Platform Base Technology
Coeur Rule Engine
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About DRIS
Data can fundamentally transform the future of healthcare. The challenge however, is to free data from the silos in which it exists. DRIS, not only helps decommission legacy technology and consolidate data, but also mitigates the challenge of accessing data from disparate systems.
Find the Right Balance Between Care and Costs
CITI Healthcare’s Data Retention & Interoperability Solution – DRIS, has been designed to decommission legacy applications, resulting in reduced operational costs. DRIS is the right choice for organizations grappling with the rising costs of maintaining legacy applications, while trying to provide better health outcomes and experiences.

Features
Furthermore, would like to share snapshots of benefits of Coeur Rule Engine in improving RCM performance
Next-Generation Technology

Data Trends

Data Trends

Data Trends

Data Trends
Key Features
100 % evaluation of encounters against a robust suite of the rule system
20+ Million edit combination checks Advances analytics with statistics for informed decision making.
Built-in coding rules reduce analysis time by 95% and improves operational efficiency
Helps improve Coding accuracy and reduce work time of staff on claim review and working denials.
Improved resubmission recovery rates
Improves coding accuracy – (Internal and Tasneef)
Outpatient Tasneef audit scores constantly crossing 95% accuracy
Reduction in Denial% – Example: CLAI-016 (Unacceptable ICD combinations) drop to >85%
Daman new denials based on compliance with ICD-10-CM Official Guidelines for Coding and Reporting handled very efficiently through this tool.
Improves Clinical documentation – (By querying back to facility based on rules)
Improves coder’s knowledge and confidence – (By continuous reading the alerts on guidelines given by scrubber and essential Insurance updates/protocols is displayed to coders too)
Good performance monitoring tool on coder’s overall Quality – (Apart from sample audits for Tasneef requirement)
Improves JAWDA KPI
Rules are developed to monitor and alert the Coder to notify and reconfirm the reported diagnosis with Physicians.
Identifies and alerts the Coders / Submission team about the most common uncovered diagnosis prior to submission
Identifies and alerts the Coders / Submission team about not reported Authorization numbers prior to submission
Multi-modular Architecture
Security Features
- Single Sign-On with leading EHRs and External Identity Providers using Auth/Open OD connect.
- Logical and Physical Access Control with Role Based Access and Integration to LDAP/Active Directory Groups.
- User-Level Audit Trails and Reporting for Compliance, Legal and Security Teams.
- Data can be Stored Onsite with Encryption or to a High Security, HIPAA, HITRUST, SOC 2, Redundant Cloud-Hosted Environment.
- Unique Data Isolation Methodology ensures Integrity of Data Validation.
Advantage
Archive and Retrieve Data Faster
DRIS is a HIPAA compliant, standards-based, light-weight, vendor-neutral, and comprehensive repository. It is designed to archive electronic Protected Health Information (PHI) from all major enterprise databases, including; clinical, financial, human resources, payroll, ancillary payer, documents, images, and ERP applications. DRIS uses the Data Lakes ‘store-everything’ approach to allow for the storage and quick retrieval of large sets of diverse data types, which can then be processed by open sourced frameworks such as Hadoop.
Access Data When It Matters Most
DRIS allows the data to be viewed within the EHR at the point of care through its simple yet rich graphical user interface (GUI). An integrated document viewer enables viewing documents and images in various formats such as PDF, JPG, PNG, TIFF, RTF etc. DRIS also has a built-in scanning and OCR feature, and can generate PDF (PAMI) and CCDA documents from clinical information. Roles and authorizations can be customized to allow clinicians access to relevant data through their EHR, while other users such as HIM and Legal can access it directly. DRIS also makes it easy to generate reports, run queries, make parameter changes, and add filters to visualize the data, while complex processing runs in the background.