Enterprise-grade AI solutions platform designed to deliver significant efficiency gains in your RCM operations.
An AI solution which automatically infers medical codes from clinician notes for billing the insurance provider. Traditionally, medical coding a batch of charts can takes days or weeks, and can be very costly. With mCoder™, a significant portion can be done in seconds, and at a fraction of traditional costs.
The input is one or more clinician notes in the HL7 file format. De-identification can occur in the Data Connector stage.
The output for a given chart is available in JSON or CSV format, and may contain either the medical codes (CPT, ICD-10, Modifiers and PQRS); or, a recommendation that your coding team process the chart instead of AI, with reasons why.
The I/O is facilitated via API, SFTP, and / or direct processing from your AWS S3 bucket.
Spending too much time and money collecting patient payments?
m360™ will change that and significantly improve your patient collections. Powered by Minset's novel Propensity to Pay Artificial Intelligence, the system segments accounts by payment probability to increase patient collections and reduce the time and cost to collect.
Agent productivity is maximized by enabling tailored call campaigns to improve patient satisfaction. Additionally, m360™ identifies performance improvement opportunities and eliminates costly tasks that are not value added.
The system has five components, customized based on your specific patient collections challenges. These include: ingestion, segmentation, prioritization & routing, performance management and continuous improvement.
An AI-based BI solution to visualize and discover insights from your organization's healthcare data to help reduce operating costs and offer higher quality services to patients.
The input is one or more data types provided for the other Minset solutions. E.g. de-identified clinician notes in the HL7 file format and / or account records containing common fields used in debt collection.
The output is an online, interactive dashboard experience, and / or, a PDF report representing the information in the dashboard.
The I/O is facilitated via API, SFTP, and / or direct processing from your AWS S3 bucket.
Our RCM solution set is growing, but may not have the specific scenario you wish to address yet. Or, we have the solution of interest, but there are features you wish could be added or customized to your needs.
If any of the above are true, let's have a conversation about leveraging our Data Science as a Service (DSaaS) to help address your needs. Combined with DSaaS and other customization efforts, we are able to adjust or create a new solution as per your requirements.
To get started with Minset, you may decide first if you would like to optionally fine-tune the system's AI models to your dataset. The advantage of doing so is that fine-tuning typically yields superior accuracy. This works intuitively as the solutions are more in tune with your data and therefore, the way you do business.