• Title/Summary/Keyword: Digital Treatment

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Implementation of Digital Directly Observed Treatment (DOT) System using a Smart Pillbox (스마트 약상자를 이용한 디지털 직접 복약 관리 시스템의 구축)

  • Kim, Beom-Joon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.5
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    • pp.1213-1219
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    • 2012
  • As Korea is expected to enter an aging society in near future, the number of patients who need a long-term prescribtion is expected to increase as well. In particular, Korea shows the highest in both the incident rate and the death rate among OECD member nations. The current situation requires more strict monitoring and management for patients' taking medicine, there are a few practical problems such as personnel expenses. Recently the concept of directly observed treatment (DOT) that is based on the IT technologies has been introduced. This paper, therefore, proposes a digital DOT system with a smart pillbox and drives key requirements for the smart pillbox that plays an important and essential role in the proposed digital DOT system.

Treatment Using the SpyGlass Digital System in a Patient with Hepatolithiasis after a Whipple Procedure

  • Harima, Hirofumi;Hamabe, Kouichi;Hisano, Fusako;Matsuzaki, Yuko;Itoh, Tadahiko;Sanuki, Kazutoshi;Sakaida, Isao
    • Clinical Endoscopy
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    • v.51 no.6
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    • pp.596-599
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    • 2018
  • An 89-year-old man was referred to our hospital for treatment of hepatolithiasis causing recurrent cholangitis. He had undergone a prior Whipple procedure. Computed tomography demonstrated left-sided hepatolithiasis. First, we conducted peroral direct cholangioscopy (PDCS) using an ultraslim endoscope. Although PDCS was successfully conducted, it was unsuccessful in removing all the stones. The stones located in the B2 segment were difficult to remove because the endoscope could not be inserted deeply into this segment due to the small size of the intrahepatic bile duct. Next, we substituted the endoscope with an upper gastrointestinal endoscope. After positioning the endoscope, the SpyGlass digital system (SPY-DS) was successfully inserted deep into the B2 segment. Upon visualizing the residual stones, we conducted SPY-DS-guided electrohydraulic lithotripsy. The stones were disintegrated and completely removed. In cases of PDCS failure, a treatment strategy using the SPY-DS can be considered for patients with hepatolithiasis after a Whipple procedure.

Digital Sympathectomy for Treatment of Raynaud's Syndrome (레이노드 증후군의 치료에 있어서 수부 교감신경절제술)

  • Rhee, Se Whan;Ahn, Hee Chang;Choi, M Seung Suk;Kim, Chang Yeon
    • Archives of Plastic Surgery
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    • v.32 no.4
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    • pp.479-484
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    • 2005
  • Raynaud's syndrome causes discolorization, ischemic claudication(pain) and necrosis of the digits through insufficiency in the circulation which is induced by intermittent spasms of the digital arteries. From January, 2002 to December, 2004, 10 patients were surgically treated for Raynaud's syndrome. 9 patients were female and 1 patient was male. 2 patients showed unilateral involvement, 8 patients were operated on both hands. 6 patients had necrotic changes on the finger tips due to the disease. Ages ranged from 21 to 60 with an average of 39.1. Ischemic pain, discolorization, and cold intolerance of the digits were the common symptoms. All patients were evaluated with color doppler before the surgery. Two different procedures were applied according to the severity of the disease: Patients with decreased circulation received, what we call a limited digital sympathectomy, i.e. stripping of the adventitia of the ulnar, radial and common digital arteries. An extended procedure, radical digital sympathectomy, was performed on patients with a complete block of circulation. Stripping of the adventitia in these patients also involved the proper digital arteries. Symptoms like discolorization, ischemic pain, and cold intolerance improved immediately after the surgery. The patients did not suffer from pain even with exposure to cold weather. We conclude that digital sympathectomy could improve the symptoms in Raynaud's patients who do not respond to conservative treatment such as calcium channel blocker and other vasodilators.

