EHR Agent

The EHR Agent analyzes comprehensive electronic health records — labs, conditions, medications, imaging, genetics, and vital signs — to deliver evidence-based insights for both patients and clinicians. Analysis is backed by peer-reviewed medical literature and a curated corpus of 3,000+ clinical guidelines from leading medical societies.

When to Use

Best for:

Comprehensive health analysis
Multi-system assessment
Complex cases with imaging/genetics
Pre-visit preparation

Input: Full EHR data bundle

Lab Results Agent

Best for:

Lab result interpretation
Post-visit lab review
Routine monitoring analysis
Direct lab-to-patient communication

Input: Lab results + optional patient context

Endpoint

POST https://api.heliosai.health/api/v1/agent

Agent Modes

The EHR Agent supports two modes:

Mode	Processing Time	Cost	Best For
Light	5-8 minutes	$0.65	Routine health summaries, standard cases
Deep	10-13 minutes	$3.50	Complex cases, multi-step literature and guideline research

Deep Agent runs include researchTasks in the response — an array of the specific research queries executed during the multi-step literature review. Light Agent responses do not include this field.

Request Format

{
  "webhookUrl": "https://your-server.com/webhook/helios",
  "agentType": "light",
  "data": {
    "patientInfo": {
      "age": 45,
      "gender": "male"
    },
    "recentAbnormalLabs": [
      {
        "date": "2025-01-15",
        "display": "Hemoglobin A1c",
        "value": "7.2",
        "unit": "%",
        "referenceRange": "4.0-5.6",
        "interpretation": "High"
      }
    ],
    "recentNormalLabs": [
      {
        "date": "2025-01-15",
        "display": "Sodium",
        "value": "140",
        "unit": "mEq/L",
        "referenceRange": "136-145"
      }
    ],
    "pastMedicalHistory": [
      {
        "display": "Type 2 Diabetes Mellitus",
        "clinicalStatus": "active",
        "onsetDate": "2020-03-15"
      }
    ],
    "medications": [
      {
        "medication": "Metformin 500mg",
        "status": "active",
        "dosage": "500mg",
        "frequency": "twice daily"
      }
    ],
    "vitalSigns": [
      {
        "display": "Blood Pressure",
        "value": "138/88",
        "unit": "mmHg",
        "date": "2025-01-15"
      }
    ]
  }
}

Required Fields

Field	Type	Description
`webhookUrl`	string	HTTPS URL to receive results
`agentType`	string	`"light"` or `"deep"`
`data`	object	Health data to analyze

Health Data Fields

All fields in data are optional, but you should provide at least some health information for meaningful analysis:

Field	Type	Description
`patientInfo`	object	Age, gender (no PHI — see below)
`recentAbnormalLabs`	array	Abnormal lab results
`recentNormalLabs`	array	Normal lab results
`labTrends`	array	Historical lab values over time
`pastMedicalHistory`	array	Conditions and diagnoses
`medications`	array	Current and recent medications
`familyHistory`	array	Family medical history
`imagingStudies`	array	Imaging reports and findings
`geneticData`	array	Genetic test results
`vitalSigns`	array	Recent vital sign measurements
`additionalContext`	string	Free-text clinical notes
`userInstructions`	string	Custom instructions for the analysis

Patient Info

Field	Type	Description
`age`	number	Patient age (de-identified, no DOB)
`gender`	string	`"male"`, `"female"`, `"other"`, or `"unknown"`

No PHI allowed in patientInfo. Do not include name, date of birth, address, or any other personally identifiable information. Only de-identified demographic data (age, gender) is accepted.

