|This AI solution in ET Medical Brain Medical service support system was developed that could simultaneously detect mistakes while physicians wrote EMR (Electronic Medical Record).|
Using NLP (Natural Language Processing) ability, it can process a large amount of unstructured text and judge the accuracy according to recognized medical reference.
It achieved 80% coverage of all the EMR quality control requirements issued by Chinese government, and human labour of EMR QC (Quality Control) was reduced 60%, which translated into cost savings, and enhanced physician education.
Medical records are the records of the occurrence, development and prognosis of patients' diseases, as well as the medical activities such as examination, diagnosis and treatment.
A high-quality medical record has great value at medical and legal level.
When medical records are converted from handwritten to electronic input, delayed, uncompleted writing and copying are endangering the quality of medical records.
Once the medical record data does not meet the requirements, it will greatly affect the health of patients, the development of medicine and the judgment of responsibility in medical accidents.
Nowadays, hospital has a Medical Records Department to control medical records quality manually. However, as the number of medical records increases, the inspection requirements become more complex, and the medical professional knowledge requirements are improved, so the medical records quality inspection becomes harder.
The intelligent electronic medical record quality control system is based on NLP. When a doctor writes medical records, it can analyze unstructured medical record text, and control the quality based on government requirements, ensure the integrity, consistency, timeliness and compliance of medical records.
ET (Evolutionary Technology) Medical Brain Medical service support system has learning ability to learn more medical knowledge including clinical pathway, drug compatibility taboo etc. it can learn the habits and rules of doctor’s manual review to inspects records profoundly.
The current system has covered 189 medical records quality inspection requirements, saved 60% review time for medical record department, which greatly saved the cost of the hospital, reduced the inspection time and repeated work, and will help doctors put more energy into the education and training.