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2. Using Patient Portals to Improve Patient Outcomes: Systematic Review

Author

Han, Hae-Ra, Gleason, Kelly T, Sun, Chun-An, Miller, Hailey N, Kang, Soo Jin, Chow, Sotera, Anderson, Rachel, Nagy, Paul, and Bauer, Tom

Subjects
Medical technology, R855-855.5
Abstract

BackgroundWith the advent of electronic health record (EHR) systems, there is increasing attention on the EHR system with regard to its use in facilitating patients to play active roles in their care via secure patient portals. However, there is no systematic review to comprehensively address patient portal interventions and patient outcomes. ObjectiveThis study aimed to synthesize evidence with regard to the characteristics and psychobehavioral and clinical outcomes of patient portal interventions. MethodsIn November 2018, we conducted searches in 3 electronic databases, including PubMed, EMBASE, and Cumulative Index to Nursing and Allied Health Literature, and a total of 24 articles met the eligibility criteria. ResultsAll but 3 studies were conducted in the United States. The types of study designs varied, and samples predominantly involved non-Hispanic white and highly educated patients with sizes ranging from 50 to 22,703. Most of the portal interventions used tailored alerts or educational resources tailored to the patient’s condition. Patient portal interventions lead to improvements in a wide range of psychobehavioral outcomes, such as health knowledge, self-efficacy, decision making, medication adherence, and preventive service use. Effects of patient portal interventions on clinical outcomes including blood pressure, glucose, cholesterol, and weight loss were mixed. ConclusionsPatient portal interventions were overall effective in improving a few psychological outcomes, medication adherence, and preventive service use. There was insufficient evidence to support the use of patient portals to improve clinical outcomes. Understanding the role of patient portals as an effective intervention strategy is an essential step to encourage patients to be actively engaged in their health care.

Published
2019
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8. MicrobioRaman: an open-access web repository for microbiological Raman spectroscopy data

Author

Lee, Kang Soo, Landry, Zachary, Athar, Awais, Alcolombri, Uria, Pramoj Na Ayutthaya, Pratchaya, Berry, David, de Bettignies, Philippe, Cheng, Ji-Xin, Csucs, Gabor, Cui, Li, Deckert, Volker, Dieing, Thomas, Dionne, Jennifer, Doskocil, Ondrej, D’Souza, Glen, García-Timermans, Cristina, Gierlinger, Notburga, Goda, Keisuke, Hatzenpichler, Roland, Henshaw, Richard J., Huang, Wei E., Iermak, Ievgeniia, Ivleva, Natalia P., Kneipp, Janina, Kubryk, Patrick, Küsel, Kirsten, Lee, Tae Kwon, Lee, Sung Sik, Ma, Bo, Martínez-Pérez, Clara, Matousek, Pavel, Meckenstock, Rainer U., Min, Wei, Mojzeš, Peter, Müller, Oliver, Kumar, Naresh, Nielsen, Per Halkjær, Notingher, Ioan, Palatinszky, Márton, Pereira, Fátima C., Pezzotti, Giuseppe, Pilat, Zdenek, Plesinger, Filip, Popp, Jürgen, Probst, Alexander J., Riva, Alessandra, Saleh, Amr. A. E., Samek, Ota, Sapers, Haley M., Schubert, Olga T., Stubbusch, Astrid K. M., Tadesse, Loza F., Taylor, Gordon T., Wagner, Michael, Wang, Jing, Yin, Huabing, Yue, Yang, Zenobi, Renato, Zini, Jacopo, Sarkans, Ugis, and Stocker, Roman

Published
2024
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18. Detecting Biological Locomotion in Video: A Computational Approach

