Lessons Learned from Implementation of a Perinatal Documentation System

Chao, Chia An; Goldbort, Joanne

doi:10.1111/j.1552-6909.2012.01378.x

Cited by 4 publications

(3 citation statements)

References 23 publications

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“…52,53 Some articles in both mainstream academic and grey literature provide guidance and opinions on the implementation of healthcare IT, particularly electronic medical records, without describing which specific project management methodologies they may be reflecting on. 27,[54][55][56] They also lack empirical evidence to support their guiding principles and often only cite unvalidated 'lessons learnt' or respondents' opinions from single-location implementations. [51][52][53] Health care is an evidence-based discipline, and this should apply to implementation of HIT projects.…”

Section: Project Management In Hit Implementationsmentioning

confidence: 99%

Are we doing it right? We need to evaluate the current approaches for implementation of digital health systems

2021

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Successful implementation of digital health programs is imperative as it is becoming increasingly clear that digital solutions will underpin modern health care. These projects are often supported by large budgets and if not implemented successfully, the quality, safety, and efficiency of patient care may be compromised. Failure rates for the implementation of large, complex healthcare software platforms in digital health programs have been persistently high. Although several factors may contribute to the failure of such projects, the majority have been reported to fail largely due to poor project management. Nevertheless, little is known about the optimal project management approaches for digital health projects, with many health services reliant on external advisory companies and contractors for advice. Although publication bias makes it difficult to reliably study and understand global trends for the failure of digital health projects, examination of media reports and published literature indicates that this is a global phenomenon affecting digital health projects in North America, Europe and Australasia. In this article, our aim is to examine the literature for evidence underpinning current project management approaches used when implementing commercial, off-the-shelf healthcare information technology solutions, including complex healthcare software in large digital health programs in hospitals or across health systems, and evaluate the suitability of current project management approaches to deliver these projects. This starts to build an important evidence base for hospitals and health services considering digital transformation projects.

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Section: Project Management In Hit Implementationsmentioning

confidence: 99%

Are we doing it right? We need to evaluate the current approaches for implementation of digital health systems

2021

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“…[12][13][14][15] Research concerning the use of technology within nursing and midwifery practice finds midwives have favourable attitudes towards the use of technology. 16,17 However, results from pre-and post-implementation studies 16,[18][19][20] show that these positive attitudes lessen after implementation of computer technology. 16 One such technology recently introduced into midwifery practice in Queensland, Australia, relates to perinatal data collection.…”

Section: Introductionmentioning

confidence: 99%

Does use of computer technology for perinatal data collection influence data quality?

Craswell

Moxham

Broadbent

2014

Health Informatics J

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Population health data, collected worldwide in an effort to monitor mortality and morbidity of mothers and babies, namely, perinatal data, are mandated at a federal level within Australia. The data are used to monitor patterns in midwifery, obstetric and neonatal practice, health outcomes, used for research purposes, funding allocation and education. Accuracy in perinatal data is most often reported via quantitative validation studies of perinatal data collections both internationally and in Australia. These studies report varying levels of accuracy and suggest researchers need to be more aware of the quality of data they use. This article presents findings regarding issues of concern identified by midwives relating to their perceptions of how technology affects the accuracy of perinatal data records. Perinatal data records are perceived to be more complete when completed electronically. However, issues regarding system functionality, the inconsistent use of terminology, lack of data standards and the absence of clear, written records contribute to midwives' perceptions of the negative influence of technology on the quality of perinatal data.

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“…As classificações de enfermagem têm o potencial de ampliar o universo de possibilidades para o raciocínio clínico, assegurando que a atividade profissional do enfermeiro seja mais bem compreendida e fundamentada (Maia et al, 2014). A utilização de classificações possibilita descrever e comunicar o saber e o fazer do enfermeiro, numa linguagem compreendida por todos e assim desenvolver o conhecimento da prática de enfermagem, por meio da extração e análise dos dados de avaliação, intervenção e resultados (Lovis et al, 2003;Moen, 2003;Muller-Staub et al, 2006;Sperandio, 2008;Dal Sasso, 2010;Chao & Goldbort, 2012;Carvalho & Herdman, 2013). Além disso, o uso de classificações de enfermagem garante harmonização dos termos, facilitando a utilização dos dados de enfermagem em sistemas informatizados (Muller-Staub et al, 2006;Peres et al, 2009).…”

Section: Processo De Enferm Ag Em E Acurácia Diagnó Sticaunclassified

Avaliação da acurácia de diagnósticos de enfermagem determinados por usuários de sistema de apoio à decisão clínica

Diogo¹

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A Deus, por me permitir viver esta experiência e a realização deste sonho. Aos meus pais Rubens e Elza pela minha educação.Ao meu esposo Jayro pelo apoio, amor carinho amizade e compreensão que foram essenciais para eu conseguir concretizar este sonho. Às minhas filhas Marcela e Laura pelo incentivo e compreensão.À minha orientadora Prof. a Heloísa pelo apoio, empenho e orientação primorosa na realização desta pesquisa.À minha coorientadora Prof. a Rita pelo aprendizado e pelo carinho e cuidado com que coorientou esta pesquisa.Aos colegas do grupo de estudos DIRENF em especial à Prof. a Diná pelos preciosos ensinamentos.

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Lessons Learned from Implementation of a Perinatal Documentation System

Cited by 4 publications

References 23 publications

Are we doing it right? We need to evaluate the current approaches for implementation of digital health systems

Are we doing it right? We need to evaluate the current approaches for implementation of digital health systems

Does use of computer technology for perinatal data collection influence data quality?

Avaliação da acurácia de diagnósticos de enfermagem determinados por usuários de sistema de apoio à decisão clínica

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