Health Technology: Huge inventiveness frequently shines through during times of distress, causing significant transformations. In the period of coronavirus disease 2019 (COVID-19), this has been the situation. By minimising the risks associated with direct patient contact, standing in crowded waiting areas or laboratories, and hospitalizations, healthcare technology has emerged to assist healthcare providers in better managing their patients.
In addition to providing specialised solutions, artificial intelligence (AI) technology is used to diagnose diseases. In a mass detection scenario, such as COVID-19, it is utilised to power devices that process thousands of computed tomography scans. In addition to giving additional information and enhancing the accuracy of diagnosis and monitoring, this frees up radiologists and doctors to care for patients.
In the pharmaceutical sector, machine learning is being used to find new drug candidates without the time-consuming and expensive traditional way of combing through chemical libraries and to replace actual tests with simulations that vary a number of factors. The entire process is substantially quicker and much less expensive.
Robotic systems that conduct routine, unskilled operations that are currently carried out by skilled healthcare professionals are being created using AI and machine learning. With less time constraint, they will be able to treat more patients, improving the outcome.
The shadowy side
Even though AI is being utilised to improve healthcare, it can be abused by hacking medical computer systems to steal patient and provider identities, redirect finances, and misuse information. This may happen through personal devices connected to hospital software, wireless networks at medical institutions, or the Internet of Things (IoT). As a result, it may be more expensive to safeguard such systems against AI-driven malware and customised assaults than it would be to use such systems.
To avoid, identify, and correct data breaches as soon as possible, careful planning, efficient training, continual supervision of healthcare and technical employees as they use data systems, and the installation of data security mechanisms are all necessary.
Mobile health information and sensing technology, often known as mHealth, has becoming more popular in order to meet these needs. The ability to deliver healthcare at reduced prices with better results seems to be made possible by these instruments. They may enable a small number of service providers to keep track of a larger population, both individually and collectively.
Applications in mHealth can help with the self-management of chronic illnesses, improve provider training, and decrease doctor visits by promoting healthy habits for primary or secondary disease prevention. They also provide unparalleled levels of personalization for interventions.
Today, mHealth can be applied through the use of mobile devices, wearables, and other gadgets that let users go about their daily lives while sending useful data on a variety of factors back to a server. This information can be utilised both now and in the future to offer details on a variety of trends and prognostic indicators to support research-driven initiatives to promote and enhance patient health.
The creation of Health Technology apps is currently made easier by the availability of numerous platforms, supported by world-class information technology (IT) companies like Apple.