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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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How Process Mining Accelerates Efficiency for Highly Regulated, Customer-obsessed Industries

Perficient Digital Transformation

This blog was co-authored by Carl Aridas and Joel Thimsen. In the dynamic environment of highly regulated industries like healthcare and financial services, leaders often balance competing goals to delight customers while cutting costs. Build a reliable risk management strategy using accurate estimations and predictions.

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Reducing administrative burden in the healthcare industry with AI and interoperability

IBM Services

This means large amounts of data being produced, stored, and exchanged every second, which is also subject of inefficiencies and gaps in its access between patients, providers, and payers given the inconsistencies in how healthcare data interoperability standards are implemented. Why is data interoperability an imperative?

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Multicloud connectivity for regulated industry workloads on IBM Cloud

IBM Services

These requirements create a technical challenge for enterprises—especially in regulated industries (e.g., insurance, banking, healthcare, etc.)—to How are IBM Cloud regulated workloads set up and connected to other clouds? Why are regulated workload components spread across multiple clouds?

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What you need to know about the CCPA rules on AI and automated decision-making technology

IBM Services

In November 2023, the California Privacy Protection Agency (CPPA) released a set of draft regulations on the use of artificial intelligence (AI) and automated decision-making technology (ADMT). By following how the ADMT rules progress, organizations can better position themselves to comply as soon as the regulations take effect.

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Economic Oasis: Revenue Cycle Management Thriving Through Turbulent Times | Blog

Everest Group

Amid healthcare providers’ ongoing struggles with Revenue Cycle Management (RCM) inefficiencies, a new wave of outsourcing is emerging, centered around value and technology-driven solutions like AI and analytics. These issues have reduced margins and escalated providers’ workloads. in 2022 and 2023 from 54.8%

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Revolutionizing Risk: Exploring Actuarial Outsourcing in Insurance | Blog

Everest Group

Insurance companies can significantly cut operational costs by automating manual processes and eliminating the need for an extensive in-house team Resource scalability: Actuarial workload fluctuates frequently, making maintaining an appropriately sized in-house team difficult.