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Mastering healthcare data governance with data lineage

IBM Services

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

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Helping enterprises across regulated industries leverage hybrid cloud and AI

IBM Services

For those in even the most highly regulated industries, we have seen these challenges continue to grow as they navigate changing regulations. These solutions include ones that are designed to help facilitate their secured exchange of healthcare data. ” – Tomas Alberola, Virtual Agents Manager, Masorange.

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Unpacking Business Transformation in Healthcare and Life Sciences

Perficient Digital Transformation

In our previous article , we illuminated the significance of business transformation for life sciences and healthcare organizations (LS/HCOs). We delved into the anticipated value and pivotal roles these initiatives play in shaping a modern healthcare environment. This promotes collaboration and fuels innovation.

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How cross-industry data collaboration powers innovation

Capgemini

But developing innovations through cross-industry partnerships must involve coordinated data collaboration. “ WE’VE SEEN AN INCREASE IN THE NUMBER OF CUSTOMERS WHO WANT TO COLLABORATE ON DATA FROM OTHER INDUSTRIES TO SPUR NEW IDEAS.” ” Examples of cross-industry data collaboration.

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Elastic Cloud Enterprise for regulated corporate search

Perficient Digital Transformation

Regulated industries, such as financial and healthcare companies, often need to make hard choices when is comes to balancing innovation and compliance. Summary There are challenges in building robust solutions for regulated clients while maintaining strict compliance with internal and external regulations, standards and best practices.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Services

This is where AI governance comes into play: addressing these potential and inevitable problems of adoption. AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML).

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Optimizing Medication Management: How AWS ETL Transforms Healthcare Data for a Leading PBM

Perficient Digital Transformation

Perficient is at the forefront of managing and developing applications for numerous clients in the Healthcare sector. A PBM company collaborates with various government entities, employers, and insurance companies to manage, administer, and execute prescription drug benefits within health plans.