Assure FHIR data ingestion is accurate for Patients & Healthcare Personnel. Audit the relationships of Column Names & Data Values from EMR, EHR, HL7.. with Probabilistic matching along with validation of the completeness with data profiling analytic statistics. Rejecting bad and missing data as well Outliers & invalid data patterns, determining human error of mechanical issues will be flagged and stored in a rejection error file prior to missing or errored data being ingested into & corrupting the FHIR repository.
Automated Data Mapping using probabilistic matching with secure End2End-Encryption.
This Spark 3.5, Java, Spring Swagger Framework offers scalability, accuracy, low latency for all data migration processes.
Added security with BDR’s Multi-Factor Authentication; AES 256 Encryption of FHIR, Data & Class Codes, prevents hackers from reengineering code.
We protect Data for CCPA, HIPAA, GDPR & most all Data Regulations.
Video https://youtu.be/FpyhA6W1Rdg
BDR 847-440-4439
#FHIR #HL7 #CCPA #GDPR #AWS #Encryption #Breach #Microsoft #MySQL #Oracle #Spark #PII #ML #CIO #Data Lake #Azure #Google #Cloud #Big Data #Apple #MDM #HIPAA #Healthcare #CMS #PHI #Hack #Java #Spring #Java #Hibernate #Cyber Security #2-Factor #FHIR #EMR #EHR #BigQuery #Data Migration #Data Mapping