scholarly journals Extracting medical information from narrative patient records: the case of medication-related information

2010 ◽  
Vol 17 (5) ◽  
pp. 555-558 ◽  
Author(s):  
Louise Deléger ◽  
Cyril Grouin ◽  
Pierre Zweigenbaum
Keyword(s):  
Medical Information ◽  
Patient Records ◽  
Related Information

Clinical Judgment Revisited

1999 ◽  
Vol 38 (04/05) ◽  
pp. 279-286 ◽  
Author(s):  
L. L. Weed
Keyword(s):  
Decision Making ◽  
Medical Practice ◽  
Clinical Judgment ◽  
Medical Information ◽  
Patient Records ◽  
Practice Of Medicine ◽  
The Way

AbstractIt is widely recognised that accessing and processing medical information in libraries and patient records is a burden beyond the capacities of the physician’s unaided mind in the conditions of medical practice. Physicians are quite capable of tremendous intellectual feats but cannot possibly do it all. The way ahead requires the development of a framework in which the brilliant pieces of understanding are routinely assembled into a working unit of social machinery that is coherent and as error free as possible – a challenge in which we ourselves are among the working parts to be organized and brought under control.Such a framework of intellectual rigor and discipline in the practice of medicine can only be achieved if knowledge is embedded in tools; the system requiring the routine use of those tools in all decision making by both providers and patients.

Abstract 249: Online Health Information for Myocardial Infarction: Trusted Source or Fake News?

2020 ◽  
Vol 13 (Suppl_1) ◽  
Author(s):  
Vishak Kumar ◽  
Mohammed Abualenain ◽  
Andrew D Choi
Keyword(s):  
Myocardial Infarction ◽  
Health Information ◽  
Grade Level ◽  
Medical Information ◽  
Search Term ◽  
Total Quality ◽  
Related Information ◽  
Health Related ◽  
Mozilla Firefox ◽  
Assess Quality

Objective: As the internet is a leading destination for health information for patients, there is a need for this information to be accurate and easy to understand. In this study, we assessed the quality and readability of online health related information for myocardial infarction (MI) directed towards patients. Methods: Websites were collected from 3 search engines (Google, Yahoo! and Bing) using the search term “Heart Attack” on a newly installed Mozilla Firefox browser. The first 30 websites from each engine were selected and those belonging to advertisements, new articles and physician oriented sites were excluded. The resulting sites were assessed for quality using the DISCERN instrument via 2 physician investigators knowledgeable in MI and blinded to each other’s results; following this, the results were discussed amidst the team to agree on a coalesced score for each website. Health On the Net (HONcode) was also used as an added measure to assess quality. Readability was assessed using the Flesch-Kincaid Readability Ease (FLRE) and the Flesch-Kincaid Grade level (FLGL) tool. Results: Overall, 24 websites were assessed. The average overall quality for DISCERN was 2.58 out of 5 with a median of 2.5 while the average total DISCERN score was 37.75 out of 80; the highest total quality among them being 61 out of 80. Only 29.17% (7 of 24) of the websites were HONcode certified. The average FLRE was 59.07 out of 100, while the average FLGL was 7.28 with the lowest grade level being 5.20. Conclusion: Patient health related information, on average, were of lower quality, while those higher quality websites were deemed less readable and needed a higher level of education to understand. The average reading grade level was that of the 7 th grade which is lower than what the average American reads at (8 th grade). The highest quality website based on total DISCERN score was from Wikipedia, however FLRE and FLGL tell us it was also harder to comprehend for the average American. Going forward there are important opportunities to improve the quality of online health related information for MI, in order to remain a trusted source of medical information for patients.

