AI-Powered Clinical Workflows
& Documentation for

AI-Powered Clinical Workflows
& Documentation for

AI-Powered Clinical Workflows
& Documentation for

Allergy & Immunology

Allergy & Immunology

Allergy & Immunology

Allergy & Immunology

Allergy & Immunology

AvodahMed supports
workflows across the entire visit—before, during, and after—using AI to reduce documentation burden without changing how you practice.

AvodahMed supports
workflows across the entire visit—before, during, and after—using AI to reduce documentation burden without changing how you practice.

AvodahMed supports workflows across the entire visit—before, during, and after—using AI to reduce documentation burden without changing how you practice.

Allergy & Immunology

Allergy & Immunology

Why Clinical Documentation is Especially Challenging in

Why Clinical Documentation is
Especially Challenging in

Longitudinal Care Demands Consistency Across Recurring Visits and Evolving Treatment Plans.


Longitudinal Care Demands Consistency Across Recurring Visits and Evolving Treatment Plans.


Longitudinal Care Demands Consistency Across Recurring Visits and Evolving Treatment Plans.


Trigger and Reaction Patterns are complex, spanning exposure, testing, and real-world response.


Trigger and Reaction Patterns are complex, spanning exposure, testing, and real-world response.


Trigger and Reaction Patterns are complex, spanning exposure, testing, and real-world response.


Immunotherapy Requires Continuity Through Build-Up and Maintenance-Without Gaps.


Immunotherapy Requires Continuity Through Build-Up and Maintenance-Without Gaps.


Immunotherapy Requires Continuity Through Build-Up and Maintenance-Without Gaps.


Complex Visits Drive After-Hours Charting, Increasing Fatigue and Risk of Missed Detail.


Complex Visits Drive After-Hours Charting, Increasing Fatigue and Risk of Missed Detail.


Complex Visits Drive After-Hours Charting, Increasing Fatigue and Risk of Missed Detail.


Allergy & Immunology

Allergy & Immunology

How AvodahMed Fits

How AvodahMed Fits

Workflow

Workflow

Finalize & Export

AvodahMed ensures that documentation is reviewed, finalized, and delivered through controlled workflows that protect record integrity while supporting downstream clinical and administrative needs.

Finalize and Export to the EHR

Clinicians can send finalized documentation directly into their EHR, preserving record integrity and eliminating duplicate entry.

Download, Copy, or Print

Documentation outputs can also be downloaded, copied, or printed as needed, providing flexibility for downstream workflows and external use.

Learn More

Finalize & Export

AvodahMed ensures that documentation is reviewed, finalized, and delivered through controlled workflows that protect record integrity while supporting downstream clinical and administrative needs.

Finalize and Export to the EHR

Clinicians can send finalized documentation directly into their EHR, preserving record integrity and eliminating duplicate entry.

Download, Copy, or Print

Documentation outputs can also be downloaded, copied, or printed as needed, providing flexibility for downstream workflows and external use.

Learn More

Predictive Clinical Decision Support

AvodahMed provides predictive decision support to assist documentation and clinical awareness without directing or automating care decisions.

Predictive Decision Support Interventions

Recommended care plans based on provider and practice best practices are surfaced during the encounter to support documentation and clinical consideration at the point of care.

Diagnosis Recommendations

Suggested diagnoses and ICD-10 codes are generated from the encounter context, patient history, and provider or practice standards to assist accurate documentation and coding.

AvodahMed supports documentation workflows only, and clinicians retain full authority and responsibility for all clinical decisions.

Learn More

Predictive Clinical Decision Support

AvodahMed provides predictive decision support to assist documentation and clinical awareness without directing or automating care decisions.

Predictive Decision Support Interventions

Recommended care plans based on provider and practice best practices are surfaced during the encounter to support documentation and clinical consideration at the point of care.

Diagnosis Recommendations

Suggested diagnoses and ICD-10 codes are generated from the encounter context, patient history, and provider or practice standards to assist accurate documentation and coding.

AvodahMed supports documentation workflows only, and clinicians retain full authority and responsibility for all clinical decisions.

Learn More

Referrals & Follow-Up

AvodahMed streamlines referrals and follow-up by integrating referral documentation directly into the clinical workflow.

Referral Note Automation

When a referral is discussed during the patient encounter, AvodahMed detects the referral intent and prepares referral documentation within the EHR for clinician review.

