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1. A randomized simulation trial evaluating ABiMed, a clinical decision support system for medication reviews and polypharmacy management

Author

Mouazer, Abdelmalek, Dubois, Sophie, Léguillon, Romain, Boudegzdame, Nada, Levrard, Thibaud, Bars, Yoann Le, Simon, Christian, Séroussi, Brigitte, Grosjean, Julien, Lelong, Romain, Letord, Catherine, Darmoni, Stéfan, Sedki, Karima, Meneton, Pierre, Tsopra, Rosy, Falcoff, Hector, and Lamy, Jean-Baptiste

Subjects
Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction, J.3
Abstract

Background: Medication review is a structured interview of the patient, performed by the pharmacist and aimed at optimizing drug treatments. In practice, medication review is a long and cognitively-demanding task that requires specific knowledge. Clinical practice guidelines have been proposed, but their application is tedious. Methods: We designed ABiMed, a clinical decision support system for medication reviews, based on the implementation of the STOPP/START v2 guidelines and on the visual presentation of aggregated drug knowledge using tables, graphs and flower glyphs. We evaluated ABiMed with 39 community pharmacists during a randomized simulation trial, each pharmacist performing a medication review for two fictitious patients without ABiMed, and two others with ABiMed. We recorded the problems identified by the pharmacists, the interventions proposed, the response time, the perceived usability and the comments. Pharmacists' medication reviews were compared to an expert-designed gold standard. Results: With ABiMed, pharmacists found 1.6 times more relevant drug-related problems during the medication review (p=1.1e-12) and proposed better interventions (p=9.8e-9), without needing more time (p=0.56). The System Usability Scale score is 82.7, which is ranked "excellent". In their comments, pharmacists appreciated the visual aspect of ABiMed and its ability to compare the current treatment with the proposed one. A multifactor analysis showed no difference in the support offered by ABiMed according to the pharmacist's age or sex, in terms of percentage of problems identified or quality of the proposed interventions. Conclusions: The use of an intelligent and visual clinical decision support system can help pharmacists when they perform medication reviews. Our main perspective is the validation of the system in clinical conditions., Comment: 8 pages, 6 figures

Published
2024

2. ABiMed: An intelligent and visual clinical decision support system for medication reviews and polypharmacy management

Author

Mouazer, Abdelmalek, Léguillon, Romain, Boudegzdame, Nada, Levrard, Thibaud, Bars, Yoann Le, Simon, Christian, Séroussi, Brigitte, Grosjean, Julien, Lelong, Romain, Letord, Catherine, Darmoni, Stéfan, Schuers, Matthieu, Sedki, Karima, Dubois, Sophie, Falcoff, Hector, Tsopra, Rosy, and Lamy, Jean-Baptiste

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence, I.2.1 J.3
Abstract

Background: Polypharmacy, i.e. taking five drugs or more, is both a public health and an economic issue. Medication reviews are structured interviews of the patient by the community pharmacist, aiming at optimizing the drug treatment and deprescribing useless, redundant or dangerous drugs. However, they remain difficult to perform and time-consuming. Several clinical decision support systems were developed for helping clinicians to manage polypharmacy. However, most were limited to the implementation of clinical practice guidelines. In this work, our objective is to design an innovative clinical decision support system for medication reviews and polypharmacy management, named ABiMed. Methods: ABiMed associates several approaches: guidelines implementation, but the automatic extraction of patient data from the GP's electronic health record and its transfer to the pharmacist, and the visual presentation of contextualized drug knowledge using visual analytics. We performed an ergonomic assessment and qualitative evaluations involving pharmacists and GPs during focus groups and workshops. Results: We describe the proposed architecture, which allows a collaborative multi-user usage. We present the various screens of ABiMed for entering or verifying patient data, for accessing drug knowledge (posology, adverse effects, interactions), for viewing STOPP/START rules and for suggesting modification to the treatment. Qualitative evaluations showed that health professionals were highly interested by our approach, associating the automatic guidelines execution with the visual presentation of drug knowledge. Conclusions: The association of guidelines implementation with visual presentation of knowledge is a promising approach for managing polypharmacy. Future works will focus on the improvement and the evaluation of ABiMed., Comment: 10 pages, 7 figures

