Confluence of Disciplines in Health Informatics: an International Perspective

Geissbühler, Antoine; Kimura, Michio; Kulikowski, Casimir A.; Murray, Peter; Ohno-Machado, Lucila; Park, H. A.; Haux, Reinhold

doi:10.3414/me11-06-0005

Cited by 17 publications

(6 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Variety Variety or Heterogeneity in healthcare data, stems from the existence of a large number of formal standards [45] and non-formal/custom standards [24]. This has led to the creation of several semantic reconciliation techniques and platforms which can resolve interoperability among the EHRs [44].…”

Section: Big Data In Healthcarementioning

confidence: 99%

See 1 more Smart Citation

Ubiquitous Health Profile (UHPr): a big data curation platform for supporting health data interoperability

et al. 2020

View full text Add to dashboard Cite

The lack of Interoperable healthcare data presents a major challenge, towards achieving ubiquitous health care. The plethora of diverse medical standards, rather than common standards, is widening the gap of interoperability. While many organizations are working towards a standardized solution, there is a need for an alternate strategy, which can intelligently mediate amongst a variety of medical systems, not complying with any mainstream healthcare standards while utilizing the benefits of several standard merging initiates, to eventually create digital health personas. The existence and efficiency of such a platform is dependent upon the underlying storage and processing engine, which can acquire, manage and retrieve the relevant medical data. In this paper, we present the Ubiquitous Health Profile (UHPr), a multi-dimensional data storage solution in a semi-structured data curation engine, which provides foundational support for archiving heterogeneous medical data and achieving partial data interoperability in the healthcare domain. Additionally, we present the evaluation results of this proposed platform in terms of its timeliness, accuracy, and scalability. Our results indicate that the UHPr is able to retrieve an error free comprehensive medical profile of a single patient, from a set of slightly over 116.5 million serialized medical fragments for 390,101 patients while maintaining a good scalablity ratio between amount of data and its retrieval speed.

show abstract

Section: Big Data In Healthcarementioning

confidence: 99%

“…Consequently, new challenges have emerged in the domain of healthcare, including lack of interoperability, globalization, collaborative capacity gap, tele-medicine, and ubiquitous healthcare [24]. The scale and scope of these challenges, has pushed beyond the scope of traditional data mining and integration techniques.…”

Section: Introductionmentioning

confidence: 99%

Ubiquitous Health Profile (UHPr): a big data curation platform for supporting health data interoperability

et al. 2020

View full text Add to dashboard Cite

show abstract

“…[38] - [40] and the already mentioned references [29], [32], [37] for debates from the past as well as [41] - [45] and [46] - [48] for more recent discussions).…”

Section: On Relationships With Other Disciplines and A Unique Featurementioning

confidence: 99%

“…"This is in my point of view mainly depending on whether medical informatics is willing and successful in taking over itself or whether it is not." (quoted from [32], related work can be found in [64] - [73]). …”

Section: On the Future Of Medical Informaticsmentioning

confidence: 99%

On Determining Factors for Good Research in Biomedical and Health Informatics

Haux

2014

Yearb Med Inform

Self Cite

View full text Add to dashboard Cite

Summary Objective: What are the determining factors for good research in medical informatics or, from a broader perspective, in biomedical and health informatics? Method: From the many lessons learned during my professional career, I tried to identify a fair sampling of such factors. On the occasion of giving the IMIA Award of Excellence lecture during MedInfo 2013, they were presented for discussion. Results: Sixteen determining factors (df) have been identified: early identification and promotion (df1), appropriate education (df2), stimulating persons and environments (df3), sufficient time and backtracking opportunities (df4), breadth of medical informatics competencies (df5), considering the necessary preconditions for good medical informatics research (df6), easy access to high-quality knowledge (df7), sufficient scientific career opportunities (df8), appropriate conditions for sustainable research (df9), ability to communicate and to solve problems (df10), as well as to convey research results (df11) in a highly inter- and multidisciplinary environment, ability to think for all and, when needed, taking the lead (df12), always staying unbiased (df13), always keeping doubt (df14), but also always trying to provide solutions (df15), and, finally, being aware that life is more (df16). Conclusions: Medical Informatics is an inter- and multidisciplinary discipline “avant la lettre”. Compared to monodisciplinary research, inter- and multidisciplinary research does not only provide significant opportunities for solving major problems in science and in society. It also faces considerable additional challenges for medical informatics as a scientific field. The determining factors, presented here, are in my opinion crucial for conducting successful research and for developing a research career. Since medical informatics as a field has today become an important driving force for research progress, especially in biomedicine and health care, but also in fields like computer science, it may be helpful to consider such factors in relation with research and education in our discipline.

show abstract

“…HI is a multidisciplinary science, which implies an intuitive relationship to the multidisciplinary health care team in promoting information-enhanced integrated care. 15 Herein lies another problem of tangled taxonomies as we see it today. Though both HI and health care are inherently multidisciplinary in approach, both can involve very different groups of professionals with their own skill sets, approaches to practice and views on terminology.This exacerbates the complexityofclassificationandimplementation.…”

Section: Dimensions Of Health Informatics Multidisciplinarymentioning

confidence: 99%

Unravelling the tangled taxonomies of health informatics

Barrett¹,

Liaw²,

Lusignan³

2014

Journal of Innovation in Health Informatics

View full text Add to dashboard Cite

Even though informatics is a term used commonly in healthcare, it can be a confusing and disengaging one. Many definitions exist in the literature, and attempts have been made to develop a clear taxonomy. Despite this, informatics is still a term that lacks clarity in both its scope and the classification of sub-terms that it encompasses. This paper reviews the importance of an agreed taxonomy and explores the challenges of establishing exactly what is meant by health informatics (HI). It reviews what a taxonomy should do, summarises previous attempts at categorising and organising HI and suggests the elements to consider when seeking to develop a system of classification. The paper does not provide all the answers, but it does clarify the questions. By plotting a path towards a taxonomy of HI, it will be possible to enhance understanding and optimise the benefits of embracing technology in clinical practice.

show abstract

Confluence of Disciplines in Health Informatics: an International Perspective

Cited by 17 publications

References 58 publications

Ubiquitous Health Profile (UHPr): a big data curation platform for supporting health data interoperability

Ubiquitous Health Profile (UHPr): a big data curation platform for supporting health data interoperability

On Determining Factors for Good Research in Biomedical and Health Informatics

Unravelling the tangled taxonomies of health informatics

Contact Info

Product

Resources

About