Abstractive Health API

by Abstractive Health  · Based in United States → — Bring clinical AI into your applications with just a few lines of code.
Family Medicine Hospital Medicine Internal Medicine
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Overview

Abstractive Health API is a clinical AI developer tool designed to integrate medical record retrieval, automated summarization, and clinical question answering into existing healthcare applications. Built as a SMART on FHIR application, the API is designed for health systems, digital health developers, and clinical researchers looking to embed advanced clinical AI directly into their software ecosystems.

The tool fits into clinical and administrative workflows by connecting with major Electronic Health Record (EHR) systems, including Epic, Cerner, Athenahealth, eClinicalWorks, NextGen, and Veradigm. It allows clinicians to access synthesized patient data directly within their existing patient charts, reducing the time spent manually searching through disparate medical documents.

Notable capabilities of the Abstractive Health API include:

  • AI Medical Record Retrieval: Queries patient databases and retrieves relevant documents from a record retrieval pipeline.
  • AI Medical Record Summarization: Generates structured clinical summaries from retrieved notes, user-provided notes, or a combination of both.
  • Clinical Question Answering: Employs Retrieval-Augmented Generation (RAG) to answer clinical queries, providing citations to source documents for verification.
  • Developer Resources: Offers a sandbox environment for testing, structured JSON outputs, and a standard implementation timeline of approximately one week.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI medical record retrieval
  • AI medical record summarization
  • Clinical question answering (RAG)
  • Seamless EHR integration (SMART on FHIR)
  • Citations for verification in outputs
  • Scalable deployment
  • Fast setup with clear documentation
  • Supports bulk patient record retrieval
  • Processes various document types (CCDA, FHIR, PDFs, image-based documents, handwritten notes)
  • AI CDS Alerts

Use Cases

  • Pre-visit chart review
  • Automating clinical notes (SOAP, progress, transition of care, ED provider, discharge summaries)
  • Improving chronic care management outcomes
  • Research platforms and custom health apps
  • Diagnostic training using historical patient records (Clinical Time Machine)
  • Reducing documentation burden

What Physicians Need to Know

Evidence Base (guidelines, literature scope)
Abstractive Health's AI is grounded in the patient's actual chart (notes, labs, meds, imaging) and aligns with clinical guidelines. When generating responses to clinical questions, the AI can search PubMed and clinical guidelines for additional context. The AI medical record summarization engine is built on rigorous research and real-world clinical data, trained on over 10,000 patient charts in partnership with Weill Cornell Medicine.
Clinical Validation Studies
Abstractive Health's AI clinical summarization technology consistently achieves physician-level accuracy in summarization studies and has been shown to provide context-aware, clinically coherent, and actionable summaries. It was recognized by the U.S. Department of Veterans Affairs as one of the top three AI technologies nationwide for clinical summarization, selected from over 200 submissions. The technology has been clinically proven in studies with Weill Cornell Medicine. Research has been published, and a patent granted for their novel approach to AI medical record summarization.
Alert Fatigue Management
The platform offers customizable clinical decision support (CDS) that delivers care notifications without causing distraction or alert fatigue. Physicians can set personalized notifications that analyze patient data and receive recommendations aligned with their clinical practice and established guidelines, aiming for evidence-based care without overwhelming alerts. Notifications appear only when clinically relevant, without disrupting the physician's workflow, to reduce distractions and alert fatigue.
Differential Diagnosis Support
The API provides access to AI-powered medical record retrieval, summarization, and clinical question answering (RAG). This allows providers to ask questions and receive evidence-based answers with citations, leveraging the full patient record. The system distills charts and notes into clear summaries, enabling a clearer understanding of each individual's health journey.
Clinical Workflow Integration
Abstractive Health is built as a SMART on FHIR application, the industry standard for seamless EHR integration, supporting major EHR systems including Epic, Cerner, Athenahealth, eClinicalWorks (eCW), NextGen, Veradigm, DrChrono, Canvas, Oscar, Greenway, and Practice Fusion. The API is designed for flexibility and speed, integrating seamlessly into EHRs, clinical apps, and custom applications. It supports clinical treatment workflows, providing summaries for use before a visit, during care handoffs, and at discharge. The API also allows for pushing updated treatment notes back to the network, fulfilling HIE reciprocity requirements.
Decision Audit Trail
Every answer and summary generated by the AI includes citations for verification, with sentence-level provenance linking back to the original source document. This 'trust but verify' approach ensures full transparency and allows users to confirm the accuracy of the information against source records. The platform is built on a HIPAA-compliant framework with encryption, audit trails, and access controls.
Physician Tip

Leverage the customizable clinical decision support to create alerts tailored to your specialty and specific patient populations, focusing on actionable insights to avoid alert fatigue. Utilize the AI's ability to answer clinical questions with citations to quickly find evidence-based information directly from the patient's chart and external literature. Remember to review the sentence-level provenance in summaries to verify information against original source documents, fostering trust and ensuring accuracy in your decision-making.

