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"AI-enabled healthcare data migration: Benefits guide"

In this playbook, you’ll discover 4 common challenges of healthcare data migration and how to avoid them with an AI-powered approach.

In 2024, there was a 36% rise in hospital mergers compared to 2022, according to a Kaufman Hall report. Increasing mergers means increasing healthcare data migrations, and such migrations are hindered by various challenges. This playbook unpacks 4 of the top issues, including inconsistent data labeling, and offers advice for overcoming the obstacles with help from AI. 

The playbook features expert insights from chief client officer at Laitek (an Enlitic medical data management company), Doug Fiester, who digs into how poor data quality impacts clinical decision-making. Read on to learn:

• How a lack of interoperability between IT and data systems during migration exacerbates healthcare data-quality issues
• How AI-enabled data migration can accelerate the process and automatically complete and correct data labels
• How Enlitic can support healthcare organizations through data migration

Offered Free by: Healthcare Dive's studioID and Enlitic
See All Resources from: Healthcare Dive's studioID and Enlitic