For years, technological advancements have been an integral discussion among the medical industry. The ability to access a large amount of data coupled with Artificial Intelligence (AI) could give both the patients and medical providers the ability to better target the specific ailments, illnesses, treatments and medications needed.
While many of these ideas are not currently being implemented within the medical community, discussions about technological implications on how healthcare can best be delivered to the masses at lower costs and with better accuracy continue to rise.
For most technical experts within the medical field, it is not solely the technology that is important but how to best use the technology to facilitate medical care.
While the biggest complaint about the accumulation of data through technology seems to be that the time involved in acquiring such data can be quite lengthy, many doctors believe that in the long run more data will create more cost-saving opportunities and provide better diagnosis for patients as their medical records can be accessed and compiled with a single click of a button.
One of the biggest discussions within the medical community these days pertains to Virtual Reality (VR) and how it can be used to more accurately diagnose an illness and treat it.
According to a recent Stanford Study, virtual reality imaging drastically improves the overall diagnosis of radiologists when combined with medical imaging.
It is not just patients and doctors who would be benefited by such technological uses but the overall workings of medical centers like hospitals and clinics as staff requirements can be greatly enhanced with the help of AI.
The ability to gather large amounts of data and interpret them with Artificial Intelligence gives the human resource departments at medical facilities a better idea of the ideal candidate. They can thus measure what metrics, attributes, and characteristics were most prominent among former hospital members who showed exemplary skills and hire those with similar attributes thus increasing the overall performance of the hospital or clinic.
To date, it has been estimated that medical facilities using similar AI methods to fulfill their staffing needs have cut their turnover ratio from 50-13% in as little as three months.
U.S. Medical Data Collaboration
Right now, the one big problem among medical communities is the sharing of data across multiple agencies.
The U.S. Federal Government itself is interested in collecting a large amount of medical data with the help of modern technology and collaborating it amongst other federal agencies dealing with national healthcare to create better policies for the nation. This, however, is very difficult as many federal agencies prefer to keep their findings private at the moment.
Still, many medical experts working at the federal level do believe that these barriers will come down as technology continues to advance and its findings prove beyond a shadow of a doubt that they save lives, cut costs, and bring a more harmonious state of health to the entire country and one day the entire world.