endorsedCompleted

POC Emergency Demand Prediction Algorithm for CHAI Analytics

Services Covered:

AI and Machine Learning • Big Data Analytics and Business Intelligence

Industry

Healthcare

Duration

4 months

Budget

Less than 10K

Start Date

1 March 2020

Team Size

1-5 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

74/100

Good

Project Capability Score (PCS) estimates how capable Apzumi 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

CHAI Analytics

United Kingdom

Project Summary

CHAI Analytics engaged Apzumi to develop a proof-of-concept prediction algorithm to forecast emergency demand in healthcare. Apzumi provided analytics and data modeling, building a prototype algorithm in Python with a Java/Angular frontend. The prototype produced evidence that led to several partnership opportunities and the client praised Apzumi's collaborative approach and structured project management.

Key Challenges

Determine whether a viable prediction algorithm for emergency demand could be developed with available data.
Explore possible modeling approaches in a go/no-go proof-of-concept.
Iteratively test algorithm logic and accuracy to inform next-stage development.

Project Deliverables

Proof-of-concept prediction algorithm (prototype)
Frontend prototype built with Java and Angular
Data modeling and analytics deliverables
Test results and accuracy assessments across scenarios

Project Solution

Apzumi provided analytics and data modeling to design a proof-of-concept prediction algorithm. They developed a prototype backend prediction algorithm in Python and a frontend prototype using Java and Angular, applying iterative data science techniques to test accuracy across scenarios. The output was a prototype to validate logic and drive further platform development.

Project Outcome

Produced a prototype prediction algorithm that generated evidence for progressing the product.
Enabled acquisition of about 3–4 strong partnership candidates in the UK.
Improved the client's ability to convince partners to share data and continue development.

Platforms

Tech Stack

Java
Angular
Python

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Thanks to Apzumi, the client was able to garner strong partnership support to move the product forward. The internal stakeholders were particularly impressed with the team's collaborative approach to the project, and their willingness to grow with the organization in the long term.”
Ram Rajaraman
Founder & CEO
Date: 05/28/2021