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How is Big Data Helping in the Development of Healthcare?

Analytics Vidhya

Introduction “Big data in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research. The post How is Big Data Helping in the Development of Healthcare?

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Generative AI will profoundly change healthcare operations

CIO Business Intelligence

Generative AI will significantly change how healthcare operations are conducted, establishing a new level of benchmark performance by which all payers and providers will be measured. Healthcare payers and providers are facing financial headwinds that will not subside just from cost costing or reducing labor. Here’s an example.

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO Business Intelligence

The LLMs, algorithms, and structures that a healthcare payer or provider interacts with represent the visible part of the iceberg. This is where the healthcare industry has a distinct advantage because payers and providers are sitting on an enormous amount of existing data. Consider the iceberg analogy.

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Generative AI will be the key to achieving patient-centric care

CIO Business Intelligence

Both healthcare payers and providers remain cautious about how to use this latest version of artificial intelligence, and rightfully so. Specifically for healthcare payers and providers, EXL has developed AI-based solutions for clinical operations to transform end-to-end patient or member management.

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Cloud Technology is the Future of Medical Billing Software

Smart Data Collective

When a claim is created, the biller must check it carefully for compliance with payer and HIPPA guidelines, including medical coding standards. By adjudicating a medical claim, payers assess its validity and compliance and determine whether a provider will receive reimbursement. Claims Submission. Monitor Claim Adjudication.

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Implementing a Pharma Data Mesh using DataOps

DataKitchen

It then gets used by the physician and payer data warehouses which are eventually used by the self-service teams. We would not want the physician data set in the physician domain and the payer domain to drift apart or get “out of sync,” which might happen if they are updated on different iteration cadences.

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IBM Cloud for Payments is an imperative, not a nice-to-have

IBM Big Data Hub

In a nutshell, a payment rail is a platform or network infrastructure that allows all digital money transfers to be made between payers and payees, regardless of country, currency, payment method, channel or persona (whether the payer or payee is a business or consumer).