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What is Discovery

Encyclopedia of Business Analytics and Optimization
Discovery is a class of process mining techniques, where there is no a priori model, and the process model is built solely based on event log data.
Published in Chapter:
Increasing Visibility through Process Mining
Kalyan S. Pasupathy (Mayo Clinic, USA) and David A. Clark (University of North Carolina Hospitals, USA & University of Missouri, USA)
Copyright: © 2014 |Pages: 11
DOI: 10.4018/978-1-4666-5202-6.ch110
Abstract
Healthcare processes have variability embedded within care delivery systems. Healthcare providers and managers need visibility of the process to understand variability, and make process design changes, to improve safety and efficiency. Process mapping has been traditionally used to study processes, and is based on perceptions. However, to better understand and manage variability, there is an urgent need for process mining techniques. Process mining requires data for validation, to increase understanding and/or change perceptions and improve visibility. Radio frequency identification (RFID) can be used for collecting process-related data and can eliminate data quality issues. This paper discusses process mining and its application in healthcare, summarizes process mapping and RFID, and proposes an integration framework and method to improve visibility.
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The Noticers, the Mentors, and Me
The joyful experience of learning something new.
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Web Services
The act of locating a machine-processable description of a Web service-related resource that may have been previously unknown and that meets certain functional criteria.
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Distributed and Adaptive Service Discovery Using Preference
A task or mechanism to identify location of (i.e., a node hosting) services that an end user is searching for in a network.
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Arbitration in Patent Disputes: To What Extent Is It Possible?
Process through which a party to a dispute can obtain evidence from the other side through various mechanisms such as requests for admissions, depositions, requests for production of documents.
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Supporting Digital Information Literacy in the Age of Open Access: Considerations for Online Course Design
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