Fewer Clicks, Less Friction

By listening for referral triggers during the visit, AvodahMed can auto-create referral notes and associated orders in the EHR, reducing the number of manual steps from 27 to 2 compared to traditional referral workflows.

Referral documentation is pre-populated with patient and specialist details, eliminates duplicate data entry, and is sent directly to the EHR for final clinician review and approval.

Learn More

Referrals & Follow-Up

AvodahMed streamlines referrals and follow-up by integrating referral documentation directly into the clinical workflow.

Referral Note Automation

When a referral is discussed during the patient encounter, AvodahMed detects the referral intent and prepares referral documentation within the EHR for clinician review.

Fewer Clicks, Less Friction

By listening for referral triggers during the visit, AvodahMed can auto-create referral notes and associated orders in the EHR, reducing the number of manual steps from 27 to 2 compared to traditional referral workflows.

Referral documentation is pre-populated with patient and specialist details, eliminates duplicate data entry, and is sent directly to the EHR for final clinician review and approval.

Learn More

Structured Documentation

AvodahMed generates structured clinical documentation that aligns with standard note formats, specialty workflows, and EHR requirements.

SOAP Notes

Subjective, Objective, Assessment, and Plan sections are automatically generated from the encounter and organized for clinician review and finalization.

Specialty Notes

Documentation formats are tailored to specialty-specific workflows, terminology, and clinical expectations rather than forcing generic templates.

Referral Notes

When referral intent is identified during the encounter, AvodahMed prepares referral documentation in the EHR for clinician review and approval.

Clinical Notes

Comprehensive encounter documentation—including history, exam findings, assessment and plan, diagnoses, medications, vitals, test results, and patient instructions—is captured through structured fields and clinician-led dictation.

Extracted Clinical Information

Key clinical data elements are surfaced progressively as the visit unfolds, supporting accurate documentation without interrupting clinical flow.

Learn More

Structured Documentation

AvodahMed generates structured clinical documentation that aligns with standard note formats, specialty workflows, and EHR requirements.

SOAP Notes

Subjective, Objective, Assessment, and Plan sections are automatically generated from the encounter and organized for clinician review and finalization.

Specialty Notes

Documentation formats are tailored to specialty-specific workflows, terminology, and clinical expectations rather than forcing generic templates.

Referral Notes

When referral intent is identified during the encounter, AvodahMed prepares referral documentation in the EHR for clinician review and approval.

Clinical Notes

Comprehensive encounter documentation—including history, exam findings, assessment and plan, diagnoses, medications, vitals, test results, and patient instructions—is captured through structured fields and clinician-led dictation.

Extracted Clinical Information

Key clinical data elements are surfaced progressively as the visit unfolds, supporting accurate documentation without interrupting clinical flow.

Learn More

Finalize & Export

AvodahMed ensures that documentation is reviewed, finalized, and delivered through controlled workflows that protect record integrity while supporting downstream clinical and administrative needs.

Finalize and Export to the EHR

Clinicians can send finalized documentation directly into their EHR, preserving record integrity and eliminating duplicate entry.

Download, Copy, or Print

Documentation outputs can also be downloaded, copied, or printed as needed, providing flexibility for downstream workflows and external use.

Learn More

Finalize & Export

Finalize & Export


AvodahMed ensures that documentation is reviewed, finalized, and delivered through controlled workflows that protect record integrity while supporting downstream clinical and administrative needs.

Finalize and Export to the EHR

Clinicians can send finalized documentation directly into their EHR, preserving record integrity and eliminating duplicate entry.

Download, Copy, or Print

Documentation outputs can also be downloaded, copied, or printed as needed, providing flexibility for downstream workflows and external use.

Predictive Clinical Decision Support

AvodahMed provides predictive decision support to assist documentation and clinical awareness without directing or automating care decisions.

Predictive Decision Support Interventions

Recommended care plans based on provider and practice best practices are surfaced during the encounter to support documentation and clinical consideration at the point of care.

Diagnosis Recommendations

Suggested diagnoses and ICD-10 codes are generated from the encounter context, patient history, and provider or practice standards to assist accurate documentation and coding.

AvodahMed supports documentation workflows only, and clinicians retain full authority and responsibility for all clinical decisions.

Learn More

Finalize & Export

Predictive Clinical Decision Support


AvodahMed provides predictive decision support to assist documentation and clinical awareness without directing or automating care decisions.

Predictive Decision Support Interventions

Recommended care plans based on provider and practice best practices are surfaced during the encounter to support documentation and clinical consideration at the point of care.

