Statins Tied to Few Hospital Visits for Asthma

2009 ◽  
Vol 42 (9) ◽  
pp. 26
Author(s):  
Kerri Wachter
Keyword(s):  
2019 ◽  
Vol 7 (1) ◽  
pp. 5-10
Author(s):  
Saman Shahid ◽  
Saima Zafar ◽  
Mansoor Imam ◽  
Muhammad Usman Chishtee ◽  
Haris Ehsan

There is an increased prevalence of heart diseases in developing countries and continuous monitoring of heart beats is very much important to reduce hospital visits, health costs and complications. The Internet of Things (IoT) equipped with microcontrollers and sensors can give an easy and cost-effective remote health monitoring. We developed a Heart Beat monitoring module based on an android application. The software involved was the Android Application developed using Android Studio, which is the Integrated Development Environment (IDE). This app retrieved the data from the open IoT platform thingspeak.com. A highly sensitive Pulse Sensor was used to measure the heartbeat of the patient automatically. An Arduino Uno microcontroller interfaced with a Wi-Fi module ESP8266 used to transmit pulse reading over the internet using Wi-Fi. The heartbeat was displayed on the LCD of the patient in run-time. The heartbeat in beats per minute (BPM) was plotted against time (minutes). A mounted pulse sensor to the patient had monitored the heartbeat and transmitted it in the form of voltage signal to the microcontroller, which converted it back into a mathematical value. The Arduino transmitted the data onto the thingspeak.com portal, where it was plotted on a graph and the values were stored for future assessment. The user of the app was given a things peak API and the channel number as an access code, through which physician or nurse can accessed the patient’s data. IoT based heartbeat module as an android application can provide a convenient, cost effective and continuous remote measurements for heart patients to help physicians and nurses update. This app can reduce the burden of hospital visits or admissions for elderly patients.


Author(s):  
Orla Fitzpatrick ◽  
Roisin Ní Dhonaill ◽  
Anna Linehan ◽  
Zac Coyne ◽  
Maeve Hennessy ◽  
...  

Abstract Background The first confirmed case of COVID-19 in Ireland was on February 29th 2020. From March until late April, the number of cases increased exponentially. The delivery of anti-cancer therapy during the COVID-19 pandemic was extremely challenging. In order to balance the benefits of continuing anti-cancer therapy with the associated increased hospital visits, combined with the risk of COVID-19 infection, we undertook a series of system changes in the delivery of cancer care. Methods Patients who attended our dayward over a 4-month period were included. Data were obtained from patient and chemotherapy prescribing records. Patients were screened for symptoms of COVID-19 at two separate timepoints: prior to their visit via telephone, and using a symptom questionnaire on arrival at the hospital. If patients displayed COVID-19 symptoms, they were isolated and a viral swab arranged. Results A total of 456 patients attended from January 1st to April 30th. The numbers of visits from January to April were 601, 586, 575, and 607, respectively. During this period, there were 2369 patient visits to the dayward and 1953 (82%) intravenous regimens administered. Of the 416 visits that did not lead to treatment, 114 (27%) were scheduled non-treatment review visits, 194 (47%) treatments were held due to disease-related illness, and 108 (26%) treatments were held due to treatment-related complications. Screening measurements were implemented on March 18th due to rising COVID-19 prevalence in the general population. Overall, 53 treatments were held due to the screening process: 19 patients (36%) elicited COVID-19 symptoms via telephone screening; 34 patients (64%) were symptomatic in our pre-assessment area and referred for swabs, of which 4 were positive. Those with a negative swab were rescheduled for chemotherapy the following week. Conclusions With careful systematic changes, safe and continued delivery of systemic anti-cancer therapy during the COVID-19 pandemic is possible.


Author(s):  
Li Niu ◽  
Maria Teresa Herrera ◽  
Blean Girma ◽  
Bian Liu ◽  
Leah Schinasi ◽  
...  

