Data processing methods facilitate exchanges between healthcare providers and patients or others, of structured data for objective health signs and subjective symptoms during a pre visit or follow up period of care; standardized data informed Loop protocols for following health conditions; data informed profiles that represent population based recovery standards for signs, symptoms, or composites; automated alerts, based on analytics or machine learning, to warn health care providers regarding impending treatment failures or worsening of conditions. Patients in pre visit or follow up stages of healthcare respond to questions structured by a provider for objective signs and subjective symptoms, and may view questions and responses with associated alerts or status updates in a consolidated display that provides patient graphic images and comments about conditions. Aspects of pre visit or follow up care are Tracker historical graphical displays for evaluation by the physician against expected profiles, protocols or other standards.
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