Read our case studies on how Mindbowser’s team delivers a robust infrastructure that seamlessly connects and serves all the needs of patients, providers, and clinics.
This Patient-Centric Telehealth Platform empowers patients and families in their healthcare journeys, supports providers in delivering excellent care, and enables healthcare systems to become efficient. We worked with a US-based healthcare service provider who believes that healthcare services should be easily available, affordable, and accessible for all regardless of socio-economic situations. They approached Mindbowser with the idea of building a web-based telemedicine platform.
Austin-based digital health company approached us to update their site design and its dentistry plans were designed long back and so needed to improve. Web design trends are changing all the time. Keeping web design updated is very important to help analyze target user behavior with the ultimate goal of taking your product’s user experience to the next level. so, our team updated the website with a new methodology.
A US-based telemedicine solution provider wanted to develop a free, simple, and secure telemedicine solution that can break all the geographical barriers and allow healthcare providers to offer the best care solutions to their patients outside the clinical setting. The goal was to improve the existing solution and update its tech stack so as to optimize the performance and build scalability for the future.
With an accelerated development offering, Mindbowser delivered the required features within 21 days of engagement. This was a shot in the arm for the team’s release plans.
A prominent US-based surgeon team wanted to build the ability to perform endoscopic procedures in any setting, at any moment, with an integrated suite of software features connected within the cloud. Mindbowser worked with the team to build the complete platform end to end from idea till launch.
$3M+ raised in funding
The world’s largest Genome company wanted to develop a web interface that would store data in a structured format in the database, which can be further used for data analytics and provide suggestions. We developed the Web-interface using React and Python to deliver them an ultimate solution.
This healthcare platform is built upon the principle of harnessing existing technology to create better, more meaningful activity-based metrics to track outcomes. By utilizing a proprietary machine-learning algorithm, we provided objective, accurate, and real-time assessment of post-operative progress.
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