scholarly journals Instance-Based Learning Following Physician Reasoning for Assistance during Medical Consultation

2021 ◽  
Vol 11 (13) ◽  
pp. 5886
Author(s):  
Matías Galnares ◽  
Sergio Nesmachnow ◽  
Franco Simini
Keyword(s):  
Electronic Medical Records ◽  
Medical Records ◽  
Bayesian Learning ◽  
Medical Consultation ◽  
Clinical Knowledge ◽  
Time System ◽  
Real Time System ◽  
Instance Based Learning ◽  
Medical Consultations

This article presents an automatic system for modeling clinical knowledge to follow a physician’s reasoning in medical consultation. Instance-based learning is applied to provide suggestions when recording electronic medical records. The system was validated on a real case study involving advanced medical students. The proposed system is accurate and efficient: 2.5× more efficient than a baseline empirical tool for suggestions and two orders of magnitude faster than a Bayesian learning method, when processing a testbed of 250 clinical case types. The research provides a framework to implement a real-time system to assist physicians during medical consultations.

scholarly journals ELECTRONIC MEDICAL RECORD ALGORITHM TO IDENTIFY UNDIAGNOSED (PRE)DIABETES: A CASE STUDY FROM HAWAIʻI

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S934-S934
Author(s):  
David Stupplebeen ◽  
Tetine L Sentell ◽  
Lance Ching ◽  
Blythe Nett ◽  
Hermina Taylor ◽  
...  
Keyword(s):  
Older Adults ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Clinical Laboratory ◽  
Older Men ◽  
State Health ◽  
Missed Opportunities ◽  
The Past ◽  
Department Of Health

Abstract An estimated one-quarter of United States’ older adults (≥65 years) have diabetes (DM) while half have prediabetes (PreDM). Timely diagnosis can prevent disease progression, but significant proportions of PreDM/DM are undiagnosed. Among Hawai‘i adults, one-third of diabetes and two-thirds of prediabetes cases are undiagnosed; rates for older adults are unknown. Algorithms integrated into Electronic Medical Records (EMR) may improve care by identifying probable undiagnosed cases in patient panels using clinical/laboratory measures. We assessed one algorithm developed by the Hawai‘i Department of Health that identified individuals overdue for screening or with Pre/DM using the records of 20,362 adult patients (51.33% were >65) from a major state health system. 6,371 (31.3%) patients were excluded from analysis; they had no HbA1c screening in the past year or were overdue for screening (70%) based on standard guidelines. Of the remaining 13,991 patients, 7317 were older adults; 6130 (84%) had a PreDM (50.6%) or DM (33.2%) HbA1c value; the rest were controlled or false-positive. Of those older adults with probable PreDM/DM, 38.6% were undiagnosed. Adults >65 were significantly more likely to be flagged with undiagnosed PreDM compared to their younger counterparts (58 versus 54%, p<.001). Notably, 61% of older men flagged with PreDM were undiagnosed. Of the 5,737 patients identified with DM, 22% of those 65 were undiagnosed. Given the recognized high burden of diabetes among older adults, results indicate substantial missed opportunities for the prevention and early treatment of this condition as identified by an EMR algorithm.

Factors Influencing Diffusion of Electronic Medical Records: A Case Study in Three Healthcare Institutions in Japan

2005 ◽  
Vol 34 (4) ◽  
pp. 120-129 ◽  
Author(s):  
Otieno George Ochieng ◽  
Ryozo Hosoi
Keyword(s):  
Information Technology ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Healthcare Workers ◽  
Reminder Systems ◽  
Healthcare Environment ◽  
Factors Influencing ◽  
Positive Attitudes ◽  
It Skills

This study examines the effect of three factors: information technology (IT) skills of healthcare workers, present status of computerisation in their organisations, and workers' attitudes on the diffusion of electronic medical records (EMRs) in the healthcare environment. Data were obtained from a self-questionnaire distributed to 390 healthcare workers. The study finds that respondents need an expanded EMR capability to include decision support systems and reminder systems, and that diffusion of EMR is heavily influenced by attitudes of healthcare workers. However, targeted training of healthcare workers is needed to foster positive attitudes about EMR, and build confidence in the benefits of these systems.

Usability Evaluation of the Electronic Medical Record of the Rapid Response Team: a Case Study

2021 ◽  
Author(s):  
Mehrdad Karajizadeh ◽  
Reza Nikandish ◽  
Omid Yousefianzadeh ◽  
Zahra Hamedi ◽  
Hamid Reza Saeidnia
Keyword(s):  
Electronic Medical Records ◽  
Medical Records ◽  
Organ Transplant ◽  
User Interaction ◽  
Rapid Response Team ◽  
Cross Sectional Study ◽  
Rapid Response ◽  
Cross Sectional ◽  
Response Team

Aim: This study was conducted to determine the usability of the rapid response team (RRT) electronic medical records (EMRs) system at an Abu-Ali-Sina organ transplant hospital, Shiraz, Iran. Method: This cross-sectional study was carried out in partnership with 25 direct members of RRT includes nurses and anesthesia technicians who were on the shift during the data collection for two months. To evaluate, the Questionnaire for User Interaction Satisfaction (QUIS) version 7 was used. Data were analyzed by SPSS version 19. Results: A total of 20 out of 25 questionnaires were obtained. Seven (25.0 %) of 27 sections were higher than seven, and all areas were higher than five. The highest rankings were for 1) reading characters on the computer screen 2) highlighting on the screen simplify task 3) overall reactions: wonderful and learning to operate the system. Conclusion: This study demonstrates the usability of the hospital RRT for the EMRs system and over the moderate. However, the flexibility and capability of the rapid response for EMRs tool require to be improved.

Real-Time Resilient Control for Stochastic Production System Energy Efficiency

2017 ◽  
Author(s):  
Jorge Arinez ◽  
Jing Zou ◽  
Qing Chang ◽  
Yong Lei
Keyword(s):  
Energy Efficiency ◽  
Real Time ◽  
Control Policy ◽  
Time System ◽  
Real Time System ◽  
Multi Stage ◽  
System Resilience ◽  
System Energy ◽  
Stochastic Production

For multi-stage manufacturing system, considerable amount of energy may be wasted and energy efficiency may be hindered due to idleness or constraints from the interactions between the machines and buffers. In this paper, a real-time system performance diagnostic method is developed to identify energy waste due to machine and buffer interactions, and system resilience against random disruption events. Furthermore, by utilizing the real-time system diagnostic information, a novel real-time resilient feedback control policy is proposed to improve system energy efficiency and deliver resilient performance against random disruption events. A case study is presented to demonstrate the effectiveness of the proposed control policy.

Visual assessment of a real-time system design: a case study on a CNC controller

2002 ◽  
Author(s):  
Namyun Kim ◽  
Minsoo Ryu ◽  
Seongsoo Hong ◽  
M. Saksena ◽  
Chong-Ho Choi ◽  
...  
Keyword(s):  
System Design ◽  
Real Time ◽  
Visual Assessment ◽  
Time System ◽  
Real Time System ◽  
Cnc Controller

A Case Study of the Incremental Utility for Disease Identification of Natural Language Processing in Electronic Medical Records

2017 ◽  
Vol 32 (1) ◽  
pp. 31-37 ◽  
Author(s):  
Lisa S. Weiss ◽  
Xiaofeng Zhou ◽  
Alexander M. Walker ◽  
Ashwin N. Ananthakrishnan ◽  
Rongjun Shen ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Electronic Medical Records ◽  
Language Processing ◽  
Medical Records ◽  
Disease Identification
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