Biomedical subjects

Christelle Despont-Gros

Publications and source records attributed to Christelle Despont-Gros.

5 recordsLinked to original sources

PubMed2006

Acceptance and cognitive load in a clinical setting of a novel device allowing natural real-time data acquisition.

INTRODUCTION: This paper reports the findings of an evaluation study in the field of human-computer interaction about the use of a new data acquisition device, the digital pen. It focuses on specific aspects of the interaction between the users and the technology: the cognitive burden induced by the design of the tool in real conditions of use and its impact on user acceptance. METHODOLOGY: Human cognition is embedded in a complex sociocultural world. Therefore, we opted for ethnographically informed investigations reinforced by a satisfaction survey. The work context chosen for these investigations was the emergency room triage process. RESULTS: The technology meets a high acceptance (median 3 on a [-5,5] scale) shaded by unexpected additional cognitive burdens. These burdens originate in several technological and ergonomic flaws that have been discovered during the observations. These results have been used to improve the technology. CONCLUSION: We demonstrate the importance of this kind of field study to uncover unexpected possible sources of failure of acceptance of a new technology. Such kind of study should be held prior to the introduction of a new technology to lower the common failure rate encountered in the field of medical informatics.

Attitude to Computers↗

PubMed2005

Methodology to ease the construction of a terminology of problems.

INTRODUCTION: Problem lists summarize an aspect of the patient's medical history and provide an important way to implement entry points for clinical pathways and guideline-oriented care. However, in order to automate processes based on problem lists, the use of controlled vocabularies is required. We developed a methodology to extract a collection of standardized problem-related terms from medical documents entered in free text by physicians. METHODS: We extracted a corpus of sentences describing problems from a randomized selection of admission notes collected at the University Hospitals of Geneva. Theses sentences underwent manual and automatic normalization processes, and a statistical clustering, in order to build a set of terms. RESULTS: We obtained 17,805 sentences from 5000 admission notes. We refined them into 1546 terms, 88.6% of which could be related to a relevant problem statement. DISCUSSION: A clinically relevant problems terminology was derived from clinical admission notes in free-text using a few methodical steps with a reasonable investment of human resources. Such an approach will ease the development and the use of problem lists better suited to user needs.

Medical Records, Problem-Oriented↗

PubMed2005

Evaluating user interactions with clinical information systems: a model based on human-computer interaction models.

OBJECTIVES: This article proposes a model for dimensions involved in user evaluation of clinical information systems (CIS). The model links the dimensions in traditional CIS evaluation and the dimensions from the human-computer interaction (HCI) perspective. PROPOSED METHOD: In this article, variables are defined as the properties measured in an evaluation, and dimensions are defined as the factors contributing to the values of the measured variables. The proposed model is based on a two-step methodology with: (1) a general review of information systems (IS) evaluations to highlight studied variables, existing models and frameworks, and (2) a review of HCI literature to provide the theoretical basis to key dimensions of user evaluation. RESULTS: The review of literature led to the identification of eight key variables, among which satisfaction, acceptance, and success were found to be the most referenced. DISCUSSION: Among those variables, IS acceptance is a relevant candidate to reflect user evaluation of CIS. While their goals are similar, the fields of traditional CIS evaluation, and HCI are not closely connected. Combining those two fields allows for the development of an integrated model which provides a model for summative and comprehensive user evaluation of CIS. All dimensions identified in existing studies can be linked to this model and such an integrated model could provide a new perspective to compare investigations of different CIS systems.

Attitude to Computers↗

PubMed2005

The digital pen and paper technology: implementation and use in an existing clinical information system.

OBJECTIVE: Evaluation of the technical feasibility of tight integration of the digital pen and paper technology in an existing computerized patient record.Technology: The digital pen is a normal pen able to record all actions of the user and to analyze a micro pattern printed on the paper. The digital paper is a normal paper printed with an almost invisible micro pattern of small dots encoding information such as position and identifiers. We report our experience in the implementation and the use of this technology in an existing large clinical information system for acquiring clinical information. DISCUSSION: It is possible to print uniquely identified forms using the digital paper technology. These forms can be pre-filled with clinical readable information about the patient. When care providers complete these forms using the digital pen, it is possible to acquire the data in a structured computerized patient record. The technology is easy to integrate in a component-based architecture based on Web Services. CONCLUSION: The digital pen and paper is a cost-effective technology that can be integrated in an existing clinical information system and allows fast and easy bedside clinical information acquisition without the need for an expensive infrastructure based on traditional portable devices or wireless devices.

Humans↗

PubMed2004

User acceptance of clinical information systems: a methodological approach to identify the key dimensions allowing a reliable evaluation framework.

The introduction of Computerized Information Systems (CIS) in clinical settings encountered difficulties. These difficulties highlight the lack of understanding of factors and mechanisms influencing user acceptance. The existing tools and research obtained contradictory results that point out the existence of neglected aspects, such as impacts of CIS, in computer science developments in complex settings. This paper proposes to identify key dimensions which make up user acceptance in clinical settings through the union of three methods. They define five main dimensions which require a concrete evaluation to validate the underlying proposed framework and to complete the description of the acceptance phenomenon. Identifying key dimensions opens the gate to comparative evaluation of many CIS and adds new indicators to evaluate the highlighted dimensions. A long-term aim is the development of longitudinal studies and to state priorities and guidelines for new CIS designs.

Attitude to Computers↗