Diamond Health: Predictive Analysis for Disease Prevention and Precautionary Steps
Diamond Health is a HealthTech company that aims to provide better care for patients using technologies. They offer a platform that connects patients with doctors, nurses, and other healthcare professionals, as well as provides access to medical records, prescriptions, appointments, and reminders.
Project description
Data is the lifeblood of every domain in the modern world, especially in HealthTech. Diamond Health has a visionary project that leverages a data-driven approach for disease prevention and precaution. The project harnesses the power of big data and deep learning technologies to create and improve solutions that can save lives and promote well-being.
Objective: Data excellence for accurate and reliable decision making
Our challenge in this project was to build a solution that could process data with accuracy and comprehensiveness in every component of the pipeline. We understood that precision and effectiveness were crucial in this project, because they could influence the final decision of doctors profoundly, as well as patients’ health outcomes.
NeuSplend identified the following challenges that had to be overcome before proceeding:
The quality of the data. Every step in the project had to be processed and verified repeatedly to ensure that they functioned properly.
The size of the data was quite large, so we had to design a solution that could scale up or down dynamically depending on the demand for processing and analyzing data faster and smarter.
Choosing the best model for predicting coin prices was also a mathematical challenge that required careful consideration. The optimal model had to match the customer’s needs and expectations.
Vision: Technologies for transforming patient care
After consulting with our client and reviewing their data storage location, we decided to use GCP cloud platform that seamlessly integrates with Diamond-Health’s on-premises site to create the solution. GCP offers some advanced services that enable us to build a secure and reliable connection pipeline between the two sites, ensuring data integrity and security.
With the massive of raw data from Diamond Time, NeuSplend can visualize and extract insights using cutting-edge Machine Learning and Deep Learning technologies.
We take every project seriously from the initial steps such as discovery and communication, to the final steps and continuous growth. The patient data is constantly growing, so every service in the architecture has the scalability configuration to adapt to it. On the other hand, the technologies and models have to be optimal to provide the customer with the essential insights they need. We designed the following data architecture to leverage the full potential of the customer’s existing data architecture and GCP cloud platform.
The outcome: Patients enjoy better health with our customer’s services
We believe that with the advances of health tech, doctors can make more accurate and effective decisions with the assistance of generative AI. The better the health of the patients, the more successful our project is.
NeuSplend does not stop at completing the project, but we continue to enhance and develop our solutions for the customer. Health is one of the most important factors in our life.
Technologies we apply
Data Engineering & Cloud Tools
Databases & Distribution Systems
BigData tools
Data Science and Machine Learning tools
Cloud Router
Cloud Dataflow
Data Catalog
Google Data Studio
Cloud Pub/Sub
Google Interconnect
Google Peering Edge
Cloud Storage
Google Bigquery
Cloud Dataflow
Google BigQuery
Cloud Dataproc
Cloud Natural Language API
Google Deep Learning VM
Google AI Platform
Our work
NeuSplend is a powerhouse of diverse and innovative solutions for any domain and customer. We don’t just work for you because of the project, we work with you to ensure your success and happiness.
