Clinical intelligence,

captured.

Automate.clinic's platform, Vitals, serves as the missing link between powerful AI technology and clinical expertise, ensuring the tech is not just technically impressive but can be trusted, clinically. The platform transforms physician expertise into machine-readable intelligence through pre-labeling, error correction, gold-standard generation, red-teaming, and structured reasoning mapping—all within HIPAA-compliant, asynchronous workflows designed specifically for how doctors think and make decisions.

A+

Accuracy

Professional physician interface

Guided error validation

Physician peer review

Gold standard clinical flows

Structured data output

Professional physician interface

Guided error validation

Physician peer review

Gold standard clinical flows

Structured data output

Returned

Returned

Vitals

Vitals

Source

Source

Amazon S3/Google Cloud/
Azure/Redis/custom storage/

error logs/transcripts/
flagged output/raw data

Client AI

Client AI

Client AI

HIPAA / SOC2

HIPAA / SOC2

Say ‘hello’ to Vitals,
the Doctor-in-the-Loop™ platform.

Meet our platform,
Vitals

Vitals is where our doctors review your data, manage our work, and receive AI-powered assistance through Rounds. It's also where we connect with peers for second opinions and build community through collaborative case discussions.

Designed by doctors,

for doctors

Vitals isn’t a generic labeling tool—it’s purpose-built by doctors who understand what we actually want from our work. We know how doctors think, what we enjoy doing, and what we find soul-crushing. That’s why Vitals is designed to challenge, not bore. It supports real clinical reasoning, not mindless annotation.


Every feature of Vitals respects medical expertise—turning AI development into an intellectually engaging, high-impact opportunity. It’s work that feels meaningful, because it is. It’s in our DNA. And that matters—for doctors and for you. When we are truly engaged, the quality of our work soars.

The benefits of Vitals

1 Expert interfaces: Built to support clinical workflows and data structures

The most productive interface for your data structure promotes the most accurate training data. Here are some examples.

Healthcare chatbot

Physician AI inbox

Clinical summary

Vitals' custom-built interfaces accelerate expert analysis and boost doctor engagement, directly improving model accuracy. Through our platform, doctors efficiently identify and correct:​​​​​​​​​​​​​​​​

Factual errors and misreported findings

Factual errors and misreported findings

Factual errors and misreported findings

Unsafe or inappropriate recommendations

Unsafe or inappropriate recommendations

Unsafe or inappropriate recommendations

Fabricated “hallucinations”

Fabricated “hallucinations”

Fabricated “hallucinations”

Contextual misunderstandings

Contextual misunderstandings

Contextual misunderstandings

Bias, tone, and empathy mishaps

Bias, tone, and empathy mishaps

Bias, tone, and empathy mishaps

2 Rounds: AI-driven clinical dialogue

Rounds captures doctors’ diagnostic reasoning through interactive dialogues, generating structured data that trains AI models to think like experienced clinicians rather than simply recording final decisions.

Validate diagnostics errors & create gold standard

Validate diagnostics errors & create gold standard

Female, 38 with dizziness

Female, 38 with dizziness

Rounds

Rounds

I have access to the complete background of this case and would like to pick your brain.
This patient reports increasing orthostatic dizziness, fatigue, and elevated morning blood glucose (160-180). What key information would help determine if medication adjustment or an office visit is needed?

I have access to the complete background of this case and would like to pick your brain.
This patient reports increasing orthostatic dizziness, fatigue, and elevated morning blood glucose (160-180). What key information would help determine if medication adjustment or an office visit is needed?

Would need to know: current medications (especially those affecting BP), recent medication changes, BP readings, hydration status, and details about when dizziness occurs relative to meals.


Would need to know: current medications (especially those affecting BP), recent medication changes, BP readings, hydration status, and details about when dizziness occurs relative to meals.


