ArticleJournal of medical systems2013
Design of a Personal Health Record and Health Knowledge Sharing System using IHE-XDS and OWL.
Article in Journal of medical systems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Interventions to increase patient portal use in vulnerable populations: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Combining Ontologies and Open Standards to Derive a Middle Layer Information Model for Interoperability of Personal and Electronic Health Records.Journal of medical systems · 2017Article
- Implementation of a Big Data Accessing and Processing Platform for Medical Records in Cloud.Journal of medical systems · 2017Article
- Image De-Identification Methods for Clinical Research in the XDS Environment.Journal of medical systems · 2016Article
- A Framework for Evaluating the Software Product Quality of Pregnancy Monitoring Mobile Personal Health Records.Journal of medical systems · 2016Article
- Personal Health Records: Beneficial or Burdensome for Patients and Healthcare Providers?Perspectives in health information managemen · 2016Article
- Metadata from data: identifying holidays from anesthesia data.Journal of medical systems · 2015Article
- Free Web-based personal health records: an analysis of functionality.Journal of medical systems · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Personal Health Record systems (PHRs) provide opportunities for patients to access their own PHR. However, PHRs are teeming with medical terminologies, such as disease and symptom names, etc. Patients need readily understandable and useful health knowledge in addition to their records in order to enhance their self-care ability. This study describes a Personal Health Record and Health Knowledge Sharing System (PHR&HKS) whereby users not only can maintain and import their PHR, but also can collate useful health Web resources that are related to their personal diseases. Furthermore, they can share the collated Web resources with any user with the same diseases and vice versa. To fulfill these objectives, IHE Cross-Enterprise Document Sharing (XDS) architecture was adopted to share and integrate the PHR. A registry ontology, consisting of part of the XDS document metadata attributes, the ICD-9-CM code, and part of the Dublin Core Metadata Element Set (DCMES), was created to enhance the health knowledge collating and sharing functions. The system was then tested and evaluated by 30 users. Among these individuals, 24 (81 %) held positive views on the ease of use and usefulness of the system while the remainder, who held either neutral (14 %) or negative (5 %) attitudes, were identified as individuals who were somewhat unwilling to maintain any PHR or share any information with others.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.