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Articles 451 - 457 of 457

Full-Text Articles in Health Information Technology

A System To Keep Track Of Medical Expertise (Medix), Kasthuri Subaramaniam Jan 2000

A System To Keep Track Of Medical Expertise (Medix), Kasthuri Subaramaniam

Student Works (2000-2009)

This dissertation presents a system for keeping track of medical expertise as well as demonstrates the integration of different tools in a single application. MediX, a system to keep track of medical expertise, maintains the records of medical expertise, medical centres and specialties. MediX uses reporting, statistical, database, and authoring tools that are integrated in a programming package running under an operating system. MediX is a client/server-based system that has many significant features. MediX provides the tools necessary to view existing information in new forms and combinations. These include generation of reports. charts and graphs as well as statistical computing, …

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Information Technology In The Health Care Industry: A Primer, P. Southard, S. J. Hong, Keng Siau Jan 2000

Information Technology In The Health Care Industry: A Primer, P. Southard, S. J. Hong, Keng Siau

Research Collection School Of Computing and Information Systems

The paper discusses current and future applications of information technology within the healthcareindustry. It presents some broad strategies for approaching information technology investments and various tools available.

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Benchmarking Financial Operations Using The Premier Operations Outlook Database, Margaret M. Thompson Jan 1999

Benchmarking Financial Operations Using The Premier Operations Outlook Database, Margaret M. Thompson

Community & Environmental Health Theses & Dissertations

Acute-care hospitals have come under increased pressure to reduce costs while increasing the quality of providing care. Historically, increasing costs of providing care has had the greatest impact on the reduction of operating margins necessary to expand capital and for repayment of debt. Facilities can benchmark internal historical data to identify areas where costs have increased and are able to explain the factors that contribute to the increases. One of the challenges facing hospitals in their efforts to reduce operating costs is how, what, and where, do they obtain comparative data to benchmark the cost of operating medical facility to …

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Decision Analytic Approach To Severe Head Injury Management., Harmanec D., Tze-Yun Leong, Sundaresh S., Poh K., Yeo T., Ng I., Lew T. Jan 1999

Decision Analytic Approach To Severe Head Injury Management., Harmanec D., Tze-Yun Leong, Sundaresh S., Poh K., Yeo T., Ng I., Lew T.

Research Collection School Of Computing and Information Systems

Severe head injury management in the intensive care unit is extremely challenging due to the complex domain, the uncertain intervention efficacies, and the time-critical setting. We adopt a decision analytic approach to automate the management process. We document our experience in building a simplified influence diagram that involves about 3000 numerical parameters. We identify the inherent problems in structuring a model with unclear domain relationships, numerous interacting variables, and real-time multiple inputs. We analyze the effectiveness and limitations of the decision analytic approach and present a set of desiderata for effective knowledge acquisition in this setting. We also propose a …

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Modelling Medical Decisions In Dynamol: A New General Framework Of Dynamic Decision Analysis, Tze-Yun Leong, Cungen Cao Aug 1998

Modelling Medical Decisions In Dynamol: A New General Framework Of Dynamic Decision Analysis, Tze-Yun Leong, Cungen Cao

Research Collection School Of Computing and Information Systems

Dynamic decision analysis concerns decision problems in which both time and uncertainty are explicitly considered. We present a new dynamic decision analysis framework, called DynamoL, that supports graphical presentation of the decision factors in multiple perspectives. To alleviate the difficulty in assessing conditional probabilities over time in dynamic decision models, DynaMoL incorporates a Bayesian learning system to automatically learn the probabilistic parameters from large medical databases. We describe the DynaMoL modeling and learning architecture through a medical decision problem on the optimal follow-up schedule for patients after curative colorectal cancer surgery. We also show that the modeling experience and results …

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Stability And Resolution In Thermal Imaging, Lester Caudill, Kurt Bryan Jan 1995

Stability And Resolution In Thermal Imaging, Lester Caudill, Kurt Bryan

Department of Math & Statistics Faculty Publications

This paper examines an inverse problem which arises in thermal imaging. We investigate the problem of detecting and imaging corrosion in a material sample by applying a heat flux and measuring the induced temperature on the sample's exterior boundary. The goal is to identify the profile of some inaccessible portion of the boundary. We study the case in which one has data at every point on the boundary of the region, as well as the case in which only finitely many measurements are available. An inversion procedure is developed and used to study the stability of the inverse problem for …

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Dynamic Decision Modeling In Medicine: A Critique Of Existing Formalisms, Tze-Yun Leong Dec 1993

Dynamic Decision Modeling In Medicine: A Critique Of Existing Formalisms, Tze-Yun Leong

Research Collection School Of Computing and Information Systems

Dynamic decision models are frameworks for modeling and solving decision problems that take into explicit account the effects of time. These formalisms are based on structural and semantical extensions of conventional decision models, e.g., decision trees and influence diagrams, with the mathematical definitions of finite-state semi-Markov processes. This paper identifies the common theoretical basis of existing dynamic decision modeling formalisms, and compares and contrasts their applicability and efficiency. It also argues that a subclass of such dynamic decision problems can be formulated and solved more effectively with non-graphical techniques. Some insights gained from this exercise on automating the dynamic decision …

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