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Healthcare information relies on numerous codesets for classification and designation.  Provider codesets are dynamic and managing different versions of these codesets and their associated crosswalks between them is critical.  Errors in translation result in delayed services and payment.  Semantic technologies can enable the effective management of these codesets as well as extend their value to […]

Learn how MarkLogic supports healthcare payer systems modernization and digital transformation with an operational data Hub and MPI.

Operational Data Store and MPI for Medicaid Transformation

Roundtable discussing the challenges the State of New Mexico and others faced in their Medicaid modernization programs, lessons learned, best practices, and areas they plan to continue to improve and invest in.

MarkLogicのスマートマスタリングクイックスタートサービスは、主要コンポーネントを使ってマスターデータ管理の問題を解決するものです。

MarkLogicには、世界中の金融機関の複雑なデータ課題の解決に成功してきた長年の実績があります。MarkLogicのデータハブプラットフォームでデータアセット管理を改善することにより、複雑な規制への対応、革新的な新商品の開発、洗練された顧客への対応を実現する方法についてご確認ください。

By organizing HR data around an operational data hub (ODH), you can provide – in a straightforward manner – the data your systems need to run without changing your existing data architecture, and ensure the all-important security of your HR data at the same time.

Organiser la gestion des données RH autour d’un Data Hub opérationnel permet de fournir simplement les données dont vos systèmes ont besoin pour fonctionner, sans modifier votre architecture de données existantes, en garantissant la sécurité indispensable aux données RH.

La transformation digitale RH conduit à une multiplication des applications : pour pouvoir répondre en toute agilité aux différents besoins métiers, il est souvent nécessaire de mettre en place rapidement de nouveaux systèmes et d’exploiter des technologies diverses. 

Digital transformation in HR has brought about a considerable increase in the number of applications we use. Now, in order to respond – with agility – to the various business needs, firms often have to quickly set up new systems and operate multiple technologies. How can interfaces needed for all of the applications that use this data be quickly built?