scholarly journals AUTO DOCUMENTATION TO HOSPITAL INFORMATION SYSTEM USING “BAR-CODED MEDICATION ADMINISTRATION”

2017 ◽  
Vol 10 (13) ◽  
pp. 502
Author(s):  
Mohit Jain ◽  
Shola Usha Rani
Keyword(s):  
Information System ◽  
Medical Errors ◽  
Medication Administration ◽  
Health Care Information ◽  
Patient History ◽  
Bar Code ◽  
Related Information ◽  
Health Care Information Technology ◽  
Patient Will ◽  
Care Information

This paper is mainly on patient safety in health-care information technology (HIT). One of the main concerns with respect to this is recording all patient related information. One of the issues is auto documentation in HIT. Due to this, many medical errors are occurring, to avoid this automation to the patient history need to be supported. The patient will be linked with history, prescription, doctors, and nurse’s information. All this information should be linked with one patient ID known as bar code. The outcome of care transformations of the medication administration process that resulted from the implementation of one type of IT: Bar-coded medication administration (BCMA). Hence, this paper shows the technologies of BCMA how it works and the drawback of it and the implementation on open-source platform of BCMA.

Understanding Success and Failure of Healthcare Information Systems

2011 ◽  
pp. 96-128 ◽  
Author(s):  
Richard Heeks ◽  
David Mundy ◽  
Angel Salazar
Keyword(s):  
Information System ◽  
Information Systems ◽  
Public Sector ◽  
Health Care Information ◽  
Healthcare Organizations ◽  
Healthcare Information ◽  
Risk Of Failure ◽  
Increased Risk ◽  
Health Care Information Systems ◽  
Care Information

Some health care information systems (HCIS) do succeed, but the majority are likely to fail in some way. To explain why this happens, and how failure rates may be reduced, the chapter describes the “ITPOSMO” model of conception-reality gaps. This argues that the greater the change gap between current realities and the design conceptions (i.e., requirements and assumptions) of a new healthcare information system, the greater the risk of failure. Three archetypal large design-reality gaps affect the HCIS domain and are associated with an increased risk of failure: • Rationality—reality gaps: that arise from the formal, rational way in which many HCIS are conceived, which mismatches the behavioral realities of some healthcare organizations. • Private—public sector gaps: that arise from application in public sector contexts of HCIS developed for the private sector. • Country gaps: that arise from application in one country of HCIS developed in a different country.

Ontology and Terminology Servers in Agent-based Health-care Information Systems

1997 ◽  
Vol 36 (01) ◽  
pp. 30-43 ◽  
Author(s):  
G. Lanzola ◽  
M. Stefanelli ◽  
S. Falasconi
Keyword(s):  
Health Care ◽  
Information System ◽  
Distributed Applications ◽  
Multi Agent System ◽  
Health Care Information ◽  
Agent System ◽  
Semantic Coherence ◽  
Architectural Framework ◽  
Care Information ◽  
Multi Agent

Abstract:A new research paradigm is emerging based on the multi-agent system architectural framework, allowing human and software agents to interoperate and thus cooperate within common application areas. Within a multi-agent system, the different “views of the world” of knowledgeable agents are to be bridged through their commitment to common ontologies and terminologies. We developed a general methodology for the design or integration of new components into a Health-care Information System conceived as a network of software and human agents. In our view, ontological and terminological services are entrusted to dedicated agents, namely ontology and terminology servers, allowing the configuration of suitable application ontologies for distributed applications. The role is described that such servers, operatively coordinated in order to preserve semantic coherence, should play within a distributed Health-care Information System.

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