive access to patient summaries, aligned with the Europ...
Electronic Health Records Humans Natural Language Processing Systems Integration Patient Participation
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Building a Binary Classification Machine-Learning Model: A Guide to Predicting Participation in a Lyme Disease Program at a Medical Institute.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
The field of data analysis, preparation, and machine learning is rapidly expanding, offering numerous libraries and resources for exploration. Researchers gain knowledge through various channels, but few resources provide a comprehensive framework fo...
Lyme Disease Patient Participation Humans Machine Learning
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Patient Empowerment through Personal Medical Recommendations.

Studies in health technology and informatics Jan 1, 2015
Patients today have ample opportunities to inform themselves about their disease and possible treatments using the Internet. While this type of patient empowerment is widely regarded as having a positive influence on the treatment, there exists the p...
Expert Systems Patient Participation Data Accuracy Social Media Health Information Systems Information Dissemination Patient Education as Topic
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Augmented Reality: Real-Time Information Concerning Medication Consumed by a Patient.

Studies in health technology and informatics Jan 1, 2015
This paper describes a mobile prototype capable of recognizing characters from a photograph of a medication package. The prototype was built to work on the iOS platform and was developed using Objective-C and C programming languages. The prototype, c...
Drug Labeling Mobile Applications Self Medication Natural Language Processing Patient Participation User-Computer Interface Drug Therapy, Computer-Assisted Computer Systems Drug Monitoring Argentina Algorithms Remote Consultation Computer Graphics
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Knowledge-Based Personal Health System to empower outpatients of diabetes mellitus by means of P4 Medicine.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Diabetes Mellitus (DM) affects hundreds of millions of people worldwide and it imposes a large economic burden on healthcare systems. We present a web patient empowering system (PHSP4) that ensures continuous monitoring and assessment of the health s...
Humans Precision Medicine Female Adult Health Knowledge, Attitudes, Practice Diabetes Mellitus Outpatients Risk Assessment Patient Participation Male Comorbidity Middle Aged Knowledge Bases
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