IoT-Based Smart Health Monitoring System for COVID-19 Patients.

During the ongoing COVID-19 pandemic, Internet of Things- (IoT-) based health monitoring systems are potentially immensely beneficial for COVID-19 patients. This study presents an IoT-based system that is a real-time health monitoring system utilizing the measured values of body temperature, pulse rate, and oxygen saturation of the patients, which are the most important measurements required for critical care. This system has a liquid crystal display (LCD) that shows the measured temperature, pulse rate, and oxygen saturation level and can be easily synchronized with a mobile application for instant access. The proposed IoT-based method uses an Arduino Uno-based system, and it was tested and verified for five human test subjects. The results obtained from the system were promising: the data acquired from the system are stored very quickly. The results obtained from the system were found to be accurate when compared to other commercially available devices. IoT-based tools may potentially be valuable during the COVID-19 pandemic for saving people's lives.

Real-time burn depth assessment using artificial networks: a large-scale, multicentre study.

INTRODUCTION: Early judgment of the depth of burns is very important for the accurate formulation of treatment plans. In medical imaging the application of Artificial Intelligence has the potential for serving as a very experienced assistant to improve early clinical diagnosis. Due to lack of large volume of a particular feature, there has been almost no progress in burn field. METHODS: 484 early wound images are collected on patients who discharged home after a burn injury in 48 h, from five different levels of hospitals in Hunan Province China. According to actual healing time, all images are manually annotated by five professional burn surgeons and divided into three sets which are shallow(0-10 days), moderate(11-20 days) and deep(more than 21 days or skin graft healing). These ROIs were further divided into 5637 patches sizes 224 × 224 pixels, of which 1733 shallow, 1804 moderate, and 2100 deep. We used transfer learning suing a Pre-trained ResNet50 model and the ratio of all images is 7:1.5:1.5 for training:validation:test. RESULTS: A novel artificial burn depth recognition model based on convolutional neural network was established and the diagnostic accuracy of the three types of burns is about 80%. DISCUSSION: The actual healing time can be used to deduce the depth of burn involvement. The artificial burn depth recognition model can accurately infer healing time and burn depth of the patient, which is expected to be used for auxiliary diagnosis improvement.

A Markov approach for increasing precision in the assessment of data-intensive behavioral interventions.

Health interventions using real-time sensing technology are characterized by intensive longitudinal data, which has the potential to enable nuanced evaluations of individuals' responses to treatment. Existing analytic tools were not developed to capitalize on this opportunity as they typically focus on first-order findings such as changes in the level and/or slope of outcome variables over different intervention phases. This paper introduces an exploratory, Markov-based empirical transition method that offers a more comprehensive assessment of behavioral responses when intensive longitudinal data are available. The procedure projects a univariate time-series into discrete states and empirically determines the probability of transitioning from one state to another. State transition probabilities are summarized separately in phase-specific transition matrices. Comparing transition matrices illuminates intricate, quantifiable differences in behavior between intervention phases. Statistical significance is estimated via bootstrapping techniques. This paper introduces the methodology via three case studies from a secondhand smoke reduction trial utilizing real-time air particle sensors. Analysis enabled the identification of complex phenomena such as avoidance and escape behavior in response to punitive contingencies for tobacco use. Additionally, the largest changes in behavior dynamics were associated with the introduction of behavioral feedback. The Markov approach's ability to elucidate subtle behavioral details has not typically been feasible with standard methodologies, mainly due to historical limitations associated with infrequent repeated measures. These results suggest that the evaluation of intervention effects in data-intensive single-case designs can be enhanced, providing rich information that can ultimately be used to develop interventions uniquely tailored to specific individuals.

Service provision, pricing, and patient satisfaction in online health communities.

