A system to automate medical records has been built by the University of Maryland. Computerized medical records are a fairly new concept that allows doctors, nurses, and other health care practitioners to access patient records, files and information electronically in place of a tangible, fixed form.
A lot of aspects of its use was criticized because the medical industry wasn’t quite open to it yet. Some practitioners had even questioned the practicality of the endeavor, particularly as doctors simply cannot be bothered with having to carry a computer with them at all times. electronic shops mobiles
There is an answer to this problem, however. A stable, easy-to-use, and intelligently designed program. The University of Maryland Human Computer Interaction Lab (HCIL) had made sure that this new electronic medical records system would not create a delay in the health care professional’s performance and time. In short, a system that decreases the search time significantly, enables the presentation of data properly and accurately, and is a lot less susceptible to glitches. To sum it all up, this program is beneficial since it provides the medical practitioners more time with their clients and less fiddling with their paper trail.
Equipped with the expertise of computer scientists and researchers, a sound plan for a great electronic medical records program was built, with this list of goals and benefits:
(1) Accurate and complete information.
(2) Finding and locating trends and anomalies in a patient’s health history.
(3) Quick and easy access in spite of massive volumes of information.
(4) Keep the program simple, yet also flexible so it can be modified to address a variety of areas and uses.
One problem against automation was the probability of receiving incorrect or even losing information. Although similar concerns apply to using physical patient record information and documents they were at least physical, whereas electronic medical patient records are not. However, there are software nowadays that guarantee the safety of data.