Published
2023

3. Adaptive questionnaires for facilitating patient data entry in clinical decision support systems: methods and application to STOPP/START v2

Author

Lamy Jean-Baptiste, Mouazer Abdelmalek, Léguillon Romain, Lelong Romain, Darmoni Stéfan, Sedki Karima, Dubois Sophie, and Falcoff Hector

Subjects
Adaptive questionnaire, Clinical decision support systems, Polypharmacy management, Medication review, Patient data entry, STOPP/START v2, Computer applications to medicine. Medical informatics, R858-859.7
Abstract

Abstract Clinical decision support systems are software tools that help clinicians to make medical decisions. However, their acceptance by clinicians is usually rather low. A known problem is that they often require clinicians to manually enter a lot of patient data, which is long and tedious. Existing solutions, such as the automatic data extraction from electronic health record, are not fully satisfying, because of low data quality and availability. In practice, many systems still include long questionnaire for data entry. In this paper, we propose an original solution to simplify patient data entry, using an adaptive questionnaire, i.e. a questionnaire that evolves during user interaction, showing or hiding questions dynamically. Considering a rule-based decision support systems, we designed methods for determining the relationships between rules and translating the system’s clinical rules into display rules that determine the items to show in the questionnaire, and methods for determining the optimal order of priority among the items in the questionnaire. We applied this approach to a decision support system implementing STOPP/START v2, a guideline for managing polypharmacy. We show that it permits reducing by about two thirds the number of clinical conditions displayed in the questionnaire, both on clinical cases and real patient data. Presented to clinicians during focus group sessions, the adaptive questionnaire was found “pretty easy to use”. In the future, this approach could be applied to other guidelines, and adapted for data entry by patients.

Published
2024
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10. Combining Virtual Reality with Mixed Reality for Efficient Training in Battery Manufacturing.

Author

Denisart, Lucie, Zapata‐Dominguez, Diana, David, Xavier, Leclere, Aubin, Lelong, Romain, Liu, Chaoyue, Xu, Jiahui, Loup‐Escande, Emilie, and Franco, Alejandro A.

Subjects
MIXED reality, VIRTUAL reality, DIGITAL twins, LITHIUM-ion battery manufacturing, CHEMISTRY students, SKILLED labor
Abstract

The manufacturing process of batteries can be complex and time‐consuming. We introduce a new version of the digital twin of our lithium‐ion battery pilot line, Simubat 4.0 Gen‐2, based on a new combination of Virtual Reality and Mixed Reality. This digital twin is designed to deliver training on the lithium‐ion battery manufacturing process and electrode properties. This tool aims to make users active learners, helping them visualize and understand complex concepts and meets a strong need for skilled labor linked to the blooming of battery gigafactory, in particular in our region. We report here a detailed study of the educational contribution of Simubat 4.0 Gen‐2. This study was performed during two filmed training sessions: the first one with chemistry MSc. students, and the second one with AESC Gigafactory trainees. We used questionnaires to measure the usability and usefulness and at the same time, we studied the usage by analyzing errors and qualitatively assessing communications among the participants. Our study revealed that users had more knowledge after using our digital twin; the tool was evaluated as being efficient by the users and it has been proven to be suitable for training in battery manufacturing. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Rewriting Natural Language Queries Using Patterns

Author

Soualmia, Lina F., Lelong, Romain, Dahamna, Badisse, Darmoni, Stéfan J., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Müller, Henning, editor, Jimenez del Toro, Oscar Alfonso, editor, Hanbury, Allan, editor, Langs, Georg, editor, and Foncubierta Rodriguez, Antonio, editor

