Integrate clinical and external data to improve population health 

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Break down data silos and develop holistic views of patients

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The lack of industry-wide data interoperability makes it difficult for healthcare organizations (HCOs) to gain insights from siloed data for more effective population health management. External pressures like reimbursement reduction, clinical quality reporting mandates and price transparency rules further underscore the importance of bringing together diverse data sources. To meet these challenges, AWS and Infor partnered to provide HCOs with a suite of solutions that provide end-to-end data integration, modernization and built-in 

artificial intelligence (AI) and machine learning (ML) tools to improve clinical quality reporting and drive population health initiatives.

Discover how the AWS-Infor partnership helps HCOs:

  • Connect and integrate disparate healthcare IT systems and workflows to build a single unified patient view
  • Transform unstructured data with integrated natural language processing (NLP) capabilities
  • Produce a coherent, unified view of costs along the healthcare supply chain, supporting compliance with price transparency laws



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