Diagnosis Recommendations

Suggested diagnoses and ICD-10 codes are generated from the encounter context, patient history, and provider or practice standards to assist accurate documentation and coding.

AvodahMed supports documentation workflows only, and clinicians retain full authority and responsibility for all clinical decisions.

Referrals & Follow-Up

AvodahMed streamlines referrals and follow-up by integrating referral documentation directly into the clinical workflow.

Referral Note Automation

When a referral is discussed during the patient encounter, AvodahMed detects the referral intent and prepares referral documentation within the EHR for clinician review.

Fewer Clicks, Less Friction

By listening for referral triggers during the visit, AvodahMed can auto-create referral notes and associated orders in the EHR, reducing the number of manual steps from 27 to 2 compared to traditional referral workflows.

Referral documentation is pre-populated with patient and specialist details, eliminates duplicate data entry, and is sent directly to the EHR for final clinician review and approval.

Learn More

Finalize & Export

Referrals & Follow-Up


AvodahMed streamlines referrals and follow-up by integrating referral documentation directly into the clinical workflow.

Referral Note Automation

When a referral is discussed during the patient encounter, AvodahMed detects the referral intent and prepares referral documentation within the EHR for clinician review.

Fewer Clicks, Less Friction

By listening for referral triggers during the visit, AvodahMed can auto-create referral notes and associated orders in the EHR, reducing the number of manual steps from 27 to 2 compared to traditional referral workflows.

Referral documentation is pre-populated with patient and specialist details, eliminates duplicate data entry, and is sent directly to the EHR for final clinician review and approval.

Structured Documentation

AvodahMed generates structured clinical documentation that aligns with standard note formats, specialty workflows, and EHR requirements.

SOAP Notes

Subjective, Objective, Assessment, and Plan sections are automatically generated from the encounter and organized for clinician review and finalization.

Specialty Notes

Documentation formats are tailored to specialty-specific workflows, terminology, and clinical expectations rather than forcing generic templates.

Referral Notes

When referral intent is identified during the encounter, AvodahMed prepares referral documentation in the EHR for clinician review and approval.

Clinical Notes

Comprehensive encounter documentation—including history, exam findings, assessment and plan, diagnoses, medications, vitals, test results, and patient instructions—is captured through structured fields and clinician-led dictation.

Extracted Clinical Information

Key clinical data elements are surfaced progressively as the visit unfolds, supporting accurate documentation without interrupting clinical flow.

Learn More

Finalize & Export

Structured Documentation


AvodahMed generates structured clinical documentation that aligns with standard note formats, specialty workflows, and EHR requirements.

SOAP Notes

Subjective, Objective, Assessment, and Plan sections are automatically generated from the encounter and organized for clinician review and finalization.

Specialty Notes

Documentation formats are tailored to specialty-specific workflows, terminology, and clinical expectations rather than forcing generic templates.

Referral Notes

When referral intent is identified during the encounter, AvodahMed prepares referral documentation in the EHR for clinician review and approval.

Clinical Notes

Comprehensive encounter documentation—including history, exam findings, assessment and plan, diagnoses, medications, vitals, test results, and patient instructions—is captured through structured fields and clinician-led dictation.

Extracted Clinical Information

Key clinical data elements are surfaced progressively as the visit unfolds, supporting accurate documentation without interrupting clinical flow.

Common User Cases in

Common User Cases in

Common User Cases in

Allergy & Immunology

Allergy & Immunology

Allergy & Immunology

Clinicians use AvodahMed to:

  • Document allergy testing results and reactions clearly

  • Track immunotherapy progress across phases

  • Capture environmental, food, and medication triggers consistently

  • Maintain continuity across repeated follow-ups

  • Reduce after-hours charting for chronic allergy care

Clinicians use AvodahMed to:

  • Document allergy testing results and reactions clearly

  • Track immunotherapy progress across phases

  • Capture environmental, food, and medication triggers consistently

  • Maintain continuity across repeated follow-ups

  • Reduce after-hours charting for chronic allergy care

Spend Less Time Charting in

Spend Less Time Charting in

Allergy & Immunology

Allergy & Immunology

Try AvodahMed

(817) 558-7100

info@avodah.com

1600 Solana Blvd. Ste. 8110, Westlake, TX

© 2026 Avodah. All rights reserved.

(817) 558-7100

info@avodah.com

1600 Solana Blvd. Ste. 8110, Westlake, TX

© All rights reserved.