SOAP Health

by SOAP Health  · Based in United Kingdom → — The Ideal Medical AI Assistant™
Family Medicine Hospital Medicine Internal Medicine

Overview

SOAP Health is an AI-powered patient and physician-facing interface designed to integrate with Electronic Health Records (EHRs) to enhance data collection, risk and symptom assessment, and diagnosis. The company’s mission is to improve early disease detection and diagnosis, aiming to reduce diagnostic errors that lead to significant health and financial burdens. Founded in 2019, SOAP Health leverages conversational and generative AI to streamline patient intake, augment risk and symptom assessment, and automate SOAP note charting.

The platform features a patented and clinically validated digital human called the “Perfect Medical Interviewer” that uses 100% voice-based interactions and intuitive visuals to gather comprehensive patient data. This includes detailed medical histories, family histories (building a 3-generation family tree in about 3 minutes), mental health history, and social determinants of health. SOAP Health also offers RiskVue™ for comprehensive patient risk assessment, SOAP Wellness Visit™ for Medicare compliance, SOAP DX™ for differential diagnosis generation, and SOAP CarePlan™ for follow-up recommendations and treatment options. The Smart SOAP Note™ transforms workflow by organizing patient data into an easy-to-review, color-coded format that seamlessly integrates into EHRs.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered Perfect Medical Intervieweru2122 (voice-based, digital human)
  • EHR integration (Athenahealth, expanding to others)
  • RiskVueu2122 (comprehensive health risk assessment)
  • SOAP Wellness Visitu2122 (Medicare compliance)
  • SOAP DXu2122 (differential diagnosis with probability and explanations)
  • SOAP CarePlanu2122 (targeted follow-up and treatment recommendations)
  • Smart SOAP Noteu2122 (AI-generated, color-coded, EHR-integrated SOAP notes)
  • Automated patient data collection (85-99% of clinical encounter)
  • Reduced documentation time (66% reduction in data entry)
  • Early disease risk detection (cancers, heart diseases, T2D, autoimmune diseases)

Use Cases

  • Improving diagnostic accuracy and early disease detection
  • Streamlining patient intake and data collection
  • Reducing physician administrative burden and burnout
  • Enhancing patient engagement and data accuracy through conversational AI
  • Optimizing Medicare Annual Wellness Visits
  • Supporting clinical decision-making with comprehensive risk and symptom assessment

What Physicians Need to Know

Evidence Base
SOAP Health leverages AI to analyze vast amounts of patient data, identify potential health risks, and provide comprehensive risk assessments. Its ClinicalAIu2122 module improves early disease risk detection and diagnosis.
Clinical Validation Studies
SOAP Health's 'Ideal Medical AI Assistantu2122' is patented and clinically validated. Testimonials from physician leaders at Stanford Medicine and Harvard highlight its potential for integrating genetic risk assessment into general medical practice and improving healthcare outcomes while reducing physician workload.
Alert Fatigue Management
While specific details on alert fatigue management within SOAP Health are not explicitly provided, clinical decision support systems generally aim to reduce alert fatigue by increasing alert specificity, tailoring alerts to patient characteristics, tiering alerts by severity, and eliminating clinically inconsequential alerts.
Differential Diagnosis Support
SOAP DXu2122 generates a differential diagnosis with probabilities, explanations, and source information based on patient intake and medical record information. The Smart SOAP Noteu2122 also includes a highly accurate differential diagnosis.
Clinical Workflow Integration
SOAP Health is designed for EHR integration, aiming to reduce collection and data entry time by 66% by integrating the Smart SOAP Noteu2122 into EHR systems like AthenaHealth. It also integrates with solutions like AESOP's DxPrime and DeepDRG, and Dolbey Fusion Narrateu2122, allowing seamless integration into over 100 EMRs. The platform is designed to enhance and integrate patient intake, risk and symptom assessment, and SOAP note charting.
Decision Audit Trail
SOAP notes, as a standardized method of documentation, inherently support logging and audit trails. This structured approach ensures a clear, auditable record of patient encounters, aiding in risk management and compliance.
Physician Tip

Leverage SOAP Health's AI-powered 'Perfect Medical Intervieweru2122' for comprehensive patient data collection, which can save significant time on documentation (up to 85-99% of a clinical encounter). Utilize the 'SOAP DXu2122' for robust differential diagnosis support, including probabilities and explanations. The 'Smart SOAP Noteu2122' streamlines charting and integrates into your EHR, reducing administrative burden and freeing up cognitive space. The system's ability to identify key risks for conditions like cancers and heart diseases in a significant portion of patients can enhance preventive care.

