Does the acceptance of hybrid learning affect learning approaches in France?

Purpose: Acceptance of a learning technology affects students' intention to use that technology, but the influence of the acceptance of a learning technology on learning approaches has not been investigated in the literature. A deep learning approach is important in the field of health, where links must be created between skills, knowledge, and habits. Our hypothesis was that acceptance of a hybrid learning model would affect students' way of learning.

Using visual analytics for presenting comparative information on new drugs.

Objective: When a new drug is marketed, physicians must decide whether they will consider it for their future practice. However, information about new drugs can be biased or hard to find. In this work, our objective was to study whether visual analytics could be used for comparing drug properties such as contraindications and adverse effects, and whether this visual comparison can help physicians to forge their own well-founded opinions about a new drug.

Design of a Visual Interface for Comparing Antibiotics Using Rainbow Boxes.

Non-optimal prescriptions of antibiotics have a negative impact on patients and population. Clinical practice guidelines are not always followed by doctors because the rationale of the recommendations is not always clear and can be difficult to understand. In this paper, we propose a new approach consisting in presenting the properties of antibiotics for allowing doctors to compare them and choose the most appropriate one.

Parallel Design of Browsing Scheme and Data Model for Multi-Level Hierarchical Application Devoted to Management of Patient with Infectious Disease in Primary Care.

Many decision systems are based on a hierarchical approach, enriching the known context used to finally choose the right potential action. Designing the scheme for browsing the clinical guidelines is a task devoted to expert in infectious diseases. Designing the data model is a task devoted to the expert in data modeling.

Abstractive Summarization of Drug Dosage Regimens for Supporting Drug Comparison.

Complicated dosage regimens often reduce adherence to drug treatments. The ease-of-administration must thus be taken into account when prescribing. Given one drug, there exists often several dosage regimens.

Design and evaluation of a software for the objective and easy-to-read presentation of new drug properties to physicians.

Background: When new pharmaceutical products appear on the market, physicians need to know whether they are likely to be useful in their practices. Physicians currently obtain most of their information about the market release and properties of new drugs from pharmaceutical industry representatives. However, the official information contained in the summary of product characteristics (SPCs) and evaluation reports from health agencies, provide a more complete view of the potential value of new drugs, although they can be long and difficult to read.

PyMedTermino: an open-source generic API for advanced terminology services.

The integration of terminologies is still a challenging problem in medical informatics research and software applications, due to the high number of heterogeneous terminologies. In this paper, we present a generic API (Application Programming Interface) for a multi-terminology multilingual terminology service, and PyMedTermino, its open-source implementation in Python with 5 terminological resources (ICD10, SNOMED CT, MedDRA, CDF, VCM iconic language) and the UMLS compendium. This service has been designed for research and educational purpose.

Using an iconic language to improve access to electronic medical records in general medicine.

Physicians have difficulties to access and analyse information in a medical record. In a previous work on drug databanks, we have shown that with an iconic language as VCM, an icon-based presentation can help physicians to access medical information. Our objective, herein, is to study whether VCM can be used in an electronic medical record for facilitating physician access in general practice.

Towards evidence-based CDSSs implementing the medical reasoning contained in CPGs: application to antibiotic prescription.

Unlabelled: Clinical practice guidelines (CPGs) are documents giving recommendations based on expert reasoning, weighing up the pros and cons of treatments on the basis of the available evidence. We propose a new approach to the construction of clinical decision support systems (CDSS), making use of the evidence-based medical reasoning used by experts in CPGs. In this study, we determined whether this approach could retrieve the recommendations for antibiotic prescription for empirical treatment in primary care.

Improving access to clinical practice guidelines with an interactive graphical interface using an iconic language.

Background: Clinical practice guidelines are useful for physicians, and guidelines are available on the Internet from various websites such as Vidal Recos. However, these guidelines are long and difficult to read, especially during consultation. Similar difficulties have been encountered with drug summaries of product characteristics.

Design and usability study of an iconic user interface to ease information retrieval of medical guidelines.

Background And Objective: Doc'CISMeF (DC) is a semantic search engine used to find resources in CISMeF-BP, a quality controlled health gateway, which gathers guidelines available on the internet in French. Visualization of Concepts in Medicine (VCM) is an iconic language that may ease information retrieval tasks. This study aimed to describe the creation and evaluation of an interface integrating VCM in DC in order to make this search engine much easier to use.

Evaluating alignment quality between iconic language and reference terminologies using similarity metrics.

Background: Visualization of Concepts in Medicine (VCM) is a compositional iconic language that aims to ease information retrieval in Electronic Health Records (EHR), clinical guidelines or other medical documents. Using VCM language in medical applications requires alignment with medical reference terminologies. Alignment from Medical Subject Headings (MeSH) thesaurus and International Classification of Diseases - tenth revision (ICD10) to VCM are presented here.

Comparison of two kinds of interface, based on guided navigation or usability principles, for improving the adoption of computerized decision support systems: application to the prescription of antibiotics.

