The healthcare space is growing by leaps and bounds. According to a report, global healthcare expenditure is expected to reach USD 10 trillion by 2022.
Owing to multiple factors like technological advancements, expensive infrastructure, growing health related awareness and rise in chronic health conditions, the healthcare market is evolving faster than ever.
With time, the use of technology has brought structural changes to the healthcare industry, for the better. Whether it’s managing endless administrative processes in hospitals, providing personalized care and treatment or facilitating better access, technological advancements like mobile healthcare, also known as mhealth, and machine learning in healthcare have streamlined the healthcare sector to a great extent.
Let us dive deeper into how machine learning in healthcare combined with the easier accessibility of mobile devices is transforming the healthcare space.
- A Boom in Medical Subsectors
Importance is being given to sub sectors such as diabetes, telemedicine, genomics, and others. Patients are currently able to monitor their glucose levels using mobile app and wearable technology. There are several other opportunities available in this segment, and it is only a matter of time before you can identify other medical subsectors.
Telemedicine is a growing sector as it offers care through telecommunication. These medical subsectors are offering opportunities to the caregivers and consumers for better and adaptive healthcare solutions, which can improve their overall health.
- Operational Efficiency and Increased Engagement
When there is a seamless flow of the operations at the hospital or other caregiving unit, it improves the experience of the consumers. Apart from offering proper care, the caregivers are also involved in admin, financial and even technical tasks related to making healthcare operations seamless.
With mHealth solutions, they can manage their work efficiently. From offering better payroll solutions to taking care of appointments and reminders, all the operations are well-defined within a well-defined mHealth app.
- Empowers the Patients
When you place a mobile app that can measure and monitor the patient’s heart rate, and other factors, you are essentially empowering the patients and improving their health related attitude. They will be more concerned about their health and will take care of it as much as possible.
In fact, with the advances in healthcare and the power being handed over to wearable technology, you will observe more patients being interested in measuring their own glucose levels and other factors, thus keeping them in control. They self impose dietary restrictions, which enable them to live a smoother and healthier life.
- Better Access and Shorter Wait Lines
Finally, the mobile healthcare market is connecting the healthcare providers with those accessing healthcare solutions. This enables direct access and immediate appointments.
In fact, mHealth solutions have also found a way to offer appointments to the people, thus reducing the wait time for each appointment and enhancing the experience.
Read full article here
Machine Learning is a Form of AI that Enables a System to Learn from Data.
Leverage Big Data & Understand Subtle Changes in Behavior with Oodles AI Machine Learning.
Oodle AI is one of the top AI and machine learnig development company that covers multiple services for variors busiiness verticles like Insurance, Marketing, Healthcare, Banking, etc.Explore our more Artificial intelligence services
Check latest Scoop.it topic by Engineer.ai, building the Right Environment to Support Artificial Intelligence, Machine Learning and Deep Learning.
