Publications
All scientific publications related to research on Care2Report are listed below. For each publication the abstract is included and a link to the full paper is made available if possible. Publications are listed in chronological order, starting with the most recent publication.
Enhancing Summarization Performance through Transformer-Based Prompt Engineering in Automated Medical Reporting
Customized medical prompts enable Large Language Models (LLM) to effectively address medical dialogue summarization. The process of medical reporting is often time-consuming for healthcare professionals. Implementing medical dialogue summarization techniques presents a viable solution to alleviate...
Comparative Experimentation of Accuracy Metrics in Automated Medical Reporting: The Case of Otitis Consultations
Generative Artificial Intelligence (AI) can be used to automatically generate medical reports based on transcripts of medical consultations. The aim is to reduce the administrative burden that healthcare professionals face. The accuracy of the generated reports needs to be established to ensure...
Design Principles for the Interface of an Automated Medical Reporting System: a User Study in Preoperative Screening
This paper presents a qualitative design science study into the interface of an Automated Medical Reporting (AMR) system in order to establish user-centered design principles. AMR has been proposed as a solution to conquer the administrative burden in healthcare to improve patient-doctor contact....
Automated Identification of Yellow Flags and Their Signal Terms in Physiotherapeutic Consultation Transcripts
This paper investigates the possibility of automating the process of identifying yellow flags and their signal terms in physiotherapeutic consultation transcripts from patients with low back pain, using Automated Text Identification. It is part of the Automated Medical Reporting research domain....
How Different Elements of Audio Affect the Word Error Rate of Transcripts in Automated Medical Reporting (Best Paper Award)
Automated Speech Recognition software is implemented in different fields. One of them is healthcare in which it can be used for automated medical reporting, the field of focus of this research. For the first step of automated medical reporting, audio files of consultations need to be transcribed....
A Semi-automated Method for Domain-Specific Ontology Creation from Medical Guidelines
The automated capturing and summarization of medical consultations has the potential to reduce the administrative burden in healthcare. Consultations are structured conversations that broadly follow a guideline with a systematic examination of predefined observations and symptoms to diagnose and...
Automated Medical Reporting: From Multimodal Inputs to Medical Reports through Knowledge Graphs
Care providers generally experience a high workload mainly due to the large amount of time required for adequate documentation. This paper presents our visionary idea of real-time automated medical reporting through the integration of speech and action recognition technology with knowledge-based...
Video2Report: A Video Database for Automatic Reporting of Medical Consultancy Sessions
Abstract Documenting patient medical information in the electronic medical record is a time-consuming task at the expense of direct patient care. We propose an integrated solution to automate the process of medical reporting. This vision is enabled through the integration of speech and action...
Medical Dialogue Summarization for Automated Reporting in Healthcare
Healthcare providers generally spend excessive time on administrative tasks at the expense of direct patient care. The emergence of new artificial intelligence and natural language processing technologies gives rise to innovations that could relieve them of this burden. In this paper, we present...
Reference Method for the Development of Domain Action Recognition Classifiers: The Case of Medical Consultations
Advances in human action recognition and interaction recognition enable the reliable execution of action classification tasks through machine learning algorithms. However, no systematic approach for developing such classifiers exists and since actions vary between domains, appropriate and usable...
The Care2ReportSystem: Automated medical reporting as an integrated solution to reduce administrative burden in healthcare
Abstract Documenting patient medical information in the electronic medical record is a time-consuming task at the expense of direct patient care. We propose an integrated solution to automate the process of medical reporting. This vision is enabled through the integration of speech and action...