Send

Send

Send

Send

To turn black-box AI into clinically grounded systems, Rounds provides background for problem cases, work analysis, and consistent data structures, such as:

Step-by-step diagnostic logic for structured data output

Step-by-step diagnostic logic for structured data output

Step-by-step diagnostic logic for structured data output

Differential diagnoses and alternatives

Differential diagnoses and alternatives

Differential diagnoses and alternatives

Decision trees and uncertainty management

Decision trees and uncertainty management

Decision trees and uncertainty management

Expert heuristics and shortcuts

Expert heuristics and shortcuts

Expert heuristics and shortcuts

3 Expertise: Training, reference, and look-up, built in

Our intuitive platform streamlines doctor onboarding with built-in AI guidance that surfaces relevant clinical guidelines and best practices, eliminating the need for extensive training while ensuring each doctor can immediately contribute high-quality work tailored to your specific project needs.​​​​​​​​​​​​​​​​

Representativeness bias

Representativeness bias

In a clinical AI context, this bias describes the tendency for systems to judge a patient’s condition based on how closely their symptoms match a “typical” presentation, rather than considering alternative diagnoses or the broader statistical likelihood of various conditions.

In a clinical AI context, this bias describes the tendency for systems to judge a patient’s condition based on how closely their symptoms match a “typical” presentation, rather than considering alternative diagnoses or the broader statistical likelihood of various conditions.

Representativeness bias

In a clinical AI context, this bias describes the tendency for systems to judge a patient’s condition based on how closely their symptoms match a “typical” presentation, rather than considering alternative diagnoses or the broader statistical likelihood of various conditions.

Analyze AI email & create response

Analyze AI email & create response

Female, 37 with headaches

Female, 37 with headaches

Bias analysis

Bias analysis

Demographic

Demographic

Representativeness

Representativeness

Availability

Availability

Anchoring

Anchoring

Sequencing

Sequencing

Base rate neglect

Base rate neglect

Premature closure

Premature closure

Framing

Framing

Confirmation

Confirmation

We’ve designed Automate.clinic to feel as natural as reviewing a chart. Doctors log in, review clinical data, and use powerful AI-assisted tools to refine and validate medical insights—asynchronously and securely.

Real-time clinical reference, built-in.

Real-time clinical reference, built-in.

Real-time clinical reference, built-in.

Doctors always know what to do next, thanks to a clean interface, embedded instructions, and real-time reference cues—all built into the workflow.

Doctors always know what to do next, thanks to a clean interface, embedded instructions, and real-time reference cues—all built into the workflow.

Doctors always know what to do next, thanks to a clean interface, embedded instructions, and real-time reference cues—all built into the workflow.

Doctors begin with intelligent draft notes or diagnoses generated by top-tier clinical LLMs—saving time and focusing judgment where it matters most

Doctors begin with intelligent draft notes or diagnoses generated by top-tier clinical LLMs—saving time and focusing judgment where it matters most

Doctors begin with intelligent draft notes or diagnoses generated by top-tier clinical LLMs—saving time and focusing judgment where it matters most

4 Faculty: for curbsides and second opinions

For complex cases, peer review is built in—so a second opinion from another expert is always just a click away.

Faculty helps our team with:

Efficient, flexible collaboration between doctors

Efficient, flexible collaboration between doctors

Efficient, flexible collaboration between doctors

Quick second opinions through async or live consultation

Quick second opinions through async or live consultation

Quick second opinions through async or live consultation

Supportive discussion of challenging cases to reduce uncertainty

Supportive discussion of challenging cases to reduce uncertainty

Supportive discussion of challenging cases to reduce uncertainty

Combats professional isolation common in remote practice

Combats professional isolation common in remote practice

Combats professional isolation common in remote practice

Creates more accurate, multi-perspective clinical data for your models​​​​​​​​​​​​​​​​

Creates more accurate, multi-perspective clinical data for your models​​​​​​​​​​​​​​​​

Creates more accurate, multi-perspective clinical data for your models​​​​​​​​​​​​​​​​

5 Reports: shine a light into black box AI

Vitals tracks error detection; clinical validation; new gold standard clinical flows, and their impact; and reports back on how the work improved your system.

An AI error report created by Vitals, or Doctor-in-the-Loop infrastructure.
An AI error report created by Vitals, or Doctor-in-the-Loop infrastructure.
An AI error report created by Vitals, or Doctor-in-the-Loop infrastructure.