Background The emergence of online health communities (OHCs) broadens and diversifies channels for patient-doctor interaction. In recent times, patient satisfaction has gained new attention within the context of OHCs where unique patterns are provided: a variety of services with unique attributes are available in OHCs for patients and doctors have the options of providing and pricing for different services. OHCs are given high hopes on improving medical efficiency and patient satisfaction. Knowing how these patterns in OHCs affect patient satisfaction is crucial for the development of OHCs and medical practices. METHODS: An empirical research is conducted to examine the effects of provision and pricing of online services on patient satisfaction by analyzing data from 2309 doctors in a Chinese OHC. RESULTS: The results from this study provided empirical support, suggesting that service quantity positively influenced patient satisfaction. A non-linear correlation between service price and satisfaction was explored and results suggested an inverted U-shaped relationship. At the low price level, service price led to an increase in patient satisfaction, whereas the high price level (over 330 CNY/US$49) could have just the opposite effect. Importantly, we found that price difference between a doctor's different services significantly decreased patient satisfaction. A mediating effect was tested in post-hoc analyses, and results revealed that the impact of price difference on patient satisfaction was partially mediated by flexibility of service selection, and the mediating effect accounted for 28.6% of the total effect. CONCLUSIONS: Our results indicate that patient satisfaction can be improved by effectively providing and pricing services in OHCs. Specifically, doctors can offer different type services and charge within a reasonable range.

Adaptive Resource Utilization Prediction System for Infrastructure as a Service Cloud.

Infrastructure as a Service (IaaS) cloud provides resources as a service from a pool of compute, network, and storage resources. Cloud providers can manage their resource usage by knowing future usage demand from the current and past usage patterns of resources. Resource usage prediction is of great importance for dynamic scaling of cloud resources to achieve efficiency in terms of cost and energy consumption while keeping quality of service. The purpose of this paper is to present a real-time resource usage prediction system. The system takes real-time utilization of resources and feeds utilization values into several buffers based on the type of resources and time span size. Buffers are read by R language based statistical system. These buffers' data are checked to determine whether their data follows Gaussian distribution or not. In case of following Gaussian distribution, Autoregressive Integrated Moving Average (ARIMA) is applied; otherwise Autoregressive Neural Network (AR-NN) is applied. In ARIMA process, a model is selected based on minimum Akaike Information Criterion (AIC) values. Similarly, in AR-NN process, a network with the lowest Network Information Criterion (NIC) value is selected. We have evaluated our system with real traces of CPU utilization of an IaaS cloud of one hundred and twenty servers.

PRISM: A DATA-DRIVEN PLATFORM FOR MONITORING MENTAL HEALTH.

Neuropsychiatric disorders are the leading cause of disability worldwide and there is no gold standard currently available for the measurement of mental health. This issue is exacerbated by the fact that the information physicians use to diagnose these disorders is episodic and often subjective. Current methods to monitor mental health involve the use of subjective DSM-5 guidelines, and advances in EEG and video monitoring technologies have not been widely adopted due to invasiveness and inconvenience. Wearable technologies have surfaced as a ubiquitous and unobtrusive method for providing continuous, quantitative data about a patient. Here, we introduce PRISM-Passive, Real-time Information for Sensing Mental Health. This platform integrates motion, light and heart rate data from a smart watch application with user interactions and text entries from a web application. We have demonstrated a proof of concept by collecting preliminary data through a pilot study of 13 subjects. We have engineered appropriate features and applied both unsupervised and supervised learning to develop models that are predictive of user-reported ratings of their emotional state, demonstrating that the data has the potential to be useful for evaluating mental health. This platform could allow patients and clinicians to leverage continuous streams of passive data for early and accurate diagnosis as well as constant monitoring of patients suffering from mental disorders.

Dental radiography in New Zealand: digital versus film.