Context: It is important to consider the way in which information is presented by the interfaces of clinical decision support systems, to favor the adoption of these systems by physicians. Interface design can focus on decision processes (guided navigation) or usability principles.

Objective: The aim of this study was to compare these two approaches in terms of perceived usability, accuracy rate, and confidence in the system.

A guideline-derived model to facilitate the implementation of test-ordering rules within a hospital information system.

The culture of evidence-based practice includes also the field of laboratory medicine. Clinical laboratory expenditure is growing rapidly for various reasons including increased utilization. Delivering decision support to requesters at the point of care is one of the main incentives for implementing laboratory guidelines.

A semi-automatic semantic method for mapping SNOMED CT concepts to VCM Icons.

VCM (Visualization of Concept in Medicine) is an iconic language for representing key medical concepts by icons. However, the use of this language with reference terminologies, such as SNOMED CT, will require the mapping of its icons to the terms of these terminologies. Here, we present and evaluate a semi-automatic semantic method for the mapping of SNOMED CT concepts to VCM icons.

Comparing the use of SNOMED CT and ICD10 for coding clinical conditions to implement laboratory guidelines.

Laboratory medicine is responsible for an important part of hospital expenditure. Providing appropriate decision support to laboratory test requesters at the point of care is one of the main incentives for implementing laboratory guidelines, which can improve medical care. Laboratory guidelines developed by local experts in the Parisian region and two national guidelines for dyslipidemia were analyzed to extract test ordering recommendations.

Designing concept maps for a precise and objective description of pharmaceutical innovations.

Background: When a new drug is launched onto the market, information about the new manufactured product is contained in its monograph and evaluation report published by national drug agencies. Health professionals need to be able to determine rapidly and easily whether the new manufactured product is potentially useful for their practice. There is therefore a need to identify the best way to group together and visualize the main items of information describing the nature and potential impact of the new drug.

Validating the semantics of a medical iconic language using ontological reasoning.

To help clinicians read medical texts such as clinical practice guidelines or drug monographs, we proposed an iconic language called VCM. This language can use icons to represent the main medical concepts, including diseases, symptoms, treatments and follow-up procedures, by combining various pictograms, shapes and colors. However, the semantics of this language have not been formalized, and users may create inconsistent icons, e.

Design of an original interface that facilitates the use of clinical practice guidelines of infection by physicians in primary care.

Increasing physician adherence to the clinical practice guidelines (CPG) for infections should improve antibiotic prescription practices. The aim of this study was to present the decision elements of these CPG in an original interface to be implemented in the website "Antibiocarte". We manually analyzed all CPG available for ambulatory treatment of infections.

Facilitating access to laboratory guidelines by modeling their contents and designing a computerized user interface.

Laboratory tests are not always prescribed appropriately. Guidelines for some important laboratory tests have been developed by expert panels in the Parisian region to maximize the appropriateness of laboratory medicine. However; these recommendations are not frequently consulted by physicians and nurses.

A generic system for critiquing physicians' prescriptions: usability, satisfaction and lessons learnt.

Clinical decision support systems have been developed to help physicians to take clinical guidelines into account during consultations. The ASTI critiquing module is one such systems; it provides the physician with automatic criticisms when a drug prescription does not follow the guidelines. It was initially developed for hypertension and type 2 diabetes, but is designed to be generic enough for application to all chronic diseases.

Towards iconic language for patient records, drug monographs, guidelines and medical search engines.

Practicing physicians have limited time for consulting medical knowledge and records. We have previously shown that using icons instead of text to present drug monographs may allow contraindications and adverse effects to be identified more rapidly and more accurately. These findings were based on the use of an iconic language designed for drug knowledge, providing icons for many medical concepts, including diseases, antecedents, drug classes and tests.

How to translate therapeutic recommendations in clinical practice guidelines into rules for critiquing physician prescriptions? Methods and application to five guidelines.

Background: Clinical practice guidelines give recommendations about what to do in various medical situations, including therapeutical recommendations for drug prescription. An effective way to computerize these recommendations is to design critiquing decision support systems, i.e.

Using data mining techniques to explore physicians' therapeutic decisions when clinical guidelines do not provide recommendations: methods and example for type 2 diabetes.

Background: Clinical guidelines carry medical evidence to the point of practice. As evidence is not always available, many guidelines do not provide recommendations for all clinical situations encountered in practice. We propose an approach for identifying knowledge gaps in guidelines and for exploring physicians' therapeutic decisions with data mining techniques to fill these knowledge gaps.

A novel method for measuring patients' adherence to insulin dosing guidelines: introducing indicators of adherence.

Background: Diabetic type 1 patients are often advised to use dose adjustment guidelines to calculate their doses of insulin. Conventional methods of measuring patients' adherence are not applicable to these cases, because insulin doses are not determined in advance. We propose a method and a number of indicators to measure patients' conformance to these insulin dosing guidelines.