- Promotion of prehospital emergency care through clinical decision support systems: opportunities and challenges
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Bashiri A, Alizadeh Savareh B, Ghazisaeedi M
- KMID: 2469085
- Clin Exp Emerg Med.
- 2019 Dec;6(4):288-296.
- doi: 10.15441/ceem.18.032
Clinical decision support systems are interactive computer systems for situational decision making and can improve decision efficiency and safety of care. We investigated the role of these systems in enhancing... -
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- The future of artificial intelligence for physicians
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Do S
- KMID: 2305539
- J Korean Med Assoc.
- 2016 Jun;59(6):410-412.
- doi: 10.5124/jkma.2016.59.6.410
Artificial Intelligence (AI) to support the medical decision-making process has long been both an interest and concern of physicians and the public. However, the introduction of open source software, supercomputers,... -
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- Development and application of patient decision aids
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Bae JM
- KMID: 2380655
- Epidemiol Health.
- 2015;37:e2015018.
- doi: 10.4178/epih/e2015018
With the current overdiagnosis of thyroid cancer resulting from routine screening in Korea, it is necessary to educate the public that not all cancers are malignant. The exposure to patient... -
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- Lifting Shadows off the End-of-Life Care: Hopes and Beliefs on Video Decision Support Tools for Advance Care Planning
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Jeong HJ, Yoon H
- KMID: 2156238
- Korean J Hosp Palliat Care.
- 2016 Mar;19(1):1-4.
- doi: 10.14475/kjhpc.2016.19.1.1
As advance care planning is taking center stage in the field of end-of-life care, various tools have been developed to aid in the often emotional and difficult decision-making process. Video... -
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- The Adoption of Electronic Medical Records and Decision Support Systems in Korea
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Chae YM, Yoo KB, Kim ES, Chae H
- KMID: 1974243
- Healthc Inform Res.
- 2011 Sep;17(3):172-177.
- doi: 10.4258/hir.2011.17.3.172
OBJECTIVES: To examine the current status of hospital information systems (HIS), analyze the effects of Electronic Medical Records (EMR) and Clinical Decision Support Systems (CDSS) have upon hospital performance, and... -
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- Expert System Shells for Rapid Clinical Decision Support Module Development: An ESTA Demonstration of a Simple Rule-Based System for the Diagnosis of Vaginal Discharge
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Kamel Boulos MN
- KMID: 2284559
- Healthc Inform Res.
- 2012 Dec;18(4):252-258.
- doi: 10.4258/hir.2012.18.4.252
OBJECTIVES: This study demonstrates the feasibility of using expert system shells for rapid clinical decision support module development. METHODS: A readily available expert system shell was used to build a simple... -
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- Integration and Evaluation of Clinical Decision Support Systems for Diagnosis Idopathics Pulmonary Fibrosis (IPF)
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Lee Y, Chae Y, Jeon S
- KMID: 2284539
- Healthc Inform Res.
- 2010 Dec;16(4):260-272.
- doi: 10.4258/hir.2010.16.4.260
OBJECTIVES: The purpose of this study was to develop clinical decision support systems (CDSS) that are integrated with hospital information systems for the differential diagnosis of idiopathic pulmonary fibrosis (IPF). METHODS:... -
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- Healthcare Decision Support System for Administration of Chronic Diseases
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Woo JI, Yang JG, Lee YH, Kang UG
- KMID: 2284580
- Healthc Inform Res.
- 2014 Jul;20(3):173-182.
- doi: 10.4258/hir.2014.20.3.173
OBJECTIVES: A healthcare decision-making support model and rule management system is proposed based on a personalized rule-based intelligent concept, to effectively manage chronic diseases. METHODS: A Web service was built using... -
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- Follow-Up Decision Support Tool for Public Healthcare: A Design Research Perspective
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Miah SJ, Hasan N, Gammack J
- KMID: 2462230
- Healthc Inform Res.
- 2019 Oct;25(4):313-323.
- doi: 10.4258/hir.2019.25.4.313
OBJECTIVES: Mobile health (m-Health) technologies may provide an appropriate follow-up support service for patient groups with post-treatment conditions. While previous studies have introduced m-Health methods for patient care, a smart... -
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- Bayesian-Based Decision Support System for Assessing the Needs for Orthodontic Treatment
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Thanathornwong B
- KMID: 2403292
- Healthc Inform Res.
- 2018 Jan;24(1):22-28.
- doi: 10.4258/hir.2018.24.1.22
OBJECTIVES: In this study, a clinical decision support system was developed to help general practitioners assess the need for orthodontic treatment in patients with permanent dentition. METHODS: We chose a Bayesian... -
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- Clinical Decision Support Model to Predict Occlusal Force in Bruxism Patients
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Thanathornwong B, Suebnukarn S
- KMID: 2396416
- Healthc Inform Res.
- 2017 Oct;23(4):255-261.
