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NANO DRG
Renders code-independent patient classification and severity adjustment
Provides 100% accurate Diagnosis Related Group (DRG) Assignment. The DRG is calculated from the entered ICD-10-CM diagnosis and procedure information and is the same as the CMS Medicare MS-DRG. The DRG is calculated from the entered ICD-10-CM diagnosis and procedure information and is the same as the CMS Medicare MS-DRG.
Nano DRG Grouper is used to group medical records, based on both clinical (diagnoses & procedures, coded in ICD-10-AM) and demographic knowledge (e.g. age, gender, etc.), for critical hospital stays into DRGs and Major Diagnostic Categories (MDCs).
Ease of integration and deriving insights from medical data
Nano DRG Grouper empowers you to integrate and examine medical data to deliver patient care more efficiently and derive insights that can enhance medical results while preserving the security and privacy of the data to incorporates procuring, registering, processing, coding, outputting, retrieving and saving of data associated in the different areas of health care, for example at the level of health care providers (physicians, hospitals, pharmacies and other health care facilities) and the level of health care payers (health insurances, social insurances). Health data administration also encompasses the validation and power of data according to juridical or professional requirements.
DRG Grouping Algorithms
The diagnostic grouping is based on the diagnosis describing the patient’s condition or ICD-9-CM codes, the surgical procedures performed (if any) or ICD-9-CM codes, patient age, and discharge status. The classifications are marked using groupings connected to DRG code, and the number of codes varies depending on the elected patient classification model, taking into consideration the key elements.
Scrubber Coding Rules Engine
Nano DRG coding rules engine effects production rules that execute decisions and connects to inpatient state transitions. In the sustenance, the rule engine further improvises variations in rules that might occur due to variations in the clinical specifications that transpire over
Competing advantage
Powerful performance, easy to integrate into current processing solutions. Simultaneous ICD-9 and ICD-10 code set guide in one grouper solution for MS-DRG claims.
Return on investment
Reduce outpatient claim errors and provide a regulatory-compliant DRG assignment for many target platforms
Powerful performance, easy to integrate into current processing solutions. Simultaneous ICD-9 and ICD-10 code set guide in one grouper solution for MS-DRG claims.
Features
- Compensation of inpatient hospital stays
- Usefulness to generate statistical reports
- Ease of efforts for a revision of existing or introduction of a new functionality
- Easy enhancement and augmentation of medical diagnoses and procedures
- Real-time configuration and administration of information to the current software
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