Sancare develops machine learning software that automates the coding of hospital stays by predicting diagnoses from electronic patient records. This solution enhances the accuracy and efficiency of medical coding processes, improving administrative and financial operations within healthcare institutions.
Funding
$5.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Hospital stays generate large amounts of data that must be coded for billing and administrative purposes, a process that is often manual, time-consuming, and prone to errors. Inaccurate or incomplete coding can lead to revenue loss, compliance issues, and difficulties in data analysis for healthcare management.
Solution
Sancare offers a machine-learning-based software solution designed to automate and improve the accuracy of hospital stay coding. By analyzing electronic patient records, the software predicts diagnoses, streamlining the coding process for medical information departments. The tool operates within the hospital's existing information system, ensuring data security and eliminating the need for external data transfer. Sancare's solution enables healthcare institutions to automate coding tasks, improve coding accuracy, enhance quality control through data source visualization, and ultimately optimize revenue and administrative efficiency.
Target Audience
Sancare's primary target audience is medical information departments within hospitals and healthcare institutions responsible for coding and billing of patient stays.
Features
- Machine learning algorithms to predict diagnoses from electronic patient records.
- Automated coding suggestions with confidence levels for each prediction.
- Data source visualization and tracing for enhanced quality control and auditability.
- Secure, on-premise deployment within the hospital's IT infrastructure.
- Integration with existing hospital information systems.