As the name suggests, with the help of this cloud technology a patient just needs to share the health concerns with the technology system and if need be, health insurance details as well. On receiving these details, a physician will contact you in real-time and share prescriptions. You can order medicines online, pay online as well,and receive the medicines at your doorstep as per your availability. All this process entails a virtual system where there is no need to fix an appointment, see the doctor and avail prescriptions or for that matter medicines as well. This entire process can be soon a reality with the adoption of cloud technology. While the technology has been largely accepted and has been used by many IT companies and other MNCs, healthcare is yet to adopt this technology. However, the possibility of such adoption is very much real and a lot of discussions have already taken place in making the technology a reality soon.
If we talk about global healthcare market, where the segment is estimated to grow at a CAGR of 20%, exceeding USD 15.5 billion by 2024. Cloud technology has immense potential to redefine the healthcare landscape by reinvigorating systems, processes, and informatics. It is capable to draw insights from massive data sets thereby optimizing cost and increasing efficiency and personalization; simultaneously, obliging high level of security, privacy, and compliance.
Artificial Intelligence (AI) on a cloud to facilitate better diagnostics
Taking the second opinion is very important in providing better treatment. Now, with cloud technology, a caregiver can connect with a specialist within a second with the help of a button, consult and share the patient’s record in a minute. The specialists can share his suggestions from afar, and rather than taking days, she/he can provide an accurate and reliable diagnosis. So the whole modus operandi of diagnostic processes can be transformed with AI enabled patient data insights.
Imagine a hospital stores crores of digital images of different test and scan of patients on a daily basis. Study says, presently, only medical imaging makes for about 90% of healthcare data. With the growing adoption of IoMT (Internet of Medical Things), edge computing and diagnostic technologies, you can be assured that the data pool is only going to grow at a whopping rate. To make use of such a huge pool of data, traditional analytical methods is not going to help any further. And there is a crucial need for transformation in the way data is stored and analyzed to help improve decision making. Tremendous benefits can be achieved in decision-making while making a diagnosis and also benefit the planning of caregiving processes, treatment variability, and patient outcomes.
Telemedicine bringing healthcare to rural and remote areas
The biggest challenge of healthcare in India today is a high concentration of doctors, nurses and other medical staffs in urban areas leaving the rural areas in total shambles. Here, telemedicine can help meet this demand-supply gap. Cloud technology can be leveraged to connect patients with caregivers over smartphones and laptops, irrespective of their locations. Rural patients can get consultation for primary and secondary care from specialist doctors via telemedicine. In the same way, the patient can avail treatment from trained personnel from a mobile healthcare unit or a telemedicine unit. Currently, there is significant traction when in the adoption of telemedicine in India.
Cloud-based adherence platforms helping patients stay on track
Cloud medicine also helps a caregiver to monitor a patient’s behavior closely. Whether the patient is taking medications, following dietary instructions or going for the follow-up doctor consultation timely; the caregiver can remotely monitor all these and intervene when necessary. The technology can help patients in reminding about certain steps to follow or about a pending doctor consultation.
Big data and predictive technologies enabling preventive action ahead of time
Another most important benefit of adopting cloud medicine is that it can help prevent the patient to suffer from a certain disease from data collected via IoMT. This is a huge benefit when it comes to managing any epidemic like situations helping healthcare stakeholders to make more informed choices about how to proceed, with preventive measures and other life-saving activities.