Information-sharing in health and social care: Lessons from a socio-technical initiative

Shah, Tejal; Wilson, Louise; Booth, Nick; Butters, O. W.; McDonald, Joe; Common, Kathryn; Martin, Mike; Minion, Joel; Burton, Paul R.; Murtagh, Madeleine J.

doi:10.1080/09540962.2019.1583891

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…Data is necessary for providing ethical, lawful, safe, and efficient direct care, service planning and improvement, and research [35]. On this study have created a system that enables for safe, regulated electronic exchange of a person’s health information between systems and healthcare organizations in order to improve healthcare quality and efficiency.…”

Section: Resultsmentioning

confidence: 99%

“…Data sharing is a crucial part of improving the health-care system [34] and it is very important in a post-pandemic scenario, as shown by study [33], where this data can be used to assist families in locating the graves of family members who died during the pandemic and are the finest tactics in outbreak response. Data is necessary for providing ethical, lawful, safe, and efficient direct care, service planning and improvement, and research [35]. On this study have created a system that enables for safe, regulated electronic exchange of a person's health information between systems and healthcare organizations in order to improve healthcare quality and efficiency.…”

Section: Goals and Outcomes Analysismentioning

confidence: 99%

“…As mentioned before, the classification of the studies regarding the outcome is not mutually exclusive, given that these were attributed due to presence/absence in the study. [10], [11], [13], [14], [17]-[20] Electronic data interchange [10], [13], [15] Data Analytics [21]-[29] Machine Learning [13], [20], [21], [25], [27], [30]-[32] Data Management [13], [18], [21], [33]- [35] Data Science [21], [30], [36], [37] Data Sharing [11], [12], [15]- [17], [19], [20], [22], [23], [27]- [33], [35]- [49]…”

Section: Study Characteristicsmentioning

confidence: 99%

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Information Sharing through Digital Service Agreement

Elvas

Ferreira

Helgheim

2023

Preprint

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Data sharing and services reuse in the health sector is a significant problem due to privacy, and security issues. The European Commission has classified health data as a unique resource owing to the ability to do both prospective and retrospective research at a low cost. Similarly, the OECD encourages member nations to create and implement health data governance systems that protect individual privacy while allowing data sharing. This paper aimed to describe a conceptual framework to allow medical information sharing among health entities in a secure environment. A framework of shared Artificial Intelligent services is proposed to provide a safe environment for information sharing based on digital services agreements (DSA) and a shared services infrastructure for artificial intelligence (AI) and knowledge creation: From the collaborative platform with privacy, health data can be shared, and shared analytics services will allow an easy and fast application of AI algorithms. The framework allows data prosumers (producers/consumers) to easily express their preferences on sharing their data, which analytics operations can be performed on such data, and by whom the resulting data can be shared, among other relevant aspects. This entails a framework that combines several technologies for expressing and enforcing data-sharing agreements and technologies to perform data analytics operations compliant. Among these technologies, we can mention data-centric policy enforcement mechanisms and data analysis operations directly performed on encrypted data provided by multiple prosumers. The framework is mainly based on an Information Sharing Infrastructure (ISI) and an Information Analysis Infrastructure (IAI) that can be deployed in several ways and on several devices (from cloud to mobile devices).

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Section: Resultsmentioning

confidence: 99%