Published
2015
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15. La réalité virtuelle démystifiée : Principe - Interfaces - Applications - Perspectives Ed. 1

Author

Lelong, Romain, Lelong, Romain, Thouvenin, Indira, Lelong, Romain, Lelong, Romain, and Thouvenin, Indira

Abstract

Rendre la réalité virtuelle accessible à tous. Facile à lire et très illustré, cet ouvrage passionnant fait entrer le lecteur dans le monde incroyable de la réalité virtuelle. On y parlera d'avatars, de théières, de chats virtuels à caresser, de perception, d'interaction, d'immersion, d'intelligence artificielle, de philosophie, d'éthique... Avec une approche simple et pratique, il dresse un panorama étendu de ce domaine en pleine ébullition, en présentant ses origines, son fonctionnement, son matériel, ses secteurs d'activité, ses limites et ses perspectives. Rédigé par deux auteurs aux parcours complémentaires, l'une issue de l'enseignement et de la re-cherche, l'autre chef d'entreprise d'une société de réalité virtuelle, ce livre de référence fournit les bases scientifiques et techniques pour maîtriser ce secteur qui entre dans une nouvelle ère de dé-veloppement. Lisible à plusieurs niveaux, il explique comment répondre aux enjeux économiques et sociétaux de cette technologie qui prend aujourd'hui de multiples formes combinant virtuel et réel. À qui s'adresse ce livre ? Aux particuliers et professionnels qui souhaitent comprendre la réalité virtuelle et connaître son écosystème Aux concepteurs de jeux, formateurs, designers, réalisateurs, consultants...

Published
2020

16. From Battery Manufacturing to Smart Grids: Towards a Metaverse for the Energy Sciences.

Author

Franco, Alejandro A., Loup‐Escande, Emilie, Loiseaux, Goran, Chotard, Jean‐Noël, Zapata‐Dominguez, Diana, Ciger, Jan, Leclere, Aubin, Denisart, Lucie, and Lelong, Romain

Subjects
SMART meters, SHARED virtual environments, WEB browsers, DIGITAL twins, LITHIUM-ion batteries, MIXED reality
Abstract

We present two digital‐based educative games aiming to engage students and the general public with battery sciences. The first one is a multiscale simulator in Mixed Reality of a battery‐powered Electric Vehicle (EV) interacting with an Electrical Grid. One of the players drives the EV in a Virtual Reality (VR) environment where the EV can be recharged, and the other players control the electricity produced, distributed, consumed and stored by interacting with 3D‐printed devices. The second educative game is a digital twin of a lithium ion battery manufacturing pilot line, which can be played from an Internet Browser or by using VR hardware. The key steps of the manufacturing process of cylindrical cells are represented in an interactive way. In this concept, we reviewed the working principles of our games, their implications for motivation, engagement and learning, and why they pave the way towards new ways of collaborative R&D in the battery field. [ABSTRACT FROM AUTHOR]

Published
2023
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17. La réalité virtuelle démystifiée

Author

Thouvenin, Indira, Lelong, Romain, Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), and Thouvenin, Indira

Subjects
ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.7: Three-Dimensional Graphics and Realism, ACM: H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.2: User Interfaces, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.7: Three-Dimensional Graphics and Realism/I.3.7.6: Virtual reality, [INFO]Computer Science [cs], [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
Abstract

International audience

Published
2020

18. Effects of a virtual reality game on learning performances and motivation: example of Nanoviewer in the field of energy storage

