Slingshot Documentation

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Claim

Slingshot is an API powered by Artificial Intelligence that analyzes medical records to determine whether diagnoses, procedures, events, and other medical concepts are present and supported in the record.  

Introduction

Rollouts

The clinical entities that can be validated by the API

Supported Entities

Security

Updates including new features, bug fixes, and performance improvements

Changelog

Validate Claims through Discharge Summary Analysis: This endpoint is designed to analyze hospital discharge summaries for the clinical validation of claims, ensuring accuracy and compliance in claim processing. It returns a determination, confidence score, and supporting evidence. The determination is based on the clinical criteria and the evidence found in the discharge summary. The confidence score is a value between 0 and 1, with 1 being the highest confidence. The supporting evidence is the clinical criteria and the source of the evidence.

Validate Claim

Query Analyzed Claims: This endpoint enables efficient retrieval of previously analyzed claims, streamlining access to their details and statuses for review and further action and limiting repeat analysis.

Query Claim

Updates the Status of an Analyzed Claim: This endpoint facilitates updating the status of a previously reviewed claim. While its usage is optional, employing this endpoint enhances claim management efficiency and contributes to performance optimization. Utilizing this feature provides access to valuable metrics, including model drift, precision, and granularity, aiding in the continuous improvement of claim validation.