Waystar Features

Administrative (5)

Systems Interoperability - Payer Care Management Workflow Applications: Manages the entire continuum of care to increase organizational ability and transparency
Applications Integration - Payer Care Management Workflow Applications: Brings together disparate solutions and systems for a seamless experience
Workflow Optimization - Payer Care Management Workflow Applications: Consolidates care applications and utilizes collected data to enable efficient workflows
Patient Care Plan Management - Payer Care Management Workflow Applications: Automates or facilitates the creation of QAed patient care plans
Data Ingestion - Payer Care Management Workflow Applications: Aggregates, analyzes, and manages clinical data

Billing Automation - Revenue Cycle Management (RCM): Based on 31 Waystar reviews. Automates manual financial management tasks to reduce error
Clearinghouse Integration - Revenue Cycle Management (RCM): Based on 34 Waystar reviews. Streamlines any communication and data share between provider and clearinghouse
Claims Management - Revenue Cycle Management (RCM): As reported in 34 Waystar reviews. Streamlines the processing, scrubbing, and submission of healthcare insurance claims

Claims Data Automation - Healthcare Claims Management: As reported in 45 Waystar reviews. Automatically populates data in claim submission fields
Electronic Submissions - Healthcare Claims Management: Supports electronically uploading and sending of healthcare insurance claims This feature was mentioned in 52 Waystar reviews.
Clearinghouse Integration - Healthcare Claims Management: Provides integration or facilitates relationships with clearinghouse(s) This feature was mentioned in 49 Waystar reviews.
Claims Process Workflow - Healthcare Claims Management: Provides or facilitates a structured process to support the entire claims lifecycle 50 reviewers of Waystar have provided feedback on this feature.

Claims Resubmission - Healthcare Claims Management: Based on 52 Waystar reviews. Promptly re-submits denied claims once providers update missing or lacking information
Patient Data Security - Healthcare Claims Management: Based on 53 Waystar reviews. Ensures that patient data remains secure and confidential and that only pertinent information is shared
Claims Scrubbing - Healthcare Claims Management: Digitizes, tracks, and vets submitted health insurance claims to check for errors 52 reviewers of Waystar have provided feedback on this feature.

Data Warehouse: Maintain a health care-specific data warehouse that organizes all clinical, operational, financial, and patient data
Data Analysis: Process collected data to pull out relevant insights
Data Capture: Accurately capture and store health care data
Data Integration: Consolidates data from various sources including Electronic Health Records (EHR), billing systems, and patient management systems into a unified platform.
Integration with Wearable Devices: Connects with wearable health devices to capture real-time patient data like heart rate, activity levels, and sleep patterns.
Interoperability: Ensures compatibility with various healthcare systems and standards like HL7, FHIR, and DICOM, facilitating seamless data exchange.
Security and Privacy Controls: Implements data security mechanisms and compliance with regulations like HIPAA to safeguard patient data.
Data Querying: Provides a user-friendly interface to construct custom queries for in-depth data analysis without needing advanced technical skills.

Data Visualization: Provides graphical representations of data through charts, graphs, and dashboards to facilitate easier interpretation and decision-making.
Cost Analysis: Evaluates treatment costs, resource utilization, and financial performance to optimize healthcare expenditures.
Real-Time Analysis: Enables the analysis and monitoring of healthcare data as it is generated, allowing timely interventions.
Predictive Analytics: Employs statistical algorithms and machine learning techniques to predict future outcomes based on historical data.
Patient Risk Scoring: Calculates risk scores for patients based on their health data, helping providers identify those who may need urgent care or preventive measures.
Natural Language Processing (NLP): Utilizes NLP to extract meaningful information from unstructured text data, such as clinical notes and patient records.