Vitals reporting helps your team:

See a high-level view of model performance and failure zones

See a high-level view of model performance and failure zones

See a high-level view of model performance and failure zones

Track and reduce errors over time

Track and reduce errors over time

Track and reduce errors over time

Spot and review the most severe or critical errors

Spot and review the most severe or critical errors

Spot and review the most severe or critical errors

Measure how gold standard flows improve model accuracy

Measure how gold standard flows improve model accuracy

Measure how gold standard flows improve model accuracy

Make the data easily accessible for deep dives

Make the data easily accessible for deep dives

Make the data easily accessible for deep dives

Built with data security in mind

HIPAA-compliant

Encryption, access control, full audit logging

Scalable infrastructure

From small pilots to large projects

Gold-standard QA

Inter-annotator agreement, quality scoring, continuous feedback

Model-ready

Compatible with proprietary inference APIs and structured input/output mapping

Companies: Supercharge the accuracy of your medical AI

Contact us with questions or schedule a call to see how Automate.clinic can dramatically improve your model.

Companies: Supercharge the accuracy of your medical AI

Contact us with questions or schedule a call to see how Automate.clinic can dramatically improve your model.

Companies: Supercharge the accuracy of your medical AI

Contact us with questions or schedule a call to see how Automate.clinic can dramatically improve your model.

Doctors: Apply to join our practice

Questions? Let's chat. Ready to get started? Do it now.

Doctors: Apply to join our practice

Questions? Let's chat. Ready to get started? Do it now.

Doctors: Apply to join our practice

Questions? Let's chat. Ready to get started? Do it now.

Clinical intelligence,

captured.

Automate.clinic's platform, Vitals, serves as the missing link between powerful AI technology and clinical expertise, ensuring the tech is not just technically impressive but can be trusted, clinically. The platform transforms physician expertise into machine-readable intelligence through pre-labeling, error correction, gold-standard generation, red-teaming, and structured reasoning mapping—all within HIPAA-compliant, asynchronous workflows designed specifically for how doctors think and make decisions.

A+

Accuracy

Professional physician interface

Guided error validation

Physician peer review

Gold standard clinical flows

Structured data output

Professional physician interface

Guided error validation

Physician peer review

Gold standard clinical flows

Structured data output

Returned

Returned

Vitals

Vitals

Source

Source

Amazon S3/Google Cloud/
Azure/Redis/custom storage/

error logs/transcripts/
flagged output/raw data

Client AI

Client AI

Client AI

HIPAA / SOC2

HIPAA / SOC2

Say ‘hello’ to Vitals,
the Doctor-in-the-Loop™ platform.

Meet our platform,
Vitals

Vitals is where our doctors review your data, manage our work, and receive AI-powered assistance through Rounds. It's also where we connect with peers for second opinions and build community through collaborative case discussions.

Designed by doctors,

for doctors

Vitals isn’t a generic labeling tool—it’s purpose-built by doctors who understand what we actually want from our work. We know how doctors think, what we enjoy doing, and what we find soul-crushing. That’s why Vitals is designed to challenge, not bore. It supports real clinical reasoning, not mindless annotation.


Every feature of Vitals respects medical expertise—turning AI development into an intellectually engaging, high-impact opportunity. It’s work that feels meaningful, because it is. It’s in our DNA. And that matters—for doctors and for you. When we are truly engaged, the quality of our work soars.

The benefits of Vitals

1 Expert interfaces: Built to support clinical workflows and data structures

The most productive interface for your data structure promotes the most accurate training data. Here are some examples.

Healthcare chatbot

Physician AI inbox

Clinical summary

Vitals' custom-built interfaces accelerate expert analysis and boost doctor engagement, directly improving model accuracy. Through our platform, doctors efficiently identify and correct:​​​​​​​​​​​​​​​​

Factual errors and misreported findings

Factual errors and misreported findings

Factual errors and misreported findings

Unsafe or inappropriate recommendations

Unsafe or inappropriate recommendations

Unsafe or inappropriate recommendations

Fabricated “hallucinations”

Fabricated “hallucinations”

Fabricated “hallucinations”

Contextual misunderstandings

Contextual misunderstandings

Contextual misunderstandings

Bias, tone, and empathy mishaps

Bias, tone, and empathy mishaps

Bias, tone, and empathy mishaps

2 Rounds: AI-driven clinical dialogue

Rounds captures doctors’ diagnostic reasoning through interactive dialogues, generating structured data that trains AI models to think like experienced clinicians rather than simply recording final decisions.

