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What is Bookend Healthcare AI Agent?

The Bookend Healthcare AI Agent platform is created to streamline administrative tasks across various healthcare sectors, encompassing everything from patient treatment to payment handling. By simplifying complex prior authorization processes, this platform reduces the burden on healthcare providers by eliminating monotonous manual procedures, which in turn minimizes the chances of expensive claim rejections. Central to our solution is automation, which not only enhances operational productivity but also quickens revenue cycles, ultimately contributing to better patient care. Our intelligent agents thoroughly evaluate patient information, understand insurance rules, and gather vital data for accurate and timely submissions, leading to higher approval rates and faster payments. By revolutionizing the healthcare industry, our AI-enabled platform automates the development and execution of customized care strategies. This allows healthcare professionals to proactively identify evidence-based treatments, improving patient outcomes while reducing overall costs. Moreover, our platform provides clinicians with essential tools for making informed decisions backed by data, which further improves care quality and boosts patient satisfaction levels. We are committed to continual innovation and aspire to redefine the benchmarks for healthcare service delivery, ensuring that providers have the support they need to excel in patient care.

What is Altis Labs Nota?

Altis Labs has introduced Nota, a groundbreaking platform aimed at improving the efficiency of therapeutic research and development in the clinical field. By leveraging artificial intelligence, Nota assesses imaging data to forecast patient outcomes, enabling sponsors to better concentrate on their most viable therapies. This cutting-edge tool equips researchers with the ability to utilize imaging data from clinical trials, access predictive biomarkers, and accelerate research initiatives on a broader scale. With Altis' cloud-based software that employs deep learning techniques, biopharma companies can achieve comprehensive outcome predictions at the levels of individual images, patients, and entire cohorts, thereby enhancing the design of clinical trials and boosting confidence in predicting clinical endpoints. The insights provided by Nota hold the potential to significantly shorten development timelines, reduce drug development costs, and increase the likelihood of success in clinical trials across diverse therapeutic areas. Furthermore, Nota signifies a major leap forward in the fusion of technology with clinical research, ultimately paving the way for more streamlined and effective drug development methodologies. This innovation not only promises to transform the landscape of clinical trials but also aims to improve patient outcomes in the long run.

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

Bookend

Date Founded

2023

Company Location

United States

Company Website

www.bookend.ai/

Company Facts

Organization Name

Altis Labs

Date Founded

2019

Company Location

Canada

Company Website

www.altislabs.com/news/altis-labs-announces-launch-of-nota-a-clinical-information-platform-to-accelerate-therapeutic-r-d

Categories and Features

Categories and Features

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