Telemedicine service receives scholarship to further technology

2011 ◽  
Vol 23 (2) ◽  
pp. 5-5
Keyword(s):  
Telemedicine Service

How to create a telemedicine service: telemedicine heptagon

2014 ◽  
Vol 99 (791) ◽  
pp. 44-45 ◽  
Author(s):  
Isaac E. Kuzmar ◽  
Mercedes Rizo ◽  
Ernesto Cortés
Keyword(s):  
Telemedicine Service

scholarly journals 124. Six-year Longitudinal Analysis of an Inpatient Infectious Diseases Telemedicine Service at a Community Hospital

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S191-S192
Author(s):  
Nupur Gupta ◽  
Adit B Sanghvi ◽  
John Mellors ◽  
Rima Abdel-Massih
Keyword(s):  
Infectious Disease ◽  
Tertiary Care ◽  
Medical Officer ◽  
Rural Hospital ◽  
Hospital Length Of Stay ◽  
Observation Study ◽  
Patient Acuity ◽  
Telemedicine Service ◽  
Tertiary Care Centers ◽  
Over Time

Abstract Background Telemedicine (TM) has emerged as a viable solution to extend infectious disease (ID) expertise to communities without access to this specialty.1 TM allows clinicians in rural settings to connect with specialists at distant sites and provide the best care for their patients, often eliminating the need for hospital transfers. Here, we describe the experience from one of the longest standing inpatient Tele-ID consult services using live audio-video (AV) visits with the assistance of a telepresenter. Methods Longitudinal data were collected from a 126-bed rural hospital in Pennsylvania that had no access to ID consultation before 2014. Live AV consults during business hours began in 2014 and telephonic physician to physician consults were made available 24/7. All ID consult data were extracted from the hospital electronic health record between 2014 to 2019. Key outcomes assessed included the number of consult encounters, total hospital length of stay (LOS), discharges to home, transfer to tertiary care centers, and readmission rates at 30 days. Results Most consulted patients were Caucasians, and females with an average age of 64.7 years (Table 1). The number of unique consult encounters increased annually from 111 in 2014 to 469 in 2019 (Table 1). The Charlson Comorbidity Score and Elixhauser Comorbidity Index also increased each year beginning in 2016 (Table 1). By contrast, LOS decreased each year as did the 30-day readmission rate (Table 2). Most patients were not transferred (average 89.4% over 6 years) to tertiary care centers and more than half were discharged to home each year (Table 2). Conclusion This longitudinal 6-year observation study of an inpatient TM ID service at a rural hospital showed remarkable annual growth in consult encounters (total growth >400%). Despite increasing patient acuity, overall hospital LOS decreased over time (10.2 to 8.2 days). Patient transfers to tertiary care centers remained low (average 10.5% over 6 years) as did 30-day readmissions (average 16.3% over 6 years). The majority of patients were discharged to home (average 61.3% over 6 years). These findings show that a rural inpatient TM ID consult service can expand over time and is an effective alternative for hospitals without access to ID expertise. Disclosures John Mellors, MD, Abound Bio (Shareholder)Accelevir Diagnostics (Consultant)Co-Crystal Pharmaceuticals (Shareholder)Gilead (Consultant, Grant/Research Support)Merck (Consultant) Rima Abdel-Massih, MD, Infectious Disease Connect (Shareholder, Other Financial or Material Support, Chief Medical Officer)

scholarly journals TELEMEDICINE IN IBD: GOOD TRUST FROM OUTPATIENTS DURING THE COVID-19 PANDEMIC IN MILAN (LOMBARDY)

2021 ◽  
Vol 27 (Supplement_1) ◽  
pp. S51-S51
Author(s):  
Andrea Costantino ◽  
Daniele Noviello ◽  
Stefano Mazza ◽  
Roberto Berté ◽  
Maurizio Vecchi ◽  
...  
Keyword(s):  
Primary Endpoint ◽  
Assessment Tool ◽  
Healthcare Providers ◽  
Telemedicine Service ◽  
Moderate Disease ◽  
Video Consultation ◽  
K Current ◽  
Remote Assistance ◽  
Video Calling

