Big data and stratified medicine: what does it mean for children?

Ding, Wen Yi; Beresford, Michael W.; Saleem, Moin A.; Ramanan, Athimalaipet V

doi:10.1136/archdischild-2018-315125

Cited by 12 publications

(5 citation statements)

References 37 publications

(27 reference statements)

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“…Extant empirical studies often assumed that MCNs are exogenous and found that medical collaborative practices may be affected by factors at individual, organizational, and system levels, such as mutual trust [20,21], IT infrastructure [22][23][24], medical policies, investment of public funds [9], and remuneration methods [4]. However, the conclusions drawn regarding the influence of these factors are inconsistent and contradictory [5].…”

Section: Transaction Efficiency Of Medical Servicesmentioning

confidence: 99%

Mechanism of Impact of Big Data Resources on Medical Collaborative Networks From the Perspective of Transaction Efficiency of Medical Services: Survey Study

2022

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Background The application of big data resources and the development of medical collaborative networks (MCNs) boost each other. However, MCNs are often assumed to be exogenous. How big data resources affect the emergence, development, and evolution of endogenous MCNs has not been well explained. Objective This study aimed to explore and understand the influence of the mechanism of a wide range of shared and private big data resources on the transaction efficiency of medical services to reveal the impact of big data resources on the emergence and development of endogenous MCNs. Methods This study was conducted by administering a survey questionnaire to information technology staff and medical staff from 132 medical institutions in China. Data from information technology staff and medical staff were integrated. Structural equation modeling was used to test the direct impact of big data resources on transaction efficiency of medical services. For those big data resources that had no direct impact, we analyzed their indirect impact. Results Sharing of diagnosis and treatment data (β=.222; P=.03) and sharing of medical research data (β=.289; P=.04) at the network level (as big data itself) positively directly affected the transaction efficiency of medical services. Network protection of the external link systems (β=.271; P=.008) at the level of medical institutions (as big data technology) positively directly affected the transaction efficiency of medical services. Encryption security of web-based data (as big data technology) at the level of medical institutions, medical service capacity available for external use, real-time data of diagnosis and treatment services (as big data itself) at the level of medical institutions, and policies and regulations at the network level indirectly affected the transaction efficiency through network protection of the external link systems at the level of medical institutions. Conclusions This study found that big data technology, big data itself, and policy at the network and organizational levels interact with, and influence, each other to form the transaction efficiency of medical services. On the basis of the theory of neoclassical economics, the study highlighted the implications of big data resources for the emergence and development of endogenous MCNs.

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Section: Transaction Efficiency Of Medical Servicesmentioning

confidence: 99%

Mechanism of Impact of Big Data Resources on Medical Collaborative Networks From the Perspective of Transaction Efficiency of Medical Services: Survey Study

2022

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“…Children's rights and interests may be furthered through sophisticated analyses of data across domains -from clinical to environmental to educational. In the health context, big data in the form of -omics data has begun to show success in the stratification of sick children (Ding et al, 2019). The Committee on the Rights of the Child has encouraged States to conduct research with children "to learn about their health challenges, developmental needs, and expectations as a contribution to the design of effective interventions and health programs" (United Nations Committee on the Rights of the Child, 2013a).…”

Section: Children's Data: Opportunities and Challengesmentioning

confidence: 99%

Coming Out to Play: Privacy, Data Protection, Children’s Health, and COVID-19 Research

Beauvais

Knoppers

2021

Front. Genet.

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The COVID-19 pandemic has underscored the need for new ways of thinking about data protection. This is especially so in the case of health research with children. The responsible use of children’s data plays a key role in promoting children’s well-being and securing their right to health and to privacy. In this article, we contend that a contextual approach that appropriately balances children’s legal and moral rights and interests is needed when thinking about data protection issues with children. We examine three issues in health research through a child-focused lens: consent to data processing, data retention, and data protection impact assessments. We show that these issues present distinctive concerns for children and that the General Data Protection Regulation provides few bright-line rules. We contend that there is an opportunity for creative approaches to children’s data protection when child-specific principles, such as the best interests of the child and the child’s right to be heard, are put into dialogue with the structure and logic of data protection law.

