Reducing Health Inequities through Digital Patient Support Solutions

Access to comprehensive patient care is required for adequate patient participation and treatment. However, considerable barriers to such unlimited access exist, such as a need for more awareness of pulmonary disorders. The lack of awareness can be caused by numerous factors, such as cultural taboos, inaccessibility, or poor information, thus leading to delayed diagnosis and serious consequences.

Lack of knowledge about the disease, its symptoms, or its consequences contributes significantly to people at risk not seeking help from their primary care physicians or eliminating risk factors. Underdiagnosis is common even when a person with symptoms visits a general practitioner. Spirometries are not common, and diagnosis is mainly based on symptoms. The use of inhalational devices is associated with the disease's "terminal stage," and such devices are stigmatized in rural areas. Furthermore, the vast majority are treated by local 'hakims,' alternative medicine practitioners, and faith healers who frequently dispense harmful and toxic agents, including steroids.

Doctors recommend and contribute to the diffusion of the diagnosis of pulmonary disorders (lung diseases caused by chronic diseases such as tuberculosis, asthma, or allergies) by providing a unified platform for patients with various respiratory disorders.

As a result, Divum has created solutions that will provide you with suggestions from experts and make lung health issues easier to manage. We developed an Android app and a CRM platform that allow patients to maintain their medical records, manage their health, schedules and medications, and request appointments. This includes recommendations on various symptoms to watch out for and tools such as exercise plans that can be adapted to fit any lifestyle.

The client needed a platform that could help them solve the below problems:

Problem Statements:

  • Lack of credible information, guidance, and support for managing Lung Health
  • Doctors must include data on their patients' historical vitals, medicine adherence, inhaler usage and lifestyle habits before their consultation visit.
  • Lack of a credible companion for patients/caretakers/general users to guide them in managing their lung health.

What did we do at Divum?

  • A mobile product and CMS platform were designed and developed for a leading pharmaceutical company to help patients manage their health conditions.
  • The backend microservices was built with Python and deployed on AWS.
  • Used BigQuery to dump data for data analytics and for visualization.

This app aims to facilitate access to information and provide diagnoses.

This app is a respiratory management platform for patients with various lung diseases. Using this app, patients can monitor their health, get diagnoses, and follow-up treatments. It also enables patients to track their general health and receive personalized advice from doctors with experience treating pulmonary disorders.

At Divum, we have built such a Lung Health Management Platform to enable patients to manage their lung health condition. The platform is a companion app that helps them handle different lung conditions, track their health conditions and have all the required data as a record.

How was it solved?

  • Worked closely with the stakeholders to ensure the application supports the entire journey for different cohorts of users, patients, caretakers, curious users, etc.
  • Analytics-driven extensive gamification was implemented in the application to engage the users and ensure they are adhering to the best practices in managing their condition better.
  • BigQuery-powered data dumps were implemented to visualize the data and insights.
  • Cutting-edge art direction for the app that engages users and makes them feel empowered about their condition.
  • We have built a mobile application focusing on usability, customizability, and data integration for the user to manage their condition better.

Our engineers at Divum built an Android app and CMS platform enabling users to manage their lung health. Apart from tracking their health condition and having all the required data as a record, gamification and analytics were used to engage the user and ensure they adhere to the best practices in managing their condition better.

Systems Overview:

Platform backend consists of several modules and each module is managed as a microservice. The microservice manages the entire code that is required for the module. The routing to the microservices happens at the application layer.

Platform Architecture:

A platform architecture aligns the business and technology architectures to business domain platforms. In this architecture,

  • Each microservices will interact with each other via REST APIs
  • The platform will leverage messaging queue service for asynchronous communication wherever required.

High-level Infra Architecture:

The below architecture diagram explains the infrastructure landscape along with the services used.

For each microservice, a separate ECS Fargate service will be created. Currently, our application servers and the database will be hosted in the ap-south1 (Mumbai) region. In the future based on the requirements, we should be able to host it in multiple regions (countries) separately.

Data Analytics for Health Management Platform

Solution is an analytics-driven health management platform that provides extensive insights into asthma, allergies, and respiratory disease. The data collected by Breathefree can help patients improve their condition by making better treatment decisions.

Problem Statements

  • Need to understand the user behavior on mobile-based Lung Health management product that was launched
  • Need to discover user drop-offs in the app
  • Need to understand if users are not adhering to recording their vitals, exercises and medicine intake due to usability issue
  • Need to understand which functionality of the app is most and least used
  • Need to discover which content sections of the app are being consumed and engaged by the user most

We at Divum understood the client's requirements, and our research team devised a strategy to identify the areas of opportunity through analytics. The team developed a data extraction framework that worked as designed and helped provide insightful analysis to the client.

Through data analysis, we understood the users’ journey throughout the app and identified which section of the app was used by most users. We also found out which sections of the app were not being used by the users, thus helping us understand where we are losing most of our potential audience.

What did we do?

Developed a multi-tenant, modular, microservice architecture for optimum performance and scaling across countries. Functionalities were developed as microservices to support multiple therapies.

Events instrumentation, Data Warehouse set-up, Data Visualization dashboard design and development. At Divum, we run our data warehouse, designed by a leading Big Data consulting firm. The platform is customized for our use and made available in the cloud. We have built a mobile application focusing on usability, customizability and data integration for the user to manage their condition better. The Backend was built with Python and deployed on AWS. Used BigQuery to dump data for data analytics and visualization.

Our platform was used to identify the users’ behavior and helped us understand their behavior patterns throughout the app.

How was it solved?

Apart from identifying and instrumenting the events to be tracked on the mobile product with Firebase analytics, we set up a Data Warehouse on BigQuery, with data from the Firebase Analytics, specific data from the product's Backend and other data sources like Google Play Console, Google Ads, etc.. to provide data visualization for generating business intelligence insights. We designed dashboards based on this data to provide real-time insights to the client. Our engineers used data visualization to identify where the users were dropping off. The team then identified the areas of drop-offs on the app and carried out further quality assurance testing before launch.

Data Analytics - Health Management Platform is a unique product developed by Divum using big data and advanced analytics with guidelines from WHO.


By implementing both these products, Divum can provide a lung health platform that helps users maintain a better quality of life and manage their respiratory problems. Divum worked closely with the client team to ensure the application supported the entire journey for different cohorts of users, patients, caretakers, curious users, etc.

For patients, it is an effective means of staying informed about their lung health, tracking changes in conditions, and engaging with peers and healthcare professionals while connecting them with the best resources around them.

Enhancing Patient care with ML/AI. Divum built a predictive model that notifies its user before an asthma attack by sending alerts on pollen increase, wildfires, and other triggering factors. The alert is sent by triangulating geospatial, weather and consumer data. The solution helped one of the users connect and better understand controlling asthma by providing timely medical advice.

The Lung Health Management Platform helps potential users or patients get a feel of managing their lung health, whether recording vital signs and symptoms during an attack or assessing exposure levels to environmental triggers.