User Authentication Into Electronic Health Record Based on Reliable Lightweight Algorithms

2021 ◽  
pp. 700-738
Author(s):  
Mishall Al-Zubaidie ◽  
Zhongwei Zhang ◽  
Ji Zhang
Keyword(s):  
Electronic Health Record ◽  
Experimental Analysis ◽  
Elliptic Curve Cryptography ◽  
Hash Function ◽  
User Authentication ◽  
Health Record ◽  
Patient Records ◽  
Related Information ◽  
Authentication Schemes ◽  
Electronic Health

Supporting a mechanism to authenticate members in electronic health record (EHR) is a fundamental procedure to prevent different threats from penetrating patients' identities/data. Existing authentication schemes still suffer from security drawbacks. Exchanging medical-related information/data between clients and the servers leaves them compromised to breakthrough by intruders as they can transmit over an unreliable environment. To guarantee the protection of patient records, this chapter proposes a new scheme that provides authentication of patients/providers in EHR depending on the legitimate member identities and the device information. The scheme utilizes an elliptic curve cryptography and lightweight hash function to accomplish robust security with satisfying performance. Moreover, it depends on a set of techniques such as multi-pseudonyms to authenticate legitimate members. Additionally, concentrated theoretical and experimental analysis proves that the proposed provides elevated performance and security compared to existing research.

Mining of Medical Trends Using Social Networks

2016 ◽  
pp. 164-182
Author(s):  
Shruti Kohli ◽  
Sonia Saini
Keyword(s):  
Social Networks ◽  
Health Information ◽  
Language Processing ◽  
Social Intelligence ◽  
Medical Information ◽  
Related Information ◽  
Public Health Information ◽  
Health Related ◽  
Post Marketing ◽  
The Media

Recent work in machine learning and natural language processing has studied the content of health related information in tweets and demonstrated the potential for extracting useful public health information from their aggregation. Social intelligence derived from health content has become of significant importance for various applications, including post-marketing drug surveillance, competitive intelligence, medicine reviews and to assess health-related opinions and sentiments. Further, the quantity of medical information in the media such as tweets on Twitter, Facebook or medical blogs is growing at an exponential rate. Medical data such as health records, drug data, etc. has become major candidates for Big Data analysis and thus exploring this content has become a necessity for organizations. However, the volume, velocity, variety, and quality of online health information present challenges, necessitating enhanced facilitation mechanisms for medical social computing. The objective of this chapter is to discuss the possibility of mining medical trends using Social Networks.

Gastrointestinal Motility Online Educational Endeavor

2011 ◽  
pp. 1451-1471
Author(s):  
Shiu-chung Au ◽  
Amar Gupta
Keyword(s):  
Gastrointestinal Motility ◽  
Medical Information ◽  
Heterogeneous Data ◽  
Quality Of Data ◽  
Online Journal ◽  
Web Technologies ◽  
Related Information ◽  
Scholarly Publications ◽  
Specialty Fields ◽  
High Degree

Medical information has been traditionally maintained in books, journals, and specialty periodicals. A growing subset of patients and caregivers are now turning to diverse sources on the internet to retrieve healthcare related information. The next area of growth will be sites that serve specialty fields of medicine, characterized by high quality of data culled from scholarly publications and operated by eminent domain specialists. One such site being developed for the field of Gastrointestinal Motility provides authoritative and current information to a diverse user base that includes patients and student doctors. Gastrointestinal Motility Online leverages the strengths of online textbooks, which have a high degree of organization, in conjunction with the strengths of online journal collections, which are more comprehensive and focused. Gastrointestinal Motility Online also utilizes existing Web technologies such as Wiki-editing and Amazon-style commenting, to automatically assemble information from heterogeneous data sources.

scholarly journals Perception of Patients on Usage of Smartphones by Health Care Professionals during Clinic Hours

2021 ◽  
Vol 4 (6) ◽  
Author(s):  
Samuel O Bolarinde ◽  
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Health Care Professionals ◽  
Medical Information ◽  
Clinical Information ◽  
Care Providers ◽  
Chi Square ◽  
Related Information ◽  
Health Related ◽  
Self Administered Questionnaire