Validate diagnostics errors & create gold standard

Validate diagnostics errors & create gold standard

Female, 38 with dizziness

Female, 38 with dizziness

Rounds

Rounds

I have access to the complete background of this case and would like to pick your brain.
This patient reports increasing orthostatic dizziness, fatigue, and elevated morning blood glucose (160-180). What key information would help determine if medication adjustment or an office visit is needed?

I have access to the complete background of this case and would like to pick your brain.
This patient reports increasing orthostatic dizziness, fatigue, and elevated morning blood glucose (160-180). What key information would help determine if medication adjustment or an office visit is needed?

Would need to know: current medications (especially those affecting BP), recent medication changes, BP readings, hydration status, and details about when dizziness occurs relative to meals.


Would need to know: current medications (especially those affecting BP), recent medication changes, BP readings, hydration status, and details about when dizziness occurs relative to meals.


Send

Send

Send

Send

To turn black-box AI into clinically grounded systems, Rounds provides background for problem cases, work analysis, and consistent data structures, such as:

Step-by-step diagnostic logic for structured data output

Step-by-step diagnostic logic for structured data output

Step-by-step diagnostic logic for structured data output

Differential diagnoses and alternatives

Differential diagnoses and alternatives

Differential diagnoses and alternatives

Decision trees and uncertainty management

Decision trees and uncertainty management

Decision trees and uncertainty management

Expert heuristics and shortcuts

Expert heuristics and shortcuts

Expert heuristics and shortcuts

3 Expertise: Training, reference, and look-up, built in

Our intuitive platform streamlines doctor onboarding with built-in AI guidance that surfaces relevant clinical guidelines and best practices, eliminating the need for extensive training while ensuring each doctor can immediately contribute high-quality work tailored to your specific project needs.​​​​​​​​​​​​​​​​

Representativeness bias

Representativeness bias

In a clinical AI context, this bias describes the tendency for systems to judge a patient’s condition based on how closely their symptoms match a “typical” presentation, rather than considering alternative diagnoses or the broader statistical likelihood of various conditions.

In a clinical AI context, this bias describes the tendency for systems to judge a patient’s condition based on how closely their symptoms match a “typical” presentation, rather than considering alternative diagnoses or the broader statistical likelihood of various conditions.

Representativeness bias

In a clinical AI context, this bias describes the tendency for systems to judge a patient’s condition based on how closely their symptoms match a “typical” presentation, rather than considering alternative diagnoses or the broader statistical likelihood of various conditions.

Analyze AI email & create response

Analyze AI email & create response

Female, 37 with headaches

Female, 37 with headaches

Bias analysis

Bias analysis

Demographic

Demographic

Representativeness

Representativeness

Availability

Availability

Anchoring

Anchoring

Sequencing

Sequencing

Base rate neglect

Base rate neglect

Premature closure

Premature closure

Framing

Framing

Confirmation

Confirmation

We’ve designed Automate.clinic to feel as natural as reviewing a chart. Doctors log in, review clinical data, and use powerful AI-assisted tools to refine and validate medical insights—asynchronously and securely.

Real-time clinical reference, built-in.

Real-time clinical reference, built-in.

Real-time clinical reference, built-in.

Doctors always know what to do next, thanks to a clean interface, embedded instructions, and real-time reference cues—all built into the workflow.

Doctors always know what to do next, thanks to a clean interface, embedded instructions, and real-time reference cues—all built into the workflow.

Doctors always know what to do next, thanks to a clean interface, embedded instructions, and real-time reference cues—all built into the workflow.

Doctors begin with intelligent draft notes or diagnoses generated by top-tier clinical LLMs—saving time and focusing judgment where it matters most

Doctors begin with intelligent draft notes or diagnoses generated by top-tier clinical LLMs—saving time and focusing judgment where it matters most

Doctors begin with intelligent draft notes or diagnoses generated by top-tier clinical LLMs—saving time and focusing judgment where it matters most

4 Faculty: for curbsides and second opinions

For complex cases, peer review is built in—so a second opinion from another expert is always just a click away.

