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What is Sift Healthcare?

Sift simplifies the intricate landscape of healthcare payment systems by integrating actionable insights within revenue cycle management, thereby allowing healthcare entities to improve payment outcomes and reduce collection expenses. It equips providers with essential information regarding denial management, helping to protect their receivables while accelerating cash flow. By assembling insurance claims and patient financial data into a secure, HIPAA-compliant cloud solution, Sift ensures a trustworthy information source about healthcare payments. Additionally, it bridges the gaps between electronic health records, clearinghouses, workflow management systems, and patient engagement tools, creating a robust and proprietary dataset that grants a holistic view of payment processes. Through the application of diverse data science techniques, Sift offers detailed and integrated recommendations for denial management, payer assessment, patient collection optimization, and patient acquisition strategies, ultimately contributing to superior financial outcomes for healthcare professionals. This forward-thinking approach not only enhances operational efficiency but also cultivates a more effective healthcare payment framework, paving the way for sustained improvements in financial health. By prioritizing seamless data integration, Sift helps providers focus on patient care while ensuring their financial stability.

What is Open mHealth?

Data schemas establish the framework and details of various information types, such as glucose levels in the blood, which directly impacts how software applications handle that data. Frequently, systems need to integrate information from diverse devices or platforms, each offering its own distinct presentation of data. When all data pertinent to a particular measurement, such as blood glucose, conforms to a standardized schema, it significantly enhances the ease of analysis and interpretation, irrespective of its initial source. A unified schema serves as a reliable reference point for documentation, enabling the utilization of data across various contexts. In healthcare, the significance of shared data schemas is amplified due to the complexity and critical nature of health-related information. For example, distinguishing between fasting and non-fasting glucose levels is vital for precise clinical assessments and informed decision-making. This common understanding not only allows healthcare providers to communicate effectively but also fosters collaboration among different specialties to ensure patients receive the best care possible. Ultimately, a cohesive approach to data schemas in healthcare can lead to improved outcomes and more efficient healthcare systems.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Sift Healthcare

Date Founded

2017

Company Location

United States

Company Website

www.sifthealthcare.com

Company Facts

Organization Name

Open mHealth

Company Location

United States

Company Website

www.openmhealth.org

Categories and Features

Categories and Features

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