Author

Loup-Escande, Emilie, Herbulot, Simon, Ngandjong, Alain Cabrel, Lelong, Romain, Loup, Guillaume, Franco, Alejandro Antonio, Centre de Recherche en Psychologie : Cognition, Psychisme et Organisations - UR UPJV 7273 (CRP-CPO), Université de Picardie Jules Verne (UPJV), Laboratoire réactivité et chimie des solides - UMR CNRS 7314 (LRCS), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC), Réseau sur le stockage électrochimique de l'énergie (RS2E), Université de Picardie Jules Verne (UPJV)-Institut de Chimie du CNRS (INC)-Aix Marseille Université (AMU)-Université de Pau et des Pays de l'Adour (UPPA)-Université de Nantes (UN)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Ecole Nationale Supérieure de Chimie de Paris - Chimie ParisTech-PSL (ENSCP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Collège de France (CdF (institution))-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM), REVIATECH, Informatique, BioInformatique, Systèmes Complexes (IBISC), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay, Advanced Lithium Energy Storage Systems - ALISTORE-ERI (ALISTORE-ERI), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Université de Picardie Jules Verne (UPJV)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Université de Nantes (UN)-Aix Marseille Université (AMU)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Collège de France (CdF (institution))-Université de Picardie Jules Verne (UPJV)-Ecole Nationale Supérieure de Chimie de Montpellier (ENSCM)-Ecole Nationale Supérieure de Chimie de Paris - Chimie ParisTech-PSL (ENSCP), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Pau et des Pays de l'Adour (UPPA)-Institut de Chimie du CNRS (INC)-Université de Montpellier (UM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA), and Davesne, Frédéric

Subjects
Performances, Motivation, [SCCO.COMP] Cognitive science/Computer science, [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Virtual Reality, Learning, [SCCO.COMP]Cognitive science/Computer science, Electrochemical Energy Storage, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]
Abstract

International audience; Many studies have been conducted in the field of Virtual Reality (VR) for chemistry learning. However, no studies have been performed in the field of electrochemical energy storage, only few studies in other fields involve immersive VR devices and those have been conducted in classroom (i.e., uncontrolled environment). To fill these gaps, our study investigates the effects of VR in terms of performance learning and motivation in an experimental context that provides data from a controlled environment. Results showed that participants using VR were more efficient and effective than participants not using VR; no significant difference was observed between the two groups for learning outcomes; intrinsic motivation and identified regulation were higher for VR participants than non-VR participants.

Published
2020

19. La réalité virtuelle démystifiée : Principe - Interfaces - Applications - Perspectives Ed. 1

Author

Thouvenin, Indira, Lelong, Romain, Thouvenin, Indira, Thouvenin, Indira, Lelong, Romain, and Thouvenin, Indira

Abstract

Rendre la réalité virtuelle accessible à tous. Facile à lire et très illustré, cet ouvrage passionnant fait entrer le lecteur dans le monde incroyable de la réalité virtuelle. On y parlera d'avatars, de théières, de chats virtuels à caresser, de perception, d'interaction, d'immersion, d'intelligence artificielle, de philosophie, d'éthique... Avec une approche simple et pratique, il dresse un panorama étendu de ce domaine en pleine ébullition, en présentant ses origines, son fonctionnement, son matériel, ses secteurs d'activité, ses limites et ses perspectives. Rédigé par deux auteurs aux parcours complémentaires, l'une issue de l'enseignement et de la re-cherche, l'autre chef d'entreprise d'une société de réalité virtuelle, ce livre de référence fournit les bases scientifiques et techniques pour maîtriser ce secteur qui entre dans une nouvelle ère de dé-veloppement. Lisible à plusieurs niveaux, il explique comment répondre aux enjeux économiques et sociétaux de cette technologie qui prend aujourd'hui de multiples formes combinant virtuel et réel. À qui s'adresse ce livre ? Aux particuliers et professionnels qui souhaitent comprendre la réalité virtuelle et connaître son écosystème Aux concepteurs de jeux, formateurs, designers, réalisateurs, consultants...