Lab Result Fields

Used for both recentAbnormalLabs and recentNormalLabs:

Field	Type	Required	Description
`display`	string	Yes	Lab test name (e.g., “Hemoglobin A1c”)
`value`	string	Yes	Result value (e.g., “7.2”)
`unit`	string	Yes	Unit of measurement (e.g., ”%”, “mg/dL”)
`date`	string	No	Date of test (ISO 8601). Strongly recommended
`referenceRange`	string	No	Normal range (e.g., “4.0-5.6”)
`interpretation`	string	No	Abnormality flag (e.g., “High”, “Low”, “Normal”)
`id`	string	No	Unique identifier
`code`	string	No	LOINC or other standard code

Lab Trends

Track how a lab value has changed over time:

Field	Type	Required	Description
`code`	string	Yes	Standard code for the lab test
`display`	string	Yes	Lab test name
`values`	array	Yes	Array of historical values
`values[].date`	string	Yes	Date of measurement
`values[].value`	string	Yes	Result value
`values[].unit`	string	Yes	Unit of measurement
`values[].interpretation`	string	No	Abnormality flag

Condition Fields

Field	Type	Required	Description
`display`	string	Yes	Condition name (e.g., “Type 2 Diabetes Mellitus”)
`clinicalStatus`	string	Yes	`"active"`, `"inactive"`, `"resolved"`, etc.
`onsetDate`	string	No	When the condition started
`recordedDate`	string	No	When the condition was recorded
`verificationStatus`	string	No	`"confirmed"`, `"provisional"`, etc.
`id`	string	No	Unique identifier
`code`	string	No	ICD-10 or SNOMED code

Medication Fields

Field	Type	Required	Description
`medication`	string	Yes	Medication name and strength
`status`	string	Yes	`"active"`, `"completed"`, `"stopped"`
`dosage`	string	No	Dosage amount
`frequency`	string	No	How often taken
`startDate`	string	No	When the medication was started
`endDate`	string	No	When the medication was stopped
`source`	string	No	`"statement"` or `"request"`
`id`	string	No	Unique identifier

Family History Fields

Field	Type	Required	Description
`relationship`	string	Yes	Relationship (e.g., “Father”, “Mother”)
`condition`	string	Yes	Condition name
`onsetAge`	string	No	Age at onset
`id`	string	No	Unique identifier

Imaging Study Fields

Field	Type	Required	Description
`type`	string	Yes	Study type (e.g., “CT Scan”, “MRI”)
`description`	string	Yes	Description of the study
`date`	string	No	Date of study. Strongly recommended
`modality`	string	No	Imaging modality
`findings`	string	No	Radiology findings
`conclusion`	string	No	Radiologist’s conclusion
`reportText`	string	No	Full report text
`id`	string	No	Unique identifier

Genetic Data Fields

Field	Type	Required	Description
`geneCode`	string	Yes	Gene code (e.g., “BRCA1”)
`geneDisplay`	string	Yes	Gene display name
`interpretation`	string	Yes	Result interpretation
`value`	string	No	Raw value
`method`	string	No	Testing method
`date`	string	No	Date of test
`id`	string	No	Unique identifier

Vital Sign Fields

Field	Type	Required	Description
`display`	string	Yes	Vital sign name (e.g., “Blood Pressure”, “Heart Rate”)
`value`	string	Yes	Measurement value
`unit`	string	Yes	Unit (e.g., “mmHg”, “bpm”)
`date`	string	No	Date of measurement
`referenceRange`	string	No	Normal range
`interpretation`	string	No	Abnormality flag
`id`	string	No	Unique identifier

Element Limits & Sorting

To ensure optimal analysis quality and prevent context overflow, the API applies limits to each data category. Elements are sorted by date (most recent first) before limits are applied.

Category	Max Elements	Date Field	Date Importance
Abnormal Labs	50	`date`	Expected — labs almost always have dates
Normal Labs	15	`date`	Expected — labs almost always have dates
Conditions	100	`onsetDate` or `recordedDate`	Recommended
Medications	30	`startDate`	Recommended
Family History	15	N/A	N/A (no dates)
Imaging Studies	15	`date`	Expected — imaging always has dates
Genetic Data	No limit	`date`	Recommended
Vital Signs	No limit	`date`	Recommended

Dates are critical for accurate analysis. The API sorts data by recency to prioritize the most recent findings. Without dates:

Lab results may be analyzed in the wrong order, potentially missing critical recent changes
Older, less relevant data may be included instead of recent findings
Trend analysis and temporal reasoning will be impaired

While dates are technically optional (per FHIR), lab results and imaging studies should always include dates in practice. Data without dates will be deprioritized during element limiting.

