Miso Information Technology (CEO Ahn Dong-wook), which focuses on artificial intelligence (AI) medical big data, announced on the twenty sixth that it has supplied ‘Smart TA’, an AI-based automatic formatting solution for hospitals and medical institutions.

Through this, it’s explained that many medical professionals have been capable of improve their job satisfaction and focus more on patient care by providing high-accuracy automatic coding for manual work that many medical professionals have been fighting for a very long time.

The ‘Smart TA’ solution developed by Miso Information Technology classifies various unstructured text data and documents sleeping inside and out of doors hospitals, medical institutions, and firms, and standardizes data through natural language processing to extract data assets and insights from hospitals, medical institutions, and firms. It’s a knowledge analytics solution.

Smart TA was automated to cut back the burden and stress attributable to the input of medical skilled coding personnel, time, and manual work when coding. It is anticipated to enhance the medical environment and increase the work satisfaction of medical personnel by improving the accuracy of the reading.

Miso Information Technology emphasized that through smart TA, medical institutions are increasing the worth of medical big data by activating the exchange of medical information between medical institutions, establishing a self-health management system, and providing high-quality medical services to patients.

The fundamental feature of smart TA is to use a hybrid method that mixes the benefits of machine learning-based supervised learning and domain-specific language engines used for multi-attribute classification and data evaluation by category for user-specified attributes to supply the next level of information mining service. It was identified that it was implemented.

As well as, for solution differentiation, a ‘fully verifiable model’ that facilitates changes when language rules and speaker intentions in documents are misclassified, and specific domains resembling healthcare, semiconductors, chemicals, automobiles, displays, distribution, energy, and environment. On this case, the consistency and reliability of learning results are provided by utilizing expert knowledge.

Ahn Dong-wook, CEO of Miso Information Technology, said, “We’ll recreate the worth of medical big data through the standardization of unstructured data, while continuing to collaborate with advanced general hospitals and medical institutions to develop it right into a patient-centered healthcare service.”

Miso Information Technology participated within the spring academic conference hosted by the Korean Medical Information Society (President Kim Dae-jin) to spread the case of hospitals and medical institutions using smart TA, digital transformation and innovation cases within the healthcare field based on big data , share experiences.

Meanwhile, along with health care, Smart TA builds an evaluation system for unstructured text and customer CRM data of major call centers in Korea, builds an AI-based business evaluation system through social data evaluation of local governments, evaluates and identifies customers’ complaints about processed food manufacturing products, and products of competitors. It conducts projects resembling evaluation and VOC evaluation.

Reporter Juyoung Lee juyoung09@aitimes.com