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What is athenahealth Population Health?

A more robust strategy for managing risk is available. Our population health service allows for effective care coordination and patient engagement, ensuring that the management of diverse population groups is smooth across various electronic health records (EHRs). The latest innovations in healthcare move beyond conventional practices, with population health management tools enabling extensive medical facilities to maintain relationships and communicate with patients, thus managing populations—regardless of their size—through differing EHR systems. It is crucial to stay connected to vital data to manage your patient demographics effectively. With access to over 140 pre-designed reports or the ability to create custom reports using our data visualization tools, you can uncover trends in cost and utilization within your population, leading to actionable insights to address these issues. Care managers can utilize flexible, evidence-informed resources to more effectively tailor care plans for each individual patient. Furthermore, automated outreach services enhance your ability to reach a broader patient base and address a greater number of care gaps with less effort, significantly improving overall patient engagement levels. This comprehensive approach not only streamlines care but also fosters a more connected healthcare environment.

What is NextGen Population Health?

Tackle the intricacies of value-based care irrespective of your current electronic health record (EHR) system. Achieve a well-rounded insight into your patient demographics by integrating data from multiple sources, all presented in an easily digestible visual format. By utilizing data-driven insights, you can improve chronic disease management and ensure seamless care transitions while also focusing on illness prevention, cost reduction, and the enhancement of care management strategies. Foster effective care coordination with proactive tools, such as a pre-visit dashboard, risk assessment features, and automated tracking of admission, discharge, and transfer processes. Activate care management strategies to expand the influence of healthcare providers within the community. Promote vital patient engagement and ensure that meaningful follow-ups occur between appointments. Employ the Johns Hopkins ACG system for effective risk stratification, enabling you to identify patients who are most vulnerable to costly healthcare needs. This targeted approach allows for the efficient allocation of resources to areas where they are critically required. Strive to enhance performance metrics that reflect quality care standards. Successfully participate in value-based payment models while maximizing reimbursement opportunities as you navigate the ever-changing healthcare landscape. By adopting these comprehensive strategies, healthcare organizations can significantly boost patient outcomes, creating a more sustainable and effective care environment that benefits both patients and providers alike. Ultimately, these initiatives not only improve care quality but also contribute to a healthier population overall.

Media

Media

Integrations Supported

CaredFor
ClearGage
Dendi LIS
Emitrr
FUSION
FlexScanMD
IAL (InterActive Lab)
Keragon
Lariat Collections Platform
OhMD
Providertech
TeleRay
TimeDoc Health
XpertCoding

Integrations Supported

CaredFor
ClearGage
Dendi LIS
Emitrr
FUSION
FlexScanMD
IAL (InterActive Lab)
Keragon
Lariat Collections Platform
OhMD
Providertech
TeleRay
TimeDoc Health
XpertCoding

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

athenahealth

Date Founded

1997

Company Location

United States

Company Website

www.athenahealth.com/solutions/population-health

Company Facts

Organization Name

NextGen Healthcare

Date Founded

1974

Company Location

United States

Company Website

www.nextgen.com/how-we-help/population-health

Categories and 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

Categories and 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

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