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Biomedical subjects

Melanie C Wright

Publications and source records attributed to Melanie C Wright.

4 recordsLinked to original sources

The use of high-fidelity human patient simulation as an evaluative tool in the development of clinical research protocols and procedures.

Errors in clinical research can be costly, in terms of patient safety, data integrity, and data collection. Data inaccuracy in early subjects of a clinical study may be associated with problems in the design of the protocol, procedures, and data collection tools. High-fidelity patient simulation centers provide an ideal environment to apply human-centered design to clinical trial development. A draft of a complex clinical protocol was designed, evaluated and modified using a high-fidelity human patient simulator in the Duke University Human Simulation and Patient Safety Center. The process included walk-throughs, detailed modifications of the protocol and development of procedural aids. Training of monitors and coordinators provided an opportunity for observation of performance that was used to identify further improvements to the protocol. Evaluative steps were used to design the research protocol and procedures. Iterative modifications were made to the protocol and data collection tools. The success in use of human simulation in the preparation of a complex clinical drug trial suggests the benefits of human patient simulation extend beyond training and medical equipment evaluation. Human patient simulation can provide a context for informal expert evaluation of clinical protocol design and for formal "rehearsal" to evaluate the efficacy of procedures and support tools.

Clinical Competence↗

Effects of automation of information-processing functions on teamwork.

We investigated the effects of automation as applied to different stages of information processing on team performance in a complex decision-making task. Forty teams of 2 individuals performed a simulated Theater Defense Task. Four automation conditions were simulated with computer assistance applied to realistic combinations of information acquisition, information analysis, and decision selection functions across two levels of task difficulty. Multiple measures of team effectiveness and team coordination were used. Results indicated different forms of automation have different effects on teamwork. Compared with a baseline condition, an increase in automation of information acquisition led to an increase in the ratio of information transferred to information requested; an increase in automation of information analysis resulted in higher team coordination ratings; and automation of decision selection led to better team effectiveness under low levels of task difficulty but at the cost of higher workload. The results support the use of early and intermediate forms of automation related to acquisition and analysis of information in the design of team tasks. Decision-making automation may provide benefits in more limited contexts. Applications of this research include the design and evaluation of automation in team environments.

Automation↗

Adaptive automation of human-machine system information-processing functions.

The goal of this research was to describe the ability of human operators to interact with adaptive automation (AA) applied to various stages of complex systems information processing, defined in a model of human-automation interaction. Forty participants operated a simulation of an air traffic control task. Automated assistance was adaptively applied to information acquisition, information analysis, decision making, and action implementation aspects of the task based on operator workload states, which were measured using a secondary task. The differential effects of the forms of automation were determined and compared with a manual control condition. Results of two 20-min trials of AA or manual control revealed a significant effect of the type of automation on performance, particularly during manual control periods as part of the adaptive conditions. Humans appear to better adapt to AA applied to sensory and psychomotor information-processing functions (action implementation) than to AA applied to cognitive functions (information analysis and decision making), and AA is superior to completely manual control. Potential applications of this research include the design of automation to support air traffic controller information processing.

Adult↗

Preliminary report on the use of high-fidelity simulation in the training of study coordinators conducting a clinical research protocol.

Training of health care research personnel is a critical component of quality assurance in clinical trials. Interactivity (such as simulation) is desirable compared with traditional methods of teaching. We hypothesized that the addition of an interactive simulation exercise to standard training methods would increase the confidence of study coordinators. A simulation exercise was developed to replicate a complex clinical trial. Eighteen study coordinators completed pre- and postexercise confidence questionnaires. Questions were targeted at key trial components using a 0-10 scale (not confident to confident) and were categorized using Bloom's Taxonomy. The primary analysis compared overall mean pre- and postexercise responses. Secondary analyses assessed affective, psychomotor, and cognitive confidence. Significance was at P < 0.05. A significant increase in overall confidence (8.64 versus 5.77; P < 0.0001) was reproduced in the subcategory analyses (affective, 8.24 versus 4.89; P < 0.0001; cognitive, 8.75 versus 6.42; P = 0.0003; psychomotor, 8.63 versus 5.26; P < 0.0001). A high level of internal consistency and reliability in question responses within domains was observed, validating the questionnaire tool. In this preliminary report, we confirmed that addition of a simulation exercise to the training of study coordinators resulted in increased confidence. Simulation exercises should be considered when training study coordinators for clinical research trials.

Adult↗