Integrating a New Generation of Interoperability Agents into the AIDA Platform

2021 ◽  
Vol 3 (1) ◽  
pp. 54-64
Author(s):  
Francisca Nogueira ◽  
Diana Ferreira ◽  
Regina Sousa ◽  
António Abelha ◽  
José Machado

Health is an information rich and complex environment, which makes it essential to implement interoperability in different health organizations and the consequent homogeneity among Health Information Systems (HIS). The Agency for the Integration, Dissemination and Archiving of Medical and Clinical Information (AIDA) is a consistent agent monitoring platform capable of guaranteeing the automation of information as well as the interoperability and integration of HIS. This platform was designed as a solution to the information islands that are commonly found in hospital systems, and it is currently being used in several hospitals throughout Portugal. However, like any technological innovation, the solution requires a constant health technology assessment (HTA) to ensure the absence of obsolescence and a continued efficiency and security of the platform. Hence, this article focuses on the relevance and the need for vigilance, culminating in the restructuring of certain intelligent agents that make up the AIDA platform.

Author(s):  
D. John Doyle

E-health technology has started to become commonplace in the clinical world, with practitioners setting up their own Web sites to disseminate educational information to patients, with physicians and nurses working as team members to access clinical information about a patient using an electronic patient chart, and with patients even conducting their own research to make informed decisions about clinical options.However, these potential benefits must be tempered from the perspective of medical privacy. Ever since the Hippocratic Oath of antiquity, protecting the privacy of patients has been an important precept of medical ethics. With technological developments, however, health information has come into use by many organizations and individuals that may be unsensitized to medical privacy concerns. This report is concerned with these issues.


Author(s):  
Ralf Bruns ◽  
Jürgen Dunkel

We propose the software architecture of a new generation of advisory systems using Intelligent Agent and Semantic Web technologies. Multi-agent systems provide a well-suited paradigm to implement negotiation processes in consultancy situations. Intelligent software agents act as clients and advisors using their knowledge in order to assist human users. In the proposed architecture the domain knowledge is semantically modeled by means of XML-based ontology languages such as OWL. Using an inference engine the agents reason on base of their knowledge to make decisions or proposals. The agent knowledge consists of different types of data: on the one hand private data, which has to be protected against unauthorized access, and on the other hand publicly accessible data spread over different web sites. Comparable to a real consultancy situation, an agent only reveals sensitive private data if it is indispensable for finding a solution. In addition, depending on the actual consultancy situation each agent dynamically expands its knowledge base by accessing OWL knowledge sources from the Internet. The usefulness of our approach is proved by the implementation of an advisory system whose objective is to develop virtual student advisers that render support to university students in order to successfully organize und perform their studies.


Author(s):  
Allan S Jaffe

Understanding the proper use of biomarkers requires clinicians to appreciate some critical pre-analytic and analytic issues, as well as how to use the markers properly. The bene?ts of such an approach will not only facilitate the care of patients today, but will also prepare clinicians to understand and embrace the new generation of markers that is coming and that will continue to make this area transformational for cardiology. Two fundamental concepts underlie the clinical use of biomarkers: First, biomarkers should always be used in conjunction with all other clinical information. Second, in order to maximize their diagnostic and prognostic use, biomarkers should be interpreted as quantitative variables. For example, a cardiac troponin level which is 50 times the upper limit of normal has a much higher positive predictive value for the presence of an acute myocardial infarction, compared to a level just above the upper limit of normal.


2021 ◽  
Vol 10 (1) ◽  
pp. 97
Author(s):  
Reza Abbasi ◽  
Reza Khajouei ◽  
Monireh Sadeghi Jabali ◽  
Moghadameh Mirzaei

