Speech and Language Explanatory Case Study
Speech and Language Explanatory Case Study
Introduction
Broad Intent of Research
An analyzation of Electronic Health Reporting (EHR) interface design for Speech and Language Pathologists (SLP) by comparing two interface platforms, Therapy Corner and TheraSpeech.
Study Analyzation
How cognitive system engineering and usability methods can be used to construct EHR interface designs to minimize cognitive task load inhibitors.
Methodology
Three Stages of Research Approach
Qualitative Measurement
Implement analysis and measurement.
Interface Construction
Interface construction and usability methods to convert HTA functions into an interface design.
Functionality Assessment
Research into functions, tasks, and goals of SLPs.
Design and Procedures
- Made up of ten questions that alter between positive and negative tones, tonal switching prevents users from scoring in a biased manner and compels them to think about what the question is asking.
- Answers are in the form of a 5-point Likert Scale (1=highly do not agree, 5=highly agree).
- Provides sample scores for statistical measurement, in this case study a within-in subject paired t-test method is used.
Treatment of Data
- Decomposing tasks and goals result into HTA plans which are used towards hierarchically and procedurally presenting information.
- Allowing procedural knowledge to be captured using systems engineering methods in both tabular and hierarchical formats.
Results
- Level of confidence was 95%, or a significance level of .05 (α=.05).The
- The t-distribution graph region of acceptance is [-2.3646:2.3646] and the t-value equated to -3.67, which falls outside of the distribution region.
- The p-value equated to 0.007964, which is smaller than .05, therefore the null hypothesis is rejected.
- Higher Education Degree
- SLP Work Experience
- Experience with EHR Systems
Interface visual comparison
The displays show the differences between interface designs. Theraspeech’s design is not a full representation due to the amount of work involved in a complete website overhaul would require a significant amount of time and further analysis. The functions are set to allow a user to execute a set number of objectives in a controlled space.
Discussion
- Beginning with an understanding of the process and people
- Then the development of an interface model
- Finally assessing domain expert engagement
Recommendations
- Cognitive Work Analysis (CWA)
- work domain analysis
- control task analysis
- strategies analysis
- social organization
- cooperation analysis
- worker competencies analysis
- Systematic Human Error Reduction and Prediction Approach (SHERPA)
- Nielson’s 10 Heuristics analysis
- Link analysis
Conclusion
This explanatory case study analyzed two interfaces to measure the significance of applying HFI into SLP interface design with the ultimate goal of reducing task loads and decreasing errors. The application of cognitive system engineering to interface design can significantly improve SLPs’ EHR functions and be part of a larger HFI endeavor. As described by Bentley et al. (2021), Human Factors is a design discipline concerned with human work that involves systems, people, and machines to improve human performance and well-being. This research accomplishes these goals by providing an improved manner of designing human-machine interface EHR systems and improve the lives of SLPs and their patients.
Contact
Explanatory studies like this one can contribute to the improvement of engagement with clients and stakeholders. Lets connect on how I can help accomplish that.