Faculty helps our team with:

Efficient, flexible collaboration between doctors

Efficient, flexible collaboration between doctors

Efficient, flexible collaboration between doctors

Quick second opinions through async or live consultation

Quick second opinions through async or live consultation

Quick second opinions through async or live consultation

Supportive discussion of challenging cases to reduce uncertainty

Supportive discussion of challenging cases to reduce uncertainty

Supportive discussion of challenging cases to reduce uncertainty

Combats professional isolation common in remote practice

Combats professional isolation common in remote practice

Combats professional isolation common in remote practice

Creates more accurate, multi-perspective clinical data for your models​​​​​​​​​​​​​​​​

Creates more accurate, multi-perspective clinical data for your models​​​​​​​​​​​​​​​​

Creates more accurate, multi-perspective clinical data for your models​​​​​​​​​​​​​​​​

5 Reports: shine a light into black box AI

Vitals tracks error detection; clinical validation; new gold standard clinical flows, and their impact; and reports back on how the work improved your system.

An AI error report created by Vitals, or Doctor-in-the-Loop infrastructure.
An AI error report created by Vitals, or Doctor-in-the-Loop infrastructure.
An AI error report created by Vitals, or Doctor-in-the-Loop infrastructure.

Vitals reporting helps your team:

See a high-level view of model performance and failure zones

See a high-level view of model performance and failure zones

See a high-level view of model performance and failure zones

Track and reduce errors over time

Track and reduce errors over time

Track and reduce errors over time

Spot and review the most severe or critical errors

Spot and review the most severe or critical errors

Spot and review the most severe or critical errors

Measure how gold standard flows improve model accuracy

Measure how gold standard flows improve model accuracy

Measure how gold standard flows improve model accuracy

Make the data easily accessible for deep dives

Make the data easily accessible for deep dives

Make the data easily accessible for deep dives

Built with data security in mind

HIPAA-compliant

Encryption, access control, full audit logging

Scalable infrastructure

From small pilots to large projects

Gold-standard QA

Inter-annotator agreement, quality scoring, continuous feedback

Model-ready

Compatible with proprietary inference APIs and structured input/output mapping

Companies: Supercharge the accuracy of your medical AI

Contact us with questions or schedule a call to see how Automate.clinic can dramatically improve your model.

Companies: Supercharge the accuracy of your medical AI

Contact us with questions or schedule a call to see how Automate.clinic can dramatically improve your model.

Companies: Supercharge the accuracy of your medical AI

Contact us with questions or schedule a call to see how Automate.clinic can dramatically improve your model.

Doctors: Apply to join our practice

Questions? Let's chat. Ready to get started? Do it now.

Doctors: Apply to join our practice

Questions? Let's chat. Ready to get started? Do it now.

Doctors: Apply to join our practice

Questions? Let's chat. Ready to get started? Do it now.

Clinical intelligence,

captured.

Automate.clinic's platform, Vitals, serves as the missing link between powerful AI technology and clinical expertise, ensuring the tech is not just technically impressive but can be trusted, clinically. The platform transforms physician expertise into machine-readable intelligence through pre-labeling, error correction, gold-standard generation, red-teaming, and structured reasoning mapping—all within HIPAA-compliant, asynchronous workflows designed specifically for how doctors think and make decisions.

A+

Accuracy

Professional physician interface

Guided error validation

Physician peer review

Gold standard clinical flows

Structured data output

Professional physician interface

Guided error validation

Physician peer review

Gold standard clinical flows

Structured data output

Returned

Returned

Vitals

Vitals

Source

Source

Amazon S3/Google Cloud/
Azure/Redis/custom storage/

error logs/transcripts/
flagged output/raw data

Client AI

Client AI

Client AI

HIPAA / SOC2

HIPAA / SOC2

Say ‘hello’ to Vitals,
the Doctor-in-the-Loop™ platform.

Meet our platform,
Vitals

Vitals is where our doctors review your data, manage our work, and receive AI-powered assistance through Rounds. It's also where we connect with peers for second opinions and build community through collaborative case discussions.

Designed by doctors,

for doctors

Vitals isn’t a generic labeling tool—it’s purpose-built by doctors who understand what we actually want from our work. We know how doctors think, what we enjoy doing, and what we find soul-crushing. That’s why Vitals is designed to challenge, not bore. It supports real clinical reasoning, not mindless annotation.


