EndorsedendorsedOngoing

AI-Powered Web Platform for Patient Data (Healthcare)

Services Covered:

AI and Machine LearningCustom Software DevelopmentWebsite Development
Project hero — replace with case study imagery
Industry
Industry

Healthcare

Duration
Duration

33 months

Budget
Budget

200K - 999K

Client Size
Start Date

1 November 2023

Team Size
Team Size

6-10 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
80/100
Strong

Project Capability Score (PCS) estimates how capable Computools is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS


Client

NextCare Health Conference

mapBrisbane, Australia

Project Summary

Computools developed a web platform for a healthcare organization to store patient data, analyze it, and provide AI-driven diagnostic recommendations. The platform includes multiple access levels, sophisticated data-processing algorithms, and integrations of multiple medical data sources. The project was executed using agile methodology and has enabled medical staff to focus more on patient care rather than the platform. The solution was built using .NET, Angular, C#, and Azure.

Key Challenges

  • Engineer a complete solution for storing patient data and providing AI diagnostics
  • Combine different data sources into one system that accurately and reliably calculates

Project Deliverables

  • Web platform with multiple access levels
  • AI-powered diagnostic and patient-recommendation engine
  • Data integration from multiple medical data sources
  • Algorithms for processing and analyzing medical data
  • Solution deployed using .NET, Angular, C#, and Azure

Project Solution

Computools built a web platform with multiple access levels and integrated algorithms to process and analyze patient data. They implemented an AI-powered feature that aggregated medical data from multiple sources to produce patient recommendations. The solution was developed and delivered using .NET, Angular, C#, and Azure.

Project Outcome

  • The platform reduced the amount of time medical staff spent on the website, allowing them to focus on patient care
  • Improvements supported the client's competitiveness in the healthcare market
  • The project was conducted under agile methodology
  • The vendor's exceptional experience in AI software development was noted

Platforms

  • WebWeb

Tech Stack

  • .NET.NET
  • AngularAngular
  • C#C#
  • AzureAzure

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Computools' work has allowed the client's medical staff to focus on patient care rather than spending time on the platform. The team has conducted the project using agile methodology and communicated via email. Their exceptional experience in developing AI software solutions is impressive.

Aaron Thompson

Program & Project Manager

Note: This endorsement is based on publicly available client feedback from external review sources.

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