With DTex, insurance companies could shorten the time needed to verify and process medical claims from health providers by detecting anomalies related to prescribing medications. Examples of anomalies include erroneous dosage and inappropriate prescribing of medication (by diagnosis or type of drugs).
- Industries
- Healthcare
- Insurance
- Software and platform applications
- Topics
- AI and ML
- Services
- Deployment types
- SaaS
- Languages supported
- Indonesian
- English
- Regions and countries supported
- Asia - Indonesia
By automating the detection of anomalies, DTex reduces the need for manual review of every single claim.
By detecting 'anomalies related to prescription medicines,' such as erroneous dosages or inappropriate prescribing, DTex acts as financial safeguard.
DTex acts as a safety net that can catch dangerous medical errors (like a lethal dosage or a drug that conflicts with a diagnosis).
Uses artificial intelligence to automatically flag erroneous dosages or irregular prescribing patterns.
Cross-references prescription data against diagnosis codes (ICD-X) to ensure medical necessity.
Connects directly with Electronic Medical Records (EMR) to automate data transfer and claim processing in real-time.
Information about the companies and solutions listed in this directory is provided by each company and is not validated by IBM unless otherwise noted.