Reality check
™
for healthcare AI
Reality.check for Healthcare AI
Introducing Reality.check™— the symbol that marks the most accurate AI
Being part of the Reality.check™ program means a healthcare AI model follows an expert-embedded approach—where the technology has been rigorously trained and continuously refined by practicing doctors. This verification process ensures these AI models aren't just technically impressive, but clinically trustworthy. It represents a commitment to excellence that stands in stark contrast to companies that employ purely technical approaches to clinical validation.
Accurate healthcare AI needs doctor expertise
The traditional approach:
Clinical data aggregation with algorithm optimization
CDA
Clinical data aggregate
with AI
Low integrity data
Algorithmic improvements
Many companies rely primarily on algorithmic improvements, technical methods, and readily available data to reduce errors in healthcare AI only—trusting that better tech and available data alone will eventually achieve clinical reliability. Technical solutions may appear impressive on paper but fail to achieve the clinical trustworthiness necessary for high-stakes medical applications.
Without expert involvement
HealthBench avg. vendor aggregate score of tested models
0
90
OpenAI
Claude
Llama
0
90
OpenAI
Claude
Llama
0
90
OpenAI
Claude
Llama
05-May-2025
Automate.clinic based on OpenAI Data
Traditional approach
Data quality
Noisy datasets, improved by tech.
Data sources
Web content, public datasets, mixed-quality literature
Clinical reasoning
Statistical pattern recognition
Hallucination risk
Prone to generating plausible but incorrect information
Training efficiency
Relies solely on volume to overcome quality limitations
Transparency
Black-box output
Clinical safety
Safety assurance relies on detecting problems after development
Real-world readiness
Needs extensive tuning before clinical deployment
The Automate.clinic approach:
Data, tech, with expert creation and validation
Low integrity data
Expert + algo. improvements
Expert gold standards
Clinical data with AI + Doctor-in-the-Loop™
CDA+DL
Reality.check™ verified companies don't abandon the way they work but add integration of deep clinical expertise throughout their development and implementation processes. They recognize that doctor oversight, medical reasoning, and real-world clinical judgment cannot be matched by generic data-scraping and technical solutions alone. By embedding clinical intelligence throughout the AI lifecycle, these companies develop systems that augment and extend medical expertise.
With expert involvement
Experts across high-risk industries increase accuracy greatly
0
Accuracy increase 10-30% & higher
100%
0
10-30%+ accuracy
100%
0
10-30%+ accuracy
100%
Reported accuracy increases in legal, science, manufacturing, and healthcare
With Reality.check™
Data quality
Noisy datasets, improved by tech and reviewed by doctors.
Data sources
Web content, traditional datasets and doctor-created gold standards
Clinical reasoning
Statistical pattern recognition + structured clinical judgment
Hallucination risk
Expert review identifies and minimizes potential errors
Training efficiency
Adds high-signal data yield to existing data pool for better results
Transparency
Infused by source data with explainable clinical logic
Clinical safety
Safety built into development
Real-world readiness
Improvements with valid clinical data from day one
Good for care, and business
Improved care
When clinicians use accurate AI, they deliver better, safer care.
Wider adoption
Clear advantage over non-validated competitors
Risk reduction
Documented validation process mitigates legal risks
Regulation ready
Better positioned for FDA and regulatory requirements
Get the Reality.check™ seal
Reality.check
Reality.check
Automate.clinic
Automate.clinic
™
™
™
1283 hrs validation
Doctor-in-the-Loop
↘
When evaluating healthcare AI, Reality.check™ participation elevates technology offerings. Solutions that carry this mark deliver greater accuracy, enhanced safety, and improved clinical acceptance.
Contact us to implement technology solutions that reflect your commitment to excellence in patient care.
Stay focused on building great tech. Let us handle building a great medical team.
Book a consultation and get real physician input on your AI—this week.
Stay focused on building great tech. Let us handle building a great medical team.
Book a consultation and get real physician input on your AI—this week.
Stay focused on building great tech. Let us handle building a great medical team.
Book a consultation and get real physician input on your AI—this week.
Meet our Doctor-in-the-Loop™ infrastructure
Driven by data
Tailored interfaces promote surgically-accurate clinical flows
Operated by experts
Doctors who are mission-aligned, tech-savvy, and in the loop.
Informed by Rounds
AI-assisted clinical work to raise medical gold standards.
Backed by Faculty
Our peer community advances accuracy, oversight, and trust.
Meet our Doctor-in-the-Loop™ infrastructure
Driven by data
Tailored interfaces promote surgically-accurate clinical flows
Operated by experts
Doctors who are mission-aligned, tech-savvy, and in the loop.
Informed by Rounds
AI-assisted clinical work to raise medical gold standards.
Backed by Faculty
Our peer community advances accuracy, oversight, and trust.
The Doctor-in-the-Loop™ platform
Driven by data
Tailored interfaces promote surgically-accurate clinical flows
Operated by experts
Doctors who are mission-aligned, tech-savvy, and in the loop.
Informed by Rounds
AI-assisted clinical work to raise medical gold standards.
Backed by Faculty
Our peer community advances accuracy, oversight, and trust.
