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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Dynamic Health serves as a comprehensive, evidence-driven resource aimed at empowering nurses and allied health practitioners to enhance their skills, quickly find answers to clinical queries, and cultivate a commitment to evidence-based practices and critical analysis that ultimately leads to better patient care. The EBSCO team has expanded the already extensive content of Dynamic Health, now incorporating detailed discussions on evidence-based topics related to diseases and conditions, including their signs, symptoms, diagnostic tests, and care interventions, all tailored to meet the decision-making requirements of healthcare professionals. Furthermore, Dynamic Health simplifies the process of obtaining continuing education units (CEUs) through its integrated learning system, allowing users to earn credits while addressing clinical inquiries. This resource also provides a comprehensive overview of various diseases and conditions, along with valuable insights on abnormalities that may signify underlying medical issues, thereby enhancing the interprofessional team's ability to deliver quality care. By bridging the gap between knowledge and practice, Dynamic Health equips healthcare providers with the necessary tools to support informed decision-making and improve overall patient outcomes.

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

No details available.

Integrations

No details available.

Pricing Details

Free
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

EBSCO

Country

United States

Website

www.ebsco.com/health-care/products/dynamic-health

Vendor Details

Company Name

ICT Health Technology Services India

Founded

2010

Country

United Arab Emirates

Website

www.icthealth.com

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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