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What is Bainbridge Health Med O.S.?

We provide effective solutions for pharmacists and safety leaders that focus on improving safety measures, standardizing processes, and making the most of limited clinical resources. Our goal is to empower our collaborators to utilize their infusion data effectively, raising safety benchmarks, ensuring uniformity, and enhancing the utilization of their clinical resources. By blending technology with a robust clinical services team and leveraging network benchmarking, we deliver significant value. The Med O.S. data science platform transforms how infusion data is analyzed, offering fresh insights and tackling the limitations of traditional reporting practices. A committed team of pharmacists and data analysts formulates actionable strategies that yield real-world benefits. Our partners benefit from expert human assistance, which goes far beyond just providing access credentials. Additionally, our network benchmarking taps into the knowledge of the leading infusion community in the United States, aiding the sharing of trends and best practices while steering quality and operational advancements. This comprehensive methodology guarantees that our partners are adept at managing the intricacies of clinical safety and enhancing efficiency. Ultimately, we strive to create a supportive environment where safety and operational excellence can thrive together.

What is AWS HealthLake?

Integrate Amazon Comprehend Medical to extract valuable insights from unstructured data, allowing for efficient search and retrieval capabilities. Utilize Amazon Athena for predictive analysis in health data, while also employing Amazon SageMaker machine learning models and Amazon QuickSight for thorough analytics. It is essential to maintain compliance with standards such as Fast Healthcare Interoperability Resources (FHIR) to ensure effective interoperability. Implement cloud-based medical imaging solutions to increase scalability and reduce costs. AWS HealthLake offers a HIPAA-compliant platform that allows healthcare and life sciences organizations to achieve a chronological view of health data, facilitating extensive queries and analytics. Advanced analytical tools and machine learning models can be used to evaluate population health trends, predict outcomes, and effectively manage healthcare expenses. By pinpointing deficiencies in care delivery, organizations can initiate targeted interventions grounded in a comprehensive understanding of patient journeys. Moreover, applying sophisticated analytics and machine learning to structured data can enhance appointment scheduling and reduce unnecessary medical interventions, ultimately leading to better patient care. As the healthcare landscape continues to evolve, the adoption of these technologies will be vital for optimizing operations and enhancing overall health outcomes. This proactive approach not only benefits patients but also aids healthcare providers in delivering more efficient services.

Media

Media

Integrations Supported

AWS AI Services
Amazon Athena
Amazon QuickSight
Amazon SageMaker
Amazon Web Services (AWS)

Integrations Supported

AWS AI Services
Amazon Athena
Amazon QuickSight
Amazon SageMaker
Amazon Web Services (AWS)

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

Bainbridge Health

Date Founded

2016

Company Location

United States

Company Website

www.bainbridgehealth.com/solutions

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/healthlake/

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