Reality check
™
for healthcare AI
Reality.check for Healthcare AI
Introducing Reality.check™— the symbol that marks the most accurate AI
Being part of the Reality.check™ program means a healthcare AI model follows an expert-embedded approach—where the technology has been rigorously trained and continuously refined by practicing doctors. This verification process ensures these AI models aren't just technically impressive, but clinically trustworthy. It represents a commitment to excellence that stands in stark contrast to companies that employ purely technical approaches to clinical validation.
Accurate healthcare AI needs doctor expertise
The traditional approach:
Clinical data aggregation with algorithm optimization
CDA
Clinical data aggregate
with AI
Low integrity data
Algorithmic improvements
Many companies rely primarily on algorithmic improvements, technical methods, and readily available data to reduce errors in healthcare AI only—trusting that better tech and available data alone will eventually achieve clinical reliability. Technical solutions may appear impressive on paper but fail to achieve the clinical trustworthiness necessary for high-stakes medical applications.
Without expert involvement
HealthBench avg. vendor aggregate score of tested models
0
90
OpenAI
Claude
Llama
0
90
OpenAI
Claude
Llama
0
90
OpenAI
Claude
Llama
05-May-2025
Automate.clinic based on OpenAI Data
Traditional approach
Data quality
Noisy datasets, improved by tech.
Data sources
Web content, public datasets, mixed-quality literature
Clinical reasoning
Statistical pattern recognition
Hallucination risk
Prone to generating plausible but incorrect information
Training efficiency
Relies solely on volume to overcome quality limitations
Transparency
Black-box output
Clinical safety
Safety assurance relies on detecting problems after development
Real-world readiness
Needs extensive tuning before clinical deployment
The Automate.clinic approach:
Data, tech, with expert creation and validation
Low integrity data
Expert + algo. improvements
Expert gold standards
Clinical data with AI + Doctor-in-the-Loop™
CDA+DL
Reality.check™ verified companies don't abandon the way they work but add integration of deep clinical expertise throughout their development and implementation processes. They recognize that doctor oversight, medical reasoning, and real-world clinical judgment cannot be matched by generic data-scraping and technical solutions alone. By embedding clinical intelligence throughout the AI lifecycle, these companies develop systems that augment and extend medical expertise.
With expert involvement
Experts across high-risk industries increase accuracy greatly
0
Accuracy increase 10-30% & higher
100%
0
10-30%+ accuracy
100%
0
10-30%+ accuracy
100%
Reported accuracy increases in legal, science, manufacturing, and healthcare
With Reality.check™
Data quality
Noisy datasets, improved by tech and reviewed by doctors.
Data sources
Web content, traditional datasets and doctor-created gold standards
Clinical reasoning
Statistical pattern recognition + structured clinical judgment
Hallucination risk
Expert review identifies and minimizes potential errors
Training efficiency
Adds high-signal data yield to existing data pool for better results
Transparency
Infused by source data with explainable clinical logic
Clinical safety
Safety built into development
Real-world readiness
Improvements with valid clinical data from day one
Good for care, and business
Improved care
When clinicians use accurate AI, they deliver better, safer care.
Wider adoption
Clear advantage over non-validated competitors
Risk reduction
Documented validation process mitigates legal risks
Regulation ready
Better positioned for FDA and regulatory requirements
Get the Reality.check™ seal
Reality.check
Reality.check
Automate.clinic
Automate.clinic
™
™
™
1283 hrs validation
Doctor-in-the-Loop
↘
When evaluating healthcare AI, Reality.check™ participation elevates technology offerings. Solutions that carry this mark deliver greater accuracy, enhanced safety, and improved clinical acceptance.
Contact us to implement technology solutions that reflect your commitment to excellence in patient care.
Stay focused on building great tech. Let us handle building a great medical team.
Book a consultation and get real physician input on your AI—this week.
Stay focused on building great tech. Let us handle building a great medical team.
Book a consultation and get real physician input on your AI—this week.
Stay focused on building great tech. Let us handle building a great medical team.
Book a consultation and get real physician input on your AI—this week.
Meet our Doctor-in-the-Loop™ infrastructure
Driven by data
Tailored interfaces promote surgically-accurate clinical flows
Operated by experts
Doctors who are mission-aligned, tech-savvy, and in the loop.
Informed by Rounds
AI-assisted clinical work to raise medical gold standards.
Backed by Faculty
Our peer community advances accuracy, oversight, and trust.
Meet our Doctor-in-the-Loop™ infrastructure
Driven by data
Tailored interfaces promote surgically-accurate clinical flows
Operated by experts
Doctors who are mission-aligned, tech-savvy, and in the loop.
Informed by Rounds
AI-assisted clinical work to raise medical gold standards.
Backed by Faculty
Our peer community advances accuracy, oversight, and trust.
The Doctor-in-the-Loop™ platform
Driven by data
Tailored interfaces promote surgically-accurate clinical flows
Operated by experts
Doctors who are mission-aligned, tech-savvy, and in the loop.
Informed by Rounds
AI-assisted clinical work to raise medical gold standards.
Backed by Faculty
Our peer community advances accuracy, oversight, and trust.
