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Description

Nuance Performance Analytics enhances clinical, financial, and patient outcomes by offering real-time data analytics and decision support systems tailored for quality management, CDI leadership, and patient safety teams to effectively monitor, evaluate, and benchmark their performances. This comprehensive web-based solution integrates the most up-to-date regulatory, payment, and reporting guidelines, presenting a variety of customizable options that facilitate risk analysis and pinpoint areas for potential improvement. Unlike other systems that update data weekly or monthly, this platform refreshes data daily across all criteria, serving as a unified source for care team members to gain insights into various populations and their performances. It also allows for the identification of emerging trends through visual representations of performance opportunities, and it connects inpatient and outpatient outcomes to identify major complications and comorbidities that qualify as hierarchical condition categories. By providing easily customizable reports that cater to the diverse requirements of stakeholders from the boardroom to the bedside, Nuance Performance Analytics ensures that all levels of the organization can access the information they need to drive quality improvements. This adaptability makes it a vital tool in the ongoing effort to enhance healthcare delivery.

Description

Solventum Ambulatory Potentially Preventable Complications (AM-PPCs) Classification System is a clinically designed classification methodology that helps healthcare providers, payers, and researchers evaluate the quality and safety of outpatient procedures. The system identifies potentially preventable complications that occur after elective ambulatory procedures by analyzing sequenced billing data and coded clinical information. AM-PPCs links procedures with related complications that may occur within 30 days after treatment, even when patients receive follow-up care in different healthcare settings. The classification framework covers more than 3,350 procedures grouped into 116 clinically defined procedure categories and identifies complications from over 1,900 diagnoses organized into 70 complication groups. Healthcare organizations can use these insights to track performance by provider, facility, service line, and procedure type. The system also includes benchmarking capabilities based on Medicare, Medicaid, and commercial populations across multiple service lines. By providing structured outcome data and complication tracking, AM-PPCs enables healthcare systems to identify improvement opportunities, enhance patient safety, and better manage outpatient care quality.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

NovaPACS EI

Integrations

NovaPACS EI

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

Nuance

Founded

1992

Country

United States

Website

www.nuance.com/healthcare/provider-solutions/quality-management-solutions/performance-analytics.html

Vendor Details

Company Name

Solventum

Founded

2023

Country

United States

Website

www.solventum.com/en-us/home/health-information-technology/solutions/am-ppc/

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

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