UNLABELLED: Digital x-ray systems offer advantages over conventional film systems, yet many dentists have not adopted digital technology. OBJECTIVES: To assess New Zealand dental practitioners' use of--and preferences for--dental radiography systems. DESIGN: Cross-sectional survey. SETTING: General and specialist dental practice. PARTICIPANTS AND METHODS: Postal questionnaire survey of a sample of 770 dentists (520 randomly selected general dental practitioners and all 250 specialists) listed in the 2012 NZ Dental Council Register. MAIN OUTCOME MEASURES: Type of radiography systems used by dentists. Dentists' experiences and opinions of conventional film and digital radiography. RESULTS: The participation rate was 55.2%. Digital radiography systems were used by 58.0% of participating dentists, most commonly among those aged 31-40 years. Users of digital radiography tended to report greater satisfaction with their radiography systems than users conventional films. Two-thirds of film users were interested in switching to digital radiography in the near future. Reasons given by conventional film users for not using digital radiography included cost, difficulty in integrating with other software systems, concern about potential technical errors, and the size and nature of the intra-oral sensors. CONCLUSION: Many dental practitioners have still not adopted digital radiography, yet its users are more satisfied with their radiography systems than are conventional film users. The latter may find changing to a digital system to be satisfying and rewarding.

e-Monitoring of Asthma Therapy to Improve Compliance in children using a real-time medication monitoring system (RTMM): the e-MATIC study protocol.

BACKGROUND: Many children with asthma do not have sufficient asthma control, which leads to increased healthcare costs and productivity loss of parents. One of the causative factors are adherence problems. Effective interventions improving medication adherence may therefore improve asthma control and reduce costs. A promising solution is sending real time text-messages via the mobile phone network, when a medicine is about to be forgotten. As the effect of real time text-messages in children with asthma is unknown, the primary aim of this study is to determine the effect of a Real Time Medication Monitoring system (RTMM) with text-messages on adherence to inhaled corticosteroids (ICS). The secondary objective is to study the effects of RTMM on asthma control, quality of life and cost-effectiveness of treatment. METHODS: A multicenter, randomized controlled trial involving 220 children (4-11 years) using ICS for asthma. All children receive an RTMM-device for one year, which registers time and date of ICS doses. Children in the intervention group also receive tailored text-messages, sent only when a dose is at risk of omission. Primary outcome measure is the proportion of ICS dosages taken within the individually predefined time-interval. Secondary outcome measures include asthma control (monthly Asthma Control Tests), asthma exacerbations, healthcare use (collected from hospital records, patient reports and pharmacy record data), and disease-specific quality of life (PAQLQ questionnaire). Parental and children's acceptance of RTMM is evaluated with online focus groups and patient questionnaires. An economic evaluation is performed adopting a societal perspective, including relevant healthcare costs and parental productivity loss. Furthermore, a decision-analytic model is developed in which different levels of adherence are associated with clinical and financial outcomes. Also, sensitivity analyses are carried out on different price levels for RTMM. DISCUSSION: If RTMM with tailored text-message reminders proves to be effective, this technique can be used in daily practice, which would support children with suboptimal adherence in their asthma (self)management and in achieving better asthma control and better quality of life. TRIAL REGISTRATION: Netherlands Trial Register NTR2583.

Beyond computer literacy: supporting youth's positive development through technology.

In a digital era in which technology plays a role in most aspects of a child's life, having the competence and confidence to use computers might be a necessary step, but not a goal in itself. Developing character traits that will serve children to use technology in a safe way to communicate and connect with others, and providing opportunities for children to make a better world through the use of their computational skills, is just as important. The Positive Technological Development framework (PTD), a natural extension of the computer literacy and the technological fluency movements that have influenced the world of educational technology, adds psychosocial, civic, and ethical components to the cognitive ones. PTD examines the developmental tasks of a child growing up in our digital era and provides a model for developing and evaluating technology-rich youth programs. The explicit goal of PTD programs is to support children in the positive uses of technology to lead more fulfilling lives and make the world a better place. This article introduces the concept of PTD and presents examples of the Zora virtual world program for young people that the author developed following this framework.

Audio computer-assisted self-interviewing in reproductive health research: reliability assessment among women in Harare, Zimbabwe.

