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WebioMed clinical decision support system

Large Companies
NLP - Text summarization
For:
Media Intelligence Analysts
Scope:
Using Abstractive Text Summarization to reduce analysis costs for media monitoring.
Goal:
Improve Operation Efficiency
AI virtual assistant for customer support and service
For:
Customer service department
Scope:
Customer support service, product and service consulting. Limitations - support for dialogs exclusively within MTS products. Target audience - b2b, b2c clients of MTS Russia.
Goal:
Other
AI contract management
For:
Procurement department, legal department
Scope:
Building an AI contract management solution for automating business processes related to documents: data classification, automatic data extraction and contract monitoring.
Goal:
Other
Large Companies
Small Companies
Human Resources - Employee Performance Assessment
For:
Line managers.
Scope:
Creating an insight report for managers carrying out employee performance reports using Text Mining.
Goal:
Improved Employee Efficiency
Virtual bank assistant
Scope:
Use of advanced chatbots and dialogue systems to automatize part of call centre activities.
Goal:
Improved Employee Efficiency, Improved Customer Experience
General Public
Entertainment and Media - Search Optimization
For:
End consumers of news stories.
Scope:
Optimizing search using Machine Learning and Natural Language Processing to improve relevancy and presentation of results.
Goal:
Improved Customer Experience
Large Companies
NLP - Machine translation
For:
Translation Managers and Translators.
Scope:
Using Machine Translation to scale content production and create a more streamlined and efficient translation process.
Goal:
Improve Operation Efficiency, Automate a Business Process
Loan in 7 minutes
For:
Customers
Scope:
A completely automated solution that analyses customer behaviour and makes the best loan offers for the customer.
Goal:
Improved Customer Experience, Improved Employee Efficiency
Large Companies
Small Companies
Legal - Automated Legal Review
For:
Legal Associates and Paralegals.
Scope:
Supporting human analysis of legal documents using automated Document Classification and Information Extraction.
Goal:
Improve Operation Efficiency, Improved Operation
Procurement - Cost Analysis
For:
VP Global Supply Chain Management, Category Managers
Scope:
Realizing operational efficiencies and working capital improvements through automated spend classification.
Goal:
Reduce costs, Improved Employee Efficiency
Tax rules updates and classification
For:
Investment firm
Scope:
Build an AI solution that identifies updates on tax laws and classifies them.
Goal:
Other
Procurement - Supplier Selection and Evaluation
For:
Procurement Managers
Scope:
Creating efficiencies in supplier selection using Intelligent Search technologies.
Goal:
Improved Employee Efficiency
Large Companies
Retail - Customer Sentiment Analysis
For:
Retail managers, executives, marketeers and branding specialists.
Scope:
Understanding consumer sentiment towards national grocery chains in South Africa using Natural Language Processing.
Goal:
Improved Customer Experience
WebioMed clinical decision support system
For:
End-users (physician, nurse, laboratory technologist, pharmacist, patient) Sales and marketing team CDSS product development and maintenance team (system administrator, system developer, system architect, project manager, and system maintenance)
Scope:
Screening for cardiovascular disease risk prediction with machine and deep learning methods
Goal:
Other
Large Companies
Human resources - Federate the team
For:
HR professionals.
Scope:
Using Artificial Intelligence (AI) to identify ideal candidates, decrease hiring time and improve employee retention.
Goal:
Improved Customer Experience
Large Companies
Small Companies
Legal - Contract Analysis
For:
Legal Associates and Paralegals.
Scope:
Using natural language processing to aid contract analysis by creating efficiencies for reviewers.
Goal:
Improved Employee Efficiency, Reduce costs, Improve Operation Efficiency

WebioMed clinical decision support system

For:
End-users (physician, nurse, laboratory technologist, pharmacist, patient) Sales and marketing team CDSS product development and maintenance team (system administrator, system developer, system architect, project manager, and system maintenance)
Goal:
Other
Problem addressed
Advances in precision medicine would require an increasingly individualized prognostic evaluation of patients in order to provide the patient with
appropriate therapy.
Scope of use case
Screening for cardiovascular disease risk prediction with machine and deep
learning methods
Description
The CDSS WebioMed is a ready-made, trained solution to
identify high-risk patients and prevent morbidity and
mortality. The characteristics of this system include:
automatic risk stratification of patients;
a more efficient organization of preventive work aimed
at a personal group of patients with a high risk of
complications and death;
the ability to route patients depending on the
assessment obtained;
reduced morbidity and mortality;
reliable digital assistance, trained on the results of
evidence-based medicine and modern clinical
guidelines;
automatic identification of risk factors;
automatic determination of the likelihood of developing
a disease;
compliance with clinical practice guidelines;
reduced time of the patient risk assessment;
powerful artificial intelligence to evaluate medical data
and identify risk factors without development costs;
the addition of medical decision support functions;
ready service for evaluating EHR and to identify the risk
factors;
reducing the costs of development of the medical
information system.
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Text
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NLP
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