Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Over 70% of healthcare information is contained within clinical documents, including reports, patient charts, clinician notes, and discharge summaries, allowing our specialized Natural Language Processing and AI Engine to extract essential concepts, attributes, and contextual information that drive business insights, enhance billing processes, assess and categorize patient risks, calculate quality metrics, and gather patient sentiment and outcome data. By tapping into difficult-to-access or previously unused data sources, you can significantly improve your clinical research or business intelligence efforts. Our extensive database features thousands of clinical concepts, including genomic biomarkers, symptoms, side effects, and medications, enabling the identification of disease characteristics and risk factors from clinical documents to better stratify patients and elevate the standard of care. Moreover, we ensure the protection of data subjects' identities while preserving the usefulness of the data through effective document de-identification strategies. This approach not only safeguards privacy but also empowers healthcare organizations to make informed decisions based on the most comprehensive data available.
Description
Address the complexities of value-based care regardless of your existing EHR system. Gain a comprehensive understanding of your patient demographics through consolidated data from various sources, presented in an intuitive visual format. Leverage data-driven insights to enhance the management of chronic diseases and facilitate smoother transitions in care, while also working to prevent illnesses, reduce costs, and enhance care management initiatives. Promote effective care coordination through tools designed for a proactive mindset, including a pre-visit dashboard, risk assessment capabilities, and automated monitoring of admission, discharge, and transfer activities. Activate care management strategies to broaden the reach of healthcare providers. Encourage essential patient interactions and ensure meaningful follow-up between visits. Utilize the Johns Hopkins ACG system for risk stratification to pinpoint patients most at risk for high-cost healthcare utilization. Efficiently allocate resources to areas where they are most urgently needed. Aim to elevate performance metrics related to quality care. Engage successfully in value-based payment initiatives and maximize reimbursement opportunities as you navigate this evolving landscape. By implementing these strategies, healthcare organizations can improve patient outcomes and foster a more sustainable care environment.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
Inspirata
Founded
2014
Country
United States
Website
www.inspirata.com/solutions/healthcare-data-analytics/
Vendor Details
Company Name
NextGen Healthcare
Founded
1974
Country
United States
Website
www.nextgen.com/how-we-help/population-health
Product Features
Population Health Management (PHM)
Analytics
Cost-of-Care Analysis
Data Storage
EMR/EHR Integration
Patient Engagement
Patient Identification
Patient Risk Stratification
Patient-Reported Outcomes
Payment Bundling
Predictive Alerts
Test & Treatment Reminders
Utilization Tracking
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Claims Processing
Adjustor Management
Case Management
Claim Resolution Tracking
Co-Pay & Deductible Tracking
Compliance Management
Customer Management
Electronic Claims
Forms Management
Paper-Based Claims
Payor Management
Policy Administration
Healthcare CRM
Audience Targeting
Campaign Management
Marketing Automation
Medical History Records
Patient Communications
Patient Management
Physician Management
Predictive Analytics
Patient Engagement
Appointment Scheduling
Care Planning
Collaboration
Messaging
Mobile Access
Patient Education
Patient Portal
Personal Health Record
Progress Tracking
Self Management
Population Health Management (PHM)
Analytics
Cost-of-Care Analysis
Data Storage
EMR/EHR Integration
Patient Engagement
Patient Identification
Patient Risk Stratification
Patient-Reported Outcomes
Payment Bundling
Predictive Alerts
Test & Treatment Reminders
Utilization Tracking
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis