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

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

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s