A “design-pattern”-based approach for analyzing e-health business models

Mettler, Tobias; Eurich, Markus

doi:10.1016/j.hlpt.2012.04.005

Cited by 40 publications

(36 citation statements)

References 27 publications

(30 reference statements)

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“…Good examples for design/engineering practice theories are approaches for identifying and reusing patterns that can be found not only in civil engineering (e.g., [2]) and software engineering (e.g., [8]), but also in the context of organizational engineering (e.g., [14,15]). This more inductive approach is able to generalize and reuse yet 'unexplained', innovative practices without having to take the 'detour' of descriptive theorizing.…”

Section: Models and Methods Need Theorizingmentioning

confidence: 99%

Model enablement in organizational design and enterprise engineering: the why, the how and the what

Winter

2017

Organ Des Enterp Eng

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Referring to the editorial paper on the launch of this journal, this commentary focuses on the enabling role of models for Organizational Design & Enterprise Engineering (OD&EE). Three aspects are discussed: (1) why should OD&EE be enabled by models only? Can models provide a sufficient coverage of the multi-faceted challenges of OD&EE, or should also other artefact types be considered as core OD&EE enablers? (2) How can models be used in a way that OD&EE knowledge is created and reused in an effective and efficient way? (3) What models and methods are needed when OD&EE aims to be perceived as a scientific discipline rather than as practice? What types of generalized OD&EE knowledge should be differentiated, and what methodological challenges have to be addressed?

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Section: Models and Methods Need Theorizingmentioning

confidence: 99%

Model enablement in organizational design and enterprise engineering: the why, the how and the what

Winter

2017

Organ Des Enterp Eng

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“…As mentioned in [13] [19] [20], it can be defined as a new paradigm for the management of medical information that involves technology aspects to access, share and store electronic patient's information, administrative and operational processes in health institutions and the interoperability between hospital information systems. But it is more than that, It also means a culture change, a way of thinking, seeing and analyzing the entire domain in order to improve patient's health care.…”

Section: Software Engineering and Ehealthmentioning

confidence: 99%

“…When the comparison is completed, the analysis result could be located in 4 groups: true positives, true negatives, the false positives and the false negatives [20] [29]. The idea is to detect a high rate of true positives cases with the small rate of false negatives.…”

Section: Trisomy 21 Risk Calculation Management Componentmentioning

confidence: 99%

“…For the age evaluation, there is also a risk known as fetus prior affection [20] that establishes that the risk that a patient has of presenting trisomy 21 increase and it is higher than the risk calculate based on the age, when this patient has already presented a trisomy 21 case before.…”

Section: Maternal Age Risk Estimationmentioning

confidence: 99%

“…The intrauterine lethality [20] is also one important variable that needs to be taken in consideration based on the age of the mother. This variable is calculated based on the aneuploidy observed versus the expected, from mothers with different age.…”

Section: Maternal Age Risk Estimationmentioning

confidence: 99%

See 2 more Smart Citations

eHealth Management Platform for Screening and Prediction of Down’s Syndrome in the Republic of Panama

Saldaña¹,

Vargas-Lombardo²

2014

ETSN

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Through engineering projects, we have integrated software engineering, geographical information systems and HL7 standard to propose a model of an eHealth management platform for Down's syndrome screening, replicable in all the country. It will use real time sample information acquired from the local population and will geographically reference this information in the territory of Panama for future research.

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Identifying the business model dimensions of data sharing: A value‐based approach

Arenas

Goh

Matthews

2019

Asso for Info Science & Tech

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This study aimed to investigate the underlying business model of organizations that have data sharing at the core of their activities. Previous work has stressed that data‐sharing projects need to be sustainable in the long term, and highlighted the need for a deeper understanding of the operation model of existing data‐sharing initiatives. To investigate this important issue, we took a qualitative approach to uncover the dynamics of value creation in data sharing. Using a case study method, we examined two data‐sharing sites across different areas. We conducted semistructured interviews with managers from data centers and other stakeholders, and reviewed documents about the technical and managerial practices to determine the main characteristics of their business models. In addition, we applied the e3‐value modeling methodology to tease out the value flows within each site. Our findings demonstrated the importance of the value network dimension of a business model, as data sharing relies on a set of actors creating and getting value in the process, and the significance of intangible assets. The main contributions of this study include extending current understanding on data‐sharing business models by analyzing key dimensions, and uncovering how value is created and transferred in data sharing.

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A “design-pattern”-based approach for analyzing e-health business models

Cited by 40 publications

References 27 publications

Model enablement in organizational design and enterprise engineering: the why, the how and the what

Model enablement in organizational design and enterprise engineering: the why, the how and the what

eHealth Management Platform for Screening and Prediction of Down’s Syndrome in the Republic of Panama

Identifying the business model dimensions of data sharing: A value‐based approach

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