Medical document Digitization

24 September 2021 at 11:48 AM

Medical documents are recorded in various formats which are integrally linked to tracking patient progress through the Electronic Health Record (EHR) and Electronic Medical Record (EMR). Over a decade ago, medical document digitization became part of the healthcare industry for streamlining the health information of patients. The need for data has increased greatly in the healthcare sector. Medical document digitization services have not only eased out the management of patient’s health information but have improved several key aspects like -

  • Patient-doctor care
  • Sectoral practices
  • Quality of patient care
  • Operational efficiency in terms of revenue

While EMR has been limited to the domain and expertise of medical practitioners, Electronic Health Records are part of the standard practice. Many crucial forms of medical documents & prescriptions labeling, patient record labeling, and digitized versions of patients’ health information are kept under watch. The arrival of Artificial Intelligence or AI-based methodologies has further amplified the approach to medical diagnosis.

In the healthcare sector, medical diagnosis forms a major part of the patient’s visit. It includes critical health aspects like diagnosis criteria, pattern recognition, and overdiagnosis pertaining to patient treatment offered by the medical practitioner. Some of the main forms are:

  • Laboratory diagnosis
  • Clinical diagnosis
  • Principal diagnosis
  • Radiology diagnosis
  • Differential diagnosis
  • Diagnosis of exclusion

Medical diagnosis has been done on the basis of diagnosis codes to identify diseases, symptoms, disorders, allergies, or adverse effects. An internationally followed medical practice, diagnosis codes have been integral to the diagnosis classification system. With the help of this classification system, Artificial Intelligence is adding value to medical diagnosis by making predictive discoveries on the basis of patient health records. Driven by training datasets of medical imaging in Radiology, Pathology, Ophthalmology, and more, many aspects in the medical field have seen a paradigm shift in the past years. Cutting-edge surgical procedures and both invasive and non-invasive processes are being conducted using AI today, revolutionizing the way the medical field once worked.

About Cogito Tech LLC 

Cogito is a hybrid data labeling platform following model-assisted labeling (MAL) approach to cater industry’s leading businesses. The MAL model leverages a human workforce to label a relevant portion of the training dataset which enables training of the AI application. Playing an important part as human-in-the-loop, our solutions encompass business verticals ranging from Retail, Manufacturing, Building, and Construction, to Medical, Food processing, E-commerce, and more.