Published
2020

20. Cover Feature: Entering the Augmented Era: Immersive and Interactive Virtual Reality for Battery Education and Research (Batteries & Supercaps 11/2020)

Author

Franco, Alejandro A., primary, Chotard, Jean‐Noël, additional, Loup‐Escande, Emilie, additional, Yin, Yinghui, additional, Zhao, Ruijie, additional, Rucci, Alexis, additional, Ngandjong, Alain C., additional, Herbulot, Simon, additional, Beye, Benjamin, additional, Ciger, Jan, additional, and Lelong, Romain, additional

Published
2020
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26. Word Embedding for French Natural Language in Healthcare: A Comparative Study

Author

Dynomant, Emeric, Lelong, Romain, Dahamna, Badisse, Massonnaud, Clément, Kerdelhué, Gaetan, Grosjean, Julien, Canu, Stéphane, Darmoni, Stéfan, Service d'informatique biomédicale [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé (LIMICS), and Université Paris 13 (UP13)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)

Subjects
Deep Learning, Natural language processing, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], word processing, data mining, Language, Semantics
Abstract

International audience; Structuring raw medical documents with ontology mapping is now the next step for medical intelligence. Deep learning models take as input mathematically embedded information, such as encoded texts. To do so, word embedding methods can represent every word from a text as a fixed-length vector. A formal evaluation of three word embedding methods has been performed on raw medical documents. The data corresponds to more than 12M diverse documents produced in the Rouen hospital (drug prescriptions, discharge and surgery summaries, inter-services letters, etc.). Automatic and manual validation demonstrates that Word2Vec based on the skip-gram architecture had the best rate on three out of four accuracy tests. This model will now be used as the first layer of an AI-based semantic annotator.

Published
2019

27. Building a Semantic Health Data Warehouse: Evaluation of a search tool in Clinical trials (Preprint)

Author

Lelong, Romain, Soualmia, Lina, Grosjean, Julien, Taalba, Mehdi, Darmoni, Stefan, Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Equipe Traitement de l'information en Biologie Santé (TIBS - LITIS), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Service d'informatique biomédicale [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé (LIMICS), Université Paris 13 (UP13)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), and Services des urgences [CHU Rouen]

Subjects
[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

28. Performance evaluation of three semantic expansions to query PubMed.

Author

Massonnaud, Clément, Lelong, Romain, Kerdelhué, Gaétan, Lejeune, Emeline, Grosjean, Julien, Griffon, Nicolas, and Darmoni, Stefan J.

Subjects
*ONLINE information services, *SEMANTICS, *SUBJECT headings, *BIBLIOGRAPHIC databases, *INFORMATION retrieval, *DESCRIPTIVE statistics, *MEDLINE, *INFORMATION storage & retrieval systems
Abstract

Background: PubMed is one of the most important basic tools to access medical literature. Semantic query expansion using synonyms can improve retrieval efficacy. Objective: The objective was to evaluate the performance of three semantic query expansion strategies. Methods: Queries were built for forty MeSH descriptors using three semantic expansion strategies (MeSH synonyms, UMLS mappings, and mappings created by the CISMeF team), then sent to PubMed. To evaluate expansion performances for each query, the first twenty citations were selected, and their relevance were judged by three independent evaluators based on the title and abstract. Results: Queries built with the UMLS expansion provided new citations with a slightly higher mean precision (74.19%) than with the CISMeF expansion (70.28%), although the difference was not significant. Inter‐rater agreement was 0.28. Results varied greatly depending on the descriptor selected. Discussion: The number of citations retrieved by the three strategies and their precision varied greatly according to the descriptor. This heterogeneity could be explained by the quality of the synonyms. Optimal use of these different expansions would be through various combinations of UMLS and CISMeF intersections or unions. Conclusion: Information retrieval tools should propose different semantic expansions depending on the descriptor and the search objectives. [ABSTRACT FROM AUTHOR]

Published
2021
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29. Terminology Coverage from Semantic Annotated Health Documents

