Three Phase Knowledge Acquisition
Data-driven and Guideline-based knowledge
acquisition by Incorporate missing decision paths of PMs into CPGs.
Expert Driven Knowledge Acquisition
User friendly rule authoring environment enhances the physician’s capability to acquire and maintain knowledge base
Learn MoreEvidence Support
Finding evidences from sheer amount of literature and appropriate association with CDSS knowledge rules is a non-trivial activity.
Learn MoreKnowledge Acquisition: Three Phase Model
Guideline enabled data driven knowledge acquisition approach is intended to overcome limitations of existing acquisition approaches (data driven and guideline based) and support rigorous validation and formal verification to combine the traditional acquisition approaches. Guideline enable data driven knowledge acquisition produces refined clinical knowledge model (R-CKM) which is derived from the predication model (created from patient data) and validate and evolved from the clinical knowledge model (CKM) – a guideline based knowledge.
Phase-I: Clinical Knowledge Modeling
- A clinical knowledge model (CKM) is the baseline model for validation of ultimate clinical rules in a knowledge base. It represents the clinical knowledge for a specific clinical domain, while referencing standard knowledge resources, such as clinical practice guidelines (CPGs).
Phase-II: Data-driven Knowledge Acquisition and Validation
- Knowledge acquisition and validation are a core aspect of the three phase model. They are achieved through application of machine learning algorithms on existing medical records in HIS and applying a rigorous validation process supported by the CKM.
Phase-III: Shareable Knowledge Creation
- Maintaining the motivation to provide end-to-end implementation of the PM, R-CKM is represented in sharable format using HL7 Arden Syntax.
A Few Main Features of Smart CDSS
Smart CDSS is tool that helps in making better medical decision thereby reducing clinical errors and improves quality of life
Knowledge Self-maintainable
Smart CDSS clinical knowledge will grow in self-maintainable fashion.
Intelligent Knowledge Authoring Tool
Smart CDSS comprise of authoring tool called I-KAT(Intelligent Knowledge Authoring Tool) to facilitate knowledge creation.
Knowledge extraction feature
I-KAT comes with knowledge extraction feature where physician can derive domain specific knowledge from SNOMED CT.
Integration with diverse HIMS
Smart CDSS comes with various adapters to facilitate integration with diverse healthcare information system.
HL7 Arden Syntax and HL7 vMR standards
I-KAT support HL7 Arden Syntax and HL7 vMR standards where physicians can share their knowledge with other systems.
Evidence Support
Smart CDSS incorporate evidence support to clinical knowledge using state of the art tool called KnowledgeButton (KButton).