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Each tree node corresponds to a "clause" which reports a medical line of questioning. The answer/finding for a clause can be collected using field types such as edit box, drop down list, check box, formula fields, time stamps etc.
Each "clause" can have a default sentence and/or a user defined sentence template. The sentence template is a complete sentence paragraph with embedded "macros" that are substituted with data collected.
Data capture is internally structured as decision trees. A set of pre-defined "macros" are available for ready use in the sentence, e.g., Patient Name, Gender, Age, Ref. Physicians, etc.
Once data collection is complete, the proper sentences are automatically generated by using the Panacea Macro Processor Language. A set of rules is available to bubble up sentences from the bottom tree node ("clause") to the root level ("section").



Each tree node corresponds to a "clause" which reports a medical line of questioning. The answer/finding for a clause can be collected using field types such as edit box, drop down list, check box, formula fields, time stamps etc. Each "clause" can have a default sentence and/or a user defined sentence template. The sentence template is a complete sentence paragraph with embedded "macros" that are substituted with data collected. Data capture is internally structured as decision trees. A set of pre-defined "macros" are available for ready use in the sentence, e.g., Patient Name, Gender, Age, Ref. Physicians, etc. Once data collection is complete, the proper sentences are automatically generated by using the Panacea Macro Processor Language. A set of rules is available to bubble up sentences from the bottom tree node ("clause") to the root level ("section").