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Toward Interoperable Digital Medication Records on Fast Healthcare Interoperability Resources: Development and Technical Validation of a Minimal Core Dataset

Toward Interoperable Digital Medication Records on Fast Healthcare Interoperability Resources: Development and Technical Validation of a Minimal Core Dataset

For global standardization and interoperability of medication data, the International Organization for Standardization (ISO) has been developing the Identification of Medicinal Products (IDMP) since 2012, providing a suite of 5 standards (ISO 11615, ISO 11616, ISO 11238, ISO 11239, and ISO 11240) for identifying and exchanging the information of each medicinal product for human use throughout the world [18-23].

Eduardo Salgado-Baez, Raphael Heidepriem, Renate Delucchi Danhier, Eugenia Rinaldi, Vishnu Ravi, Akira-Sebastian Poncette, Iris Dahlhaus, Daniel Fürstenau, Felix Balzer, Sylvia Thun, Julian Sass

JMIR Med Inform 2025;13:e64099

Digital Health Innovations to Catalyze the Transition to Value-Based Health Care

Digital Health Innovations to Catalyze the Transition to Value-Based Health Care

One major barrier to integrating PROs into clinical practice is the lack of standardization of how PROs are measured [40]. Measurement of PROs can range from unstructured patient diaries to structured clinically validated questionnaires, such as PROMs. More sophisticated questions, such as when to disseminate PROMs to patients, how often to send these PROMs, and what data analysis should be done with the data, are usually raised once the appropriate PROMs are identified for a target patient group.

Lan Zhang, Christopher Bullen, Jinsong Chen

JMIR Med Inform 2025;13:e57385

A Generic Transformation Approach for Complex Laboratory Data Using the Fast Healthcare Interoperability Resources Mapping Language: Method Development and Implementation

A Generic Transformation Approach for Complex Laboratory Data Using the Fast Healthcare Interoperability Resources Mapping Language: Method Development and Implementation

Hence, various studies are focusing on the transformation from HL7 (version 2 ) messages into further target formats, including structural reformation into JSON [23] or standardization into HL7 FHIR [24]. Our approach is based on that of a prior study that evaluated the transformation of Structure Maps into Mirth channels [25]. The results were promising, but it also emerged that the manual definition of Structure Maps became cumbersome and rapidly very complex.

Jesse Kruse, Joshua Wiedekopf, Ann-Kristin Kock-Schoppenhauer, Andrea Essenwanger, Josef Ingenerf, Hannes Ulrich

JMIR Med Inform 2024;12:e57569

Standardizing Corneal Transplantation Records Using openEHR: Case Study

Standardizing Corneal Transplantation Records Using openEHR: Case Study

Despite their widespread use, traditional EHRs are prone to lack of standardization and consistency [12]. As a consequence, inconsistency and fragmentation plague the management and documentation of corneal transplantation records, causing difficulties in accessing and sharing information, increased medical errors, and decreased patient safety.

Diana Ferreira, Cristiana Neto, Francini Hak, António Abelha, Manuel Santos, José Machado

JMIR Med Inform 2024;12:e48407

Development of Automated Triggers in Ambulatory Settings in Brazil: Protocol for a Machine Learning–Based Design Thinking Study

Development of Automated Triggers in Ambulatory Settings in Brazil: Protocol for a Machine Learning–Based Design Thinking Study

In low- and middle-income countries, the burden of poor-quality health care has not been adequately quantified due to data scarcity, lack of standardization, and insufficient research on quality interventions. Moreover, recent estimates suggest that in these countries, between 5.7 and 8.4 million people die annually due to adverse events (AEs), where an incident resulted in harm to a patient [1].

Claire Nierva Herrera, Fernanda Raphael Escobar Gimenes, João Paulo Herrera, Ricardo Cavalli

JMIR Res Protoc 2024;13:e55466

Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study

Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study

While data standardization and harmonization are essential for FAIR compliance, they are not sufficient on their own [6]. Another step involves rendering metadata machine-readable and more findable online, aligning with the objectives of Schema.org, a collaborative project among major search engines such as Google.

David Amadi, Sylvia Kiwuwa-Muyingo, Tathagata Bhattacharjee, Amelia Taylor, Agnes Kiragga, Michael Ochola, Chifundo Kanjala, Arofan Gregory, Keith Tomlin, Jim Todd, Jay Greenfield, INSPIRE INSPIRE Network

Online J Public Health Inform 2024;16:e56237

Semantic Interoperability of Electronic Health Records: Systematic Review of Alternative Approaches for Enhancing Patient Information Availability

Semantic Interoperability of Electronic Health Records: Systematic Review of Alternative Approaches for Enhancing Patient Information Availability

Since there are different types of health information, such as data from EHRs, patient registries, genomics data, and data from health applications, the development of international data standardization, common guidelines, and recommendations are needed [4-8]. Without applying appropriate semantic standards, such as domain-relevant terminologies, interoperability will be limited. This may diminish the availability and potential value of data.

Sari Palojoki, Lasse Lehtonen, Riikka Vuokko

JMIR Med Inform 2024;12:e53535

Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study

Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study

Unlike other EHR data, nursing documentation lacks standardization than other data such as diagnoses, laboratory, and medication data. The common data model (CDM) of the Observational Medical Outcome Partnership (OMOP) is designed to standardize the structure and content of observational data from multiple sites for efficient analyses that can produce reliable evidence; it is rarely used to standardize nursing documentation.

Sumi Sung, Youlim Kim, Su Hwan Kim, Hyesil Jung

J Med Internet Res 2024;26:e53343

Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study

Text Dialogue Analysis for Primary Screening of Mild Cognitive Impairment: Development and Validation Study

Meanwhile, standardization of prompts by physicians would improve the performance of the model. It should be noted, however, that the use of Chat GPT must follow medical ethics and cannot replace doctors in diagnosis. Through the study, we hope to screen people who may have MCI and help them get to the hospital for diagnosis, so that early detection, early diagnosis, and early treatment can be achieved, delaying or even preventing the progression of MCI to AD.

Changyu Wang, Siru Liu, Aiqing Li, Jialin Liu

J Med Internet Res 2023;25:e51501