Introduction: One of the well-known problems related to the information quality is the information incompleteness in health information systems. The purpose of this study was to investigate the completeness rate of patients’ information recorded in the hospital information system, sending information from which to Iranian electronic health record system (SEPAS) seemed to be unsuccessful.Methods: This study was conducted in six hospitals associated with Kerman University of Medical Sciences (KUMS) in Iran. In this study, 882 records which had failed to be sent from three hospital information systems to SEPAS were reviewed and the data were collected using a checklist. Data were analyzed using the descriptive and inferential statistics with SPSS.18.Results: A total of 18758 demographic and clinical information elements were examined. The rate of completeness was 55%. The highest completeness rate of demographic information was related to name, surname, gender, nationality, date of birth, father's name, marital status, place of residence, telephone number (79-100%), and in clinical information it was related to the final diagnosis (74%). The completeness rate of some information elements was significantly different among the hospitals (p <0.05). The completeness rate of information communicated to the Iranian national electronic health record was at a moderate level.Conclusion: This study showed that completeness rate is different among hospitals using the same hospital information system. The results of this study can help the health policymakers and developers of the national electronic health record in developing countries to improve completeness rate and also information quality in health information systems.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
F. Pollis ◽  
M. Ciriello ◽  
F. Riva ◽  
M. Bertolotti ◽  
G. Peretti ◽  
...  

The Health Technology Assessment (HTA), was created to provide an operational response to the gap between the limited resources of the NHS, the increasingly differentiated demand for health and rapid technological innovation. According to AGENAS it is "a multidisciplinary approach for the analysis of the medical-clinical, social, organizational, economic, ethical and legal implications of a health technology". The objective of HTA is to assess the effects of technology, as well as the consequences that the introduction or exclusion of an intervention may have for the NHS, the economy and society".


Pharmacy ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 194
Author(s):  
João R. Gonçalves ◽  
Betsy L. Sleath ◽  
Manuel J. Lopes ◽  
Afonso M. Cavaco

Medicines are the most used health technology in Long-Term Care. The prevalence of potentially inappropriate medicines amongst Long-Term Care patients is high. Pharmacists, assisted by prescribing-assessment tools, can play an important role in optimizing medication use at this level of care. Through a modified RAND/UCLA Appropriateness Method, 13 long-term care and hospital pharmacists assessed as ‘appropriate’, ‘uncertain’, or ‘inappropriate’ a collection of commonly used prescribing-assessment tools as to its suitability in assisting pharmacy practice in institutional long-term care settings. A qualitative analysis of written or transcribed comments of participants was pursued to identify relevant characteristics of prescribing-assessment tools and potential hinders in their use. From 24 different tools, pharmacists classified 9 as ‘appropriate’ for pharmacy practice targeted to long-term care patients, while 3 were classified as ‘inappropriate’. The tools feature most appreciated by study participants was the indication of alternatives to potentially inappropriate medication. Lack of time and/or pharmacists and limited access to clinical information seems to be the most relevant hinders for prescribing-assessment tools used in daily practice.


Author(s):  
Ana Elisa Pacheco de Castro

This research shall analyse the implementation of a new product and an entrepreneurial business model in Brazil of the ´90s and endeavour to trace cause and effect relations by means of the elaboration of scenarios. To ensure effectiveness, the methodology foresees a combination of inductive and deductive techniques. This choice arises from an understanding that it this is the best way to analyse a complex environment such as that of Brazil which, despite linguistic unity, comprises significant distinctions in each of its five regions. It is herein expected to bring forth an improved understanding of studies, related to the set up of information technology companies in the Brazilian territory, and pinpoint this market´s peculiarities to possible entrants, regardless of their segment.Key words: Free software. Technological innovation. Crowdsourcing in Brazil. Scenarios and new business.


Author(s):  
Allan S Jaffe

Understanding the proper use of biomarkers requires clinicians to appreciate some critical pre-analytic and analytic issues, as well as how to use the markers properly. The bene?ts of such an approach will not only facilitate the care of patients today, but will also prepare clinicians to understand and embrace the new generation of markers that is coming and that will continue to make this area transformational for cardiology. Two fundamental concepts underlie the clinical use of biomarkers: First, biomarkers should always be used in conjunction with all other clinical information. Second, in order to maximize their diagnostic and prognostic use, biomarkers should be interpreted as quantitative variables. For example, a cardiac troponin level which is 50 times the upper limit of normal has a much higher positive predictive value for the presence of an acute myocardial infarction, compared to a level just above the upper limit of normal.


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