System Migrations

WE UNDERSTAND YOUR CHALLENGES

Data Gaps Lead to Medication Errors

When implementing new healthcare IT systems, the migration of data is an incredibly complex, delicate, and important process. Medication details must be accurately entered into the new system as discrete data, which can be costly and time-consuming. Many organizations lack the time and in-house resources for effective data migration, leading to manual efforts after go-live or the need to hire an army of consultants.

WE HAVE YOUR SOLUTION

Smart Data Migration With Less Manual Entry

DrFirst system migrations technology cleans and structures patient medication, allergy, and immunization history into discrete, codified elements in your new system. Make data from multiple sources accessible by synthesizing free-text into digestible information in your EHR.

This intelligent, cloud-based service supports a data-at-rest batch process for one-time data migration and various real-time integrations for ongoing data feeds. Both models ensure that patient medication data retains clinical intent and accuracy across disparate sources, is migrated quickly and at significant cost savings, and improves patient safety.

What is Clinical-Grade AI? 

Migrating EHR Data Without the Manual Entry, Errors, or Overhead 

When you think about manually entering information into a single patient record, the process seems tedious yet manageable. But what about when healthcare organizations need to transfer and translate large amounts of patient data from multiple electronic health record (EHR) systems to one enterprise-wide system?

The DrFirst system migration solution eases that process for your hospital or health system by using clinical-grade AI to:

• Understand clinical meaning with context. 

• Identify drugs with mismatched or missing NDCs. 

• Process data into discrete fields. 

• Infer missing pieces of data. 

• Convert legacy data into the nomenclature of the receiving system. 

With complete, clean data, you can prevent transcription errors and adverse drug events that occur when medication and allergy data arrives as a block of text rather than in discrete fields in the medical record.