Abstract Background and Aim During the recent COVID-19 pandemic, telemedicine has enabled many IBD patients worldwide to get access to remote assistance. Some positive reports on the use of telemedicine among patients and healthcare providers have been published1-4, but a patient’s trust perspective is not available yet. The aim of our study was to verify IBD patients’ trust in telemedicine. This study was approved by our local Ethics Committee. Material and Methods At our Gastroenterology Unit in Milan (Italy), 123 video-consultations were delivered to IBD patients with mild or moderate disease, in place of follow-up visits scheduled but not provided during the general lockdown (March-April 2020). Video-calling solutions from Google (Hangouts or Meet) or Microsoft Teams were used according to the patient’s preference. The patients’ trust in telemedicine was assessed through an adapted version of the PAtient Trust Assessment Tool (PATAT) questionnaire.5 The primary endpoint was expressed as a >75% percentage of patients giving a score of at least 4 out of 5 in a Likert Scale for three selected key statements: “I can trust video-consultation”, “I can trust that possible problems with the telemedicine service will be solved properly” and “I feel at ease when working with this website”. The questionnaire was formulated through the EUSurvey platform, widely used for clinical research questionnaires in Europe. Results One-hundred-fifteen (93.4%) video-consultations were performed out of the 123 scheduled. Among the 115 consultations, 100 questionnaires were completed (86.9%). The primary endpoint of trust in the telemedicine service was achieved in 95%, 90% and 84% of patients for the three selected key statements about the trust in the telemedicine service, its capability to solve clinical problems and its ease to use. While clinical outcomes were beyond our intentions, we reported no drugs withdrawal in this cohort nor major events. Conclusion Our results showed that during the COVID-19 pandemic most of our IBD patients accepted to receive a video-consultation in spite of the traditional in-person visit and trusted the video-consultation. References: 1. Bezzio C. et al. Gut 2020;69:1213–1217 2. George L.A., Raymond K. Current Gastroenterology Reports (2020) 22: 12 3. Lees C. W. et al. Gastroenterology 2020; 2020 May 28 4. Allocca M et al. Clin Gastroenterol Hepatol 2020;18:1882–1883 5. Velsen, L. V. et al, H. Int. J. Med. Inform 2017;97:52–58.

Ease in Emergency Hospital Visits Due to Covid-19 Following Implementation of a Telemedicine Service in Ceará, Brazil

2021 ◽  
Author(s):  
Antonia Célia de Castro Alcântara ◽  
Hermano Alexandre Lima Rocha ◽  
Caroline Calisto da Silva ◽  
Sabrina Gabriele Maia Oliveira Rocha ◽  
Danielle Leite Cunha de Queiroz ◽  
...  
Keyword(s):  
Telemedicine Service ◽  
Emergency Hospital ◽  
Hospital Visits

Telemedicine in pediatric and perinatal cardiology: Economic evaluation of a service in English hospitals

2007 ◽  
Vol 23 (1) ◽  
pp. 116-125 ◽  
Author(s):  
Robin Dowie ◽  
Hema Mistry ◽  
Tracey A. Young ◽  
Gwyn C. Weatherburn ◽  
Helena M. Gardiner ◽  
...  
Keyword(s):  
Older Children ◽  
Telemedicine Service ◽  
Clinical Events ◽  
District Hospitals ◽  
Nonsignificant Difference ◽  
Patient Groups ◽  
Women And Children ◽  
The Difference ◽  
Set Up ◽  
Mean Cost

Objectives:Pediatric cardiology has an expanding role in fetal and pediatric screening. The aims of this study were to observe how district hospitals use a pediatric telecardiology service, and to compare the costs and outcomes of patients referred to specialists by means of this service or conventionally.Methods:A telemedicine service was set up between a pediatric cardiac center in London and four district hospitals for referrals of second trimester women, newborn babies, and older children. Clinicians in each hospital decided on the role for their service. Clinical events were audited prospectively and costed, and patient surveys were conducted.Results:The hospitals differed in their selection of patient groups for the service. In all, 117 telemedicine patients were compared with 387 patients seen in London or in outreach clinics. Patients selected for telemedicine were generally healthier. For all patients, the mean cost for the initial consultation was £411 for tele-referrals and £277 for conventional referrals, a nonsignificant difference. Teleconsultations for women and children were significantly more expensive because of technology costs, whereas for babies, ambulance transfers were much more costly. After 6-months follow-up, the difference between referral methods for all patients was nonsignificant (telemedicine, £3,350; conventional referrals, £2,172), and nonsignificant within the patient groups.Conclusions:Telemedicine was perceived by cardiologists, district clinicians, and families as reliable and efficient. The equivocal 6-month cost results indicate that investment in the technology is warranted to enhance pediatric and perinatal cardiology services.

The EU-project United4Health: User-centred design of an information system for a Norwegian telemedicine service

2016 ◽  
Vol 22 (7) ◽  
pp. 422-429 ◽  
Author(s):  
Berglind Smaradottir ◽  
Martin Gerdes ◽  
Santiago Martinez ◽  
Rune Fensli
Keyword(s):  
Information System ◽  
Telemedicine Service ◽  
User Centred Design ◽  
Eu Project ◽  
The Eu

scholarly journals Connecting Hospitalized Patients with Their Families: Case Series and Commentary

2011 ◽  
Vol 2011 ◽  
pp. 1-7
Author(s):  
Kourosh Parsapour ◽  
Alexander A. Kon ◽  
Madan Dharmar ◽  
Amy K. McCarthy ◽  
Hsuan-Hui Yang ◽  
...  
Keyword(s):  
Close Contact ◽  
Case Series ◽  
Retrospective Chart Review ◽  
Family Satisfaction ◽  
Hospital Length ◽  
Hospitalized Patients ◽  
Patient Centered ◽  
Family Presence ◽  
Telemedicine Service ◽  
Personal Cost

