Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Utilize Amazon Comprehend Medical to derive insights from unstructured data, facilitating efficient search and query processes. Forecast health-related trends through Amazon Athena queries, alongside Amazon SageMaker machine learning models and Amazon QuickSight analytics. Ensure compliance with interoperable standards, including the Fast Healthcare Interoperability Resources (FHIR). Leverage cloud-based medical imaging applications to enhance scalability and minimize expenses. AWS HealthLake, a service eligible for HIPAA compliance, provides healthcare and life sciences organizations with a sequential overview of individual and population health data, enabling large-scale querying and analysis. Employ advanced analytical tools and machine learning models to examine population health patterns, anticipate outcomes, and manage expenses effectively. Recognize areas to improve care and implement targeted interventions by tracking patient journeys over time. Furthermore, enhance appointment scheduling and reduce unnecessary medical procedures through the application of sophisticated analytics and machine learning on newly structured data. This comprehensive approach to healthcare data management fosters improved patient outcomes and operational efficiencies.

Description

ZSegment is an innovative cloud-native interface engine developed by 314e Corporation, tailored to effortlessly link and unify clinical, financial, and administrative systems within healthcare organizations. With an impressive array of over 300 components, it facilitates real-time metrics grounded in open telemetry standards and is built on a Kubernetes-native framework utilizing Apache Camel to provide scalability, adaptability, and user-friendly customization options including version control (Git) and native custom schema support for HL7 v2, FHIR, X12, and CCD. Additionally, it boasts visual tools for message routing, Groovy scripting for data transformations, and secure message delivery through various protocols such as File, FTP, HTTP(S), and TCP. The platform also includes features like message indexing, tracing, editing/resubmission capabilities, and the ability to define custom jobs for data hygiene and operational oversight. As a modern alternative to traditional on-premise interface engines like Mirth Connect, ZSegment helps organizations reduce hardware procurement expenses and high licensing fees, making it a cost-effective solution for enhancing interoperability in healthcare systems. Furthermore, its cloud-native design means that organizations can quickly adapt to evolving demands without the constraints of legacy infrastructure.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services Yes 
Amazon Athena Yes 
Amazon QuickSight Yes 
Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Apache Camel No 
Apache Groovy No 
Git No 
Kubernetes No 
Mirth Connect No 

Integrations

AWS AI Services No 
Amazon Athena No 
Amazon QuickSight No 
Amazon SageMaker No 
Amazon Web Services (AWS) No 
Apache Camel Yes 
Apache Groovy Yes 
Git Yes 
Kubernetes Yes 
Mirth Connect Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/healthlake/

Vendor Details

Company Name

314e Corporation

Founded

2004

Country

United States

Website

www.314e.com/zsegment/

Alternatives

HealthAPIx Reviews

HealthAPIx

Google

Alternatives

Mirth Connect Reviews

Mirth Connect

NextGen Healthcare
MedicaSoft NXT Reviews

MedicaSoft NXT

MedicaSoft
Iguana Reviews

Iguana

iNTERFACEWARE
OpenShare Reviews

OpenShare

Saga IT