Abstract: Data processing methods facilitate an exchange, between healthcare providers and patients or other users, of structured data for objective health signs and subjective symptoms from the patient or caregiver during a pre-visit and/or follow-up period of care; standardized data-informed Loop protocols for following health conditions; data-informed ARC OF RECOVERY 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.