Forbes just released a list of Top 25 Machine Learning Startups of 2018, recognizing companies for their ability to capitalize on the promise of Machine Learning and their disruptive innovations across different industries. Innovaccer was the only digital health startup to be recognized for leveraging machine learning to integrate complex healthcare data sources and providing valuable insights to healthcare organizations. And we’re not going to lie- it’s a pretty great feeling! Not only because our efforts were recognized out of literally thousands of organizations, but also because it reaffirms what we’re doing and makes us push harder for our goal.
A few decades back, no one would have ever thought that a bunch of 0s and 1s could understand the intricate human mind- let alone impersonate it. The idea that you could predict an event in the near future by crunching some numbers would have been scoffed at. And then machine learning and artificial intelligence emerged and took the world by storm.
According to an IDC report, the spending on AI and ML is expected to grow from $12 billion in 2017 to $57.6 billion by 2021, registering a CAGR of 48%. From evaluating job applicants on their emerging strengths to remove biases in recruiting, to creating a self-service AI platform that learns from analytics, machine learning is a fascinating avenue. And we knew we had to bring machine learning to healthcare to fulfil the dream of an intelligent healthcare.
No AI or machine learning- or any technology, for that matter- can replace the ‘human’ essence of healthcare, but the processes can be greatly improved. The way healthcare data is shared, understood, and leveraged to enhance quality in healthcare is overwhelming and full of inefficiencies and we decided to bring the torch to healthcare. We decided to drive efficiency in healthcare by leveraging the power of data.
Transforming Healthcare – Innovaccer’s journey so far
Innovaccer, the disruptive big data analytics firm grew its proprietary platform through research for tops institutions like Harvard, Wharton, Stanford, and 65 of the world’s 100 top universities. Soon its robust data platform was assisting researchers in over 200 research projects with varying needs of data sourcing, integration, transformation, advanced analytics, and visualizations on large volumes of data. Innovaccer met high accuracy and reliability standards of the US research ecosystem and has become ones-top-solution for ‘All Data Needs’ in top healthcare organizations where Innovaccer serves.
Over the past two years, we have been fortunate to work with some of the most innovative healthcare systems across the country. Collaborating with renowned healthcare experts, we created a machine learning-assisted data platform to democratize access to data across providers, payers, lab systems, pharmacies, technology companies, and most importantly the patients themselves. With Innovaccer’s healthcare data platform, organizations have registered tremendous growth:
What makes Innovaccer different?
Innovaccer’s healthcare data platform is a powerful, modular structure made to address all of a thriving healthcare organization’s needs. With a source- and format-agnostic approach, Innovaccer’s healthcare data platform is purpose-built to fit itself to an organization and its existing workflows, and not the other way round.
The robust platform supports data integration, care management, population health management, network analytics, and physician engagement. Its flexible, agile, and scalable nature has helped in reducing the expenditures by $500M for the US healthcare ecosystem.
The platform’s abilities to predict future liabilities, quantify social vulnerabilities, assign custom-built risk scores to the patient population, and more, are honed every day to make innovation a practice. Additionally, there is a lot of data in healthcare and our platform deploys Machine Learning to perform data integration seamlessly. Through this technology, we have helped care organizations bring together data from 200+ different type of data systems and only the desired insights.
Today, we have a team of most distinguished healthcare leaders who have literally redefined the healthcare and are still on their mission to make it even more efficient and affordable. Our team includes:
Why Forbes recognized us in top 25 Machine Learning Startups of 2018
While data centralization and machine learning-driven analytics is something Innovaccer brings to the table, what really sets us apart is the platform’s scalability and flexibility. The platform’s source- and format-agnostic nature works with any data set of the healthcare domain, integrates, and standardizes it in a single source of truth. From the data-first approach we deploy to the customizable workflows and dashboards- the platform is designed to simplify a user’s operations and enhance their abilities.
Healthcare technology was never meant to overwhelm the physicians, or the nurses, or any stakeholder. And that’s the idea on which Innovaccer’s healthcare data platform works. By leveraging Machine Learning and Artificial Intelligence, Innovaccer has been able to automate cumbersome processes of care management and other healthcare processes and now, care teams can perform tasks in a matter of minutes which would usually take them months.
We’re aiming to build a world where the most brilliant healthcare technologies are within reach and impactful. We’re aiming to create a world where quality, high-value care is a bit closer to reality. It’s a great feeling to know that our product makes a difference to our users.
To know more on how you can deliver better insights at the point-of-care with a unified healthcare data platform, get a demo.
For more updates, subscribe.