Every feature of Vitals respects medical expertise—turning AI development into an intellectually engaging, high-impact opportunity. It’s work that feels meaningful, because it is. It’s in our DNA. And that matters—for doctors and for you. When we are truly engaged, the quality of our work soars.

The benefits of Vitals

1 Expert interfaces: Built to support clinical workflows and data structures

The most productive interface for your data structure promotes the most accurate training data. Here are some examples.

Healthcare chatbot

Physician AI inbox

Clinical summary

Vitals' custom-built interfaces accelerate expert analysis and boost doctor engagement, directly improving model accuracy. Through our platform, doctors efficiently identify and correct:​​​​​​​​​​​​​​​​

Factual errors and misreported findings

Factual errors and misreported findings

Factual errors and misreported findings

Unsafe or inappropriate recommendations

Unsafe or inappropriate recommendations

Unsafe or inappropriate recommendations

Fabricated “hallucinations”

Fabricated “hallucinations”

Fabricated “hallucinations”

Contextual misunderstandings

Contextual misunderstandings

Contextual misunderstandings

Bias, tone, and empathy mishaps

Bias, tone, and empathy mishaps

Bias, tone, and empathy mishaps

2 Rounds: AI-driven clinical dialogue

Rounds captures doctors’ diagnostic reasoning through interactive dialogues, generating structured data that trains AI models to think like experienced clinicians rather than simply recording final decisions.

Validate diagnostics errors & create gold standard

Validate diagnostics errors & create gold standard

Female, 38 with dizziness

Female, 38 with dizziness

Rounds

Rounds

I have access to the complete background of this case and would like to pick your brain.
This patient reports increasing orthostatic dizziness, fatigue, and elevated morning blood glucose (160-180). What key information would help determine if medication adjustment or an office visit is needed?

I have access to the complete background of this case and would like to pick your brain.
This patient reports increasing orthostatic dizziness, fatigue, and elevated morning blood glucose (160-180). What key information would help determine if medication adjustment or an office visit is needed?

Would need to know: current medications (especially those affecting BP), recent medication changes, BP readings, hydration status, and details about when dizziness occurs relative to meals.


Would need to know: current medications (especially those affecting BP), recent medication changes, BP readings, hydration status, and details about when dizziness occurs relative to meals.


Send

Send

Send

Send

To turn black-box AI into clinically grounded systems, Rounds provides background for problem cases, work analysis, and consistent data structures, such as:

Step-by-step diagnostic logic for structured data output

Step-by-step diagnostic logic for structured data output

Step-by-step diagnostic logic for structured data output

Differential diagnoses and alternatives

Differential diagnoses and alternatives

Differential diagnoses and alternatives

Decision trees and uncertainty management

Decision trees and uncertainty management

Decision trees and uncertainty management

Expert heuristics and shortcuts

Expert heuristics and shortcuts

Expert heuristics and shortcuts

3 Expertise: Training, reference, and look-up, built in

Our intuitive platform streamlines doctor onboarding with built-in AI guidance that surfaces relevant clinical guidelines and best practices, eliminating the need for extensive training while ensuring each doctor can immediately contribute high-quality work tailored to your specific project needs.​​​​​​​​​​​​​​​​

Representativeness bias

Representativeness bias

In a clinical AI context, this bias describes the tendency for systems to judge a patient’s condition based on how closely their symptoms match a “typical” presentation, rather than considering alternative diagnoses or the broader statistical likelihood of various conditions.

In a clinical AI context, this bias describes the tendency for systems to judge a patient’s condition based on how closely their symptoms match a “typical” presentation, rather than considering alternative diagnoses or the broader statistical likelihood of various conditions.

Representativeness bias

In a clinical AI context, this bias describes the tendency for systems to judge a patient’s condition based on how closely their symptoms match a “typical” presentation, rather than considering alternative diagnoses or the broader statistical likelihood of various conditions.

