Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis

Moreno-Conde, Alberto; Moner, David; Cruz, Wellington Dimas da; Santos, Marcelo Rodrigues dos; Maldonado, José Alberto; Robles, Montserrat; Kalra, Dipak

doi:10.1093/jamia/ocv008

Cited by 65 publications

(65 citation statements)

References 35 publications

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“…Our study indicates that the electronic application of the STOPP/START–2 criteria is feasible, but that further specification of clinical problems and medication groups in the light of computerization is needed . Large scale application on big data will need substantial progress in semantic interoperability of clinical data in heterogeneous electronic health records .…”

Section: Discussionmentioning

confidence: 96%

Too many, too few, or too unsafe? Impact of inappropriate prescribing on mortality, and hospitalization in a cohort of community‐dwelling oldest old

Wauters

Elseviers

Vaes

et al. 2016

Brit J Clinical Pharma

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Section: Discussionmentioning

confidence: 96%

Too many, too few, or too unsafe? Impact of inappropriate prescribing on mortality, and hospitalization in a cohort of community‐dwelling oldest old

Wauters

Elseviers

Vaes

et al. 2016

Brit J Clinical Pharma

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“…Nowadays, SIOp is a broadly used paradigm to approach the problem of sharing data from heterogeneous data sources [16]. System interoperability has been identified as a key challenge, critical to success.…”

Section: Semantic Interoperability Frameworkmentioning

confidence: 99%

Semantic interoperability challenges to process large amount of data perspectives in forensic and legal medicine

Jaulent

Leprovost

Charlet

et al. 2018

Journal of Forensic and Legal Medicine

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This article is a position paper dealing with semantic interoperability challenges. It addresses the Variety and Veracity dimensions when integrating, sharing and reusing large amount of heterogeneous data for data analysis and decision making applications in the healthcare domain. Many issues are raised by the necessity to conform Big Data to interoperability standards. We discuss how semantics can contribute to the improvement of information sharing and address the problem of data mediation with domain ontologies. We then introduce the main steps for building domain ontologies as they could be implemented in the context of Forensic and Legal medicine. We conclude with a particular emphasis on the current limitations in standardisation and the importance of knowledge formalization.

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“…However, to collect these data in a meaningful manner, these data must have the same structure, use interoperable terminologies and be documented using a detailed clinical model (DCM) [15,16]. DCMs provide detailed specifications of medical concepts in a given context and specify precisely the terminology to be used in terms of technical standards, reference models and platforms [17,18]. They define all structured elements and attributes of a concept, including their relationships to the root concept, their data types and the code lists which can be used.…”

Section: Data Structure and Semantic Interoperabilitymentioning

confidence: 99%

Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation (Preprint)

Delvaux¹,

Aertgeerts²,

Bussel³

et al. 2018

Preprint

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BACKGROUND Health data collected during routine care have important potential for reuse for other purposes, especially as part of a learning health system to advance the quality of care. Many sources of bias have been identified through the lifecycle of health data that could compromise the scientific integrity of these data. New data protection legislation requires research facilities to improve safety measures and, thus, ensure privacy. OBJECTIVE This study aims to address the question on how health data can be transferred from various sources and using multiple systems to a centralized platform, called Healthdata.be, while ensuring the accuracy, validity, safety, and privacy. In addition, the study demonstrates how these processes can be used in various research designs relevant for learning health systems. METHODS The Healthdata.be platform urges uniformity of the data registration at the primary source through the use of detailed clinical models. Data retrieval and transfer are organized through end-to-end encrypted electronic health channels, and data are encoded using token keys. In addition, patient identifiers are pseudonymized so that health data from the same patient collected across various sources can still be linked without compromising the deidentification. RESULTS The Healthdata.be platform currently collects data for >150 clinical registries in Belgium. We demonstrated how the data collection for the Belgian primary care morbidity register INTEGO is organized and how the Healthdata.be platform can be used for a cluster randomized trial. CONCLUSIONS Collecting health data in various sources and linking these data to a single patient is a promising feature that can potentially address important concerns on the validity and quality of health data. Safe methods of data transfer without compromising privacy are capable of transporting these data from the primary data provider or clinician to a research facility. More research is required to demonstrate that these methods improve the quality of data collection, allowing researchers to rely on electronic health records as a valid source for scientific data.

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Clinical information modeling processes for semantic interoperability of electronic health records: systematic review and inductive analysis

Abstract: Independently of implementation technologies and standards, it is possible to find common patterns in methods for developing CIMs, suggesting the viability of defining a unified good practice methodology to be used by any clinical information modeler.

Cited by 65 publications

References 35 publications

Too many, too few, or too unsafe? Impact of inappropriate prescribing on mortality, and hospitalization in a cohort of community‐dwelling oldest old

Too many, too few, or too unsafe? Impact of inappropriate prescribing on mortality, and hospitalization in a cohort of community‐dwelling oldest old

Semantic interoperability challenges to process large amount of data perspectives in forensic and legal medicine

Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation (Preprint)

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