A Data Model for Teleconsultation in Managing High-Risk Pregnancies: Design and Preliminary Evaluation
| Autor: | Deldar, Kolsoum, Tara, Fatemeh, Bahaadinbeigy, Kambiz, Khajedaluee, Mohammad, Tara, Mahmood |
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| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
020205 medical informatics clinical archetype Process (engineering) Computer science media_common.quotation_subject Delphi method Health Informatics 02 engineering and technology 03 medical and health sciences 0302 clinical medicine Health Information Management 0202 electrical engineering electronic engineering information engineering medicine Medical physics Quality (business) remote consultation 030212 general & internal medicine Archetype media_common clinical decision-making Original Paper Remote Consultation Data model Data quality pregnancy Qualitative research |
| Zdroj: | JMIR Medical Informatics |
| ISSN: | 2291-9694 |
| DOI: | 10.2196/medinform.8393 |
| Popis: | Background: Teleconsultation is a guarantor for virtual supervision of clinical professors on clinical decisions made by medical residents in teaching hospitals. Type, format, volume, and quality of exchanged information have a great influence on the quality of remote clinical decisions or tele-decisions. Thus, it is necessary to develop a reliable and standard model for these clinical relationships. Objective: The goal of this study was to design and evaluate a data model for teleconsultation in the management of high-risk pregnancies. Methods: This study was implemented in three phases. In the first phase, a systematic review, a qualitative study, and a Delphi approach were done in selected teaching hospitals. Systematic extraction and localization of diagnostic items to develop the tele-decision clinical archetypes were performed as the second phase. Finally, the developed model was evaluated using predefined consultation scenarios. Results: Our review study has shown that present medical consultations have no specific structure or template for patient information exchange. Furthermore, there are many challenges in the remote medical decision-making process, and some of them are related to the lack of the mentioned structure. The evaluation phase of our research has shown that data quality (P |
| Databáze: | OpenAIRE |
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