The Abstractive Health API is designed for robust integration, primarily as a SMART on FHIR application, ensuring compatibility with a wide range of major EHR systems. It also supports direct API access for custom workflows and can ingest various document formats including PDFs, CDAs, and FHIR. The API facilitates medical record retrieval from national HIE networks like Carequality, and allows for pushing updated treatment notes back into the system, supporting comprehensive patient health records and interoperability.

Details

Category Clinical Decision Support & Reference, Developer Tools & APIs, Documentation & Scribing
Pricing Contact us for customized plan
  • Free Clinician Account (unlimited AI question answering, 5 patient searches + AI medical record summaries/month, 5 PDF uploads/month); Standalone (web app) $99/user/month (unlimited patient searches + AI medical record summaries, unlimited scan summarizations, download as PDF, FHIR, JSON); Organization (Full EHR & API integration) *Consult us for a customized plan (all features in Standalone, priority customer support, API access, backend EHR integration)
DeploymentCloud-based, integrates with EHR systems, clinical apps, and custom applications
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated
Integrations
EHR Not specified
Specialties Family Medicine, Hospital Medicine, Internal Medicine

Ratings & Reviews

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Press & Coverage

ImpediMed
SOZO by ImpediMed | Lymphedema Detection & Monitoring ...
ImpediMed's SOZO platform leverages Abstractive Health's API to provide developers and health systems with direct access to AI-powered medical record retrieval, summarization, and clinical question answering for lymphedema detection and monitoring.
2026-04
GitHub
Abstractive-Health/abstractivehealth-public-scripts - GitHub
This GitHub repository provides example scripts and tutorials for integrating with the Abstractive Health API, which offers capabilities for medical document retrieval, processing, and summarization through the Carequalityu00ae network.
2026-04

Videos

Product demos, reviews, and walkthroughs for Abstractive Health API.

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Frequently Asked Questions

The Abstractive Health API can integrate with your EHR to provide real-time summaries of patient data, highlight critical information, and flag potential issues based on the latest medical guidelines. This can help you quickly grasp complex patient situations and make more informed decisions.
The Abstractive Health API is designed with robust security and privacy features to ensure compliance with regulations like HIPAA and GDPR. It typically processes de-identified or anonymized data, and any handling of protected health information (PHI) would adhere to strict protocols and agreements.
While other clinical decision support tools exist, the Abstractive Health API differentiates itself through its advanced natural language processing (NLP) for abstractive summarization, aiming to provide more concise and relevant insights than keyword-based systems. Alternatives may offer different functionalities, such as drug-drug interaction checkers or guideline-specific alerts.
Pricing for the Abstractive Health API often varies based on usage, such as the volume of data processed or the number of API calls. Common models include subscription tiers, per-transaction fees, or enterprise licensing, which would be tailored to the specific needs and scale of your practice or hospital system.
While highly advanced, the Abstractive Health API's accuracy can be influenced by the quality and completeness of the input data. It excels with structured and semi-structured clinical notes but may have limitations with highly ambiguous or poorly documented information. It's a tool to augment, not replace, clinical judgment.
The Abstractive Health API is designed for flexible integration, often providing comprehensive documentation and developer support. Integration complexity can vary depending on your specific EHR system and its existing API capabilities, but it generally involves standard API protocols for data exchange.
Yes, the Abstractive Health API can often be configured and fine-tuned to align with specific clinical guidelines, terminologies, and workflows relevant to your medical specialty. This customization helps ensure the generated insights are highly pertinent to your practice.

Compare Abstractive Health API

VS
OpenEvidence vs Abstractive Health API
Clinical Decision Support & Reference Adjacent · 75/100
OpenEvidence is a direct-to-clinician platform providing immediate, referenced answers from medical literature and tools for clinical documentation. Abstractive Health API, while offering similar core functionalities like clinical question…
VS
Heidi Health vs Abstractive Health API
Clinical Decision Support & Reference Adjacent · 65/100
Heidi Health is an AI medical scribe and care partner platform that focuses on automating clinical documentation, evidence search, and patient communication during and after consultations. Abstractive Health…
VS
eCARTv5 Clinical Deterioration Suite (“eCART”) vs Abstractive Health API
Clinical Decision Support & Reference Adjacent · 65/100
Tool A, AgileMD's eCARTv5, is an FDA-cleared clinical decision support system focused on predicting patient deterioration and guiding care with clinical pathways. Tool B, Abstractive Health API, offers…
VS
BriefCase vs Abstractive Health API
Clinical Decision Support & Reference Adjacent · 60/100
BriefCase focuses on AI-powered communication and collaboration for critical medical imaging findings, primarily for radiologists and care teams to triage urgent cases. Abstractive Health's API, on the other…

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Suggest an Edit → | Last Verified: 2026-07-03 | First Added: 2026-07-03
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