Slingshot Bills

About Slingshot Bills

Slingshot Bills utilizes AI models to analyze medical records and identify unsupported claims, enhancing the efficiency of payment integrity teams. By automating clinical validation and coding processes, the platform increases accuracy and reduces the time spent on reviewing erroneous records.

```xml <problem> Payment integrity teams face challenges in efficiently identifying unsupported claims within complex medical records. Manual review processes are time-consuming and prone to errors, leading to delays in claim processing and potential financial losses. The need for accurate and repeatable clinical validation is critical for maintaining compliance and optimizing resource allocation. </problem> <solution> Slingshot Bills offers an AI-powered platform designed to automate coding and clinical validation for payment integrity. By analyzing medical records, the platform identifies unsupported claims, enabling teams to focus on the most impactful cases. The system extracts relevant clinical indicators, saving reviewers time spent searching through extensive documentation. Slingshot Bills implements a repeatable process based on configurable clinical guidelines, ensuring a high level of accuracy in claim validation. The platform's API integrates seamlessly into existing workflows, enhancing the efficiency and effectiveness of payment integrity operations. </solution> <features> - AI-driven analysis of medical records to identify unsupported claims - Extraction of clinical indicators to expedite the review process - Configurable clinical criteria to accommodate different plan requirements (e.g., Sepsis 2 vs. Sepsis 3) - Monitoring of model performance metrics, including accuracy, precision, recall, and F1-score - Secure data handling with AES 256 and TLS encryption - HIPAA compliance and SOC2 Type II certification - API for integration with existing payment integrity systems </features> <target_audience> The primary target audience includes payment integrity teams within healthcare organizations and insurance providers seeking to improve the efficiency and accuracy of medical claim reviews. </target_audience> ```

What does Slingshot Bills do?

Slingshot Bills utilizes AI models to analyze medical records and identify unsupported claims, enhancing the efficiency of payment integrity teams. By automating clinical validation and coding processes, the platform increases accuracy and reduces the time spent on reviewing erroneous records.

Where is Slingshot Bills located?

Slingshot Bills is based in San Francisco, United States.

When was Slingshot Bills founded?

Slingshot Bills was founded in 2022.

Who founded Slingshot Bills?

Slingshot Bills was founded by Pranov Duggasani.

  • Pranov Duggasani - CoFounder
Location
San Francisco, United States
Founded
2022
Employees
5 employees
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Slingshot Bills

Score: 59/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Slingshot Bills utilizes AI models to analyze medical records and identify unsupported claims, enhancing the efficiency of payment integrity teams. By automating clinical validation and coding processes, the platform increases accuracy and reduces the time spent on reviewing erroneous records.

slingshotml.com700+
cb
Crunchbase
Founded 2022San Francisco, United States

Funding

No funding information available. Click "Fetch funding" to run a targeted funding scan.

Team (5+)

Pranov Duggasani

CoFounder

Spencer Lang

Founding Engineer

Company Description

Problem

Payment integrity teams face challenges in efficiently identifying unsupported claims within complex medical records. Manual review processes are time-consuming and prone to errors, leading to delays in claim processing and potential financial losses. The need for accurate and repeatable clinical validation is critical for maintaining compliance and optimizing resource allocation.

Solution

Slingshot Bills offers an AI-powered platform designed to automate coding and clinical validation for payment integrity. By analyzing medical records, the platform identifies unsupported claims, enabling teams to focus on the most impactful cases. The system extracts relevant clinical indicators, saving reviewers time spent searching through extensive documentation. Slingshot Bills implements a repeatable process based on configurable clinical guidelines, ensuring a high level of accuracy in claim validation. The platform's API integrates seamlessly into existing workflows, enhancing the efficiency and effectiveness of payment integrity operations.

Features

AI-driven analysis of medical records to identify unsupported claims

Extraction of clinical indicators to expedite the review process

Configurable clinical criteria to accommodate different plan requirements (e.g., Sepsis 2 vs. Sepsis 3)

Monitoring of model performance metrics, including accuracy, precision, recall, and F1-score

Secure data handling with AES 256 and TLS encryption

HIPAA compliance and SOC2 Type II certification

API for integration with existing payment integrity systems

Target Audience

The primary target audience includes payment integrity teams within healthcare organizations and insurance providers seeking to improve the efficiency and accuracy of medical claim reviews.

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