- doi: 10.4258/hir.2017.23.4.255
OBJECTIVES: The aim of this study was to develop a decision support model for the prediction of occlusal force from the size and color of articulating paper markings in bruxism... -
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- Comparison of Accuracies for Image-based 1.5T and 3T MRI Using a Clinical Decision Support System Driven by a Support Vector Machine to Detect Seminal Vesicle Invasion of Prostate Cance
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Kim SY, Lee HJ, Jung DC, Hwang SI, Sung CK, Cho JY, Kim SH
- KMID: 2208886
- J Korean Soc Radiol.
- 2010 Jul;63(1):49-56.
- doi: 10.3348/jksr.2010.63.1.49
PURPOSE: The purpose of this study is to develop image-based clinical decision support systems (CDSSs) using support vector machine models (SVMs) for the detection of seminal vesicle invasion (SVI) of... -
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- Clinical Decision Support Functions and Digitalization of Clinical Documents of Electronic Medical Record Systems
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Park YT, Kim YS, Yi BK, Kim SM
- KMID: 2445008
- Healthc Inform Res.
- 2019 Apr;25(2):115-123.
- doi: 10.4258/hir.2019.25.2.115
OBJECTIVES: The objective of this study was to investigate the clinical decision support (CDS) functions and digitalization of clinical documents of Electronic Medical Record (EMR) systems in Korea. This exploratory... -
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- Architecture Design of Healthcare Software-as-a-Service Platform for Cloud-Based Clinical Decision Support Service
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Oh S, Cha J, Ji M, Kang H, Kim S, Heo E, Han JS, Kang H, Chae H, Hwang H, Yoo S
- KMID: 2284613
- Healthc Inform Res.
- 2015 Apr;21(2):102-110.
- doi: 10.4258/hir.2015.21.2.102
OBJECTIVES: To design a cloud computing-based Healthcare Software-as-a-Service (SaaS) Platform (HSP) for delivering healthcare information services with low cost, high clinical value, and high usability. METHODS: We analyzed the architecture requirements... -
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- Research and Development Efforts Aimed at Implementing Electronic Health Record Systems with Interoperability and Patient Safety
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Kim Y, Cho IS, Seo JW, Kim IK, Kim HG, Choi Y
- KMID: 2330731
- J Korean Soc Med Inform.
- 2006 Jun;12(2):115-132.
Electronic health records (EHR) hold promise in improving the quality and efficiency of health care, yet the health care system remains years behind other industries with respect to the adoption... -
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- A Study on User Satisfaction regarding the Clinical Decision Support System (CDSS) for Medication
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Kim J, Chae YM, Kim S, Ho SH, Kim HH, Park CB
- KMID: 2166616
- Healthc Inform Res.
- 2012 Mar;18(1):35-43.
- doi: 10.4258/hir.2012.18.1.35
OBJECTIVES: Many medication errors can occur when ordering and dispensing medicine in hospitals. The clinical decision support system (CDSS) is widely used in an effort to reduce medication errors. This... -
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- Pre-Operative Prediction of Advanced Prostatic Cancer Using Clinical Decision Support Systems: Accuracy Comparison between Support Vector Machine and Artificial Neural Network
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Kim SY, Moon SK, Jung DC, Hwang SI, Sung CK, Cho JY, Kim SH, Lee J, Lee HJ
- KMID: 1116444
- Korean J Radiol.
- 2011 Oct;12(5):588-594.
- doi: 10.3348/kjr.2011.12.5.588
OBJECTIVE: The purpose of the current study was to develop support vector machine (SVM) and artificial neural network (ANN) models for the pre-operative prediction of advanced prostate cancer by using... -
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- Implementation of Ontology-based Clinical Decision Support System for Management of Interactions Between Antihypertensive Drugs and Diet
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Park JE, Kim HS, Chang MJ, Hong HS
- KMID: 1796154
- J Korean Acad Nurs.
- 2014 Jun;44(3):294-304.
- doi: 10.4040/jkan.2014.44.3.294
PURPOSE: The influence of dietary composition on blood pressure is an important subject in healthcare. Interactions between antihypertensive drugs and diet (IBADD) is the most important factor in the management... -
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- Evidence-Based Cancer Imaging
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Shinagare , Khorasani
- KMID: 2468126
- Korean J Radiol.
- 2017 Feb;18(1):107-112.
- doi: 10.3348/kjr.2017.18.1.107
With the advances in the field of oncology, imaging is increasingly used in the follow-up of cancer patients, leading to concerns about over-utilization. Therefore, it has become imperative to make... -
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- The Correlation between the Degree of Enophthalmos and the Extent of Fracture in Medial Orbital Wall Fracture Left Untreated for Over Six Months: A Retrospective Analysis of 81 Cases at a Single Institution
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Sung YS, Chung CM, Hong IP
- KMID: 2167884
- Arch Plast Surg.
- 2013 Jul;40(4):335-340.
- doi: 10.5999/aps.2013.40.4.335
BACKGROUND: In patients with medial orbital wall fracture, predicting the correlation between the degree of enophthalmos and the extent of fracture is essential for deciding on surgical treatment. We conducted... -
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