A systems approach for modeling health information complexity

Champion, Caitlin; Affleck, Ewan; Alvarez, Gonzalo G.

doi:10.1016/j.ijinfomgt.2019.07.002

Cited by 25 publications

(18 citation statements)

References 43 publications

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“…Pooling of developments for the common good was possible, but its success in practice was rare [62] . Regarding other successful modeling, system approaches for handling health information complexity [63] may be helpful in shaping a robust e-health support for future emergencies.…”

Section: Resultsmentioning

confidence: 99%

Identifying and addressing digital health risks associated with emergency pandemic response: Problem identification, scoping review, and directions toward evidence-based evaluation

Wong

Rigby

2022

International Journal of Medical Informatics

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Section: Resultsmentioning

confidence: 99%

Identifying and addressing digital health risks associated with emergency pandemic response: Problem identification, scoping review, and directions toward evidence-based evaluation

Wong

Rigby

2022

International Journal of Medical Informatics

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“…Medical/health education and training is important to ensure a competent workforce. While COVID-19 has highlighted the need for virtual care, effective implementation and adoption is still a long way off [ 5 , 44 ].…”

Section: Results: Pci Response To Covid-19mentioning

confidence: 99%

“…Despite a lack of evidence for the access, equity, utility, safety and quality of telehealth, it quickly became policy (Box 1) [ 4 ]. The scope to develop PCI and digital health to support primary care during COVID-19 cannot be separated from policy, human resources and other system limitations [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Primary Care Informatics Response to Covid-19 Pandemic: Adaptation, Progress, and Lessons from Four Countries with High ICT Development

et al. 2021

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Objective: Internationally, primary care practice had to transform in response to the COVID pandemic. Informatics issues included access, privacy, and security, as well as patient concerns of equity, safety, quality, and trust. This paper describes progress and lessons learned. Methods: IMIA Primary Care Informatics Working Group members from Australia, Canada, United Kingdom and United States developed a standardised template for collection of information. The template guided a rapid literature review. We also included experiential learning from primary care and public health perspectives. Results: All countries responded rapidly. Common themes included rapid reductions then transformation to virtual visits, pausing of non-COVID related informatics projects, all against a background of non-standardized digital development and disparate territory or state regulations and guidance. Common barriers in these four and in less-resourced countries included disparities in internet access and availability including bandwidth limitations when internet access was available, initial lack of coding standards, and fears of primary care clinicians that patients were delaying care despite the availability of televisits. Conclusions: Primary care clinicians were able to respond to the COVID crisis through telehealth and electronic record enabled change. However, the lack of coordinated national strategies and regulation, assurance of financial viability, and working in silos remained limitations. The potential for primary care informatics to transform current practice was highlighted. More research is needed to confirm preliminary observations and trends noted.

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“…With the global recognition of the increasing complexity and sustainability issues of eHealth/ HIT implementation especially in resource-constrained situations by researchers and policymakers alike, the aims of this readiness assessment study are threefold (Faiola and Holden, 2017;Kuziemsky et al, 2016;S. Valdez and Brennan, 2017;Tarofder et al, 2019;Champion et al, 2019). First, this study aims to contribute to the very limited literature on the availability of standard eHealth readiness assessment model and reliable measuring tools/items as well as to theories of technology adoption.…”

Section: Introductionmentioning

confidence: 99%

A model for evaluating eHealth preparedness – a case study approach

Yusif

Hafeez‐Baig

Soar

2020

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Purpose This paper aims to validate an initially developed e-Health readiness assessment model. Design/methodology/approach The authors thematically analysed an initial qualitative data collected and used the outcome to develop survey instruments for this study. To collect the quantitative data, the authors used the drop and collect survey approach given the research setting. The quantitative data was analysed using factor and regression analyses of SPSS 23 in which hypotheses formulated were tested. Findings The results suggest that the model [R2 = 0.971; F (5, 214) = 1414.303], which is made up of readiness assessment factors (constructs) and measuring tools explain about 97% of the variance of the overall health information technology/e-Health adoption readiness at Komfo Anokye Teaching Hospital. The measuring tools were reliable for assessing the composite variables (constructs): technology readiness; operational resource readiness; organizational and cultural readiness; regulatory and policy readiness; and core readiness, which have significant influence on eHealth adoption readiness assessment.. Originality/value This study has successfully validated empirically developed eHealth readiness assessment model with complete reliable indicators given that existing eHealth readiness assessment models have not been effective due to a general lack of standard indicators for measuring assessment factors. The study also contributes to the growing research on the adoption of information technology/systems in health-care environment using the Technology–Organization–Environment framework.

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A systems approach for modeling health information complexity

Cited by 25 publications

References 43 publications

Identifying and addressing digital health risks associated with emergency pandemic response: Problem identification, scoping review, and directions toward evidence-based evaluation

Identifying and addressing digital health risks associated with emergency pandemic response: Problem identification, scoping review, and directions toward evidence-based evaluation

Primary Care Informatics Response to Covid-19 Pandemic: Adaptation, Progress, and Lessons from Four Countries with High ICT Development

A model for evaluating eHealth preparedness – a case study approach

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