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.
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.
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.
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.
Connect the Dots at HIMSS 2018
Join eviCore healthcare and our QPID Health innovation team at HIMSS 2018 in Las Vegas March 6-8. We are showcasing our solutions to reduce operating costs and generate revenue. Automated prior authorization streamlines what has been a costly and largely manual process. And the CCM Optimizer uses data in the EHR to expedite billing for CMS’ Chronic Care Management program, generating millions in revenue from care you already provide.
[Webinar] Chronic Care Management: Overcoming Barriers to Success and Ensuring ROI
Join Dr. Bret Shillingstad and Jeff St. Vrain as they discuss strategies for success under the CMS Chronic Care Management (CCM) program. They share best practices for patient consent and compliance; how QPID can make reporting and billing easy; and strategies to ensure ROI. Now available to listen to on demand.
we are hiring
We Are Hiring!
QPID Health is growing and we are looking for exceptional people to join us. Scrum Masters, NLP Engineers, Data Scientists and Sales Development Representatives should check our Careers page and search for “QPID.” Or simply email us at email@example.com.
eviCore CDSM Announcement
CMS Fully Qualifies eviCore’s Clinical Decision Support Tool
QPID Health parent company eviCore healthcare has announced that its clinical decision support (CDS) solution is among only 7 receiving “full qualification” from CMS, which has mandated use of CDS for advanced imaging starting in 2020. The tool incorporates appropriate use criteria from Medical Guidelines, Inc., which also received approval as a Provider Led Entity.
QPID Health now part of eviCore healthcare
QPID Health joins evidence-based care leader eviCore healthcare
eviCore healthcare, a company committed to enabling better outcomes for patients, payers and providers through advanced medical benefits management, has acquired Boston-based QPID Health. The combined entity will support healthcare’s shift to value-based care with advanced analytics, software and services to support payers, hospitals, physicians and patients.
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.