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What is MedicWorks?

MedicWorks establishes a new standard in electronic patient care reporting, designed with precision to function effectively in fast-paced environments while capturing all critical patient data necessary for compliance with NEMSIS 3.4. The platform also produces the associated NFIRS report, streamlining the reporting process by eliminating the need to access two different systems, which boosts productivity and minimizes data entry duplication. It integrates seamlessly with Lifepak15, Zoll, and Phillips monitors to facilitate effortless EKG imports. Moreover, MedicWorks includes quality assurance and quality improvement features, promoting accountability throughout the reporting workflow. Users are afforded internal messaging capabilities, a dedicated hospital portal, and export options for billing purposes, all while ensuring adherence to HIPAA regulations. The system supports the inclusion of various forms and disclaimers and offers offline functionality for situations where internet access might be unavailable. An intuitive signature capture feature enhances the user experience, and comprehensive analytics and mapping tools provide critical insights into all recorded incidents, aiding in decision-making. EPR, located in Florida, focuses on providing customized software solutions tailored specifically for Fire Departments and EMS agencies, ensuring a thorough records management system that meets their distinct requirements and promotes operational efficiency. This dedication to user needs sets MedicWorks apart as a leader in the industry, fostering innovation and reliability in patient care reporting.

What is Amazon Comprehend Medical?

Amazon Comprehend Medical is an NLP service designed to adhere to HIPAA standards, employing machine learning to extract health information from medical documents without necessitating any prior expertise in machine learning from its users. A vast amount of healthcare data is found in unstructured formats, such as physicians' notes, clinical trial reports, and patient histories. Relying on traditional, manual methods for data extraction is not only time-consuming but also prone to errors, as rule-based automation often fails to capture essential contextual details, resulting in incomplete data retrieval. This lack of reliability can significantly undermine the effectiveness of large-scale analytics, which are critical for advancements in the healthcare and life sciences industries, ultimately impeding potential enhancements in patient care and operational effectiveness. By utilizing this sophisticated service, healthcare organizations can gain invaluable insights and improve their decision-making capabilities, ultimately leading to better outcomes for patients. This transformative approach represents a significant leap forward in how health data can be leveraged for greater efficiency and efficacy in medical practices.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend
ZOLL emsCharts

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend
ZOLL emsCharts

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

EPR Systems

Company Location

United States

Company Website

www.eprsys.com/medicworks

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/comprehend/medical/

Categories and Features

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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