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“…They provide information query and connects medical services through Internet and big data technology, such as Baiyulan remote consultation platform, district-level imaging and inspection center, and various Internet hospitals, such as Chunyu Doctor, Hao Doctor, Pingan good Doctor, Dingxiang and Weiyi etc. This kind of medical transaction service platform can more easily obtain or even integrate all kinds of medical resources, and facilitate patients' medical opportunities [13,26]. There is another kind of platform, such as Changankang wechat platform for rectal cancer patients, which helps patients integrate all kinds of medical resources and design personalized treatment according to different course of disease.…”

Section: Scope Of Division Of Labormentioning

confidence: 99%

“…The establishment and operation of medical transaction service platform needs the investment of technology, labor and capital. These investments constitute a fixed learning cost for medical transaction services, which has been changed dramatically with the development of the Internet and big data technologies [13]. The fixed learning cost of medical transaction services will affect decision-maker division of labor and the level of specialization within medical transaction service.…”

Section: Role Generation Model: Specification Of the Unified Decision Modelmentioning

confidence: 99%

“…The existing empirical studies have found that MCPs may be affected by factors at individual, organizational and system levels, such as disease characteristics, collaborators' knowledge and experience [6][7][8][9][10], mutual trust [11,12], participation motivation [6], public infrastructure [2], IT infrastructure [13][14][15], medical policies, investment of public funds [2], remuneration methods [7] etc. However, there are various and contradictory conclusions about the influence of these factors on MCPs [6].…”

Section: Introductionmentioning

confidence: 99%

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Exploring Formation Mechanism of Medical Collaborative Practices in Multi-level Market from an Infra-marginal Perspective

Wang¹

2021

Preprint

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Purpose: The purpose of this paper to explore a set of methods to formally display and analyze the nature and laws of the emergence and evolution of all kinds of medical collaborative practices (MCPs) within multi-level market.Methodology: Based on Yang’s neoclassical economics, the paper argues that the reason for the origin of MCPs with multi-level market is the division of labor for different medical services and medical transaction service. From an infra-marginal perspective, the study processes are (1) to build a role generation model for collaborators. (2) to determine the role boundaries of collaborators by calculating the corner solution, and formalize the entanglement between role identities and specific MCPs through the corner equilibrium analysis. (3) to evaluate the stability of different forms of MCPs by general equilibrium analysis, and analyze their possible evolutionary paths of various MCPs by sensitivity analysis of the stability conditions of different structures. Results: (1) A role generation model of "producer-consumer", which is composed of three functions and involves three economic parameters, reflects the coexistence of division and cooperation, and integrate the influencing factors with process views. (2) The paper extracts eight role models and six structures of MCPs with corner equilibrium, and further formalizes the different ways of legalization of specific role identities in different MCPs in no market, or single-level or multi-level market. (3) Three structures (structure A with no market, structure CN with single-level market and structure CC with two-level market) have global equilibrium in different parameter spaces. With the increase of learning cost of medical services and medical transaction services, there are two structural evolution paths more likely to occur: " A - >CN -> CC " and "CN -> CC ->A".Conclusions: The research will provide theoretical basis for the government to select, formulate and implement the relevant policies of specific MCP, and help IT companies better develop internet medical service transaction platforms.

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Big data and stratified medicine: what does it mean for children?

Cited by 12 publications

References 37 publications

Mechanism of Impact of Big Data Resources on Medical Collaborative Networks From the Perspective of Transaction Efficiency of Medical Services: Survey Study

Mechanism of Impact of Big Data Resources on Medical Collaborative Networks From the Perspective of Transaction Efficiency of Medical Services: Survey Study

Coming Out to Play: Privacy, Data Protection, Children’s Health, and COVID-19 Research

Exploring Formation Mechanism of Medical Collaborative Practices in Multi-level Market from an Infra-marginal Perspective

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