This document provides a detailed specification for AugMend Health's VR-based behavioral health platform, integrating clinical requirements, technical specifications, and implementation guidance. The platform aims to address critical gaps in behavioral healthcare delivery for oncology and chronic pain patients while supporting clinical workflows and improving patient outcomes.
The system must establish a secure, bidirectional integration with electronic health record systems, particularly EPIC, as emphasized by Dr. Jessica Jackson and other healthcare providers interviewed. This integration should enable automated extraction of structured medical data while maintaining HIPAA compliance and data security protocols. The preliminary data collection process must be designed to minimize clinician workload, as providers typically see 15-30 patients daily across various specialties. The system should automatically parse and categorize incoming data according to predetermined clinical relevance criteria, with special attention to pain scores, symptom tracking, and treatment adherence metrics that inform behavioral health interventions. The system must also incorporate patient-specific cultural and demographic information to enable culturally responsive care, as emphasized by Dr. Jessica Jackson. This includes preferred language, cultural background, and any relevant cultural beliefs about health and treatment. The system should also track patient literacy levels to ensure communications are appropriately tailored to a 4th-5th grade reading level, as 50% of U.S. adults have limited health literacy. Additionally, the system needs to capture patient preferences for communication style and therapeutic approach, as this directly impacts engagement and outcomes in behavioral health interventions.
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Based on insights from pain specialists and oncologists, the system requires comprehensive medical history data including specific diagnosis details, treatment trajectories, and current medication protocols. For cancer patients, staging information and treatment response data are essential. For chronic pain patients, detailed pain histories including location, intensity, and temporal patterns must be captured. The system should collect both objective clinical measurements and patient-reported outcomes, while maintaining a structured format that allows for longitudinal tracking. This data serves dual purposes: informing the AI's interaction approach and providing clinicians with actionable insights that can be reviewed within a 5-minute window, as specified by multiple healthcare providers. If these data points are not present in the EHR they should be collected and asked about. These data points can help inform the behavior of the AI and make it more personable.
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Medical History
Recent Clinical Data