HelpAI Executive Summary
HelpAI is a clinical workflow augmentation platform that provides the missing clinical infrastructure needed to support Surgical Population Management (SPM). By transforming fragmented longitudinal clinical information into structured, clinically relevant insights, HelpAI
strengthens preprocedural workflows across the continuum of procedural care.
The platform acquires electronic medical records through health information exchanges and synthesizes them into comprehensive preprocedural medical evaluations with individualized recommendations for procedural readiness, patient optimization, care coordination, and site-of service selection. These recommendations are generated using deterministic, evidence-based clinical algorithms informed by the evaluation of more than 150,000 procedural patients.
Artificial intelligence serves as the enabling technology, while clinician oversight, independent medical judgment, and physician accountability remain integral to every evaluation.
Augmented Clinical Workflow. Clinician Accountability.
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HelpAI autonomously acquires and reconciles fragmented clinical information from multiple sources, transforming it into comprehensive preprocedural medical evaluations with individualized recommendations that support procedural readiness, patient optimization, care coordination, and site-of-service selection. These evaluations streamline clinician review and support informed medical decision making while preserving independent clinical judgment.
The Problem
Procedural care remains one of the largest and most operationally fragmented areas in healthcare, accounting for an estimated 30% of total U.S. healthcare spending.
Despite its scale and financial impact, preprocedural workflows often remain inconsistent, reactive, and poorly coordinated. Clinically relevant information is frequently fragmented across multiple systems, resulting in incomplete records, redundant testing, unnecessary referrals, delays, and day-of-procedure cancellations.
This variability creates operational inefficiency, increases costs, and places unnecessary burdens on providers, payers, and patients. As procedural care continues to grow in complexity, healthcare organizations require a more standardized, clinically driven approach to patient optimization, care coordination, procedural readiness, and site-of-service decision making.
The absence of scalable clinical infrastructure to support these workflows has created a critical gap in the delivery of procedural care.
The Solution
HelpAI provides the clinical infrastructure needed to support Surgical Population Management by transforming fragmented longitudinal clinical information into comprehensive preprocedural medical evaluations with individualized clinical recommendations.
The platform autonomously acquires and synthesizes electronic medical records from health information exchanges, generating standardized preprocedural medical evaluations that support patient optimization, procedural readiness, care coordination, site-of-service selection, and efficient clinician review before the day of procedure.
Clinician Oversight Remains Central
HelpAI augments clinical workflows by acquiring, reconciling, and synthesizing longitudinal clinical information into comprehensive preprocedural medical evaluations with individualized, evidence-based clinical recommendations.
Licensed clinicians review every evaluation, validate the underlying clinical information, apply independent medical judgment, and make the final medical decisions regarding patient optimization, procedural readiness, and individualized clinical recommendations.
Built Around Established Standards of Care
Professional standards expect clinicians to review the available medical record before procedural and anesthesia care is delivered.
In today’s healthcare environment, clinically relevant information is often fragmented across hospitals, physician practices, specialists, pharmacies, and health information exchanges, making comprehensive record review both difficult and time consuming.
HelpAI addresses this challenge by acquiring, reconciling, and synthesizing longitudinal clinical information into standardized preprocedural medical evaluations that support patient risk assessment, optimization, procedural readiness, care coordination, and efficient clinician review.
Augmented Clinical Workflow. Clinician Accountability.
How Help AI Fits Into The Surgical Timeline
Results & Impact
For Health Plans & Employers
• Standardized preprocedural medical evaluations across procedural populations
• Earlier visibility into procedural readiness and patient optimization
• More consistent, clinically informed site-of-service recommendations
• Improved care coordination across the procedural continuum
• Reduced avoidable procedural costs through standardized workflows
• Better alignment among health plans, employers, clinicians, and procedural facilities
For Health Systems & Procedural Facilities
• Standardized preprocedural medical evaluations before the day of procedure
• Fewer delays and day-of-procedure cancellations
• Improved procedural schedule reliability and resource utilization
• Reduced administrative burden associated with record acquisition and clinical
preparation
• Stronger coordination across surgical, anesthesia, and medical teams
• Greater operational efficiency through standardized workflows
For Clinicians
• Comprehensive preprocedural medical evaluations informed by longitudinal clinical
information
• Less time acquiring, reconciling, and reviewing fragmented medical records
• Individualized recommendations that support patient optimization and procedural
readiness
• Improved visibility into patient risk, medications, and optimization opportunities
• More consistent evaluations while preserving independent medical judgment
• More efficient workflows across the procedural care team
For Patients
• A simpler, more coordinated preprocedural experience
• Fewer unnecessary appointments, referrals, and duplicate testing
• Earlier identification of opportunities for medical optimization
• Improved communication and patient guidance before the day of procedure
• More personalized care planning
• Greater confidence throughout the procedural journey
Clinical & Operational Impact
• Clinical algorithms informed by the evaluation of more than 150,000 procedural patients
• Less than 1% reported day-of-procedure cancellation rate in prior implementation models
• Approximately 60% reduction in new preprocedural testing in prior implementation
models
• More consistent procedural readiness across procedural populations
• Improved coordination and operational efficiency before the day of procedure
Augmented Clinical Workflow. Clinician Accountability.