1. A thorough tabulation provided in summary reports of all health related
events found in a EHR patient chart/CCDA,
including
300+ CMS healthcare quality indicators required of providers in
acute or ambulatory settings.
2. A statistically complete
analysis of each
EHR patient chart
with a summary of statistics
relevant to your tort: i.e. Severity of illness index, Rx Summary, DRG/MDC
indices,
length and frequency of tiered levels of care.
3. A comprehensive categorization of medical events in a EHR
patient chart by Incorporating all relevant National Library of Medicine
code and value systems including:
•ICD - International Classification of Diseases
•CPT - Current Procedural Terminology
•SNOMED CT - Systemized Nomenclature of Medicine – Clinical
Terms
•RxNorm - Medication Value Sets
•LOINC - Logical Observation Identifier Names and Codes
•CDT – Code on Dental Procedures and Nomenclature
•CVX - Vaccine codeset CDC National Center of Immunization and
Respiratory Diseases (NCIRD)
•HL7 - Health Level Seven International® - Administrative
patient and quality chart standards
•ICF—International Classification of Functioning, Disability,
and Health
•NHSN Healthcare Facility Patient Care Location
•VSAC - Value Set Authority Center
•NUCC – National Uniform Claim Committee•Source of Payment
Typology (National Association of Health Data Organizations [NAHDO])
•UCUM – The Unified Code for Units of Measure
4.
Established secure Medicare/CMS patient data acquisition
processes that minimize impact on provider workflows while
simultaneously acquiring complete patient datasets while
strictly complying with HIPAA regulations.
5.
Mass tort and Class action analysis tools that provide the following
benefits:
Population
summary analysis option which
proposes specialist categories for expert witnesses
appropriate for target clients.
Locale
specific analysis option with designated
proximity zones to ground zero.
Claims
AI
correlator that sorts according to economic and
medical parameters with Cull Summary Standards set by your
administrative and medical staff to segregate illegitimate and
low value claims from high value claims
Integration
with public, industry
and patient specific
datasets to assist you
in evaluating
and predicting risk and enhancing operational efficiency, and compare them to national trends and averages.