CASE / HEALTH

GenAI:
Nuvie

CASE: Nuvie.ai and AWS

BY A3DATA

Doctors spend up to 50% of their time on paperwork, which significantly reduces the time available for patient care. Nuvie operates in the healthcare technology industry, offering innovative digital solutions to optimize clinical processes.

Executive Summary

Business and Industry:

Nuvie operates in the healthcare technology industry, offering innovative digital solutions to optimize clinical processes and enhance the efficiency of care teams. The company’s primary product is a voice-activated, omnichannel medical copilot designed to reduce administrative burdens on doctors, allowing them to focus more on patient care.

Customer Challenge

Business Challenge or IT Need:

Doctors spend up to 50% of their time on paperwork, which significantly reduces the time available for patient care. This inefficiency impacts both the quality of care provided and the overall productivity of medical professionals. The challenge was to develop a solution that minimizes the administrative load on doctors.

Risks and Impact if the Challenge Were Not Addressed:

If the challenge were not addressed, doctors would continue to be overwhelmed by paperwork, leading to burnout, decreased patient satisfaction, and a potential reduction in the quality of care provided. Additionally, the healthcare system would incur high costs due to inefficient processes.

Solution

Solution Overview:

Nuvie implemented a solution using Amazon Web Services (AWS) to create a seamless and efficient digital assistant for doctors. This assistant helps with various administrative tasks such as patient registration, clinical documentation, and medical record management.

Primary AWS Services Used:

Amazon EC2: For scalable computing capacity to run the digital assistant. Amazon RDS: To manage relational databases that store patient records and other critical data securely. Amazon S3: For reliable and scalable storage of patient data and clinical documents. AWS Lambda: To run code in response to triggers, enabling real-time processing of voice commands and other inputs. Amazon SageMaker: For building, training, and deploying machine learning models to enhance patient care and engagement.

Support Services Provided:

A3Data offered comprehensive support services during both the pre-implementation and post-implementation phases. This included consulting on the best AWS practices, customizing the solution to meet specific customer needs, and providing ongoing technical support to ensure smooth operation.

Results and Benefits

Outcome of the Solution:

The solution significantly reduced the time doctors spent on paperwork, allowing them to dedicate more time to patient care. This led to improved patient satisfaction, better health outcomes, and increased overall efficiency in medical practices.

Specific Metrics:

→ Time Savings;

→  Cost Reduction;

→ Improved Productivity.

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