PURPOSE: Research on the measurement of HIV risk demonstrates that interview mode can affect reporting; however, few studies have applied these findings to assessments of hormonal contraceptive use. This paper examines how audio computer-assisted self-interviewing (ACASI) influenced reports of hormonal contraceptive use and pregnancy among Zimbabwean women. METHODS: Using a prospective, randomized, cross-over design, we compared self-reports obtained with ACASI and face-to-face (FTF) interview among 655 women enrolled in a prospective study on hormonal contraceptive use and HIV acquisition. In addition, self-report data were compared to those collected during clinical exams. RESULTS: Compared to FTF interviews, reports of hormonal contraceptive use were lower in ACASI [odds ratio (OR)=0.6; 95% confidence interval (95% CI)=0.5-0.6], and reports of pregnancy were higher (OR=1.5; 95% CI=1.1-1.9). Both modes of self-report differed from records on contraceptive method disbursement. CONCLUSION: Although ACASI yielded higher reports of several reproductive health behaviors, discrepancies between self-reports and clinical data on method disbursement highlight persistent measurement challenges.

Perceptions and attitudes of Canadian dentists toward digital and electronic technologies.

OBJECTIVES: To determine dentists" perceptions of the usefulness of digital technologies in improving dental practice and resolving practice issues; to determine dentists" willingness to use digital and electronic technologies; to determine perceived obstacles to the use of digital and electronic technologies in dental offices; and to determine dentists" attitudes toward Internet privacy issues. METHODS: An anonymous, self-administered survey of Canadian dentists was conducted by mail. A potential mailing list of 14,052 active Canadian dentists was compiled from the 2003 records of provincial regulatory bodies. For each province, 7.8% of the dentists were randomly selected with the help of computer software. The surveys were mailed to this stratified random sample of 1,096 dentists. RESULTS: The response rate was 28% (312/1,096). Of the 312 respondents, 4 (1%) were in full-time academic positions, 16 (5%) were not practising, and 9 (3%) provided incomplete data. Therefore, 283 survey responses were available for analysis. More than 60% of the dentists indicated that computer technology was quite capable or very capable of improving their current practice by increasing patient satisfaction, decreasing office expenses, increasing practice efficiency, increasing practice production, improving record quality and improving case diagnosis and treatment planning. More than 50% of respondents reported that digital photography and digital radiography were quite useful or very useful. About 70% of the dentists agreed or strongly agreed with using digital and electronic technologies to consult with dental specialists. Cost of equipment and lack of comfort with technology were regarded as significant or insurmountable obstacles by substantial proportions of respondents. CONCLUSIONS: Respondents generally viewed digital and electronic technologies as useful to the profession. Increased office efficiency and production were perceived as positive effects of digital and electronic technologies. These technologies are more often used for consulting with colleagues rather than for consulting with patients. The major obstacles to the general use of these technologies were related to cost, lack of comfort with technology and differences in legislation between provinces and countries. Privacy issues were not perceived as a significant barrier.

UMIN--current status and future perspectives.

UMIN, fully funded by the Japanese government, is the largest and most versatile public academic information center for biomedical sciences in the world, and is considered as indispensable information infrastructure for the Japanese medical community. As of April 1st 2004, all Japanese national universities, including UMIN, will be incorporated as independent administrative entities. After the incorporation, each national university will have authority to determine its own budget, organization, etc. by itself, and will also be able to carry out profit-making business related to its activities under certain constraints. Thus we suspect that UMIN will inevitably be faced with a strong demand to undertake profit-making business at an early stage. Even in this case, we believe that UMIN should continue to provide its information services to the Japanese medical community free of charge as it has done, utilizing earnings from its profit-making business that services commercial companies, because the success of UMIN has depended on the cooperation and sympathy of the community in the past, and will continue to do so.

Questionnaire survey on the use of computerisation in dental practices across the Thames Valley Region.

OBJECTIVES: To investigate the extent of and attitudes to computerisation in dental practices across the Thames Valley Strategic Health Authority Region. DESIGN: Postal questionnaire survey. RESULTS: A response rate of 88% was achieved. Most (77%) of the practices were using computerised systems or were planning to do so soon. The main reasons for not using computers were that computerisation was not currently necessary (56%), practice staff were reluctant to move to electronic systems (24%), or because computer systems were perceived as too expensive (19%). