The future of clinical engineering: the challenge of change

Grimes, Stephen L.

doi:10.1109/memb.2003.1195702

Cited by 28 publications

(8 citation statements)

References 3 publications

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“…Literature [4] only discussed the storage formats of medical device data, while most importantly, it has neglected the exploration of data collection. Literature [5] proposes a model of software dynamic evolution, which has some reference value for such application scenarios with rapidly changing demands like MDI.…”

Section: Relevant Work and Technologymentioning

confidence: 99%

Medical Device Integration Model Based on the Internet of Things

Hao¹,

Wang²

2015

TOBEJ

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At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices are lack of mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical decices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop towards mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspected at the device terminal in a timely manner.

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Section: Relevant Work and Technologymentioning

confidence: 99%

Medical Device Integration Model Based on the Internet of Things

Hao¹,

Wang²

2015

TOBEJ

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“…Training of biomedical engineers is an ever-increasing concern as the nation's healthcare system is growing and changing (18). The Clinical Needs Finding project sought to fill the critical gap between clinical practice and engineering solutions in the Biomedical Engineering senior design experience.…”

Section: Outcomes and Best Practices: Instructor Perspectivementioning

confidence: 99%

Clinical Needs Finding: Developing the Virtual Experience—A Case Study

et al. 2013

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We describe an innovative program at the University of California, Davis for students to engage in clinical needs finding. Using a team-based approach, students participated in clinical rotations to observe firsthand the needs of clinicians at the university affiliated medical center. The teams were asked to develop documentary-style videos to capture key experiences that would allow future viewers to use the videos as "virtual" clinical rotations. This was conceived as a strategy to allow students in prohibitively large classes, or students in programs at institutions without associated medical or veterinary school programs, to experience clinical rotations and perform needs assessments. The students' perspectives on the experience as well as instructor analysis of best practices for this type of activity are presented and discussed. We found that the internship experience was valuable to the students participating, by not only introducing the practice of needs finding but for increasing the students' confidence in the practice of engineering design and their ability to work independently. The videos produced were of such high quality that instructors from other institutions have requested copies for instructional use. Virtual clinical rotations through video experiences may provide a reasonable substitute for students who do not have the ability to participate in rotations in person.

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“…Os serviços em Unidades de Terapia Intensiva têm por objetivo prestar atendimento a pacientes graves e de risco, os mesmos necessitam de assistência médica com supervisão 24 horas, além de equipamentos e recursos humanos especializados para cada caso [1].…”

Section: Introductionunclassified

Concepção De Um Software Para Uti-Adulto Do Hcu-Ufu

Bruno¹,

Olveira²,

Carvalho³

et al. 2016

Simpósio De Engenharia Biomédica

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(HCU-UFU) é um setor muito importante para o tratamento de pacientes em estados críticos que necessitam de um monitoramento contínuo de seus sinais vitais. Porém, com o processo de admissão de paciente na UTI sendo em documento físico, muito tempo dos profissionais é redirecionado para processos burocráticos em si, e não para com a assistência à saúde. O objetivo desse projeto foi a concepção de um software para automatizar esse processo. Assim o software foi desenvolvido no setor de Tecnologia de Informação do HCU-UFU. Os resultados obtidos foram as interfaces de controle de pacientes da UTI-Adulto e a otimização da geração de relatórios. Palavras-chave: HCU-UFU, UTI-Adulto, software, admissão de paciente.

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The future of clinical engineering: the challenge of change

Cited by 28 publications

References 3 publications

Medical Device Integration Model Based on the Internet of Things

Medical Device Integration Model Based on the Internet of Things

Clinical Needs Finding: Developing the Virtual Experience—A Case Study

Concepção De Um Software Para Uti-Adulto Do Hcu-Ufu

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