Error Responses

400 Bad Request — Validation Error

{
  "error": "Validation error",
  "details": [
    { "path": "webhookUrl", "message": "Invalid URL format" }
  ]
}

401 Unauthorized

{
  "error": "Unauthorized",
  "message": "Invalid or missing API key"
}

429 Too Many Requests

Returned when your company has reached its concurrent request limit. Includes a Retry-After header.

{
  "error": "Too many concurrent requests",
  "message": "You have 7 active light agent requests. Maximum is 7.",
  "activeCount": 7,
  "limit": 7
}

500 Internal Server Error

{
  "error": "Internal server error",
  "message": "An unexpected error occurred"
}

Response Format

Immediate Response (200 OK)

{
  "runId": "550e8400-e29b-41d4-a716-446655440000",
  "status": "accepted",
  "message": "Request accepted. Results will be delivered to your webhook."
}

Response Headers

Header	Description	Example
`X-Concurrent-Limit`	Maximum concurrent requests for this agent type	`7`
`X-Concurrent-Active`	Active requests (including this one)	`3`
`X-Concurrent-Remaining`	Available slots	`4`

Webhook Delivery

Results are delivered to your webhook URL (5-8 min for Light, 10-13 min for Deep): Light Agent response:

{
  "runId": "550e8400-e29b-41d4-a716-446655440000",
  "status": "completed",
  "agent": "light",
  "timestamp": "2025-01-15T12:01:30.000Z",
  "sequenceNumber": 7,
  "result": {
    "selectedElements": [
      {
        "item": "Hemoglobin A1c",
        "category": "Laboratory Value",
        "patient_value": "7.2%",
        "matching_reason": "Elevated HbA1c indicates suboptimal glycemic control"
      }
    ],
    "patientResponse": "Your recent lab results show that your HbA1c level is 7.2%...",
    "clinicianResponse": "The patient presents with elevated HbA1c (7.2%) indicating suboptimal glycemic control...",
    "citations": {
      "patient": {
        "1": {
          "url": "https://pubmed.ncbi.nlm.nih.gov/12345678/",
          "title": "Glycemic Control in Type 2 Diabetes",
          "metadata": { "type": "pubmed" }
        },
        "2": {
          "url": "https://doi.org/10.2337/dc24-S006",
          "title": "ADA Standards of Care in Diabetes — Glycemic Goals",
          "metadata": {
            "type": "guideline",
            "source": "ADA",
            "doi": "10.2337/dc24-S006",
            "specialties": ["Endocrinology"]
          }
        }
      },
      "clinician": {
        "1": {
          "url": "https://pubmed.ncbi.nlm.nih.gov/87654321/",
          "title": "ADA Standards of Care 2025",
          "metadata": { "type": "pubmed" }
        },
        "2": {
          "url": "https://doi.org/10.2337/dc24-S009",
          "title": "ADA Standards of Care — Pharmacologic Approaches to Glycemic Treatment",
          "metadata": {
            "type": "guideline",
            "source": "ADA",
            "doi": "10.2337/dc24-S009",
            "specialties": ["Endocrinology"]
          }
        }
      }
    }
  }
}

Deep Agent response (includes researchTasks):

