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Biomedical subjects

John Mantas

Publications and source records attributed to John Mantas.

11 recordsLinked to original sources
PubMed2005

Postgraduate studies in health informatics in Greece.

Health informatics is a well established and important multi-disciplinary and inter-disciplinary field that not only involves informatics but also medicine, nursing, engineering, biology and other-related subjects. A co-ordination of this field at a postgraduate level has become an important issue now in Europe where other European Community programs such as the Telematics for Health Care will require during the Fifth and Sixth Framework Programmes (2000-2006) adequate human resources of higher potential and knowledge. A European M.Sc. course met all the above objectives. The curriculum was developed according to previous experiences in similar programmes. Recently the course has been organised on the basis of an Inter-University nature with the participation of 5 Greek Universities. The paper aims at providing a current description of the academic programme and a brief evaluation of the implementation phase.

Curriculum↗
PubMed2004

Evaluating an ICNP Web-based nursing documentation system.

The purpose of this paper is to present the evaluation of a web based nursing documentation system which helps nursing professionals and students to study ICNP Greek beta 2 version and to create nursing diagnoses, interventions and outcomes by selecting relevant terms from ICNP. This advanced web-based ICNP browser enables the authentication of the user, and the creation of a type of nursing care plan through the use of ICNP. It provides different ways for creating nursing diagnoses, interventions and outcomes, by selecting relevant ICNP terms through the tree-structure view, index and search components of the tool. The evaluation of this nursing documentation system is carried out by a survey among nursing professionals working in nursing units in hospitals. The results which have derived from this survey are presented. Moreover, conclusions regarding the future changes that should be made in the system are reported.

Attitude to Computers↗
PubMed2003

Mathematical modelling for the study of respiratory mechanics.

The target of this study was the development of mathematical models that best describe the behaviour of respiratory parameters. First of all, we studied lung volume in relation to time both for normal and maximal inspiration/expiration by developing mathematical models. For the construction of these equations the exponential model was used. Then we tried to study the flow-volume of a typical spirometer curve by dividing it into two parts: the first part reaches the Peak Expiratory Flow (PEF) point and the second follows until the volume reaches Vital Capacity (VC). For the first part we built an exponential equation; for the second part a number of existing prediction equations for the flow in various points of VC were used. For the volume-pressure diagram, we built exponential equations that describe the volume-pressure relation below Vo (Vo: lung volume where pressure is zero). The equations were coupled for expiration and inspiration. The modeling of respiratory mechanics led us to the conclusion that the developed models could offer new potentials in the description of other respiratory parameters as well.

Adult↗
PubMed2003

Documenting nursing practice by using ICNP on the Web.

This paper presents the design and implementation of an internet based nursing care planning system which helps nursing professionals and students to study ICNP beta 2 version and to create nursing diagnoses, interventions and outcomes by selecting relevant terms from ICNP. This advanced web-based ICNP browser enables the authentication of the user, and the creation of a type of nursing care plan through the use of ICNP. It provides different ways for creating nursing diagnoses, interventions and outcomes, by selecting relevant ICNP terms through the tree-structure view, index and search components of the tool. The created diagnoses, interventions and outcomes are stored to a secured database. The system provides to the user the facility to build and manage nursing care plans by using both the English and the translated Greek ICNP versions. The first results of the implementation of this internet based nursing care planning system are presented.

Database Management Systems↗
PubMed2002

Statistical methods.

The purpose of this chapter is to present a conceptual framework that applies to almost all statistical procedures discussed so far in this text. We also describe briefly, using a conceptual framework only, some of the more advanced techniques used in medicine.

Humans↗
PubMed2002

Classification methods.

This chapter describes all the recent advances in statistical and syntactic pattern recognition, along with a number of the most important hybrid efforts in pattern recognition methodology, which together with structural pattern recognition, are the future trends in pattern recognition applications' schemes.

Bayes Theorem↗
PubMed2002

Electronic health record.

The chapter covers the electronic health record and electronic health record system that facilitates the use of EHR. The EHR is compared with the traditional handwritten health care record. Definition of Electronic Health Records and its association with the terminology, classification and coding is presented. The architecture of the Electronic Health Record is of strong significance as well as its attributes. Strategic approaches of designing systems supporting the use of electronic health records are depicted. A short presentation of current state of implementation and the obstacles for further implementation are given in the final part of the chapter.

Health Plan Implementation↗
PubMed2002

Nursing Information System.

Nursing Information System (NIS) is a part of a health care information system that deals with nursing aspects, particularly the maintenance of the nursing record. The several objectives that a Nursing Information system should meet in order to succeed its aims, cover the users' needs and operate properly are described. The functions of such systems, which combine with the basic tasks of the nursing care process, are examined. As Nursing Information System is part of the health care and hospital information system, the different strategies and approaches for designing and developing Hospital Information Systems followed from the decade of 1970 until the recent decade of 1990, are presented. The three main approaches followed were the "centralized approach", the "departmental approach", and the "distributed approach". The advantages and drawbacks of each different approach are examined. For the implementation or upgrade of Nursing Information System a NIS committee comprised by different health care professionals, is necessary to be formed. The implementation and upgrade of a Nursing Information System follows some specific phases. These steps, include planning phase, analysis phase, design phase, development phase, implementation phase, and upgrade phase. A paragraph at the end of this chapter summarizes the future trends of Nursing Information Systems.

Health Plan Implementation↗
PubMed2002

Education in health and nursing informatics.

This chapter focused on some of the key issues of Health and Nursing Informatics Education. First an historical overview of Health and Nursing Informatics Education is presented. We also describe briefly the activities in the domain of Nursing Informatics Education across Europe. The Special Projects for Health and Nursing Informatics in Europe are presented. Because of the variety of educational systems, the International Medical Informatics Association (IMIA) felt the need to develop international recommendations in health and medical informatics education. From a nursing informatics perspective, the IMIA recommendations in Nursing Informatics Education are discussed.

Curriculum↗
PubMed2002

Automatic detection of clustered microcalcifications in digital mammograms.

In this paper we propose a new algorithm for the detection of clustered microcalcifications using mathematical morphology and artificial neural networks. Considering each mammogram as a topographic representation, each microcalcification appears as elevation constituting a regional maxima. Morphological filters are applied, in order to remove noise and regional maxima that doesn't correspond to calcifications. Each suspicious object is marked using a binary image and finally a feed forward neural network classifies every object achieving a rate of 90% true positive detections with 0.11 false positives per image.

Automation↗