Clinical Study : Effect of Acupuncture on Digital Infrared Thermographic Imaging(DITI) in Frozen Shoulder Patients (침 치료가 오십견(五十肩) 환자의 적외선 체열촬영에 미치는 영향)

  • Kim, Kun-Hyung;Lee, Ro-Min;Nam, Dong-Woo;Kim, Jong-In;Lim, Sabina;Lee, Doo-Ik;Choi, Do-Young;Lee, Yun-Ho;Lee, Jae-Dong
    • Journal of Acupuncture Research
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    • v.23 no.5
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    • pp.219-228
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    • 2006
  • Objectives : To observe the effect of acupuncture treatment on Digital Infrared Thermographic Imaging(DITI) in frozen shoulder patients. Methods : 17 voluntary patients received acupuncture treatment on LI15, TE14, GB21 and Master Dong's acupuncture points, Shin-gwan and Gyun-joong, twice a week for 4 weeks. The patients were instructed to practice self exercise during their daily lives. Evaluations were made before treatment, after 1 week of treatment, after 2 weeks, 3 weeks and after 4 weeks of treatment. Constant Shoulder Assessment(CSA), Shoulder Pain and Disability Index(SPADI), Range of Motion(ROM) and the patient's satisfaction concerning the treatment was measured by Visual Analogue Scale(VAS). DITI was measured before treatment and after 4weeks of treatment. The obtained data was analyzed. Results : CSA, SPADI, VAS, adduction and extension showed significant(p<0.05) improvement. Abduction and flexion both improved after 4 weeks of treatment, but the improvement was statistically insignificant(p>0.05). DITI showed improvement but the improvement was insignificant(p>0.05). Conclusion : 4 weeks of acupuncture treatment significantly improved CSA, SPADI, VAS, adduction and extension in frozen shoulder patients(p<0.05). The improvement of abduction and flexion after 4 weeks of acupuncture treatment was insignificant(p>0.05). DITI results improved after 4 weeks of acupuncture treatment. But the change of thermal difference was insignificant(p>0.05).

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Prediction of Cognitive Ability Utilizing a Machine Learning approach based on Digital Therapeutics Log Data

  • Yeojin Kim;Jiseon Yang;Dohyoung Rim;Uran Oh
    • International journal of advanced smart convergence
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    • v.12 no.2
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    • pp.17-24
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    • 2023
  • Given the surge in the elderly population, and increasing in dementia cases, there is a growing interest in digital therapies that facilitate steady remote treatment. However, in the cognitive assessment of digital therapies through clinical trials, the absence of log data as an essential evaluation factor is a significant issue. To address this, we propose a solution of utilizing weighted derived variables based on high-importance variables' accuracy in log data utilization as an indirect cognitive assessment factor for digital therapies. We have validated the effectiveness of this approach using machine learning techniques such as XGBoost, LGBM, and CatBoost. Thus, we suggest the use of log data as a rapid and indirect cognitive evaluation factor for digital therapy users.

A Study on the Temperature Controlling of Driving Algorithm for the Electronic Shutter by the Laser Beam (레이저빔에 의한 전자셔터 구동 알고리즘의 온도제어에 관한 연구)

  • Lee, Young-Wook
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.4 s.36
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    • pp.87-92
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    • 2005
  • This study showed the possibility of the medical treatment by thermal feedback as the laser medical treatment had given by design of the digital I/O interfaces of the electronic shutter to control the laser beam and the temperature controlled algorithm. The electronic shutter is economical and that is designed to be automatically controlled within the range of an extent temperature by such development of its driving interfaces and the controlled algorithm of the electronic shutter. The possibility of local therapy for the patients by the treatment of the laser beam within an extent temperature controlled, is proposed by improvement of the problems on the current treatment methods such as radiotherapy, high frequency treatment or medical therapy of drug stuffs which even kill the normal cells.

