Development of security functions for a medical information sharing platform

2007 ◽  
Vol 38 (11) ◽  
pp. 49-63
Author(s):  
Shinsaku Kiyomoto ◽  
Toshiaki Tanaka ◽  
Yutaka Miyake ◽  
Yoshinori Mitamura
Keyword(s):  
Information Sharing ◽  
Medical Information

Behavioral Health Professionals’ Perceptions on Outcomes of Patient-Controlled Granular Information Sharing Study: Focus Groups and Survey (Preprint)

2020 ◽  
Author(s):  
Julia Ivanova ◽  
Tianyu Tang ◽  
Nassim Idouraine ◽  
Anite Murcko ◽  
Adela Grando ◽  
...  
Keyword(s):  
Focus Groups ◽  
Information Sharing ◽  
Behavioral Health ◽  
Health Professionals ◽  
Medical Information ◽  
Health Data ◽  
Health Record ◽  
Team Members ◽  
Patient Study ◽  
Actual Patient

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.

scholarly journals Using NLP in openEHR archetypes retrieval to promote interoperability: a feasibility study in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bo Sun ◽  
Fei Zhang ◽  
Jing Li ◽  
Yicheng Yang ◽  
Xiaolin Diao ◽  
...  
Keyword(s):  
Information Sharing ◽  
Language Processing ◽  
Medical Information ◽  
Medical Professional ◽  
Semantic Interoperability ◽  
Medical Information System ◽  
Search Term ◽  
Search Terms ◽  
Novel Approach ◽  
Test Sets

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.

scholarly journals The role of social media in clubfoot: information sharing and social support

2021 ◽  
Vol 15 (1) ◽  
pp. 81-88
Author(s):  
Gabriel Hanna ◽  
Brian D. Batko ◽  
James Potter ◽  
Joseph Ippolito ◽  
Folorunsho Edobor-Osula
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Emotional Support ◽  
Medical Information ◽  
Second Opinion ◽  
Level Of Evidence ◽  
Success Stories ◽  
Congenital Foot Deformity ◽  
Facebook Pages

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

Cloud-Computing-Based Biomedical Information Sharing Business Model

2014 ◽  
Vol 556-562 ◽  
pp. 6199-6202
Author(s):  
Hui Jie Ding ◽  
Chun Jiang Yu ◽  
Shu Huang
Keyword(s):  
Cloud Computing ◽  
Information Sharing ◽  
Medical Information ◽  
System Structure ◽  
Medical Information System ◽  
Distributed Programming ◽  
Medical Computing ◽  
Computing Platform ◽  
Whole Process ◽  
Virtual Platform

The presence of large amounts of Data Island in medical information system seriously hindered the whole process coordination and integration of the health service. To solve above problems, this paper, on the basis of the analysis of characteristics of medical information resources, put forward medical information sharing system based on cloud computing, discussed the medical computing platform and key technology of the system structure and in the technical implementation, on the basis of Hadoop platform and virtual platform Tashi, demonstrates the feasibility of the system by using graphs to cloud computing distributed programming.

scholarly journals The Design of Integrated system for the cloud-based medical Information sharing

2015 ◽  
Vol 4 (2) ◽  
pp. 145-153
Author(s):  
Kwang-Cheol Lee ◽  
Chigon Hwang ◽  
Seong Ro Lee ◽  
Jong-Yong Lee ◽  
Kye-Dong Jung
Keyword(s):  
Information Sharing ◽  
Medical Information ◽  
Integrated System

Construction and Application of Regional Medical Information Sharing System Based on Big Data

2020 ◽  
Vol 11 (3) ◽  
pp. 40-61
Author(s):  
Yuanyuan Zhang
Keyword(s):  
Big Data ◽  
Information Sharing ◽  
Medical Service ◽  
Medical Information ◽  
Rapid Development ◽  
Information Service ◽  
Service Innovation ◽  
Regional Medical ◽  
Network Application ◽  
Big Data Technology

With the popularization of network application and the rapid development of electronic science, big data technology is constantly maturing and widely used in various fields. For the continuous development of regional medical informatization in China, based on the concept of big data technology and regional medical information data sharing, this paper adopts big data to improve the quality and efficiency of medical information service so as to realize the reasonable distribution and sharing of medical resources and provide references for medical service innovation in China.

A peer-to-peer-based medical information sharing system

2006 ◽  
Author(s):  
Y. Mitamura ◽  
A. Yamamoto ◽  
H. Hayashi ◽  
T. Namioka ◽  
Y. Tsuduki ◽  
...  
Keyword(s):  
Information Sharing ◽  
Medical Information ◽  
Peer To Peer

Social Media and the COVID-19 Pandemic: A Qualitative Analysis of a Physician Group’s WhatsApp Chat (Preprint)

2021 ◽  
Author(s):  
Sawsan Abdel-Razig ◽  
Pascale Anglade ◽  
Halah Ibrahim
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
United Arab Emirates ◽  
Information Dissemination ◽  
Medical Information ◽  
Qualitative Content Analysis ◽  
Community Building ◽  
Effective Means ◽  
Significant Proportion ◽  
Social Media Platforms

BACKGROUND Social media has emerged as an effective means of information sharing and community building amongst health professionals. The utility of these platforms is likely heightened during times of health system crises and global uncertainty. Studies have demonstrated that physicians’ social media platforms serve to bridge the gap of information between on-the-ground experiences of health care workers and emerging knowledge. OBJECTIVE The primary aim of this study was to characterize the use of a physician WhatsApp group chat during the early months of the COVID-19 pandemic. METHODS Through the lens of the Social Network Theory, the authors performed a qualitative content analysis of posts of a women physician WhatsApp group located in the United Arab Emirates between February 1, 2020 and May 31, 2020 during the initial surge of COVID-19 cases. RESULTS The were 6101 posts during the study period, reflecting a 2.6-fold increase in platform utilization when compared with the year prior. Eight themes and nine subthemes are described. The top 3 uses of the platform were requests for information, member support/promotion, and information sharing (46%, 16%, and 15% respectively). A significant proportion of posts were related to COVID-19 (43.5%) with the most popular theme being requests for logistical (non-medical) information. Among COVID-19 related medical information, it is notable that two thirds of these posts (571 of 868) were from public, mass media or unverified sources. CONCLUSIONS Health crises can potentiate the use of social media platforms amongst physicians, reflecting their tendency to turn to these platforms for information sharing and community building purposes. However, important questions remain regarding the accuracy and credibility of the information shared. These findings suggest that training of physicians in social media practices and information dissemination may be needed. CLINICALTRIAL Not applicable

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