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Bridging Data Models in Health Care With a Novel Intermediate Query Format for Feasibility Queries: Mixed Methods Study

Bridging Data Models in Health Care With a Novel Intermediate Query Format for Feasibility Queries: Mixed Methods Study

This multifaceted analysis allowed us to infer a set of requirements crucial for developing our query syntax. These requirements were categorized into query expressiveness, interoperability, and accessibility.

Lorenz Rosenau, Julian Gruendner, Alexander Kiel, Thomas Köhler, Bastian Schaffer, Raphael W Majeed

JMIR Med Inform 2024;12:e58541

ChatGPT vs Google for Queries Related to Dementia and Other Cognitive Decline: Comparison of Results

ChatGPT vs Google for Queries Related to Dementia and Other Cognitive Decline: Comparison of Results

Web search engines, such as Google and Bing, continuously collect (crawl) content (documents) from the web, store it locally, and index it for faster retrieval at query time. When a user submits a query, the search engine uses a ranking algorithm to assign a score to each document and generate a ranked list of results [9].

Vagelis Hristidis, Nicole Ruggiano, Ellen L Brown, Sai Rithesh Reddy Ganta, Selena Stewart

J Med Internet Res 2023;25:e48966

The Architecture of a Feasibility Query Portal for Distributed COVID-19 Fast Healthcare Interoperability Resources (FHIR) Patient Data Repositories: Design and Implementation Study

The Architecture of a Feasibility Query Portal for Distributed COVID-19 Fast Healthcare Interoperability Resources (FHIR) Patient Data Repositories: Design and Implementation Study

Building on the Structured Query and UI specifications, we worked closely with the whole team to define the necessary UI ontology (UI profiles) and a mapping file for query translation, which was to be used during query translation to enrich the basic definition of a criterion of the Structured Query with query language–specific parameters required for query translation.

Julian Gruendner, Noemi Deppenwiese, Michael Folz, Thomas Köhler, Björn Kroll, Hans-Ulrich Prokosch, Lorenz Rosenau, Mathias Rühle, Marc-Anton Scheidl, Christina Schüttler, Brita Sedlmayr, Alexander Twrdik, Alexander Kiel, Raphael W Majeed

JMIR Med Inform 2022;10(5):e36709

Generation of a Fast Healthcare Interoperability Resources (FHIR)-based Ontology for Federated Feasibility Queries in the Context of COVID-19: Feasibility Study

Generation of a Fast Healthcare Interoperability Resources (FHIR)-based Ontology for Federated Feasibility Queries in the Context of COVID-19: Feasibility Study

Furthermore, the query languages (FHIR Search and Clinical Quality Language [CQL]) used at the DICs are universally applicable for arbitrary FHIR data. The highly reusable nature of the infrastructure lends itself well to developing a UI that is use-case-independent. The structure of feasibility queries is consistent—only the use-case-specific query criteria need to be identified. Therefore, for our use case, the data elements within GECCO need to be provided to the user as query criteria.

Lorenz Rosenau, Raphael W Majeed, Josef Ingenerf, Alexander Kiel, Björn Kroll, Thomas Köhler, Hans-Ulrich Prokosch, Julian Gruendner

JMIR Med Inform 2022;10(4):e35789

Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model

Predicting the Number of Suicides in Japan Using Internet Search Queries: Vector Autoregression Time Series Model

As a predictive variable, we used the number of queries associated with “suicide” from the search query log of “Yahoo! JAPAN Search,” one of the major search engines in Japan.

Kazuya Taira, Rikuya Hosokawa, Tomoya Itatani, Sumio Fujita

JMIR Public Health Surveill 2021;7(12):e34016

Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea

Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea

Thus, it could be a useful reference point for researchers who wish to select initial target queries in query-based prediction. In South Korea, there is currently no forecasting system for infectious disease based on search query data [1,9], despite the high availability and use of the Internet in Korea [11].

Hyekyung Woo, Youngtae Cho, Eunyoung Shim, Jong-Koo Lee, Chang-Gun Lee, Seong Hwan Kim

J Med Internet Res 2016;18(7):e177