The O3-Vet project: A veterinary electronic patient record based on the web technology and the ADT-IHE actor for veterinary hospitals

Zaninelli, M.; Tangorra, F.M.; Castano, Silvana; Ferrara, Alfio; Ferro, E.; Brambilla, Paola G.; Faverzani, S.; Chinosi, S.; Scarpa, P.; Giancamillo, M. Di; Zani, Davide Danilo; Zepponi, A.; Saccavini, Claudio

doi:10.1016/j.cmpb.2007.04.005

Cited by 11 publications

(6 citation statements)

References 4 publications

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“…According to the diagram, when a “monitoring window” starts [30], a new “monitoring slot” is activated and a new “monitoring record” is initialized [31]. In a following step, the software application checks if at least one hen is detected, through the detection sensor, and in case of a positive result it updates the monitoring record.…”

Section: Methodsmentioning

confidence: 99%

First Results of a Detection Sensor for the Monitoring of Laying Hens Reared in a Commercial Organic Egg Production Farm Based on the Use of Infrared Technology

Zaninelli

Redaelli²,

Tirloni

et al. 2016

Sensors

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The development of a monitoring system to identify the presence of laying hens, in a closed room of a free-range commercial organic egg production farm, was the aim of this study. This monitoring system was based on the infrared (IR) technology and had, as final target, a possible reduction of atmospheric ammonia levels and bacterial load. Tests were carried out for three weeks and involved 7 ISA (Institut de Sélection Animale) brown laying hens. The first 5 days was used to set up the detection sensor, while the other 15 days were used to evaluate the accuracy of the resulting monitoring system, in terms of sensitivity and specificity. The setup procedure included the evaluation of different color background (CB) thresholds, used to discriminate the information contents of the thermographic images. At the end of this procedure, a CB threshold equal to an increase of 3 °C from the floor temperature was chosen, and a cutoff level of 196 colored pixels was identified as the threshold to use to classify a positive case. The results of field tests showed that the developed monitoring system reached a fine detection accuracy (sensitivity = 97.9% and specificity = 94.9%) and the IR technology proved to be a possible solution for the development of a detection sensor necessary to reach the scope of this study.

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Section: Methodsmentioning

confidence: 99%

First Results of a Detection Sensor for the Monitoring of Laying Hens Reared in a Commercial Organic Egg Production Farm Based on the Use of Infrared Technology

Zaninelli

Redaelli²,

Tirloni

et al. 2016

Sensors

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“…For example, in order to reach a better integration of software applications for medical hospitals, different standards have been developed (Digital Imaging and Communications in Medicine, DICOM and Health Level Seven, HL7- [26,27]) and "technical frameworks", that describe hospital workflows, have been written (Integrating the Healthcare Enterprise, IHE [28]). These technical frameworks identify a subset of functional components of the healthcare enterprise, called "IHE Actors" [15]. The frameworks specifies their interactions, in terms of a set of coordinated messages that can be sent or received on the basis of the standards already in use (i.e., DICOM and HL7).…”

Section: Discussionmentioning

confidence: 99%

“…More transactions can be organized in "integration profiles". Each integration profile describes real-world scenarios or specific sets of capabilities of integrated systems [15]. When a software house has a new product that implements one or more actors, it can test and declare its compatibility with the corresponding Technical Framework in order to prove its possible integration with other software applications.…”

Section: Discussionmentioning

confidence: 99%

The O3-Farm Project: First Evaluation of a Business Process Management (BPM) Approach through the Development of an Experimental Farm Management System for Milk Traceability

Zaninelli

Pace

2018

Agriculture

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The modeling of farm workflows, and the use of a business process management (BPM) paradigm, could enable improvement in the development of farm management information systems (FMIS). A rapid design of software applications could be possible and quick development, intrinsically service oriented, could be achieved through the use of a software suite for the implementation of BPM diagrams. As the first evaluation of this paradigm, an experimental FMIS was developed considering a “use-case” whose target was to develop a hardware and software solution for the traceability of milk. The outcomes of this activity have shown that the software application developed (O3-Farm) was able to provide all features of the database application previously used for the traceability of milk. At the same time, it was able to provide some new features such as increased usability, portability and efficiency. Also, the chance to integrate it with other possible software applications was increased as a result of a better sharing of agricultural data. This seems to suggest that a design, and a software suite, based on the BPM paradigm, could be a valid way for the development of FMIS also in line with the farm software environment models if its abilities to describe, use and deploy, workflows and software services are taken into consideration.

