BaseBit | Automated Learning of Written Medical Records

Case Background

The use of information and network technologies in the healthcare field produces electronic medical records (EMR), which is necessary for the modernization of medical records in hospitals. The initial adoption of EMR in clinical practice has vastly improved the efficiency and quality of healthcare provided by hospitals.

Empowered by algorithm technologies and data structuralization, BaseBit has constructed a robust and comprehensive knowledge base system, and has built a series of intelligent models with excellent abilities of expression. In various applications centered around electronic medical records, our models effectively improve the services such as automatic medical record writing, overall quality control, cost monitoring system for single diseases, early warning for infectious diseases, prompt for critical illnesses, clinical decision-making assistance for rare diseases, enabling of hierarchical diagnosis and treatment, and many others.

Our Solution：AI Solution for Self-learning EMR

Core Technology

Artificial Intelligence Technologies such as Deep Learning / Chinese Medical Natural Language Processing

What It Achieves

Fast, High Quality and Efficient Writing of Personalized Medical Records to Improve the Quality of Diagnosis and Treatment Service

Through Autonomous Learning of Medical Records,
Multiple Aspects of Such Records Has Been Improved

Through Autonomous Learning of Medical Records, Multiple Aspects of Such Records Has Been Improved

Reduce the Rate of Missed Diagnosis of Disease

Automatic Extraction of Symptoms

Timely Warning of Critical and Severe Cases

Early Detection and Diagnosis of Rare Diseases

Online Genetic Counseling Service
Information Synchronization helps Diagnosis and Treatment of Diseases

Intelligent Diagnosis

Recommendation

Personalized Inspection

Individualized Medication Information

Gene Therapy
Improve the Efficiency of Treatment

Automatic Extraction of Symptoms

Prompt Warning of Critical and Severe Cases

Early Detection and Diagnosis of Rare Diseases

Online Genetic Counseling Service
Fast Landing

Minimal Changes of Plug-in Deployment

Retain the Original System

Loose Coupling with Backbone System

Flexible and Adjustable Delivery Form

Process

Deployment and Recognition

Typical Case 1

Solution of Self-learning Medical Record in a Top-Tier Hospital in First-Tier City in China.

This Hospital has highly praised the use of Pathfinder which improves quality of medical records, reduces the misdiagnosis rate and greatly improves work efficiency.

Smart Service Innovation Award 2019 National Medical Al Innovation Award
Typical Case 2

A City of Five Million People in China: Artificial Intelligence Enabled Hierarchical Diagnosis and Treatment

A city's health commission and Basebit cooperated to build an intelligent triage platform. Pathfinder is used in the whole process of diagnosis and treatment of pediatricians in primary community hospitals through a grassroots health platform. It assists doctors in primary community hospitals to comprehensively observe the symptoms and signs of patients, and complete high-quality writing of medical records.

Another Industry Practice

Automated Learning of Written Medical Records

Automated Learning of Written Medical Records

Case Background

Typical Case 1

Solution of Self-learning Medical Record in a Top-Tier Hospital in First-Tier City in China.

Typical Case 2

A City of Five Million People in China: Artificial Intelligence Enabled Hierarchical Diagnosis and Treatment

Automated Learning of
Written Medical Records