Since the emergence of Covid-19, digital AI has been increasingly popular among medical professionals and the general public
For many years, the growth of technology has been gaining substantial traction; the epidemic only serves as an inflexion point, a point of no return. Although mHealth (mobile health) apps have grown in popularity, their effectiveness has been limited due to many structural constraints in the global healthcare business. The moment has come; 2022 will be the year in which businesses will build the groundwork for long-term success; those that are not agile will either be purchased or perish. Medical institutions, startups, and other businesses should keep an eye on the following healthcare technology developments.
With the use of IT tools and software, AI in healthcare is extensively utilised to diagnose different diseases such as cancer, Aids, mental disorders, renal difficulties, chronic heart diseases, and so on. MRI, ECG, MEG, CT scan, ultrasonography, x-rays, laser therapy, and other AI techniques are used to identify, monitor, and assess disorders and the body’s well-being. In the healthcare business, AI has also enabled advanced surgery support, medical diagnostics, and improved workflow.
One kind of patient-centered care is designed for both physicians and consumers in delivering evidence-based treatment using the software. It aids not just clinical assessment but also dashboard monitoring and patient-reported outcomes. Digital therapies, which aid in the treatment of existing disorders, might be a major player in the healthcare trends of 2022.
Healthcare inefficiencies will be reduced by at least 30% thanks to automation and artificial intelligence. Robotic process automation should be one of the most important developments in 2022. Integration of robots would be a benchmark, harnessing technology to provide options that can support clinicians and improve the healthcare sector’s accessibility and quality.
Genomics is a new medical discipline that uses patients’ genetic information to provide accurate diagnosis and individualised therapy by picking the appropriate drugs and therapies based on the patient’s issue. Oncology, pharmacology, undiagnosed, and infectious illnesses have all benefited greatly from genomic research. To improve the accuracy and cost-effectiveness of disease genetic diagnosis.
Internet of Medical Things
IoMT refers to a group of medical devices, equipment, and infrastructure-enabled applications that use internet computer networks to link to healthcare IT systems. This enables machines to connect across the internet. Patients with chronic diseases are monitored, prescription records are tracked, the location of the hospital where the patient is hospitalised is tracked, and the patient’s mobile can communicate information to caregivers are all examples of IOMT.
Telemedicine is another well-known health-tech technique. During the Covid 19 outbreak, the usage of telemedicine has skyrocketed. Through phone conversations, email, smartphone applications, and even video conferencing with health care specialists, it is making a constructive contribution to healthcare. The telemedicine sector has reduced healthcare costs, improved efficacy, and improved patient access to healthcare services. Some of the most extensively utilised telemedicine platforms include ‘Ceiba’ and ‘Video health.’
Cloud computing is widely utilised in healthcare for storing large amounts of data and processing capacity for data analytics at a cheaper cost. It aids in the storage of huge documents like medical records, patient medical histories, laboratory data, and diagnostic reports. It provides adequate security, data backup and recovery, data interchange, and storage management features.
The use of mobile communication devices such as phones, laptops, smartwatches, and other wireless technologies for health-related services, information, and data collecting is known as mobile health technology. Illness monitoring, treatment assistance, medical record keeping, and chronic disease management are all possible with mobile health. Educating people about preventative healthcare services is one of the most popular uses of mHealth.
Blockchain technology is being employed in the healthcare business to improve the safety and security of digitised medical records. Electronic record-keeping, secure medical data transfer, patient monitoring, pharmaceutical supply chain, health insurance claims, and assisting healthcare researchers in finding genetics codes are all examples of blockchain technology. It also aids in the management of Fast Health Interoperability Records, as well as the storage, exchange, and retrieval of data obtained remotely.
Big Data and Predictive Analysis
Big data in healthcare has been spurred by the advancement of computer power, enhanced database, and analytics technologies. From medical diagnostic and imaging data to fitness metrics, a vast quantity of data is generated, and big data analytics technologies enable them to be processed into useful information that may benefit patients and HCIs. This ability may aid in making the best judgments, and as a result, it is becoming more prevalent in healthcare.