Artificial Intelligence (AI) is changing health care and medical practice around the world. It is estimated that investments in AI globally, in this sector alone, will approach USD
36 billion by 2025, which would be a growth of 50% compared to 2018. In combination with telemedicine, AI can play an important role in improving and expanding the population's access to the public health system.
One of the main problems globally is the lack of access to medical care. The World Bank and the World Health Organization (WHO) published a report in 2017 in which they affirm that 50% of the world population does not have access to health services, additionally the aging of the population grows and diseases increase Chronicles.
Opportunities for improvement in the health system thanks to Artificial Intelligence
The use of AI, in addition to the automation of tasks, helps with the planning, diagnosis and prognosis of patients, making medical care more efficient, since it not only reduces costs, but also allows remote analysis of results, resulting in a better distribution of health care services.
Telemedicine allows patients to contact healthcare providers virtually and offers an alternative to face-to-face visits. By serving as the gateway to medicine, it offers an alternative for high-cost care settings or for patients who have to make long journeys to reach healthcare facilities.
Using AI capabilities in a telemedicine environment helps reduce the burden on clinical staff, which has a high impact on greater dedication to patient care.
Approach to successful development
One of the critical aspects for the success in the digitization of healthcare using AI and telemedicine is having an adequate infrastructure, for which the initial investments that must be established, preferably, in combination with specialist partners that guarantee compatibility across all systems.A common data infrastructure could help facilitate training and deployment.
In addition, for telemedicine and AI to be successful in clinical practice, regulations must allow the optimal use of a model that considers coverage of this type of care, as well as medical licensing and liability.
There are two key factors related to financing that are important to ensure a sustainable approach. The first is related to the medical provider, for whom there must be a financial incentive to implement AI and telemedicine. The second has to do with patients, for whom telemedicine must be financially attractive, and have similar costs to usual care.
Training for the use of AI in telemedicine
Education should be the foundation of any approach to implementing telemedicine and AI, for both healthcare workers and patients. It is recommended that all medical personnel receive training on how to use AI tools and software, as well as being trained in communicating with patients through an electronic medium.
It is also essential that local staff in rural areas are trained to use and maintain the equipment. On the other hand, patient training is necessary to overcome generational, cultural and educational barriers, especially for the elderly, and to make more efficient use of these tools.
Finally, data protection is essential for healthcare in general and becomes more important with the increasing risks associated with digital care. A standardized approach to assessing platform risks improves use of and confidence in these systems.
For that, regulations must be oriented to minimize risks, and governments must promote data transparency to avoid discriminatory biases when using AI algorithms.
AI and telemedicine will play a critical role in healthcare as the Covid-19 pandemic has accelerated the deployment of telemedicine, a trend that is expected to grow continuously in the years to come.
AI helps in the early detection of COVID-19 patients
Facing the COVID-19 outbreak originating in Wuhan, China; Blue dot software using its AI system was able to identify an unknown type of pneumonia, rating it dangerous level three on a scale of five. Early detection of a disease can help save lives.
It should not be forgotten that the role of medical personnel is decisive for decision-making, and finally it was human intelligence that realized the magnitude of the contagion and looked for solutions.
Another AI use case occurred at Boston Children's Hospital, which issued the first public alert message outside of China, thanks to the automated HealthMap system.
It is necessary to continue improving these alarm systems emitted by devices with AI, these alarms generate an alert in the event of any suspicion, but the human factor is in charge of intervening and identifying the true and false ones.
Even so, AI has established itself as a relevant tool for the medical sector. China has made a large number of collaborative donations to technology companies, as a contribution to stop the spread of the virus that originated in Wuhan.
AI teams collaborate to reconstruct the virus from the sequence of its genome. It is first synthesized into small pieces that are then assembled, the objective is to translate the coronavirus, which is now known, is RNA type to the DNA code, because it is the only way to genetically manipulate it.
In these times, technology constitutes a powerful tool for the work of medical personnel in the scenario of the pandemic. Thanks to this, there is an effort to improve health systems, find a vaccine against diseases and thus guarantee the human right to health.
During the COVID-19 pandemic, the acceleration in the adoption of digital technologies has led to the use of artificial intelligence in different areas to improve the response to the health emergency, including the clinical care of the most serious cases of the disease, as well as in the manufacture of vaccines.
Conclusion
AI can be used to diagnose a patient. A solution developed for this purpose can help determine if a patient has contracted the virus or a flu faster than a radiologist. The technology will discover features than many observers will overlook. The application of AI has ben very helpful in the fight against COVID-19. Our developers at
HData Systems can assist you with a
top AI solution.
Harnil Oza is a CEO of HData Systems - Data Science Company & Hyperlink InfoSystem a top mobile app development company in Canada, USA, UK, and India having a team of best app developers who deliver best mobile solutions mainly on Android and iOS platform and also listed as one of the top app development companies by leading research platform.
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