Author

Kang, Soo Min and Wildes, Richard P.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Animals locomote for various reasons: to search for food, find suitable habitat, pursue prey, escape from predators, or seek a mate. The grand scale of biodiversity contributes to the great locomotory design and mode diversity. Various creatures make use of legs, wings, fins and other means to move through the world. In this report, we refer to the locomotion of general biological species as biolocomotion. We present a computational approach to detect biolocomotion in unprocessed video. Significantly, the motion exhibited by the body parts of a biological entity to navigate through an environment can be modeled by a combination of an overall positional advance with an overlaid asymmetric oscillatory pattern, a distinctive signature that tends to be absent in non-biological objects in locomotion. We exploit this key trait of positional advance with asymmetric oscillation along with differences in an object's common motion (extrinsic motion) and localized motion of its parts (intrinsic motion) to detect biolocomotion. An algorithm is developed to measure the presence of these traits in tracked objects to determine if they correspond to a biological entity in locomotion. An alternative algorithm, based on generic features combined with learning is assembled out of components from allied areas of investigation, also is presented as a basis of comparison. A novel biolocomotion dataset encompassing a wide range of moving biological and non-biological objects in natural settings is provided. Also, biolocomotion annotations to an extant camouflage animals dataset are provided. Quantitative results indicate that the proposed algorithm considerably outperforms the alternative approach, supporting the hypothesis that biolocomotion can be detected reliably based on its distinct signature of positional advance with asymmetric oscillation and extrinsic/intrinsic motion dissimilarity.

Published
2021

22. Identification of inulin-responsive bacteria in the gut microbiota via multi-modal activity-based sorting

Author

Riva, Alessandra, Rasoulimehrabani, Hamid, Cruz-Rubio, José Manuel, Schnorr, Stephanie L., von Baeckmann, Cornelia, Inan, Deniz, Nikolov, Georgi, Herbold, Craig W., Hausmann, Bela, Pjevac, Petra, Schintlmeister, Arno, Spittler, Andreas, Palatinszky, Márton, Kadunic, Aida, Hieger, Norbert, Del Favero, Giorgia, von Bergen, Martin, Jehmlich, Nico, Watzka, Margarete, Lee, Kang Soo, Wiesenbauer, Julia, Khadem, Sanaz, Viernstein, Helmut, Stocker, Roman, Wagner, Michael, Kaiser, Christina, Richter, Andreas, Kleitz, Freddy, and Berry, David

Published
2023
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29. Myocardial Scar and Revascularization on Mortality in Ischemic Cardiomyopathy (from the Late Gadolinium Enhancement Cardiac Magnetic Resonance Study)

Author

Park, Hanbit, Kang, Do-Yoon, Ahn, Jung-Min, Yang, Dong Hyun, Koo, Hyun Jung, Kang, Joon-Won, Lee, Pil Hyung, Lee, Sang Eun, Kim, Min-Seok, Kang, Soo-Jin, Park, Duk-Woo, Lee, Seung-Whan, Kim, Young-Hak, Lee, Cheol Whan, Kim, Ho Jin, Kim, Joon Bum, Jung, Sung Ho, Choo, Suk Jung, Chung, Cheol-Hyun, Lee, Jae-Won, Kim, Jae-Joong, Park, Seong-Wook, and Park, Seung-Jung

Published
2023
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30. Tratamiento antiagregante plaquetario doble tras la intervención coronaria percutánea del tronco coronario izquierdo

Author

Cho, Sungsoo, Kang, Do-Yoon, Kim, Jung-Sun, Park, Duk-Woo, Kim, In-Soo, Kang, Tae Soo, Ahn, Jung-Min, Lee, Pil Hyung, Kang, Soo-Jin, Lee, Seung-Whan, Kim, Young-Hak, Lee, Cheol Whan, Park, Seong-Wook, Lee, Seung-Jun, Hong, Sung-Jin, Ahn, Chul-Min, Kim, Byeong-Keuk, Ko, Young-Guk, Choi, Donghoon, Jang, Yangsoo, Hong, Myeong-Ki, and Park, Seung-Jung

Published
2023
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32. Visualizing Tacit Knowledge in Cardiac Operating Room: A Need-Finding Study

Author

Kang, Soo Jin, Wang, Cecilia Xi, Perry, Tjorvi, Richardson, Stephen, Miller, Lisa, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Soares, Marcelo M., editor, Rosenzweig, Elizabeth, editor, and Marcus, Aaron, editor

Published
2022
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33. Neural Angular Plaque Characterization: Automated Quantification of Polar Distribution for Plaque Composition

Author

Cho, Hyungjoo, Choi, Dongmin, Min, Hyun-Seok, Kang, Soo-Jin, Kim, Hwiyoung, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Puyol Antón, Esther, editor, Pop, Mihaela, editor, Martín-Isla, Carlos, editor, Sermesant, Maxime, editor, Suinesiaputra, Avan, editor, Camara, Oscar, editor, Lekadir, Karim, editor, and Young, Alistair, editor

