Digitization in healthcare industry has transformed the way providers function
The healthcare industry handles an unsurprisingly large amount of data on a daily basis – patient records, test results, analyses, consent forms, research material, etc. Before computers were introduced into the workforce, healthcare workers had to keep track of all data on paper. Thankfully, that is no longer the case. Well, sort of.Having all patient records saved in a secure electronic database is way more efficient than having paper folders and filing cabinets – it’s easier to search for and find information, and it helps keep everything organized.
The healthcare industry can also adopt the use of cloud storage services, which means the data would be accessible online, through any web browser. Another innovative way to improve the industry’s processes is having web portals clients can access to view their profiles, book appointments online, and download helpful guides (e.g., information relating to pregnancy, parenting, dieting, exercising, dealing with certain diseases, etc.).
In recent In recent years, IOT ( Internet Of Things) has been used in healthcare. IoT can automate patient care workflow with the help healthcare mobility solution and other new technologies, and next-gen healthcare facilities. IoT in healthcare enables interoperability, machine-to-machine communication, information exchange, and data movement that makes healthcare service delivery effective. Real-time monitoring via connected devices can save lives in event of a medical emergency like heart failure, diabetes, asthma attacks, etc. Remote patient monitoring is a technology to enable monitoring of patients outside of conventional clinical settings, such as in the home or in a remote area, which may increase access to care and decrease healthcare delivery costs.
The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Although there are many instances in which AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period. Ethical issues in the application of AI to healthcare are also discussed.