SOAP Health is designed for seamless integration with Electronic Health Record (EHR) systems, including AthenaHealth, and through partnerships, aims to integrate with over 100 EMRs. This is achieved through its 'Smart SOAP Noteu2122' and collaborations with technologies like AESOP's DxPrime and DeepDRG, and Dolbey Fusion Narrateu2122. The platform's use of conversational and generative AI is intended to enhance and integrate patient intake, risk assessment, and SOAP note charting directly into existing clinical workflows.

Details

Category Clinical Decision Support & Reference, Patient Engagement & Education
Pricing Unknown — Free trial: 60-day upon signing
DeploymentCloud-based
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated

SOAP Health does not claim FDA clearance. While AI tools in healthcare are subject to regulatory oversight, specific FDA clearance for this type of AI-powered patient and physician-facing interface is not mentioned.

Integrations
EHR Not specified
Specialties Family Medicine, Hospital Medicine, Internal Medicine

What the Web Says

SOAP Health (formerly known as 'SOAP') is an AI-powered platform designed to enhance clinical intake and patient engagement. It aims to streamline the data collection process before a doctor's visit, providing physicians with comprehensive, pre-analyzed patient information to improve diagnostic accuracy and efficiency. Reviews suggest it's seen as an innovative tool for modernizing healthcare workflows.

Overall: Positive

Strengths

  • Improves efficiency of patient intake and data collection
  • Provides physicians with structured, pre-analyzed patient information
  • Aids in more accurate and timely diagnoses
  • Enhances patient engagement through interactive pre-visit tools
  • Reduces administrative burden on clinical staff
  • Potential to improve patient outcomes and reduce healthcare costs

Limitations

  • Relatively new company, so long-term impact and widespread adoption are still being evaluated
  • Integration challenges with existing, potentially outdated EHR systems
  • Reliance on patient input, which may still have inaccuracies or omissions
  • Potential for 'alert fatigue' if not properly configured or if too much data is presented
  • Data privacy and security concerns, as with any health tech platform handling sensitive information
  • Cost of implementation and subscription for smaller practices or hospitals

Based on reviews from: Healthcare IT News, TechCrunch, Forbes, G2, Capterra, Reddit (limited discussions), Physician blogs and forums (e.g., Sermo, Doximity - general sentiment, not direct reviews)

Last updated: 2026-10-01

Ratings & Reviews

No reviews yet. Be the first to review this tool!

Rate SOAP Health

Clinical Value
Ease of Use
Integration
Support & Docs
Value for Money
No press coverage or publications on file yet. Know of some? Suggest an edit →

Videos

Product demos, reviews, and walkthroughs for SOAP Health.

Loading videos...

View all on YouTube

No FAQs available yet for this tool.

Related Tools

SureMediks ProView
SureMediks (Rasimo Systems, LLC)
Clinical Decision Support & Reference
SureMediks is an AI-powered clinical decision support and metabolic health platform that automates care workflows for specialists, providing AI-generated patient summaries, automated chart review, and real-time biometric alerts.
KATE AI
Mednition
Clinical Decision Support & Reference
KATE AI is a nurse-built clinical decision support tool for emergency departments that analyzes incoming patients in real-time to flag high-risk cases that standard acuity scoring might miss. It has supported over 5,000,000 patient visits, helping emergency teams deliver safer, faster, and more informed care.
MCG Health
MCG Health
Clinical Decision Support & Reference
MCG Health provides industry-leading evidence-based guidance and technologies to optimize health outcomes, drive operational efficiency, and achieve cost savings. Their solutions are utilized by thousands of hospitals, a majority of U.S. health plans, and various government health programs.
i2i Population Health
Azara Healthcare
Clinical Decision Support & Reference
Azara Healthcare, having acquired i2i Population Health, provides a population health management platform that integrates diverse data sources to enhance care coordination, quality management, and analytics for healthcare providers.
IVA (Intelligent Voice AI)
IVAI
Clinical Decision Support & Reference
IVA (Intelligent Voice AI) by IVAI offers ambient listening and automated medical scribing for healthcare, integrating with EHRs like Epic to enhance documentation, compliance, and operational efficiency.
Agentforce for Healthcare
Salesforce
Clinical Decision Support & Reference
Salesforce Agentforce for Healthcare leverages AI to optimize revenue cycle management and enhance operational efficiency for healthcare organizations, supporting care teams and integrating with major EHRs.

See all Clinical Decision Support & Reference tools →

Suggest an Edit → | Last Verified: 2026-09-30 | First Added: 2026-09-30
AI Tool Finder
AI-powered search. Results may not be comprehensive.