Skip to content
Effectuez une recherche pour en savoir plus sur les produits et solutions InterSystems, les offres d'emploi, etc.

InterSystems Introduces HealthShare Message Transformation Service as Part of the Amazon HealthLake Launch

Cloud-based, On-Demand Message Transformation for Amazon HealthLake

Recently, we announced the availability of InterSystems HealthShare Message Transformation Service (now named InterSystems FHIR® Transformation Service). Developed for use with Amazon HealthLake, the on-demand service enables healthcare providers, payers, and pharmaceutical companies to convert their existing data formats to FHIR standards to populate Amazon HealthLake and extract the most value from their data.

Making it Easier to Analyze Health Data at Scale

Amazon HealthLake is a HIPAA-eligible service designed to store, transform, query, and analyze health data at scale. Using the HealthLake APIs, organizations can easily store health data already in the HL7® FHIR® industry standard in a secure data lake in the cloud. But, many healthcare systems, labs, and pharmacies still have most of their data in non-FHIR formats such as HL7 V2 – impeding interoperability and the ability to derive full value from their data.

AWS selected InterSystems as one of the Amazon HealthLake Connector Partners to develop and introduce complementary products to coincide with the launch of Amazon HealthLake. Solutions such as InterSystems HealthShare Message Transformation Service, which is part of the InterSystems HealthShare suite of products, enable users to fully leverage products such as Amazon HealthLake to derive meaningful insights from their data, like examining trends such as disease progression at the individual or population health level over time, spotting opportunities for early intervention, and delivering personalized medicine.

“As an Advanced Technology Partner of AWS – and having achieved the AWS Healthcare ISV Competency Designation – InterSystems continues to assert our position as a leader in interoperability and healthcare customer success,” said Don Woodlock, Head of Healthcare Solutions for InterSystems. “We welcome opportunities like these that encourage and enable interoperability for healthcare organizations looking to get the most out of their data.”

Transforming EHR Data to FHIR for Advanced Analytics and Decision Support

“With the use of the HealthShare Message Transformation Service by InterSystems and Amazon HealthLake, we will be able to access and transform molecular profile data from the EHR into FHIR to run advanced analytics and algorithms, providing clinical decision support to assist oncologists with personalized cancer treatment options,” said Philippe Faurie, Vice President of Professional Services at CureMatch™, Inc. a San Diego-based digital health company focused on personalized medicine and combination therapy in oncology.”

As the first official software-as-a-service (SaaS) offering from InterSystems, HealthShare Message Transformation Service promotes interoperability by making health data conversion more easily and securely accessible. It is delivered in an automated, single interface, making it easy to manage, consume, and scale.

Better Outcomes at Lower Cost

“Healthcare and life sciences organizations are increasingly looking to use health data more effectively to enable better health care outcomes by revealing relationships in data, discovering trends, and making precise predictions. However, the cost and operational complexity of this work is prohibitive to many organizations,” said Dr. Taha Kass-Hout, Director of Machine Learning at AWS. “With InterSystems as an Amazon HealthLake Connector Partner, customers who do not already have data in the FHIR format can leverage their offerings, such as InterSystems HealthShare Message Transformation Service, to translate legacy clinical data (e.g., HL7, CSV, CCA) and move it to Amazon HealthLake as standardized FHIR records. Amazon HealthLake enables customers to easily apply advanced analytics, making it easier for researchers and practitioners to collaborate and accelerate breakthroughs in treatments, discover health trends, and deliver a better experience and care for patients.”

InterSystems HealthShare Message Transformation Service is available via a consumption-based model, allowing organizations of any size or specialization to take advantage of the service and scale their use as needs fluctuate. This collaboration represents a deepening of the relationship between InterSystems and AWS, which includes the availability of InterSystems IRIS data platform on AWS Quick Start. InterSystems is also collaborating with AWS on their AWS for Health initiative, helping accelerate Health IT initiatives and simplify interoperability for healthcare organizations.

Read the full press release


This story originally appeared the HealthShare Connections News Flash No.7 – October 26, 2021

Autres Ressources Que vous Pourriez Apprécier

20 Aug 2025
Principes de base
Découvrez 11 types de bases de données dans notre guide complet. Découvrez leurs fonctionnalités et leurs cas d'utilisation, et voyez comment InterSystems IRIS prend en charge un grand nombre d'entre eux pour une performance supérieure.
18 Aug 2025
SantExpo 2025
Cette vidéo met en lumière une initiative innovante en Mayenne pour renforcer la coordination entre la ville et l’hôpital, tout en favorisant la prévention, le partage sécurisé d’informations médicales et la réduction des inégalités d’accès aux soins.
18 Aug 2025
SantExpo 2025
Retour d’expérience sur l’implémentation d’une plateforme FHIR au CHU de Toulouse.
18 Aug 2025
SantExpo 2025
Retour d'expérience du GHT de la Mayenne & du Haut Anjou sur l'utilisation de la plateforme MayVilleHop : coordination Ville Hôpital, mise en place de parcours de soins et responsabilité populationnelle.
18 Aug 2025
SantExpo 2025
Revivez les temps forts de SantExpo 2025, qui s’est tenu les 20, 21 et 22 mai dernier ! Cette année encore, l’événement incontournable a été riche en échanges, démonstrations et réflexions autour des grands enjeux de la santé numérique. Au cœur des discussions et des dernières innovations présentées :
08 Aug 2025
EMC Healthcare
Mr Jusup Halimi, CEO, and Dr Bella Desra Andae, Medical Informatics Specialist, at EMC Healthcare describe their EHR journey with InterSystems – implementing a unified EHR across eight hospitals in 18 months to moving to an AI-powered EHR system.
06 Aug 2025
HIMSS Market Insights Infographic
One Patient, One Record Healthcare organizations rely on a wide range of systems to deliver care — from EHRs and pharmacy software to scheduling tools and billing platforms. But when each system stores patient data separately, inconsistencies, duplicate records and identity challenges can disrupt care and limit AI implementation, workflow optimization and data exchange. Recent HIMSS Market Insights research confirms that healthcare leaders recognize the strategic importance of accurate patient identity data, yet persistent issues continue to undermine progress.
29 Jul 2025
Celent
Banks are among the most data-intensive institutions—almost everything a bank does is based on digital processing and data analytics, including advanced analytics and models. For banks, their data is the business.
29 Jul 2025
IDC InfoBrief
Dans le paysage de santé en rapide évolution d’aujourd’hui, la mise en œuvre stratégique et l’optimisation des systèmes avancés de Dossier Patient Informatisé (DPI) demeurent primordiales, en dépit des investissements importants déjà réalisés dans ce domaine. Télécharger l'InfoBrief d'IDC

Passez à l'étape suivante

Nous serions ravis d'échanger avec vous. Remplissez les champs suivants et nous vous recontacterons.
*Champs obligatoires
*Champs obligatoires
*Champs obligatoires
*Champs obligatoires
** En cochant cette case, vous consentez à recevoir des actualités, des mises à jour et toute autre information à objectif marketing liés aux produits et événements actuels et futurs d'InterSystems. En outre, vous consentez à ce que vos coordonnées professionnelles soient saisies dans notre solution CRM hébergée aux États-Unis, mais conservées conformément aux lois applicables en matière de protection des données.