Published
2022
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36. Automated detection of vulnerable plaque in intravascular ultrasound images

Author

Jun, Tae Joon, Kang, Soo-Jin, Lee, June-Goo, Kweon, Jihoon, Na, Wonjun, Kang, Daeyoun, Kim, Dohyeun, Kim, Daeyoung, and Kim, Young-Hak

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Acute Coronary Syndrome (ACS) is a syndrome caused by a decrease in blood flow in the coronary arteries. The ACS is usually related to coronary thrombosis and is primarily caused by plaque rupture followed by plaque erosion and calcified nodule. Thin-cap fibroatheroma (TCFA) is known to be the most similar lesion morphologically to a plaque rupture. In this paper, we propose methods to classify TCFA using various machine learning classifiers including Feed-forward Neural Network (FNN), K-Nearest Neighbor (KNN), Random Forest (RF) and Convolutional Neural Network (CNN) to figure out a classifier that shows optimal TCFA classification accuracy. In addition, we suggest pixel range based feature extraction method to extract the ratio of pixels in the different region of interests to reflect the physician's TCFA discrimination criteria. A total of 12,325 IVUS images were labeled with corresponding OCT images to train and evaluate the classifiers. We achieved 0.884, 0.890, 0.878 and 0.933 Area Under the ROC Curve (AUC) in the order of using FNN, KNN, RF and CNN classifier. As a result, the CNN classifier performed best and the top 10 features of the feature-based classifiers (FNN, KNN, RF) were found to be similar to the physician's TCFA diagnostic criteria., Comment: Submitted to journal

Published
2018
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41. Characteristics of Side Effects in Non-Emergency Indications Using Computer-Controlled Pressurized Monoplace Hyperbaric Chambers: A Retrospective Multicenter Study.

Author

Lee, Hee-Young, Kang, Soo, Paik, Jin-Hui, Ahn, Tae-Kyu, Seo, Young-Ho, Kim, Hyun, Cha, Yong-Sung, and Lee, Yoonsuk

Subjects
*HYPERBARIC oxygenation, *SENSORINEURAL hearing loss, *PATIENT compliance, *ELECTRONIC health records, *MIDDLE ear
Abstract

Background: Hyperbaric oxygen therapy (HBOT) involves inhaling nearly 100% oxygen in a pressurized environment and is commonly used to treat various diseases and injuries. Despite its well-known safety, HBOT is associated with side effects, with frequent middle ear barotrauma (MEB) and oxygen toxicity. Understanding the characteristics and risk factors associated with these side effects is critical for improving patient compliance and treatment outcomes. Methods: This retrospective multicenter study aimed to analyze the characteristics and factors associated with side effects during HBOT using a computer-controlled pressurized monoplace hyperbaric chamber. We conducted a retrospective observational study across the two tertiary hospitals in Korea, involving patients who received HBOT from October 2016 for one hospital and October 2017 for another hospital to June 2020. Data were extracted from electronic medical records and hyperbaric chamber logs, including patient demographics, medical history, HBOT indications, and details of side effects. Statistical analyses, including chi-square and t-tests, were used to compare variables. Results: A total of 247 patients (mean age: 59.35 ± 15.05 years, 63.56% male) were included. The most common indications for HBOT were sudden sensorineural hearing loss (27.94%) and post-graft/flap (24.29%). Hypertension (46.15%) and diabetes mellitus (39.27%) were the most frequent comorbidities. Otalgia was the most prevalent side effect (33.20%), followed by chest discomfort (2.02%) and headache (1.62%). A significant proportion of patients (11.74%) terminated HBOT due to side effects, with most pauses occurring at pressures between 1.2 and 1.4 ATA (26.67%). Side effects, particularly otalgia, significantly impact patient compliance with HBOT. Conclusions: The incidence of side effects varies by pressure level during treatment, suggesting the need for tailored strategies to minimize side effects. This study highlights the importance of patient monitoring and education to improve the safety and efficacy of HBOT in monoplace chambers. [ABSTRACT FROM AUTHOR]

Published
2024
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