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“…13 In addition to financial barriers (including inadequate capital), 4,5,11 other barriers to adoption highlighted by human medical informatics research include inadequate technical capabilities, lack of health information data standards, gaps in system interoperability, clinician reluctance to change, perceived loss of productivity, interruptions in access to the Internet, and lack of interest in existing products. 4,14,15 Nevertheless, results of a 1997 telephone survey of animal hospitals demonstrated an interest among veterinary professionals in adoption and use of medical records database software to improve patient care. 9 The desire for a simple, complete EVMR was highlighted in a commentary that lauded electronic systems for their potential to improve quality of patient care and reduce medical errors.…”

mentioning

confidence: 99%

“…17 Electronic veterinary medical record systems available to the veterinary medical profession are believed to include some of these capabilities, although they have not been described as specifically having or lacking these functions. 1,10,13,14 Receiving greater attention recently, however, is the potential of EVMRs to contribute to understanding the epidemiology of animal diseases, including those that have zoonotic potential. 18 A comprehensive literature review in 2001 found that 868 of 1,415 (61%) infectious human pathogens were zoonotic and 132 of 175 (75%) pathogenic species associated with EIDs were zoonotic.…”

mentioning

confidence: 99%

Survey of electronic veterinary medical record adoption and use by independent small animal veterinary medical practices in Massachusetts

Krone

Brown²,

Lindenmayer³

2014

javma

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Objective To estimate the proportion of independent small animal veterinary medical practices in Massachusetts that use electronic veterinary medical records (EVMRs), determine the purposes for which EVMRs are used, and identify perceived barriers to their use. Design Survey. Sample 100 veterinarians. Procedures 213 of 517 independent small animal veterinary practices operating in Massachusetts were randomly chosen for study recruitment. One veterinarian at each practice was invited by telephone to answer a hardcopy survey regarding practice demographics, medical records type (electronic, paper, or both), purposes of EVMR use, and perceived barriers to adoption. Surveys were mailed to the first 100 veterinarians who agreed to participate. Practices were categorized by record type and size (large [≥ 5 veterinarians], medium [3 to 4 veterinarians], or small [1 to 2 veterinarians]). Results 84 surveys were returned; overall response was 84 of 213 (39.4%). The EVMRs were used alone or together with paper records in 66 of 82 (80.5%) practices. Large and medium-sized practices were significantly more likely to use EVMRs combined with paper records than were small practices. The EVMRs were most commonly used for ensuring billing, automating reminders, providing cost estimates, scheduling, recording medical and surgical information, and tracking patient health. Least common uses were identifying emerging infectious diseases, research, and insurance. Eleven veterinarians in paper record–only practices indicated reluctance to change, anticipated technological problems, time constraints, and cost were barriers to EVMR use. Conclusions and Clinical Relevance Results indicated EVMRs were underutilized as a tool for tracking and improving population health and identifying emerging infectious diseases. Efforts to facilitate adoption of EVMRs for these purposes should be strengthened by the veterinary medical, human health, and public health professions.

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The O3-Vet project: A veterinary electronic patient record based on the web technology and the ADT-IHE actor for veterinary hospitals

Cited by 11 publications

References 4 publications

First Results of a Detection Sensor for the Monitoring of Laying Hens Reared in a Commercial Organic Egg Production Farm Based on the Use of Infrared Technology

First Results of a Detection Sensor for the Monitoring of Laying Hens Reared in a Commercial Organic Egg Production Farm Based on the Use of Infrared Technology

The O3-Farm Project: First Evaluation of a Business Process Management (BPM) Approach through the Development of an Experimental Farm Management System for Milk Traceability

Survey of electronic veterinary medical record adoption and use by independent small animal veterinary medical practices in Massachusetts

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