Slingshot
Slingshot, based in San Francisco, CA, utilizes AI to enhance healthcare payment integrity by automating coding and clinical validation to ensure accurate medical billing.
Services
Slingshot primarily focuses on analyzing medical records to determine if diagnoses are supported by clinical evidence. The company aims to save patients money by addressing inflated and erroneous medical bills. Utilizes AI to automate coding and clinical validation, Slingshot helps improve selection by identifying the least supported claims in medical records. They also offer an API built for payment integrity teams, designed to speed up their processes, and provide models that extract clinical indicators to save reviewers' time.
Technology and Security
Slingshot ensures that data security is a top priority by employing AES 256 encryption and TLS to protect sensitive information. The company is HIPAA compliant and holds SOC2 Type 2 certification, guaranteeing that they meet high standards for security policies and procedures. In addition, they monitor model performance metrics such as accuracy, precision, recall, drift, and F1-score to ensure high levels of accuracy and operational efficiency.
Healthcare Sector Focus
Slingshot operates within the healthcare industry, particularly focusing on clinical validation and medical records analysis. Their services are tailored to payment integrity teams, helping them automate processes and reduce errors in medical billing. By implementing a repeatable process based on clinical guidelines, Slingshot offers configurable clinical criteria suited for different medical plans, aiming for high accuracy and reliability.
Company Background
Founded in San Francisco, CA, Slingshot is a healthcare company that began its journey in the Y-Combinator S22 batch. The team consists of 4 members and operates within the United States of America and the America/Canada regions. The company leverages artificial intelligence to streamline the validation of clinical diagnoses and medical billing, with a strong emphasis on data security and regulatory compliance.