Step Towards a Patient Timeline in Intensive Care Units

Braga, André; Portela, Filipe; Santos, Manuel Filipe; Machado, José; Abelha, António; Silva, Álvaro; Rua, Fernando

doi:10.1016/j.procs.2015.08.575

Cited by 6 publications

(1 citation statement)

References 7 publications

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“…Intensive Medicine is a multidisciplinary field in health care with focus on the prevention, diagnostic and treatment of patients with dysfunction or failure of one or more organs, particularly respiratory and cardiovascular systems [1,9]. These patients are admitted to Intensive Care Units (ICU), which are specially prepared to continuously monitor vital functions and offer mechanical or pharmacological support [1,3]. Due to the high complexity and severity of the cases handled in the ICU, it is essential that health professionals make the right decisions in a timely manner.…”

Section: Intensive Medicinementioning

confidence: 99%

How to Assess the Acceptance of an Electronic Health Record System?

Fernandes

Portela

Santos

et al. 2020

Trends and Innovations in Information Systems and Technologies

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Being able to access a patient's clinical data in due time is critical to any medical setting. Clinical data is very diverse both in content and in terms of which system produces it. The Electronic Health Record (EHR) aggregates a patient's clinical data and makes it available across different systems. Considering that user's resistance is a critical factor in system implementation failure, the understanding of user behavior remains a relevant object of investigation. The purpose of this paper is to outline how we can assess the technology acceptance of an EHR using the Technology Acceptance Model 3 (TAM3) and the Delphi methodology. An assessment model is proposed in which findings are based on the results of a questionnaire answered by health professionals whose activities are supported by the EHR technology. In the case study simulated in this paper, the results obtained showed an average of 3 points and modes of 4 and 5, which translates to a good level of acceptance.

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Section: Intensive Medicinementioning

confidence: 99%