E-Health readiness framework from Electronic Health Records perspective

Li, Junhua; Land, Lesley Pek Wee; Ray, Pradeep; Chattopadhyaya, Subhagata

doi:10.1504/ijiem.2010.035626

Cited by 53 publications

(92 citation statements)

References 56 publications

(54 reference statements)

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“…In order to verify the reliability of the tool and to avoid multiple control testing, there was introduced a calculation of the Cronbach's Alpha ( ) coefficient of correlation for each category of readiness and for all categories combined. A third interesting example is found in the study "e-Health Readiness Framework from Electronic Health Records Perspective" (Li, 2008) conducted on the University of New South Wales in Australia. Research contribution of this study consists of three essential elements: a model of framework, methodology of assessment and evaluation of framework based on criteria and case studies.…”

Section: Overview Of the Relevant Documents And Projectsmentioning

confidence: 98%

Quality Assessment of E-Health Solutions in Primary Health Care - Approach Based on User Experience

Kralj¹

2012

Applied Biological Engineering - Principles and Practice

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Section: Overview Of the Relevant Documents And Projectsmentioning

confidence: 98%

Quality Assessment of E-Health Solutions in Primary Health Care - Approach Based on User Experience

Kralj¹

2012

Applied Biological Engineering - Principles and Practice

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“…The basic prerequisite for achieving extensive health information exchange in any country is a comprehensive implementation of Electronic Health Records (EHRs) at the micro level of healthcare (i.e. among healthcare providers), since EHRs form the core of any eHealth system [7]. Thus, previous implementation research often used the availability of an EHR application as a surrogate parameter of a successful implementation of eHealth in the sense of routine healthcare practice supported by electronic processes and communication.…”

Section: Introductionmentioning

confidence: 99%

“…This led policy makers to base national eHealth strategies largely on measures to accelerate the adoption of EHR systems [8][9][10][11]. Especially studies on barriers to the acceptance of eHealth and frameworks for the assessment of eHealth readiness tend to focus particularly on healthcare providers' views of EHRs [7,[12][13][14][15][16]. The problem is, however, that this approach neglects the great variety of EHR definitions and potentially available EHR functionalities.…”

Section: Introductionmentioning

confidence: 99%

Undirected health IT implementation in ambulatory care favors paper-based workarounds and limits health data exchange

Djalali

Rosemann

Senn

et al. 2015

International Journal of Medical Informatics

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BACKGROUND: The adoption and use of health information technology (IT) continues to grow around the globe. In Switzerland, the government nor professional associations have to this day provided incentives for health IT adoption. OBJECTIVE: We aim to assess the proportion of physicians who are routinely working with electronic health data and describe to what extent physicians exchange electronic health data with peers and other health care providers. Additionally, we aim to estimate the effect of physicians' attitude towards health IT on the adoption of electronic workflows. METHODS: Between May and July 2013, we conducted a cross-sectional survey of 1200 practice based physicians in Switzerland. Respondents were asked to report on their technical means and where applicable their paper-based workarounds to process laboratory data, examination results, referral letters and physician's letters. Physicians' view of barriers and facilitators towards health IT use was determined by a composite score. RESULTS: A response rate of 57.1% (n=685) was reached. The sample was considered to be representative for physicians in Swiss ambulatory care. 35.2% of the respondents documented patients' health status with the help of a longitudinal semi-structured electronic text record generated by one or more encounters in the practice. Depending on the task within a workflow, around 11-46% of the respondents stated to rely on electronic workflow practices to process laboratory and examination data and dispatch referral notes and physician's letters. The permanent use of electronic workflow processes was infrequent. Instead, respondents reported paper-based workarounds affecting specific tasks within a workflow. Physicians' attitude towards health IT was significantly associated with the adoption of electronic workflows (OR 1.04-1.31, p<0.05), but the effect sizes of factors related to the working environment (e.g., regional factors, medical specialty, type of practice) were larger. CONCLUSION: At present, only a few physicians in Swiss ambulatory care routinely work with electronic health data. Until more of their peers participate in electronic exchange of structured clinical information, most physicians will continue to stay in paper-based systems and workarounds. The survey found that physicians with a positive attitude towards health IT were more likely to adopt electronic workflows, but the impact is minor. It will likely be necessary to introduce financial incentives and develop national standards in order to promote the adoption by a critical mass of practicing clinicians. Abstract BackgroundThe adoption and use of health information technology (IT) continues to grow around the globe. In Switzerland, the government nor professional associations have to this day provided incentives for health IT adoption. ObjectiveWe aim to assess the proportion of physicians who are routinely working with electronic health dataand describe to what extent physicians exchange electronic health data with peers and other health care p...

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“…The usage of Artificial Intelligence in Medicine is a relatively new concept and highly relevant to the modern requirements of diagnosis [1][2][3][4][5][6][7]. In cases such as depression diagnosis where the uncertainty plays a major role, an intelligent algorithm can provide high levels of accuracy than the traditional methods of diagnosis.…”

Section: Introductionmentioning

confidence: 99%

Modeling Depression Data: Feed Forward Neural Network vs. Radial Basis Function Neural Network

Mukherjee¹,

Kumar²,

Hui³

et al. 2014

Am. J. Biomed. Sci.

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Depression is a serious affliction that affects a large fraction of the global populace. Due to the widely varying symptoms the diagnosis poses a unique problem based on uncertainty. This paper proposes an approach to tackle the aspect of uncertainty using Soft Computing techniques, which are trained using real life medical data. We have developed two forms of intelligent Neural Network models to help in obtaining a reasonably accurate diagnosis. Trials with test data have yielded nominal Mean Squared Error. Hence this could prove to be a useful tool in automated diagnosis of depression.

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E-Health readiness framework from Electronic Health Records perspective

Cited by 53 publications

References 56 publications

Quality Assessment of E-Health Solutions in Primary Health Care - Approach Based on User Experience

Quality Assessment of E-Health Solutions in Primary Health Care - Approach Based on User Experience

Undirected health IT implementation in ambulatory care favors paper-based workarounds and limits health data exchange

Modeling Depression Data: Feed Forward Neural Network vs. Radial Basis Function Neural Network

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