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What is Story Health?

Story Health utilizes cutting-edge virtual care and AI technology to harmonize clinical data with the everyday experiences of patients, empowering specialists to refine treatment protocols for individuals facing serious health issues. Much of a patient's health experience takes place outside traditional healthcare environments, resulting in disjointed solutions and missed opportunities for optimal care, especially among those with high-acuity conditions. To address this concern, Story Health offers a groundbreaking method for managing complex health scenarios that is adaptable, quickly implementable, and advantageous for both healthcare practitioners and patients alike. This platform provides healthcare professionals with essential tools to maintain continuous communication with patients, manage intricate data flows, and swiftly modify home treatment plans that can significantly influence health results. By delivering customized recommendations that cater to the specific situations of each patient while aligning with a clinician's approach, Story Health improves the monitoring of patient health between medical visits. Consequently, it becomes easier to identify patients who need immediate care, urgent intervention, or modifications in their treatment, thereby enhancing overall patient management and outcomes. Furthermore, by ensuring that every patient's unique journey through healthcare is acknowledged, Story Health truly revolutionizes the delivery of care and safeguards against the risk of overlooking any individual in need. Ultimately, this innovative approach fosters a more inclusive and effective healthcare experience for all.

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

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend

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

Story Health

Date Founded

2020

Company Location

United States

Company Website

www.storyhealth.com

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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