Reality check
™
for healthcare AI
Reality.check for Healthcare AI
Introducing Reality.check™— the symbol that marks the most accurate AI
Being part of the Reality.check™ program means a healthcare AI model follows an expert-embedded approach—where the technology has been rigorously trained and continuously refined by practicing doctors. This verification process ensures these AI models aren't just technically impressive, but clinically trustworthy. It represents a commitment to excellence that stands in stark contrast to companies that employ purely technical approaches to clinical validation.
Accurate healthcare AI needs doctor expertise
The traditional approach:
Clinical data aggregation with algorithm optimization
CDA
Clinical data aggregate
with AI
Low integrity data
Algorithmic improvements
Many companies rely primarily on algorithmic improvements, technical methods, and readily available data to reduce errors in healthcare AI only—trusting that better tech and available data alone will eventually achieve clinical reliability. Technical solutions may appear impressive on paper but fail to achieve the clinical trustworthiness necessary for high-stakes medical applications.
Without expert involvement
HealthBench avg. vendor aggregate score of tested models
0
90
OpenAI
Claude
Llama
0
90
OpenAI
Claude
Llama
0
90
OpenAI
Claude
Llama
05-May-2025
Automate.clinic based on OpenAI Data
Traditional approach
Data quality
Noisy datasets, improved by tech.
Data sources
Web content, public datasets, mixed-quality literature
Clinical reasoning
Statistical pattern recognition
Hallucination risk
Prone to generating plausible but incorrect information
Training efficiency
Relies solely on volume to overcome quality limitations
Transparency
Black-box output
Clinical safety
Safety assurance relies on detecting problems after development
Real-world readiness
Needs extensive tuning before clinical deployment
The Automate.clinic approach:
Data, tech, with expert creation and validation
Low integrity data
Expert + algo. improvements
Expert gold standards
Clinical data with AI + Doctor-in-the-Loop™
CDA+DL
Reality.check™ verified companies don't abandon the way they work but add integration of deep clinical expertise throughout their development and implementation processes. They recognize that doctor oversight, medical reasoning, and real-world clinical judgment cannot be matched by generic data-scraping and technical solutions alone. By embedding clinical intelligence throughout the AI lifecycle, these companies develop systems that augment and extend medical expertise.
With expert involvement
Experts across high-risk industries increase accuracy greatly
0
Accuracy increase 10-30% & higher
100%
0
10-30%+ accuracy
100%
0
10-30%+ accuracy
100%
Reported accuracy increases in legal, science, manufacturing, and healthcare
With Reality.check™
Data quality
Noisy datasets, improved by tech and reviewed by doctors.
Data sources
Web content, traditional datasets and doctor-created gold standards
Clinical reasoning
Statistical pattern recognition + structured clinical judgment
Hallucination risk
Expert review identifies and minimizes potential errors
Training efficiency
Adds high-signal data yield to existing data pool for better results
Transparency
Infused by source data with explainable clinical logic
Clinical safety
Safety built into development
Real-world readiness
Improvements with valid clinical data from day one
Good for care, and business
Improved care
When clinicians use accurate AI, they deliver better, safer care.
Wider adoption
Clear advantage over non-validated competitors
Risk reduction
Documented validation process mitigates legal risks
Regulation ready
Better positioned for FDA and regulatory requirements
Get the Reality.check™ seal
Reality.check
Reality.check
Automate.clinic
Automate.clinic
™
™
™
1283 hrs validation
Doctor-in-the-Loop
↘
When evaluating healthcare AI, Reality.check™ participation elevates technology offerings. Solutions that carry this mark deliver greater accuracy, enhanced safety, and improved clinical acceptance.
Contact us to implement technology solutions that reflect your commitment to excellence in patient care.
Stay focused on building great tech. Let us handle building a great medical team.
Book a consultation and get real physician input on your AI—this week.
Stay focused on building great tech. Let us handle building a great medical team.
Book a consultation and get real physician input on your AI—this week.
Stay focused on building great tech. Let us handle building a great medical team.
Book a consultation and get real physician input on your AI—this week.
Meet our Doctor-in-the-Loop™ infrastructure
Driven by data
Tailored interfaces promote surgically-accurate clinical flows
Operated by experts
Doctors who are mission-aligned, tech-savvy, and in the loop.
Informed by Rounds
AI-assisted clinical work to raise medical gold standards.
Backed by Faculty
Our peer community advances accuracy, oversight, and trust.
Meet our Doctor-in-the-Loop™ infrastructure
Driven by data
Tailored interfaces promote surgically-accurate clinical flows
Operated by experts
Doctors who are mission-aligned, tech-savvy, and in the loop.
Informed by Rounds
AI-assisted clinical work to raise medical gold standards.
Backed by Faculty
Our peer community advances accuracy, oversight, and trust.
The Doctor-in-the-Loop™ platform
Driven by data
Tailored interfaces promote surgically-accurate clinical flows
Operated by experts
Doctors who are mission-aligned, tech-savvy, and in the loop.
Informed by Rounds
AI-assisted clinical work to raise medical gold standards.
Backed by Faculty
Our peer community advances accuracy, oversight, and trust.