> ## Documentation Index
> Fetch the complete documentation index at: https://docs.metriport.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Suspecting

> Automated identification of undiagnosed or under-coded conditions from clinical evidence patterns.

<Warning>
  Analytics must be enabled for your account to receive this
  data. [Contact us](mailto:contact@metriport.com) to get
  started.
</Warning>

# Overview

Suspecting automatically identifies patients who may have undiagnosed or under-coded conditions
based on clinical evidence in their medical records. The system analyzes prior medical history
to find patterns that suggest a condition may be present but has not yet been formally coded.

Suspected conditions are represented as **FHIR Condition resources** with a `verificationStatus`
of `unconfirmed`. Each suspected condition includes the ICD-10 code, supporting evidence, and
the clinical rules (definitions) that triggered the suspicion.

When clinical data becomes available in our system for a patient, **suspecting** runs on the next
**analytics cycle** (typically within about **30 minutes**). Data may arrive through a
[Network Query](/medical-api/api-reference/network/start-network-query) or
[real-time patient notifications](/medical-api/handling-data/realtime-patient-notifications) such as **ADTs**. Later cycles keep re-evaluating your
patient population to surface coding opportunities and improve risk adjustment accuracy.

## How It Works

The system uses two detection modes:

* **Suspect** — The patient has clinical evidence suggesting a condition but no existing diagnosis
  code on file. For example, two fasting glucose readings above 126 mg/dL without a diabetes
  diagnosis.
* **Recapture** — The patient had a diagnosis code in a prior year but it has not been captured in
  the current year, and there is supporting clinical evidence.

Each detection rule is called a **definition**. A definition belongs to a **group** (e.g.,
"diabetes") and specifies the exact clinical logic used to identify the suspect. Multiple
definitions within the same group may target the same ICD-10 code through different evidence
pathways.

## Available Condition Groups

The following condition groups are currently supported.

<Info>
  More condition groups are under active development. If
  there is a specific condition you'd like added, [get in
  touch with us directly](mailto:contact@metriport.com).
</Info>

### Mental Health

| Condition |
| - |
| Bipolar Disorder |
| Major Depression |
| Dementia |
| Seizure Disorder |
| Anorexia / Bulimia |
| Alcohol Use Disorder |

### Cardiovascular

| Condition |
| - |
| Heart Failure |
| Hypertension |
| Coronary Artery Disease |
| Peripheral Arterial Disease |
| Carotid Artery Stenosis |
| Angina |
| Arrhythmia |
| Aortic Aneurysm |
| History of Cerebrovascular Accident |

### Metabolic

| Condition |
| - |
| Morbid Obesity |
| Diabetes |
| Prediabetes |
| Hyperlipidemia |
| Hyperparathyroidism |
| Hypothyroidism |

### Respiratory

| Condition |
| - |
| COPD |
| Obstructive Sleep Apnea |

### Renal / Hepatic

| Condition |
| - |
| Chronic Kidney Disease |
| Cirrhosis |
| Chronic Hepatitis C |

### Other

| Condition |
| - |
| Diabetic Retinopathy |
| Retinal Vein Occlusion |
| Age-Related Macular Degeneration |
| Lung Nodule |
| Thyroid Nodule |
| Barrett's Esophagus |
| Benign Carcinoid |
| Bone Density |
| Amputation |
| Ostomy |
| History of Active Cancer |

# Getting Started

Once suspecting is enabled for your account, suspected conditions are available through the
**API** and **Dashboard** as each analytics cycle completes.

# Accessing via API

Suspect results are available through the API:

* **[List Patient Suspects](/medical-api/api-reference/analytics/suspects/list-patient-suspects)** —
  paginated suspected conditions for one patient.

Each result is a FHIR `Bundle` that includes a `Patient` resource, the suspected `Condition`, and
supporting evidence resources (Observations, Procedures, MedicationRequests).

# Additional Information

For more information about working with patient data, see the [data analytics](/medical-api/handling-data/data-analytics)
documentation.


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