Author

Ndangang, Marie, Grosjean, Julien, Lelong, Romain, Dahamna, Badisse, Kergourlay, Ivan, Griffon, Nicolas, Darmoni, Stefan, Service d'informatique biomédicale [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU), Equipe Traitement de l'information en Biologie Santé (TIBS - LITIS), Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé (LIMICS), and Université Paris 13 (UP13)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)

Subjects
Semantic annotator, Vocabulary, Controlled, Terminology server, Data Warehousing, Systematized Nomenclature of Medicine, Semantic Data Warehouse, [INFO]Computer Science [cs], Translating, Big data analytics, Data Curation, Semantics
Abstract

Unstructured health documents (e.g. discharge summaries) represent an important and unavoidable source of information.A semantic annotator identified all the concepts present in the health documents from the clinical data warehouse of the Rouen University Hospital.2,087,784,055 annotations were generated from a corpus of about 11.9 million documents with an average of 175 annotations per document. SNOMED CT, NCIt and MeSH were the top 3 terminologies that reported the most annotation.As expected, the most general terminologies with the most translated concepts were those with the most concepts identified.

Published
2018

30. NoSQL technology in order to support Semantic Health Search Engine

Author

Lelong, Romain, Soualmia, Lina F., Sakji, Saoussen, Dahamna, Badisse, Darmoni, Stefan, Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Equipe Traitement de l'information en Biologie Santé (TIBS - LITIS), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), and Soualmia, Lina F

Subjects
[INFO]Computer Science [cs], [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2018

31. Querying EHRs with a Semantic and Entity-Oriented Query Language

Author

Lelong, Romain, Soualmia, Lina, Dahamna, Badisse, Griffon, Nicolas, Darmoni, Stefan, Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Equipe Traitement de l'information en Biologie Santé (TIBS - LITIS), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), and Soualmia, Lina F

Subjects
Search Engine, Databases, Factual, Humans, Electronic Health Records, Information Storage and Retrieval, [INFO]Computer Science [cs], [INFO] Computer Science [cs], Controlled vocabulary, Natural Language Processing, Semantics
Abstract

International audience; While the digitization of medical documents has greatly expanded during the past decade, health information retrieval has become a great challenge to address many issues in medical research. Information retrieval in electronic health records (EHR) should also reduce the difficult tasks of manual information retrieval from records in paper format or computer. The aim of this article was to present the features of a semantic search engine implemented in EHRs. A flexible, scalable and entity-oriented query language tool is proposed. The program is designed to retrieve and visualize data which can support any Conceptual Data Model. The search engine deals with structured and unstructured data, for a sole patient from a caregiver perspective, and for a number of patients (e.g. epidemiology). Several types of queries on a test database containing 2,000 anonymized patients EHRs (i.e. approximately 200,000 records) were tested. These queries were able to accurately treat symbolic, textual, numerical and chronological data.

Published
2018

33. VICTEAMS

Author

Lourdeaux, Domitile, primary, Afoutni, Zoubida, additional, Ferrer, Marie-Hélène, additional, Sabouret, Nicolas, additional, Demulier, Virginie, additional, Martin, Jean-Claude, additional, Bolot, Laurence, additional, Boccara, Vincent, additional, and Lelong, Romain, additional

Published
2019
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37. Retrieving Clinical and Omic Data from Electronic Health Records

Author

Cabot, Chloé, Lelong, Romain, Grosjean, Julien, Soualmia, Lina F., Darmoni, Stéfan, Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Equipe Traitement de l'information en Biologie Santé (TIBS - LITIS), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), and Soualmia, Lina F

Subjects
Systems Integration, User-Computer Interface, Biological Ontologies, Databases, Genetic, Data Mining, Electronic Health Records, [INFO]Computer Science [cs], Medical Record Linkage, [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS, Natural Language Processing
Abstract

