Semantic Web for Effective Healthcare Systems

5 Actionable Content Discovery for Healthcare

Ujwala Bharambe¹* and Anuradha Srinivasaraghavan^2†

1Computer Engineering Department, Thadomal Shahani Engineering College, Mumbai, India

2Computer Engineering Department, St. Francis Institute of Technology, Mumbai, India

Abstract

The clinical decisions are driven by all the available information of the medical and patient history. The issue currently faced is the provision of medical information that is based on evidence as soon as its requirement in delivering the best possible care at that time. This can be done by making the “evidence based actionable content” available to the healthcare professional at that time so as he can choose the best possible decision at that time. The actionable content gives clinical guidance in terms of recommendations that can be queried, link to relevant context, and actionable items. To discover actionable content in healthcare domain, health analytics needs a sequence of three types of analytics: descriptive, predictive and prescriptive. These analytics helps to retrieve coherent meaningful information that can represent actionable content. Traditional machine learning techniques help to transform descriptive analytics into predictive analytics. However, these techniques are data-hungry and in healthcare domain, data comes from multiple heterogeneous sources. These heterogeneity issues are addressed using semantic technology i.e. ontology. This chapter discusses the usability of ontology and proposed ...