• META DATA TO META INFORMATION: A CASE STUDY FROM HEALTH SERVICES
Abstract
ABSTRACT
This research paper discusses the concept of M-data with reference to health care sector. Thereafter the concept of M-information is introduced including definitions, examples, nature, uses and extraction techniques. M-information can be extracted using algorithms, artificial neural networks, heuristics, data models, decision support systems, models etc. But this current paper is based on a CASE study that utilizes Queuing model. This leads to conceptual information that is represented as a series of production rules (IF…..THEN). These rules can be used to validate the concept extracted from the underlying Decision Support model.
This research paper discusses the concept of M-data with reference to health care sector. Thereafter the concept of M-information is introduced including definitions, examples, nature, uses and extraction techniques. M-information can be extracted using algorithms, artificial neural networks, heuristics, data models, decision support systems, models etc. But this current paper is based on a CASE study that utilizes Queuing model. This leads to conceptual information that is represented as a series of production rules (IF…..THEN). These rules can be used to validate the concept extracted from the underlying Decision Support model.
Keywords
Keywords: Meta Information, OPD, Healthcare, Queuing Model etc.
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