International audience

Published
2016

38. Semantic Search Engine to Query into Electronic Health Records with a Multiple-Layer Query Language

Author

Lelong Romain, Chloé Cabot, Soualmia, Lina F., Badisse Dahamna, Stéfan Darmoni, Soualmia, Lina F, Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Equipe Traitement de l'information en Biologie Santé (TIBS - LITIS), and Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie)

Subjects
[INFO]Computer Science [cs], [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2016

39. InfoRoute: the CISMeF Context-specific Search Algorithm

Author

Merabti, Tayeb, Lelong, Romain, Darmoni, Stefan, Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Equipe Traitement de l'information en Biologie Santé (TIBS - LITIS), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), and Soualmia, Lina F

Subjects
Vocabulary, Controlled, Data Mining, Electronic Health Records, [INFO]Computer Science [cs], Medical Record Linkage, [INFO] Computer Science [cs], Translating, Algorithms, Natural Language Processing
Abstract

The aim of this paper was to present a practical InfoRoute algorithm and applications developed by CISMeF to perform a contextual information retrieval across multiple medical websites in different health domains.The algorithm was developed to treat multiple types of queries: natural, Boolean and advanced. The algorithm also generates multiple types of queries: Boolean query, PubMed query or Advanced query. Each query can be extended via an inter alignments relationship from UMLS and HeTOP portal.A web service and two web applications have been developed based on the InfoRoute algorithm to generate links-query across multiple websites, i.e.: "PubMed" or "ClinicalTrials.org".The InfoRoute algorithm is a useful tool to perform contextual information retrieval across multiple medical websites in both English and French.

Published
2015

41. Querying EHRs with a Semantic and Entity-Oriented Query Language.

Author

LELONG, Romain, SOUALMIA, Lina, DAHAMNA, Badisse, GRIFFON, Nicolas, and DARMONI, Stéfan J.

Abstract

While the digitization of medical documents has greatly expanded during the past decade, health information retrieval has become a great challenge to address many issues in medical research. Information retrieval in electronic health records (EHR) should also reduce the difficult tasks of manual information retrieval from records in paper format or computer. The aim of this article was to present the features of a semantic search engine implemented in EHRs. A flexible, scalable and entity-oriented query language tool is proposed. The program is designed to retrieve and visualize data which can support any Conceptual Data Model. The search engine deals with structured and unstructured data, for a sole patient from a caregiver perspective, and for a number of patients (e.g. epidemiology). Several types of queries on a test database containing 2,000 anonymized patients EHRs (i.e. approximately 200,000 records) were tested. These queries were able to accurately treat symbolic, textual, numerical and chronological data. [ABSTRACT FROM AUTHOR]

Published
2017
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42. Cover Picture: From Battery Manufacturing to Smart Grids: Towards a Metaverse for the Energy Sciences (Batteries & Supercaps 1/2023).

Author

Franco, Alejandro A., Loup‐Escande, Emilie, Loiseaux, Goran, Chotard, Jean‐Noël, Zapata‐Dominguez, Diana, Ciger, Jan, Leclere, Aubin, Denisart, Lucie, and Lelong, Romain

Subjects
SHARED virtual environments, BATTERY storage plants, DIGITAL twins, MIXED reality, VIRTUAL reality
Abstract

Batteries, digital twin, mixed reality, smart grid, virtual reality Keywords: batteries; digital twin; mixed reality; smart grid; virtual reality EN batteries digital twin mixed reality smart grid virtual reality 1 1 1 01/11/23 20230101 NES 230101 B The Front Cover b shows screenshots of the virtual reality digital twin of a battery pilot line developed by Franco et al. to engage students and the general public on battery manufacturing. [Extracted from the article]

Published
2023
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43. When Context Matters for Credible Measurement of Drug-Drug Interactions Based on Real-World Data.

