scholarly journals A Design of Medical Information Sharing Model Based on Blockchain Technology

Author(s):  
Hao Jiang ◽  
Hao Peng ◽  
Songyi Dian
2019 ◽  
Vol 9 (40) ◽  
pp. 20-27 ◽  
Author(s):  
Sung-Hwa Han ◽  
Ju-Hyung Kim ◽  
Won-Seok Song ◽  
Gwang-Yong Gim

2020 ◽  
Author(s):  
Julia Ivanova ◽  
Tianyu Tang ◽  
Nassim Idouraine ◽  
Anite Murcko ◽  
Adela Grando ◽  
...  

BACKGROUND Granular information sharing studies rarely use actual patient electronic health record (EHR) information. In a previous study, behavioral health patients categorized their own EHR data into sensitive categories (e.g. mental health) and chose which care team members (e.g. pharmacists) should have access to those records. In this study, behavioral health professionals are provided access to the outcomes of a previous patient study to better understand the perspectives of health professionals on patient-controlled granular information sharing. OBJECTIVE Assess behavioral health professionals’: (1) perspectives on understanding and opinions about granular information sharing; (2) accuracy in assessing redacted medical information; (3) reactions to patient rationale for health data categorization, assignment of sensitivity, and sharing choices; and (4) recommendations on how to improve the process of granular health information sharing. METHODS Four two-hour focus groups and a pre- and post-survey were conducted at two integrated health facilities. During the focus groups, outcomes from a previous study on patients’ medical record sharing choices were shared. Thematic analysis and descriptive statistical analyses were conducted. RESULTS Twenty-eight professionals were initially unaware of or provided incorrect definitions of granular information sharing (56.0%). After having access to outcomes from a previous patient study, professionals increased their mixed perspectives (21.4% to 37.1%) on granular information sharing. A majority (81.3%) identified that key medical data had been redacted from the study case. Many (66.1%) stated they did not understand patient rationale for categorization or medical sharing preferences. Finally, participants recommended that a variety of educational approaches be incorporated to inform patients about granular information and health record sharing processes. CONCLUSIONS This study provides detailed insights from behavioral health professionals on patient-controlled granular information sharing. Health professionals accurately identified information gaps resulting from patient-directed data redaction, improved in their overall concept comprehension, underscored the fine line between patient safety and patient rights, and expressed a commitment to help patients appreciate the risks and benefits associated with granular information sharing. Outcomes will inform the development, deployment and evaluation of an electronic consent tool for granular health data sharing.


2021 ◽  
Vol 18 (2) ◽  
pp. 110-135
Author(s):  
Xiang Yu ◽  
Zhangxiang Shu ◽  
Qiang Li ◽  
Jun Huang

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bo Sun ◽  
Fei Zhang ◽  
Jing Li ◽  
Yicheng Yang ◽  
Xiaolin Diao ◽  
...  

Abstract Background With the development and application of medical information system, semantic interoperability is essential for accurate and advanced health-related computing and electronic health record (EHR) information sharing. The openEHR approach can improve semantic interoperability. One key improvement of openEHR is that it allows for the use of existing archetypes. The crucial problem is how to improve the precision and resolve ambiguity in the archetype retrieval. Method Based on the query expansion technology and Word2Vec model in Nature Language Processing (NLP), we propose to find synonyms as substitutes for original search terms in archetype retrieval. Test sets in different medical professional level are used to verify the feasibility. Result Applying the approach to each original search term (n = 120) in test sets, a total of 69,348 substitutes were constructed. Precision at 5 (P@5) was improved by 0.767, on average. For the best result, the P@5 was up to 0.975. Conclusions We introduce a novel approach that using NLP technology and corpus to find synonyms as substitutes for original search terms. Compared to simply mapping the element contained in openEHR to an external dictionary, this approach could greatly improve precision and resolve ambiguity in retrieval tasks. This is helpful to promote the application of openEHR and advance EHR information sharing.


2015 ◽  
Vol 9 (1) ◽  
pp. 256-261 ◽  
Author(s):  
Aiyu Hao ◽  
Ling Wang

At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices lack mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical devices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop toward mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspection with the terminal device in a timely manner.


Author(s):  
Carol Cortés ◽  
Alejandro Guzmán ◽  
Camilo Andrés Rincón-González ◽  
Catherine Torres-Casas ◽  
Camilo Mejía-Moncayo

2021 ◽  
Vol 15 (1) ◽  
pp. 81-88
Author(s):  
Gabriel Hanna ◽  
Brian D. Batko ◽  
James Potter ◽  
Joseph Ippolito ◽  
Folorunsho Edobor-Osula

Purpose Clubfoot is the most common congenital foot deformity in children. Caregivers often seek medical information on the internet. The aim of the study was to characterize how social media is used by caregivers to access medical information. Methods A search was performed on Facebook, Twitter and YouTube platforms. Information was quantitatively assessed. Comments were qualitatively assessed, and the Kruskal-Wallis test was used to study thematic comment distribution. Results In total, 58 Facebook groups and pages, 109 YouTube accounts and ten Twitter accounts related to clubfoot were discovered from 2007 to 2019. Facebook groups and pages had a collective 56 123 members and 80 544 total likes, respectively. YouTube had a collective 3 280 454 views, with 54 969 total comments throughout the accounts. Comment themes most commonly included sharing information and advice (38.7%), appreciation and success stories (12.8%), emotional support (12.7%) and social media as a second opinion (11.9%). Facebook groups contained a significantly higher number of comments related to ‘social media as a second opinion’ compared with Facebook pages (p = 0.001), Twitter (p = 0.016) and YouTube (p < 0.0001) while YouTube contained a significantly lower number of comments related to ‘sharing information’ compared with Facebook groups, pages and Twitter (p < 0.0001). Conclusion Social media continues to be a growing tool for information sharing and the findings of this study highlight the importance placed by caregivers on the advice of their peers. The online presence of caregivers may represent an opportunity for orthopaedic surgeons to communicate with patients and help them make informed decisions. Level of evidence IV


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