We will see the smart healthcare system in India very soon
“In India, the above smart diagnosis at the home level would happen very soon. The smart solutions are also expected to be cheaper. Once AI starts evolving, we will also move towards value-oriented healthcare, from a pricy healthcare system”, adds Ashissh.
Telemedicine will take doctors to rural areas enmasse
As per Suniel Kumar G, Founder and MD of Bangalore-based Nexiot Technologies that is focussed on IoT-based end-to-end solutions across sectors including healthcare, RPM will boost the reachability of telemedicine especially throughout rural geographies.
Suniel advices IoT solution providers (and medical professionals) to apply both IoT-driven smart concepts and Data Sciences in tandem so that the accessibility to doctors gets enhanced which in turn results in mitigation of the issue of shortage of doctor numbers.
“Patient Monitoring, Diagnostics & Assets Monitoring are very potential areas of IoT for healthcare”, opines Suniel.
Did you know, optimisation of physical hospital assets also plays a big role here
This is a more generalised variant of IoT in healthcare; deployment of smart concepts over already existing healthcare equipment also goes a long way in enabling doctors/surgeons automate processes such as diagnosis, and communication of critical illnesses directly to patients.
Here, tons of generated data is transmitted through the cloud where analytics occur and refined exact data is sent to patients through channels such as smartphone apps. Doctors also get to have a detailed look at this data and thereby decide on the next course of action without having to waste valuable time in taking informed decisions.
An illustration here is the concept of smart beds that can track conditions of patients real-time, thereby helping doctors prepare better for even contingencies.
“This transforms not only patient’s life, but also reduces the burden on doctors by supplying them with essential information as and when required efficiently”, states Jagdish Harsh, CMD Mobiloitte
“In lots of cases, smart beds upload info that can be accessed by doctors even at remote locations. This information can then be used by Doctors to monitor patients’ health. Medication required by patients can also be determined smartly”, adds Jagdish.
“Teleradiology Solutions in conjunctions with Cloud based PACS systems are used to store and view the conventional XRay / MRI Scanner Images through internet. Specialist doctors will review these images wherever they are, create and share the reports with appropriate diagnostic observations. This will help rural diagnostic centers scan the patients and transfer the images for specialists’ referrals and consultations”, states Rajendra Kurady; co-founder and ceo at Bangalore-based RTWO Healthcare Solutions. Rajendra specialises in Healthcare IT.
IoT will also potentially motivate doctors
Apart from helping doctors save time and thereby attend to more number of patients over a given time period, smart concepts such as AI and ML will also help doctors smartly diagnose patients which improves their success level and also motivates them to carry out diagnosis on an increased scale.
Experts believe that AI and ML will improve the overall diagnostics, and change the entire way in which care is afforded to patients.
“You have an MRI or an x-ray and a computer helps the radiologist detect any problems that could be too small for a human to see.” visualises Bastin.
In this process, even doctors (those serving the rural sectors especially) would be educated better. A smart system could automatically look at patients’ medical records and the family history and then use this data to track recent medical researches and then suggest an advanced treatment protocols to doctors that is custom-made according to the patients’ medical records. This way, it becomes a win-win situation for both the patients as well as doctors.
A well-equipped doctor would definitely put in extra effort to see that he/she attends to more patients; thereby mitigating the shortage level.
“By combining vast amounts of patient data with artificial intelligence, we’re beginning to be able to predict illnesses before they’ve even developed. If machines can see a life-threatening illness before it strikes, this has the potential to save countless lives.” signs-off Bastin.