Background of the study: Smartphones medically related applications are quickly becoming one of the main tools for accessing clinical information among health care professionals. Aim of Study: This study assessed the perception of patients on usage of smartphones by health care professionals during clinic hours. Methodology: The study recruited 185 patients. Data on demographic characteristics and perception of patients on the use of smartphones for medical information were obtained using a self-administered questionnaire. Data were summarized using a descriptive statistics and inferential statistics of Chi square. Alpha level was set at 0.005 Results: 76 Males, 109 Females participated in this study. 67.6% (125) own a smartphones. 34.6% (64) have seen health care professionals using smartphones during clinic hours, 28.1% (18) had their health care providers explain to them reasons for using smartphone. 34.1% (63) agreed it was unprofessional for health care provider to use smartphone during clinic, 33.5% (62) disagreed, 32.4% (60) were undecided. No association observed between respondents’ age (χ2= 12.00, p= 0.606), educational qualification (χ2= 8.501, p= 0.075) and responses to the statement that use of smartphones by health care professional was unprofessional. Conclusion: Although one third of the respondents agreed that usage of smartphones by healthcare professionals in the clinic while attending to patients was unprofessional however, usage of smartphone for health related information by health care professionals during clinic hours should be with caution to avoid losing the confidence repose in them by their patients.

scholarly journals Health-Seeking Influence Reflected by Online Health-Related Messages Received on Social Media: Cross-Sectional Survey (Preprint)

2016 ◽  
Author(s):  
Rahila Iftikhar ◽  
Bahaa Abaalkhail
Keyword(s):  
Health Care ◽  
Social Media ◽  
Heart Disease ◽  
Medical Information ◽  
Significant Proportion ◽  
Categorical Variables ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Related Information ◽  
Health Related

BACKGROUND Major social networking platforms, such as Facebook, WhatsApp, and Twitter, have become popular means through which people share health-related information, irrespective of whether messages disseminated through these channels are authentic. OBJECTIVE This study aims to describe the demographic characteristics of patients that may demonstrate their attitudes toward medical information shared on social media networks. Second, we address how information found through social media affects the way people deal with their health. Third, we examine whether patients initiate or alter/discontinue their medications based on information derived from social media. METHODS We conducted a cross-sectional survey between April and June 2015 on patients attending outpatient clinics at King Abdulaziz University, Jeddah, Saudi Arabia. Patients who used social media (Facebook, WhatsApp, and Twitter) were included. We designed a questionnaire with closed-ended and multiple-choice questions to assess the type of social media platforms patients used and whether information received on these platforms influenced their health care decisions. We used chi-square test to establish the relationship between categorical variables. RESULTS Of the 442 patients who filled in the questionnaires, 401 used Facebook, WhatsApp, or Twitter. The majority of respondents (89.8%, 397/442) used WhatsApp, followed by Facebook (58.6%, 259/442) and Twitter (42.3%, 187/442). In most cases, respondents received health-related messages from WhatsApp and approximately 42.6% (171/401) reported ever stopping treatment as advised on a social media platform. A significantly higher proportion of patients without heart disease (P=.001) and obese persons (P=.01) checked the authenticity of information received on social media. Social media messages influenced decision making among patients without heart disease (P=.04). Respondents without heart disease (P=.001) and obese persons (P=.01) were more likely to discuss health-related information received on social media channels with a health care professional. A significant proportion of WhatsApp users reported that health-related information received on this platform influenced decisions regarding their family’s health care (P=.001). Respondents’ decisions regarding family health care were more likely to be influenced when they used two or all three types of platforms (P=.003). CONCLUSIONS Health education in the digital era needs to be accurate, evidence-based, and regulated. As technologies continue to evolve, we must be equipped to face the challenges it brings with it.

scholarly journals Electronic Healthcare Records: an essential part of Health Telematics Applications

2000 ◽  
Vol 09 (01) ◽  
pp. 87-92
Author(s):  
R. Engelbrecht ◽  
C. Hildebrand ◽  
W. Moser
Keyword(s):  
European Union ◽  
Health Professionals ◽  
Medical Information ◽  
Patient Records ◽  
The European Union ◽  
Electronic Patient Records ◽  
Main Field ◽  
Health Telematics ◽  
National Initiatives ◽  
Computer Based

AbstractA healthcare record should ideally be a repository of data, describing a person’s health and how it is being supported; and not, as it is now, describing a person’s diseases and treatment only. The healthcare record is the basis for monitoring and decisions. Therefore it should be open and available to all authorized health professionals and to the patient. To make this easier is one of the major advantages of electronic healthcare records (EHCR). The computer-based patient record could make major contributions to improving the healthcare system. This is the motivation to initiatives, projects and routine implementations of electronic patient records. The European Union and national initiatives have put major efforts into the support of this main field of medical information processing.