Author

Lelong R, Dahamna B, Berthelot H, Duville W, Letord C, Grosjean J, and Duclos C

Subjects
Drug Interactions, Humans, Drug-Related Side Effects and Adverse Reactions prevention & control
Abstract

The frequency of potential drug-drug interactions (DDI) in published studies on real world data considerably varies due to the methodological framework. Contextualization of DDI has a proven effect in limiting false positives. In this paper, we experimented with the application of various DDIs contexts elements to see their impact on the frequency of potential DDIs measured on the same set of prescription data collected in EDSaN, the clinical data warehouse of Rouen University Hospital. Depending on the context applied, the frequency of daily prescriptions with potential DDI ranged from 0.89% to 3.90%. Substance-level analysis accounted for 48% of false positives because it did not account for some drug-related attributes. Consideration of the patient's context could eliminate up to an additional 29% of false positives.

Published
2022
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44. Assisting Data Retrieval with a Drug Knowledge Graph.

Author

Lelong R, Dahamna B, Leguillon R, Grosjean J, Letord C, Darmoni SJ, and Soualmia LF

Subjects
France, Humans, Information Storage and Retrieval, Knowledge, Pattern Recognition, Automated, Pharmaceutical Preparations
Abstract

The Normandy health data warehouse EDSaN integrates the medication orders from the University Hospital of Rouen (France). This study aims at describing the design and the evaluation of an information retrieval system founded on a complex and semantically augmented knowledge graph dedicated to EDSaN drugs' prescriptions. The system is intended to help the selection of drugs in the search process by health professionals. The manual evaluation of the relevance of the returned drugs showed encouraging results as expected. A deeper analysis in order to improve the ranking method is needed and will be performed in a future work.

Published
2022
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45. Word Embedding for French Natural Language in Healthcare: A Comparative Study.

Author

Dynomant E, Lelong R, Dahamna B, Massonnaud C, Kerdelhué G, Grosjean J, Canu S, and Darmoni S

Subjects
Deep Learning, Semantics, Language, Natural Language Processing
Abstract

Structuring raw medical documents with ontology mapping is now the next step for medical intelligence. Deep learning models take as input mathematically embedded information, such as encoded texts. To do so, word embedding methods can represent every word from a text as a fixed-length vector. A formal evaluation of three word embedding methods has been performed on raw medical documents. The data corresponds to more than 12M diverse documents produced in the Rouen hospital (drug prescriptions, discharge and surgery summaries, inter-services letters, etc.). Automatic and manual validation demonstrates that Word2Vec based on the skip-gram architecture had the best rate on three out of four accuracy tests. This model will now be used as the first layer of an AI-based semantic annotator.

Published
2019
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46. Retrieving Clinical and Omic Data from Electronic Health Records.

Author

Cabot C, Lelong R, Grosjean J, Soualmia LF, and Darmoni SJ

Subjects
Systems Integration, User-Computer Interface, Biological Ontologies organization & administration, Data Mining methods, Databases, Genetic, Electronic Health Records organization & administration, Medical Record Linkage methods, Natural Language Processing
Published
2016

47. InfoRoute: the CISMeF Context-specific Search Algorithm.

Author

Merabti T, Lelong R, and Darmoni S

Subjects
Translating, Algorithms, Data Mining methods, Electronic Health Records classification, Medical Record Linkage methods, Natural Language Processing, Vocabulary, Controlled
Abstract

Objective: The aim of this paper was to present a practical InfoRoute algorithm and applications developed by CISMeF to perform a contextual information retrieval across multiple medical websites in different health domains., Methods: The algorithm was developed to treat multiple types of queries: natural, Boolean and advanced. The algorithm also generates multiple types of queries: Boolean query, PubMed query or Advanced query. Each query can be extended via an inter alignments relationship from UMLS and HeTOP portal., Results: A web service and two web applications have been developed based on the InfoRoute algorithm to generate links-query across multiple websites, i.e.: "PubMed" or "ClinicalTrials.org"., Conclusion: The InfoRoute algorithm is a useful tool to perform contextual information retrieval across multiple medical websites in both English and French.

Published
2015

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