The overall aim of this project was to ascertain the utilization of a custom-designed telemedicine service for patients to maintain close contact (via videoconference) with family and friends during hospitalization. We conducted a retrospective chart review of hospitalized patients (primarily children) with extended hospital length of stays. Telecommunication equipment was used to provide videoconference links from the patient's bedside to friends and family in the community. Thirty-six cases were managed during a five-year period (2006 to 2010). The most common reasons for using Family-Link were related to the logistical challenges of traveling to and from the hospital—principally due to distance, time, family commitments, and/or personal cost. We conclude that videoconferencing provides a solution to some barriers that may limit family presence and participation in care for hospitalized patients, and as a patient-centered innovation is likely to enhance patient and family satisfaction.

scholarly journals Treatment seeking patterns of the COVID-19 first wave patients: a narrative study from Dhaka, Bangladesh

2021 ◽  
Vol 8 (10) ◽  
pp. 4648
Author(s):  
Nahida Sultana Kazi ◽  
Shahedul Halim Kazi
Keyword(s):  
Public Awareness ◽  
Treatment Seeking ◽  
Pharmaceutical Drugs ◽  
Structured Interviews ◽  
Health Seeking ◽  
Telemedicine Service ◽  
New Era ◽  
Narrative Study ◽  
Current Article ◽  
Treatment Procedures

Background: The COVID-19 has already taken the lives of 4,088,281 people worldwide. To date, the deadly virus has killed 17,894 people in Bangladesh following a sharp increase in death per day. The current article focuses on the treatment-seeking patterns of COVID-19 patients during the first wave of the pandemic in the country. Methods: This is a qualitative study based on semi-structured interviews with 30 respondents selected purposively. The interviews were transcribed verbatim and analyzed narratively. Results: The study shows that 28 out of 30 participants pursued treatments from home, whilst, two individuals with comorbidity got admitted to the hospitals for weeks. This indicates that there is an association between comorbidity and hospitalization of the COVID-19 patients. The study reveals that the use of telemedicine service amidst COVID-19 has initiated a new era of health-seeking among people in Bangladesh. Similarly, media and the internet played a significant role in the quick access to information about the pandemic as well as to decide on the response and healing patterns of the participants. Besides the pharmaceutical drugs, using herbs was a common remedial process among the patients in the study. Conclusions: Like other countries, people in Bangladesh are also puzzled about the coronavirus and its treatment procedures. A proper response to the current situation, an effective preparedness policy, and public awareness are crucial for tackling the further destruction resulting from a highly infectious disease. 

scholarly journals IMPLEMENTASI ALGORITMA NAÏVE BAYES CLASSIFIER DAN SUPPORT VECTOR MACHINE PADA KLASIFIKASI SENTIMEN REVIEW LAYANAN TELEMEDICINE HALODOC

2021 ◽  
Vol 2 (2) ◽  
pp. 96-104
Author(s):  
REYNALDA NABILA CIKANIA
Keyword(s):  
Support Vector Machine ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Support Vector ◽  
Naive Bayes Classifier ◽  
Bayes Classifier ◽  
Naïve Bayes Classifier ◽  
Telemedicine Service ◽  
Application Service ◽  
Auc Value

Halodoc is a telemedicine-based healthcare application that connects patients with health practitioners such as doctors, pharmacies, and laboratories. There are some comments from halodoc users, both positive and negative comments. This indicates the public's concern for the Halodoc application so it is necessary to analyze the sentiment or comments that appear on the Halodoc application service, especially during the COVID-19 pandemic in order for Halodoc application services to be better. The Naïve Bayes Classifier (NBC) and Support Vector Machine (SVM) algorithms are used to analyze the public sentiment of Halodoc's telemedicine service application users. The negative category sentiment classification result was 12.33%, while the positive category sentiment was 87.67% from 5,687 reviews which means that the positive review sentiment is more than the negative review sentiment. The accuracy performance of the Naive Bayes Classifier Algorithm resulted in an accuracy rate of 87.77% with an AUC value of 57.11% and a G-Mean of 40.08%, while svm algorithm with KERNEL RBF had an accuracy value of 86.1% with an AUC value of 60.149% and a G-Mean value of 49.311%. Based on the accuracy value of the model can be known SVM Kernel RBF model better than NBC on classifying the review of user sentiment of halodoc telemedicine service

scholarly journals Predictive Modeling for Telemedicine Service Demand

2020 ◽  
Vol 5 ◽  
Author(s):  
Agni Kumar ◽  
Nancy Hung ◽  
Yuhan Wu ◽  
Robyn Baek ◽  
Amar Gupta
Keyword(s):  
Predictive Modeling ◽  
Telemedicine Service ◽  
Service Demand
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