Evaluating User Interfaces for Patient Data Entry
Author Information
Author(s): Matthew I Kim, Kevin B Johnson
Primary Institution: Johns Hopkins University School of Medicine
Hypothesis
Do different types of data entry methods employed by Personal Health Records impact the accuracy of patient-entered medical information?
Conclusion
Different types of data entry methods may affect the accuracy of patient-entered medical information, with guided entry methods leading to more accurate data.
Supporting Evidence
- Accuracy rates varied based on the complexity of the information requested.
- Guided entry methods led to more accurate data entry compared to free text entry.
- Participants were more likely to make spelling errors when entering information abstracted from clinic notes.
Takeaway
This study looked at how patients enter their medical information online and found that some ways of entering data are better than others for getting it right.
Methodology
Patients with thyroid disorders entered data into a web-based application using various data entry methods, and their entries were compared to confirmed medical records.
Potential Biases
Participants' familiarity with thyroid disorders may have led to an overestimation of the accuracy of data entry methods.
Limitations
The study's participants were primarily members of thyroid patient organizations, which may not represent the general population's familiarity with medical terminology.
Participant Demographics
Participants were patients with disorders requiring treatment with thyroid hormone preparations.
Statistical Information
P-Value
0.001
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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