Author(s):  
Xianda Chen ◽  
Yifei Xiao ◽  
Yeming Tang ◽  
Julio Fernandez-Mendoza ◽  
Guohong Cao

Sleep apnea is a sleep disorder in which breathing is briefly and repeatedly interrupted. Polysomnography (PSG) is the standard clinical test for diagnosing sleep apnea. However, it is expensive and time-consuming which requires hospital visits, specialized wearable sensors, professional installations, and long waiting lists. To address this problem, we design a smartwatch-based system called ApneaDetector, which exploits the built-in sensors in smartwatches to detect sleep apnea. Through a clinical study, we identify features of sleep apnea captured by smartwatch, which can be leveraged by machine learning techniques for sleep apnea detection. However, there are many technical challenges such as how to extract various special patterns from the noisy and multi-axis sensing data. To address these challenges, we propose signal denoising and data calibration techniques to process the noisy data while preserving the peaks and troughs which reflect the possible apnea events. We identify the characteristics of sleep apnea such as signal spikes which can be captured by smartwatch, and propose methods to extract proper features to train machine learning models for apnea detection. Through extensive experimental evaluations, we demonstrate that our system can detect apnea events with high precision (0.9674), recall (0.9625), and F1-score (0.9649).


Author(s):  
Josep Vidal-Alaball ◽  
Jordi Franch-Parella ◽  
Francesc Lopez Seguí ◽  
Francesc Garcia Cuyàs ◽  
Jacobo Mendioroz Peña

This retrospective study evaluates the effect of a telemedicine program developed in the central Catalan region in lowering the environmental footprint by reducing the emission of atmospheric pollutants, thanks to a reduction in the number of hospital visits involving journeys by road. Between January 2018 and June 2019, a total of 12,322 referrals were made to telemedicine services in the primary care centers, avoiding a total of 9034 face-to-face visits. In total, the distance saved was 192,682 km, with a total travel time saving of 3779 h and a total fuel reduction of 11,754 L with an associated cost of €15,664. This represents an average reduction of 3248.3 g of carbon dioxide, 4.05 g of carbon monoxide, 4.86 g of nitric oxide and 3.2 g of sulphur dioxide. This study confirms that telemedicine reduces the environmental impact of atmospheric pollutants emitted by vehicles by reducing the number of journeys made for face-to-face visits, and thus contributing to environmental sustainability.


1998 ◽  
Vol 11 (6) ◽  
pp. 1301-1306 ◽  
Author(s):  
H. Tanaka ◽  
S. Honma ◽  
M. Nishi ◽  
T. Igarashi ◽  
S. Teramoto ◽  
...  

2009 ◽  
Vol 26 (2) ◽  
pp. 355-363 ◽  
Author(s):  
James E. Signorovitch ◽  
Mei Sheng Duh ◽  
Anirban Sengupta ◽  
Anna Gu ◽  
Richard Grant ◽  
...  

1970 ◽  
Vol 15 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Wilfred A. Cassell ◽  
Colin M. Smith ◽  
Maggie Grandy Rankin

This study has examined the nature and extent of services provided to psychiatric patients under ‘Medicare’. An analysis of the records of 864,128 residents of Saskatchewan revealed that in 1965, 13,950 males and 27,009 females received a psychiatric diagnosis from physicians in private practice. Psychoneurotic conditions were frequent. General practitioners provided the majority of treatment services for this group. Physicians practising in urban areas were found to complete more psychiatric treatment than their rural counterparts. Female patients were found to receive relatively more psychiatric care than males. The latter obtained more consultations, hospital visits and somatic investigations. Lastly, the rate of service was infrequent, averaging less than one treatment session per patient.


2006 ◽  
Vol 370 (2-3) ◽  
pp. 330-336 ◽  
Author(s):  
Wei Zhong ◽  
Linda Levin ◽  
Tiina Reponen ◽  
Gurjit K. Hershey ◽  
Atin Adhikari ◽  
...  

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