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What is Speech2Structure?

During patient care, it has been observed that physicians often spend approximately two-thirds of their time on documentation rather than on conducting examinations or engaging in meaningful conversations with patients. To address this issue and allow doctors to focus more on patient interactions, Averbis is creating Speech2Structure, a cutting-edge software solution that captures documentation in real-time using voice input while organizing it instantly. This innovative system is skilled at recognizing and addressing various linguistic subtleties, such as negations and diverse diagnostic categories, as it processes the incoming information. Furthermore, it efficiently converts pathological laboratory results and microbiological findings into applicable diagnoses, thereby simplifying the documentation workflow. In addition, the medications mentioned during patient consultations can provide valuable insights into possible diagnoses, which enhances the overall clinical understanding. Ultimately, by reducing the documentation burden, this tool aims to improve the quality of patient care delivered by physicians.

What is HealthData Archiver?

Implementing HIPAA-compliant storage solutions for protected health information (PHI) and data from outdated systems is essential for safeguarding sensitive data. By merging various information silos, you can effectively meet data retention standards while also lowering expenses and enhancing your cybersecurity posture. A dedicated healthcare data archiving system is tailored to provide secure and straightforward access to historical patient, employee, and business records. This includes managing workflows for the release of information, addenda, and the purging or destruction of records. Additionally, it facilitates agency management of transaction files and workflows related to collections. Employees can access vital records, including W2s, payroll information, attendance logs, OSHA exposure records, and OSHA time and attendance data. The system allows for the creation of unlimited notes and comments, all in compliance with HIPAA guidelines. To aid in making well-informed care decisions, users can view or share essential clinical data such as lab results, flowsheets, growth charts, and other pertinent information. By utilizing structured data searches, users can obtain clear and concise results, further enhancing the decision-making process. This comprehensive approach not only streamlines operations but also significantly improves the overall management of health information.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Averbis

Date Founded

2007

Company Location

Germany

Company Website

averbis.com/health-discovery/speech2structure/

Company Facts

Organization Name

Harmony Healthcare IT

Date Founded

2005

Company Location

United States

Company Website

www.harmonyhit.com

Categories and Features

Conversational AI

Sentiment Analysis

Data Extraction

Not specified

Decision Support

Not specified

Deep Learning

Not specified

Medical Transcription

Not specified

Speech Analytics

Automatic Transcription
Sentiment Analysis

Speech Recognition

Audio Capture
Automatic Transcription
Speech-to-Text Analysis

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Image Extraction

Electronic Medical Records (EMR)

Compliance Tracking
HIPAA Compliant

Hospital Management

Claims Management
Medical Billing
Patient Records Management

Time & Attendance

Not specified

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