{
  "runId": "550e8400-e29b-41d4-a716-446655440000",
  "status": "completed",
  "agent": "deep",
  "timestamp": "2025-01-15T12:15:30.000Z",
  "sequenceNumber": 9,
  "result": {
    "selectedElements": [ ... ],
    "patientResponse": "Your recent lab results show...",
    "clinicianResponse": "The patient presents with...",
    "researchTasks": [
      "Research current ADA guidelines for glycemic control in Type 2 Diabetes",
      "Investigate SGLT2 inhibitor cardiovascular benefits in patients with CKD",
      "Analyze optimal statin therapy for diabetic patients with elevated LDL"
    ],
    "citations": {
      "patient": {
        "1": { "url": "https://pubmed.ncbi.nlm.nih.gov/12345678/", "title": "Glycemic Control in Type 2 Diabetes", "metadata": { "type": "pubmed" } },
        "2": {
          "url": "https://doi.org/10.2337/dc24-S006",
          "title": "ADA Standards of Care — Glycemic Goals and Hypoglycemia",
          "metadata": { "type": "guideline", "source": "ADA", "doi": "10.2337/dc24-S006", "specialties": ["Endocrinology"] }
        }
      },
      "clinician": {
        "1": { "url": "https://pubmed.ncbi.nlm.nih.gov/87654321/", "title": "ADA Standards of Care 2025", "metadata": { "type": "pubmed" } },
        "2": {
          "url": "https://doi.org/10.1161/CIR.0000000000001168",
          "title": "2023 AHA/ACC Guideline for Heart Failure Management",
          "metadata": { "type": "guideline", "source": "ACC/AHA", "doi": "10.1161/CIR.0000000000001168", "specialties": ["Cardiology"] }
        }
      }
    }
  }
}

Result Fields

Field	Description
`selectedElements`	Health elements selected for analysis (see below)
`patientResponse`	Patient-friendly summary in Markdown
`clinicianResponse`	Clinical report with citations in Markdown
`citations`	Citation metadata for both responses
`researchTasks`	Research queries executed (Deep Agent only)

Selected Elements

The selectedElements array contains the health data elements that the AI identified as most clinically relevant:

Field	Description
`ehr_element_id`	Unique ID (e.g., “Lab 1”, “Condition 3”)
`ehr_element_description`	Human-readable description
`category`	Element category (Laboratory Value, Diagnosed Disease, etc.)
`patient_value`	The patient’s actual value or status
`relevance`	Why this element was selected
`matching_reason`	Why this element is clinically interesting

Processing Steps

Status update webhooks are sent during processing: Light Agent Steps:

Step	Name
1	Processing started
2	Analyzing health data
3	Selecting relevant elements
4	Researching medical literature and clinical guidelines
5	Generating patient response
6	Generating clinician response
7	Finalizing results
8	Delivering final results

Deep Agent Steps:

Step	Name	Description
1	Processing started	Request received and validated
2	Analyzing health data	Extracting insights from EHR data
3	Selecting relevant elements	AI selecting important health elements
4	Routing to Deep Agent	Handing off to research agent
5	Starting research tasks	Beginning parallel literature and guideline research
6	Research complete	All research tasks finished
7	Generating responses	Creating clinician and patient reports
8	Finalizing results	Preparing final output

For Deep Agent, steps 1-4 are sent by the initial API server. Steps 5-8 and the final result are sent by the Deep Agent research processor. This architecture allows the Deep Agent to run for up to 16 minutes without timeout constraints.

Example Requests

curl -X POST https://api.heliosai.health/api/v1/agent \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "webhookUrl": "https://your-server.com/webhook/helios",
    "agentType": "light",
    "data": {
      "patientInfo": {
        "age": 45,
        "gender": "male"
      },
      "recentAbnormalLabs": [
        {
          "date": "2025-01-15",
          "display": "Hemoglobin A1c",
          "value": "7.2",
          "unit": "%",
          "referenceRange": "4.0-5.6",
          "interpretation": "High"
        }
      ],
      "pastMedicalHistory": [
        {
          "display": "Type 2 Diabetes Mellitus",
          "clinicalStatus": "active",
          "onsetDate": "2020-03-15"
        }
      ],
      "medications": [
        {
          "medication": "Metformin 500mg",
          "status": "active",
          "dosage": "500mg",
          "frequency": "twice daily"
        }
      ],
      "vitalSigns": [
        {
          "display": "Blood Pressure",
          "value": "138/88",
          "unit": "mmHg",
          "date": "2025-01-15"
        }
      ]
    }
  }'

