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.

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 Semantics Discovery via Human Computation Games

Semantic Web ◽  
2013 ◽  
pp. 286-308 ◽  
Author(s):  
Jakub Šimko ◽  
Michal Tvarožek ◽  
Mária Bieliková
Keyword(s):  
Computer Games ◽  
Web Search ◽  
Human Computation ◽  
Search Term ◽  
Search Game ◽  
Search Terms ◽  
Qualitative Feedback ◽  
Novel Approach ◽  
Series Of Experiments ◽  
Relationship Network

The effective acquisition of (semantic) metadata is crucial for many present day applications. Games with a purpose address this issue by transforming computational problems into computer games. The authors present a novel approach to metadata acquisition via Little Search Game (LSG) – a competitive web search game, whose purpose is the creation of a term relationship network. From a player perspective, the goal is to reduce the number of search results returned for a given search term by adding negative search terms to a query. The authors describe specific aspects of the game’s design, including player motivation and anti-cheating issues. The authors have performed a series of experiments with Little Search Game, acquired real-world player input, gathered qualitative feedback from the players, constructed and evaluated term relationship network from the game logs and examined the types of created relationships.

scholarly journals Semantics Discovery via Human Computation Games

2011 ◽  
Vol 7 (3) ◽  
pp. 23-45 ◽  
Author(s):  
Jakub Šimko ◽  
Michal Tvarožek ◽  
Mária Bieliková
Keyword(s):  
Computer Games ◽  
Web Search ◽  
Human Computation ◽  
Search Term ◽  
Search Game ◽  
Search Terms ◽  
Qualitative Feedback ◽  
Novel Approach ◽  
Series Of Experiments ◽  
Relationship Network

The effective acquisition of (semantic) metadata is crucial for many present day applications. Games with a purpose address this issue by transforming computational problems into computer games. The authors present a novel approach to metadata acquisition via Little Search Game (LSG) – a competitive web search game, whose purpose is the creation of a term relationship network. From a player perspective, the goal is to reduce the number of search results returned for a given search term by adding negative search terms to a query. The authors describe specific aspects of the game’s design, including player motivation and anti-cheating issues. The authors have performed a series of experiments with Little Search Game, acquired real-world player input, gathered qualitative feedback from the players, constructed and evaluated term relationship network from the game logs and examined the types of created relationships.

Current Status of a Medical Information System

1970 ◽  
Vol 09 (03) ◽  
pp. 149-160 ◽  
Author(s):  
E. Van Brunt ◽  
L. S. Davis ◽  
J. F. Terdiman ◽  
S. Singer ◽  
E. Besag ◽  
...  
Keyword(s):  
Information System ◽  
Medical Records ◽  
Medical Information ◽  
Clinical Laboratory ◽  
Development Program ◽  
Medical Data ◽  
Direct Access ◽  
Medical Information System ◽  
Current Status ◽  
Central System

A pilot medical information system is being implemented and currently is providing services for limited categories of patient data. In one year, physicians’ diagnoses for 500,000 office visits, 300,000 drug prescriptions for outpatients, one million clinical laboratory tests, and 60,000 multiphasic screening examinations are being stored in and retrieved from integrated, direct access, patient computer medical records.This medical information system is a part of a long-term research and development program. Its major objective is the development of a multifacility computer-based system which will support eventually the medical data requirements of a population of one million persons and one thousand physicians. The strategy employed provides for modular development. The central system, the computer-stored medical records which are therein maintained, and a satellite pilot medical data system in one medical facility are described.

Coordinating Medical Literature with Patient Care

1977 ◽  
Vol 16 (04) ◽  
pp. 234-240 ◽  
Author(s):  
Joann Gustafson ◽  
J. Nelson ◽  
Ann Buller
Keyword(s):  
Health Care ◽  
Medical Staff ◽  
Medical Information ◽  
Medical Literature ◽  
Medical Information System ◽  
Staff Members ◽  
Information Displays ◽  
Medical Displays ◽  
Computerized Medical Information ◽  
The Given

The contribution of a special library project to a computerized problem-oriented medical information system (PROMIS) is discussed. Medical information displays developed by the PROMIS medical staff are accessible to the health care provider via touch screen cathode terminals. Under PROMIS, members of the library project developed two information services, one concerned with the initial building of the medical displays and the other with the updating of this information. Information from 88 medical journals is disseminated to physicians involved in the building of the medical displays. Articles meeting predetermined selection criteria are abstracted and the abstracts are made available by direct selective dissemination or via a problem-oriented abstract file. The updating service involves comparing the information contained in the selected articles with the computerized medical displays on the given topic. Discrepancies are brought to the attention of PROMIS medical staff members who evaluate the information and make appropriate changes in the displays. Thus a feedback loop is maintained which assures the completeness, accuracy, and currency of the computerized medical information. The development of this library project and its interface with the computerized health care system thus attempts to deal with the problems in the generation, validation, dissemination, and application of medical literature.

Software for medical information system for audit and analysis of patients with gastrointestinal bleedings

2015 ◽  
Vol 11 (12) ◽  
pp. 73-79
Author(s):  
I.D. Duzhyi ◽  
◽  
V.V. Gorokh ◽  
O.V. Trubilko ◽  
S.V. Kharchenko ◽  
...  
Keyword(s):  
Information System ◽  
Medical Information ◽  
Medical Information System

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.

Differential Image Compression for Telemedicine: A Novel Approach

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Adnan Alam Khan ◽  
Dr. Asadullah Shah ◽  
Saghir Muhammad
Keyword(s):  
Image Compression ◽  
Medical Information ◽  
Emerging Technologies ◽  
Medical Images ◽  
Image Transmission ◽  
Medical Doctors ◽  
Medical Sciences ◽  
Compression Method ◽  
Paramedical Staff ◽  
Novel Approach

Telemedicine is one of the most emerging technologies of applied medical sciences. Medical information related to patients is transmitted and stored for references and consultations. Medical images occupy huge space; in order to transmit these images may delay the process of image transmission in critical times. Image compression techniques provide a better solution to combat bandwidth scarcity problems, and transmit same image in a much lower bandwidth requirements, more faster and at the same time maintain quality. In this paper a differential image compression method is developed in which medical images are taken from a wounded patient and are compressed to reduce the bit rate of these images. Results indicate that on average 25% compression on images is achieved with 3.5 MOS taken from medical doctors and other paramedical staff the ultimately user of the images.

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