CDAS – Clinical Data Abstraction Services
Reliable Data Registry Services
CDAS provides Reliable data Registry Services that aid our clients in abstracting clinical data from millions of records that help build an evidence-based rationale for informed treatment choices and lower the treatment costs. Our clinician's abstract various clinical data for different registries.
Our abstraction services include:
- NCDR Registries
- Cancer Registries
- Sepsis Registries
- NTDB (National Trauma Data Standard)
- GWTG Heat Failure and Stroke Registries
- ACS NSQIP Registry
Core Measures
Submitting measures information is becoming vital for Health plans, Provides and Hospitals to demonstrate better clinical outcomes for its members.
CDAS offers clinical data abstraction services to Health plans, Providers and Hospitals. Our Al-driven clinical abstraction platform identifies and tags the clinical data accurately, required for different measure sets in the medical records. This empowers our abstractors to over-read the clinical data abstracted from the medical record in a separate screen accurately. This integrated workflow ensures higher accuracy and lower turnaround time and allows our clients to submit Measure data promptly.
Risk Adjustment
Managing risk adjustment coding requirements can be a great challenge that could have a huge impact on the revenue of health plans and medical groups. CDAS offers the expertise and experience coupled with cutting-edge technology and well-trained human resources to accurately and significantly increase the risk scores of the members, resulting in higher revenues but at the same time protect plans from CMS RADV audits. offers both retrospective and prospective risk adjustment chart review services.
Our coders use clinical cues/suspects from lab reports, medication prescriptions, etc., to identify the risk-adjusted diagnoses in the progress notes. This way, our coders are able to mine additional risk-adjusted diagnoses from progress notes and in turn, results in higher risk scores for members.
