Concept Processing is a widespread method of data entry into
Electronic Medical Records, frequently used by physicians. This artificial
neural network is used as a clinical-decisions support system for medical
diagnosis. This technology is based on artificial technology and Boolean logic,
a data type that our class is highly familiar with. Concept Processing attempts to emulate the
mind of each physician by recalling elements from previous cases that are the
same or similar to the case being seen at that moment. This tool can be
extremely beneficial to both the physician and the patient. For the physician, it
is a way to double-check their assessment to ensure that they are giving a
correct diagnosis. For the patient, this technology will increase the likelihood
that they will receive the proper treatment for their condition.
Without computer science, Concept Processing would be
impossible. The Concept Processor works by bringing forward the closest
previous encounter to the one being seen in that moment, presenting that case
in front of the physician for fine-tuning. There are three possible cases:
1) The closest encounter would be identical to the
current encounter
If this is the case, the Concept Processor will generate the
new encounter instantly in the same way that the physician did it previously.
It will also print or fax the prescriptions, generate instructions to the
patients, admit orders to the hospitals, etc.
2) The current case is similar to the closest
encounter
The physician will modify the differences from the closest
cases using hand-writing recognition, voice recognition, or a keyboard. These
are forms of input to the Concept Processor. The Concept Processor will then
memorize all the changes, which will save even more time in the future.
3) The current case is rare and new
Usually, the symptoms of these cases contain a combination
of SOAP elements that have been saved. If the text of each element is saved for
a given type of case, there will be elements available to use with other cases,
even if the cases are not similar overall.
Using a learning model, the medical records-handling
software classifies the doctor’s vocal or typed input and classifies is into a
net of semantic nodes, based on how closely the words or phrases are related to
concepts that the program has seen previously. Using Artificial Intelligence
within medical research and in medical settings could ultimately save time and
reduce error, changing the face of healthcare today.
This is so cool! I wrote a blog post a while back about IBM Watson being used to diagnose and provide treatment options! I thought it was interesting and extremely useful because the computers can learn about new treatment options sooner than a human doctor to ensure that the best possible treatment plan is being utilized. Does this technology just help diagnose, or does it provide options for treatment as well?
ReplyDeleteGreat post! I always enjoy reading about medical improvements because I feel it is a field that can be greatly improved. Concept processing is a great idea and if the system could protect against false diagnoses i think a lot of lives would be saved. This post was extremely interesting as I wrote a blog about robotic surgery, and with both these ideas combined together, the margin of error in the medical industry would be so much smaller.
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