Gastrointestinal Motility Online Educational Endeavor

2010 ◽  
pp. 163-182
Author(s):  
Shiu-chung Au ◽  
Amar Gupta
Keyword(s):  
Knowledge Base ◽  
Gastrointestinal Motility ◽  
Medical Information ◽  
Current Knowledge ◽  
Heterogeneous Data ◽  
High Quality ◽  
Online Journal ◽  
Related Information ◽  
Scholarly Publications ◽  
Current Knowledge Base

Medical information has been traditionally maintained in books, journals, and specialty periodicals. Now, a growing number of people, including patients and caregivers, turn to a variety of sources on the Internet, most of which are run by commercial entities, to retrieve healthcare-related information. The next area of growth will be sites that focus on specific fields of medicine, featuring high quality data culled from scholarly publications, operated by eminent domain specialists. One such site is being developed for the field of Gastrointestinal Motility; it further augments the innovations of existing healthcare information sites with the intention of serving the diverse needs of lay people, medical students, and experts in the field. The site, called Gastrointestinal Motility Online, leverages the strengths of online textbooks, which have a high degree of organization, in conjunction with the strengths of online journal collections, which are more comprehensive and focused, to produce a knowledge base that can be easily updated, but still provides authoritative and high quality information to users. In addition to implementing existing Web technologies such as Wiki- and Amazon-style commenting options, Gastrointestinal Motility Online uses automatic methods to assemble information from various heterogeneous data sources to create a coherent, cogent, and current knowledge base serving a diverse base of users.

Managing Calls to Mauri Ora: Medical Reception in Action

2021 ◽  
Author(s):  
◽  
Fiona Grattan
Keyword(s):  
Health Care ◽  
Health Service ◽  
Access To Health Care ◽  
Medical Information ◽  
Medical Training ◽  
Future Research ◽  
Practical Applications ◽  
Related Information ◽  
Access To Health ◽  
Health Related

<p>Often a patient’s first contact with their health service is through a medical receptionist. Literature has framed medical receptionists as gate-keepers, and few studies have examined what they actually do when they answer incoming calls by studying recordings of them. The current thesis asks how receptionists managed calls to Mauri Ora, a student health service, to deliver what the callers were asking for. The findings present evidence that receptionists are skilled and supportive in their interactions with patients.  Following discursive psychology and conversation analysis as theoretical and methodological frameworks this thesis examined naturally occurring social interactions to discover how joint understanding and coordinated action was accomplished. Eighteen (N=18) calls between receptionists and patients were recorded, transcribed and examined in detail for what happened in each call and how receptionists worked to deliver what the callers were asking for.  Callers ring with a broad range of different problems. The analysis documents how receptionists showed that they understood what callers wanted, and the ways they worked to progress solutions. The examination of requests for doctors’ appointments were of particular interest because of their very limited availability and the triage process for getting one. By establishing with the caller the conditions under which they could see a doctor, including if it was an urgent problem, receptionists opened the door to the health care being sought. A difficult matter for receptionists is asking for and responding to health-related information because they have no medical training. An additional aspect of the analysis demonstrated that receptionists only asked for medical information as a record for triage referral, and when it had not previously been disclosed.  Far from casting medical receptionists as gate-keepers withholding help, the current thesis demonstrates their orientation towards granting the requests of callers and doing what they can to facilitate access to health care. Practical applications for the training and practice of medical receptionists are considered as well as future research, and the ethical constraints of this kind of work.</p>

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