Analyze AI email & create response

Analyze AI email & create response

Female, 37 with headaches

Female, 37 with headaches

Bias analysis

Bias analysis

Demographic

Demographic

Representativeness

Representativeness

Availability

Availability

Anchoring

Anchoring

Sequencing

Sequencing

Base rate neglect

Base rate neglect

Premature closure

Premature closure

Framing

Framing

Confirmation

Confirmation

We’ve designed Automate.clinic to feel as natural as reviewing a chart. Doctors log in, review clinical data, and use powerful AI-assisted tools to refine and validate medical insights—asynchronously and securely.

Real-time clinical reference, built-in.

Real-time clinical reference, built-in.

Real-time clinical reference, built-in.

Doctors always know what to do next, thanks to a clean interface, embedded instructions, and real-time reference cues—all built into the workflow.

Doctors always know what to do next, thanks to a clean interface, embedded instructions, and real-time reference cues—all built into the workflow.

Doctors always know what to do next, thanks to a clean interface, embedded instructions, and real-time reference cues—all built into the workflow.

Doctors begin with intelligent draft notes or diagnoses generated by top-tier clinical LLMs—saving time and focusing judgment where it matters most

Doctors begin with intelligent draft notes or diagnoses generated by top-tier clinical LLMs—saving time and focusing judgment where it matters most

Doctors begin with intelligent draft notes or diagnoses generated by top-tier clinical LLMs—saving time and focusing judgment where it matters most

4 Faculty: for curbsides and second opinions

For complex cases, peer review is built in—so a second opinion from another expert is always just a click away.

Faculty helps our team with:

Efficient, flexible collaboration between doctors

Efficient, flexible collaboration between doctors

Efficient, flexible collaboration between doctors

Quick second opinions through async or live consultation

Quick second opinions through async or live consultation

Quick second opinions through async or live consultation

Supportive discussion of challenging cases to reduce uncertainty

Supportive discussion of challenging cases to reduce uncertainty

Supportive discussion of challenging cases to reduce uncertainty

Combats professional isolation common in remote practice

Combats professional isolation common in remote practice

Combats professional isolation common in remote practice

Creates more accurate, multi-perspective clinical data for your models​​​​​​​​​​​​​​​​

Creates more accurate, multi-perspective clinical data for your models​​​​​​​​​​​​​​​​

Creates more accurate, multi-perspective clinical data for your models​​​​​​​​​​​​​​​​

5 Reports: shine a light into black box AI

Vitals tracks error detection; clinical validation; new gold standard clinical flows, and their impact; and reports back on how the work improved your system.

An AI error report created by Vitals, or Doctor-in-the-Loop infrastructure.
An AI error report created by Vitals, or Doctor-in-the-Loop infrastructure.
An AI error report created by Vitals, or Doctor-in-the-Loop infrastructure.

Vitals reporting helps your team:

See a high-level view of model performance and failure zones

See a high-level view of model performance and failure zones

See a high-level view of model performance and failure zones

Track and reduce errors over time

Track and reduce errors over time

Track and reduce errors over time

Spot and review the most severe or critical errors

Spot and review the most severe or critical errors

Spot and review the most severe or critical errors

Measure how gold standard flows improve model accuracy

Measure how gold standard flows improve model accuracy

Measure how gold standard flows improve model accuracy

Make the data easily accessible for deep dives

Make the data easily accessible for deep dives

Make the data easily accessible for deep dives

Built with data security in mind

HIPAA-compliant

Encryption, access control, full audit logging

Scalable infrastructure

From small pilots to large projects

Gold-standard QA

Inter-annotator agreement, quality scoring, continuous feedback

Model-ready

Compatible with proprietary inference APIs and structured input/output mapping

Companies: Supercharge the accuracy of your medical AI

Contact us with questions or schedule a call to see how Automate.clinic can dramatically improve your model.

Companies: Supercharge the accuracy of your medical AI

Contact us with questions or schedule a call to see how Automate.clinic can dramatically improve your model.

Companies: Supercharge the accuracy of your medical AI

Contact us with questions or schedule a call to see how Automate.clinic can dramatically improve your model.

Doctors: Apply to join our practice

Questions? Let's chat. Ready to get started? Do it now.

Doctors: Apply to join our practice

Questions? Let's chat. Ready to get started? Do it now.

Doctors: Apply to join our practice

Questions? Let's chat. Ready to get started? Do it now.