MEDICAL IOT

We have a very strong focus on solving Real World problems using the best in breed tools/ technologies. These are few of the key Industries we are focusing on. We are actively working on a few interesting ideas in each of these areas.

These are a few interesting trends which we feel are going to disrupt the Healthcare industry:

1) Healthcare

Healthcare Industry is among the fastest adopters of ‘Internet of Things’. As per some estimates, spending on Healthcare IOT solutions will reach $1 trillion by 2025. Focus is shifting from the traditional model of ‘Patients receive Healthcare’ to a completely holistic model where Patients are actively involved in management of their own healthcare. Healthcare has become ultra agile and patients are getting continuous feedback on their health progress. This is especially helpful for patients with chronic conditions, and those requiring constant supervision. Using the vast amount of data being collected, interesting trends/ insights are emerging which help Doctors make more informed decisions.

2) Predictive Analytics/ Machine Learning

Healthcare Industry is among the fastest adopters of ‘Internet of Things’. As per some estimates, spending on Healthcare IOT solutions will reach $1 trillion by 2025. Focus is shifting from the traditional model of ‘Patients receive Healthcare’ to a completely holistic model where Patients are actively involved in management of their own healthcare. Healthcare has become ultra agile and patients are getting continuous feedback on their health progress. This is especially helpful for patients with chronic conditions, and those requiring constant supervision. Using the vast amount of data being collected, interesting trends/ insights are emerging which help Doctors make more informed decisions.

3) Artificial Intelligence

Medical decision-making is a very complex process, which involves looking at a lot of data, understanding the complete context and using prior experience/ external case studies to make any sort of decision. Given all this complexity and time pressure, it becomes impossible to take the right decision. Artificial Intelligence is trying to solve few of these problems by using complex algorithms to make sense of the structured/ un-structured data, apply NLP to understand the data and derive patterns/ intelligence which can help Doctor’s take informed decisions.

4) Telemedicine

World is becoming more flat and people are getting increasingly busy. There is a growing need for remote diagnosis and treatment of patients. Especially after Health IOT devices becoming mainstream, remote diagnosis has become more accurate. Telemedicine has seen a lot of interest in recent years because of the advances in technologies, which makes it much easier and convenient, compared to regular Doctor visits.

5) Crowdsourced Intelligence

Lots of money gets pushed in to medical research. But big medical groups have been pretty conservative in terms of sharing research and data. Also Clinical Trials have not been very efficient since the user participation is typically very low. But now there is a growing trend towards open-access to Health data and crowdsourcing scientific information, which can help accelerate research and development. Recent frameworks like HealthKit, ResearchKit, CareKit have further allowed researchers/ Doctors to get more data and insights.

6) Centralized Health Information

Health data has always been kept in silos sitting around in un-connected Medical EHR systems. All data was captured at the Doctor’s premise and sharing of data with other Doctors was virtually non-existent. But with IOT Devices/ mobile devices becoming the source of most of the Health/ Wellness data; Patients got more control over who to share their data with and where to store. So there is a shift from storing data into centralized secure cloud based systems, where we can collate/disseminate data leading to a more efficient Healthcare system.