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ease
features
design
support

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Description

Healthcare institutions allocate significant time, resources, and finances toward EHR solutions to adhere to best practices and enhance patient outcomes, leaning heavily on effective clinical decision support (CDS) to achieve these objectives. However, the challenge lies in assessing which CDS initiatives within your EHR are proving to be successful or ineffective. FDB CDS Analytics equips you and your organization with robust tools that enable easy identification, monitoring, and personalization of clinical decision support, ultimately enhancing clinician experiences and amplifying the impact of CDS. With user-friendly dashboards, you can observe trends across your organization and delve into specifics at both the departmental and individual user levels. The solution offers pre-configured CDS monitoring and reporting metrics to facilitate a quick start, helping you determine the optimal timing for information delivery in the workflow. Additionally, you can track the long-term effects of clinical decision support and keep an eye on the most frequently triggered medication alerts, allowing you to concentrate customization efforts on areas that yield the greatest impact. This comprehensive analytics approach not only streamlines decision-making processes but also fosters continuous improvement in healthcare delivery.

Description

HIN+AI represents a mobile-centric, advanced #HealthIT solution designed around a blockchain-based electronic health record system, featuring an XDS-compatible clinical content manager, cloud-based multi-tenant patient administration system, and practice management tools with customizable data querying and analytical functions. The initial version of HIN+AI incorporates clinical decision support tools, intelligent notifications, a scheduling system with an integrated Computerized Physician Order Entry (CPOE), and a results viewer, making it a robust electronic medicine environment that securely stores your personal data on smartphones, tablets, or PCs. At its core, deep learning focuses on recognizing patterns through interconnected data points, and HIN+AI leverages these techniques to convert vast EHR datasets into meaningful knowledge and practical insights. Furthermore, the blockchain functionality of HIN+AI ensures the interoperability, integrity, and security of health data, allowing users to own and manage their data through cryptographically secured and immutable exchange systems. Additionally, it can aggregate and analyze information from various wearable health devices and sensors, enhancing the overall health management experience. This integration not only streamlines data processing but also offers comprehensive insights into individual health trends.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Juno EHR

Integrations

Juno EHR

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

First Databank

Country

United States

Website

www.fdbhealth.com/solutions/clinical-decision-support-analytics

Vendor Details

Company Name

ICT Health Technology Services India

Founded

2010

Country

United Arab Emirates

Website

www.icthealth.com

Product Features

Product Features

Hospital Management

Accounting Integration
Appointment Management
Appointment Scheduling
Bed Management
Billing & Invoicing
Claims Management
In-Patient Management
Inventory Management
Medical Billing
Out-Patient Management
Patient Records Management
Physician Management
Policy Management
Revenue Management

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