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Analysis of the Status of Artificial Medical Intelligence Technology Based on Big Data

  • KIM, Kyung-A;CHUNG, Myung-Ae
    • Korean Journal of Artificial Intelligence
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    • v.10 no.2
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    • pp.13-18
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    • 2022
  • The role of artificial medical intelligence through medical big data has been focused on data-based medical device business and medical service technology development in the field of diagnostic examination of the patient's current condition, clinical decision support, and patient monitoring and management. Recently, with the 4th Industrial Revolution, the medical field changed the medical treatment paradigm from the method of treatment based on the knowledge and experience of doctors in the past to the form of receiving the help of high-precision medical intelligence based on medical data. In addition, due to the spread of non-face-to-face treatment due to the COVID-19 pandemic, it is expected that the era of telemedicine, in which patients will be treated by doctors at home rather than hospitals, will soon come. It can be said that artificial medical intelligence plays a big role at the center of this paradigm shift in prevention-centered treatment rather than treatment. Based on big data, this paper analyzes the current status of artificial intelligence technology for chronic disease patients, market trends, and domestic and foreign company trends to predict the expected effect and future development direction of artificial intelligence technology for chronic disease patients. In addition, it is intended to present the necessity of developing digital therapeutics that can provide various medical services to chronically ill patients and serve as medical support to clinicians.

Ensemble Deep Learning Model using Random Forest for Patient Shock Detection

  • Minsu Jeong;Namhwa Lee;Byuk Sung Ko;Inwhee Joe
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.4
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    • pp.1080-1099
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    • 2023
  • Digital healthcare combined with telemedicine services in the form of convergence with digital technology and AI is developing rapidly. Digital healthcare research is being conducted on many conditions including shock. However, the causes of shock are diverse, and the treatment is very complicated, requiring a high level of medical knowledge. In this paper, we propose a shock detection method based on the correlation between shock and data extracted from hemodynamic monitoring equipment. From the various parameters expressed by this equipment, four parameters closely related to patient shock were used as the input data for a machine learning model in order to detect the shock. Using the four parameters as input data, that is, feature values, a random forest-based ensemble machine learning model was constructed. The value of the mean arterial pressure was used as the correct answer value, the so called label value, to detect the patient's shock state. The performance was then compared with the decision tree and logistic regression model using a confusion matrix. The average accuracy of the random forest model was 92.80%, which shows superior performance compared to other models. We look forward to our work playing a role in helping medical staff by making recommendations for the diagnosis and treatment of complex and difficult cases of shock.

Changes of Facial Temperature and Blood Flow Rates by Treatment of Miso Facial Rejuvenation Acupuncture (미소안면침이 안면 피부 온도와 혈류량에 미치는 영향)

  • Kim, Tae Yeon;Bak, Jong Phil;Kim, Yong Min
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.27 no.4
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    • pp.481-486
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    • 2013
  • To investigate the effects of facial temperature and blood flow rates generated by Miso Facial Rejuvenation Acupuncture treatment. Ten women in their twenties to fifties with no skin diseases were recruited. Miso Facial Rejuvenation Acupuncture(MFRA) was performed on the both sides of their face. We measured their facial temperature using Digital Infrared Thermal Imaging(DITI) and blood flow rates using Laser Doppler Perfusion Imaging(LDPI) at pre-treatment, immediately, twenty and sixty minutes after treatment. We analyzed data using student's t-test(p<0.05). After MFRA treatment, facial temperature on the measurement area increased immediately from $30.5{\pm}1.0^{\circ}C$ to $31.5{\pm}1.0^{\circ}C$, a statistically significant increase. Sixty minutes after treatment, facial temperature on the measurement area decreased a little bit($30.2{\pm}0.6^{\circ}C$), but there was no statistical significance. After MFRA treatment, facial blood flow rates on the measurement area increased immediately from $165.1{\pm}52.3$ PU to $342.7{\pm}51.3$ PU, a statistically significant increase. Sixty minutes after treatment, facial blood flow rates measurement area were recovered almost at the same level as before treatment. MFRA treatment could increase facial temperature and blood flow rates.