const response = await fetch('https://api.heliosai.health/api/v1/agent', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'x-api-key': 'YOUR_API_KEY'
  },
  body: JSON.stringify({
    webhookUrl: 'https://your-server.com/webhook/helios',
    agentType: 'light',
    data: {
      patientInfo: { age: 45, gender: 'male' },
      recentAbnormalLabs: [
        {
          date: '2025-01-15',
          display: 'Hemoglobin A1c',
          value: '7.2',
          unit: '%',
          referenceRange: '4.0-5.6',
          interpretation: 'High'
        }
      ],
      pastMedicalHistory: [
        {
          display: 'Type 2 Diabetes Mellitus',
          clinicalStatus: 'active',
          onsetDate: '2020-03-15'
        }
      ],
      medications: [
        {
          medication: 'Metformin 500mg',
          status: 'active',
          dosage: '500mg',
          frequency: 'twice daily'
        }
      ],
      vitalSigns: [
        {
          display: 'Blood Pressure',
          value: '138/88',
          unit: 'mmHg',
          date: '2025-01-15'
        }
      ]
    }
  })
});

const { runId, status } = await response.json();
console.log(`Request accepted with runId: ${runId}`);

import requests

response = requests.post(
    'https://api.heliosai.health/api/v1/agent',
    headers={
        'Content-Type': 'application/json',
        'x-api-key': 'YOUR_API_KEY'
    },
    json={
        'webhookUrl': 'https://your-server.com/webhook/helios',
        'agentType': 'light',
        'data': {
            'patientInfo': { 'age': 45, 'gender': 'male' },
            'recentAbnormalLabs': [
                {
                    'date': '2025-01-15',
                    'display': 'Hemoglobin A1c',
                    'value': '7.2',
                    'unit': '%',
                    'referenceRange': '4.0-5.6',
                    'interpretation': 'High'
                }
            ],
            'pastMedicalHistory': [
                {
                    'display': 'Type 2 Diabetes Mellitus',
                    'clinicalStatus': 'active',
                    'onsetDate': '2020-03-15'
                }
            ],
            'medications': [
                {
                    'medication': 'Metformin 500mg',
                    'status': 'active',
                    'dosage': '500mg',
                    'frequency': 'twice daily'
                }
            ],
            'vitalSigns': [
                {
                    'display': 'Blood Pressure',
                    'value': '138/88',
                    'unit': 'mmHg',
                    'date': '2025-01-15'
                }
            ]
        }
    }
)

data = response.json()
print(f"Request accepted with runId: {data['runId']}")

Pricing

Mode	Cost
Light	$0.65 per request
Deep	$3.50 per request

Next Steps

Webhooks

Set up webhook handling and signature verification.

Response Format

Learn how to parse and display responses with citations.

Rate Limits

Understand concurrency limits.

Lab Results Agent

Simpler endpoint for lab-only analysis.

​When to Use

EHR Agent

Lab Results Agent

​Endpoint

​Agent Modes

​Request Format

​Required Fields

​Health Data Fields

​Patient Info

​Lab Result Fields

​Lab Trends

​Condition Fields

​Medication Fields

​Family History Fields

​Imaging Study Fields

​Genetic Data Fields

​Vital Sign Fields

​Element Limits & Sorting

​Error Responses

​400 Bad Request — Validation Error

​401 Unauthorized

​429 Too Many Requests

​500 Internal Server Error

​Response Format

​Immediate Response (200 OK)

​Response Headers

​Webhook Delivery

​Result Fields

​Selected Elements

​Processing Steps

​Example Requests

​Pricing

​Next Steps

Webhooks

Response Format

Rate Limits

Lab Results Agent

When to Use

Endpoint

Agent Modes

Request Format

Required Fields

Health Data Fields

Patient Info

Lab Result Fields

Lab Trends

Condition Fields

Medication Fields

Family History Fields

Imaging Study Fields

Genetic Data Fields

Vital Sign Fields

Element Limits & Sorting

Error Responses

400 Bad Request — Validation Error

401 Unauthorized

429 Too Many Requests

500 Internal Server Error

Response Format

Immediate Response (200 OK)

Response Headers

Webhook Delivery

Result Fields

Selected Elements

Processing Steps

Example Requests

Pricing

Next Steps