At Annova, we take pride in our track record of successfully coding millions of charts with an exceptional accuracy rate of 95% and above. Our unparalleled completion rates in Medical Record Retrieval, Medical Billing and Coding contribute to superior clinical and financial outcomes for your organization. With the robust functioning of our record retrieval experts, we have achieved over 2M chart extractions, and we set the standard for precision and accuracy.
What we Offer
Medicare HCC
- Part- C and Part-D HCC coding
- Retrospective, concurrent and prospective chart review processes
- Once a year validation (all unique ICDs or HCC categories) and encounter-wise coding (all ICDs or all HCCs per encounter)
- Claims gap and suspect HCC projects
Medicaid CDPS
- CDPS,Rx (UCSD) coding
- All ICD coding with emphasis on SDOH
- Hybrid coding models (HCC+CDPS)
HHS HCC
- Encounter-based ‘Each DOS’ Projects
- Expertise in coding pregnancy complications and delivery charts
Physician Based Coding
- Real-time HCC coding services in a concurrent prospective environment
- CDI and provider education
- CPT, HCPCS and ICD coding
- MIPS and APM measures for physician incentives
Hospital Based Coding
- Assign ICD-10-PCS and ICD-10-CM codes
- Use ICD-10 codes to assign a Medicare severity diagnosis-related group (MS-DRG)
HEDIS Measures
- Effectiveness of Care
- Access/Availability of Care
- Experience of Care
- Utilization and Risk Adjustment Utilization
- Health Plan Descriptive Information
- Measures Collected Using Electronic Clinical Data Systems
ACO Measures
- Extracting measures for MIPS, APMs and MVPs to report the categories of quality
- Promoting interoperability
- Improvement activities
- Cost
Claims Gap Analysis
- Analysis of year-on-year claims submission of members
- Retrospective reviews for missed/ dropped HCCs
- Create data base of suspect HCC list
Suspect Logic
- Hypothesis of predictive modelling
- Suspect logic creation
- Logic-driven retrospective reviews
- Application in prospective coding
Medical Record Retrieval
Quality measures extracted in 4 key domains
- Patient/Caregiver Experience
- Care Coordination/Patient Safety
- Clinical Care for At-Risk Population
- Preventive Health
Front Desk & Appointment Management
- Scheduling appointments
- Verifying patient information
- Connecting patients and clients to various departments or healthcare professionals as required
- Appointment reminders and outreach
Why choose us
Improve RAF Scores
- Access and leverage a wealth of analytics to identify opportunities across your membership data
- Improve the accuracy of your Risk Adjustment Factor by applying analytics
Multiple Data Sources
- Robust data captured from a variety of sources
- Improve ability to identify chronic conditions and implement lower-cost interventions
Probability Trend Analysis
- Utilize projected Risk Adjustment Factor (RAF) scores or suspected morbidities to identify members with diseases and care gaps.
Better Suspecting
- Minimize the false positive during suspecting
- Utilize clinical mapping to clearly differentiate between acute and chronic conditions at the ICD-10 level
Intelligent Targeting
- Employ our advanced targeting capabilities to analyze risk scores based on specific HCCs
- Robust analytics engine to clean, map and validate data, ensuring its accuracy before importing it into our data warehouse
Coding Gap Intervention
- Monitor real-time financial performance to assess the impact of coding progress
- Identify care and documentation gaps through the analysis of coding progress.
Annova Solutions Pvt. Ltd.
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