In healthcare,
Now more than ever.
We help hospitals, medical groups and health systems meet their quality goals while optimizing revenue under value-based and fee-for-service reimbursement.
Get Credit for the Care You Provide
Make the most of the information in your EHR
Our artificial intelligence (AI) engine uses natural language processing and machine learning to extract and synthesize usable clinical facts from both structured data and narrative notes in patient records. QPID’s Chronic Care Management (CCM), Clinical Decision Support and Quality Reporting applications leverage our EHR integration to optimize revenue and drive care decisions, without adding to the burden of clinical documentation or depending on costly manual abstraction.
Chronic Care Management
Ensures appropriate reimbursement from CMS’s Chronic Care Management (CCM) services program. CCM Optimizer makes it easy to bill for CCM services, without adding administrative tasks to clinicians or revenue cycle staff. Using our AI-based clinical reasoning engine to read patient records, and reporting tools in Epic and other EHRs, CCM Optimizer identifies qualifying activities and automates reporting.
Clinical Decision Support
Promotes use of evidence-based guidelines at the point of order for better-informed decisions. The eviCore CDS solution integrates with EHR and CPOE workflows and is proven to decrease unnecessary utilization of diagnostic tests and procedures. The tool has been CMS-certified as a Fully Qualified Clinical Decision Support Mechanism (CDSM) to meet the mandate to use CDS for outpatient imaging.
Quality Reporting
Improves thoroughness and reduces costs by 70% for MIPS quality reporting. Using our AI-based clinical reasoning platform to pull reporting-ready facts from patient records, QPID Quality makes it easy for both ACOs and fee-for-service organizations to report on quality measures. Supports mandated CMS Web Interface reporting for MSSP and Next Generation ACOs, and speeds reporting via qualified clinical data registries.
The Latest
Current electronic medical record systems alone are not enough to improve quality of care. Data can’t just be “big” – we want the data to be “smart.”
No one wants to return to a system reliant on manual chart-by-chart review. That’s not a sustainable model for clinicians practicing medicine today.
If we want to know how many patients were discharged on anti-psychotic drugs, we can do that in the blink of an eye versus hours and hours.