Millions of people depend on the correct intake of medicines. It gets tricky when you are prescribed a new medicine and are not sure how it will interact with your other medicines. With the massive influx of new drugs, it is becoming increasingly difficult for people (even medical professionals) to judge whether the prescription is safe to use. 

Challenge
How can we plot all unstructured package inserts into a format in which drugs can be linked to interactions?

Solution

No more wrong medication use

We have helped Checkjemedicijn.nl by categorizing thousands of leaflets. With these insights, people can now check whether a particular drug combination is safe to use via a virtual chat interface. The interface is offered as a white-label solution to various online retailers and drugstores.
Data

Data

All medical information from all medical known national (NL) and international (WHO)
Technology

Technology

MongoDB, MS Azure DevOps, Flask, Bubble.io
Scope

Scope

Prototype, Test and Implementation
Planning

Planning

Realized in 18 months

Level 4

AI optimization & implementation

AI is never a standalone solution. It requires a lot of fine-tuning and creating the right conditions to successfully land a Machine Learning model in an organization. Hemisphere knows what it takes to take these models to the next level. 

There are dozens of reasons why a model does not make it to implementation. Quality of (input) data, availability & costs of sufficient computing power and management are all well-known examples.

Hemisphere works with you to see what is needed to get more out of your AI solution. You can contact us from cleaning data and setting up HPC instances to offering customized Machine Learning SLAs.

Level 3

New AI model design

A costly hick-up in your process and do you have the feeling that only an AI solution can answer this? 

Hemisphere closely follows global AI development. This gives us a good idea of what is possible today. We have mastered various AI techniques on a broad level.

As a result, in most cases up to 80% of the final solution can be achieved in a design sprint of 2 weeks.

Level 2

Data engineering

The shift to cloud services offers organizations the opportunity to simplify their data processing. Companies that currently rely on batch processing can now implement continuous processing methods without disrupting their current processes. Rather than expensive rip-and-replace, the implementation can be incremental and evolutionary. 

By following the Extract-Transform-Load (ETL) methodology, data is processed and passed on in a qualitative and safe manner. This reduces the chance of errors in the data and provides the management team with the right data to base their decisions on.

Level 1

Data research

Data contains rich and often real-time information for a wealth of applications. By analyzing the large influx of customer contacts (anonymously), you are able to gain almost real-time insight into customer needs. Based on these insights, it is also possible to hyper personalize the offer. 

Hemisphere helps you make analyzes to understand the different trends and opportunities at the micro level. By responding to this, you exceed customer expectations and gain trust.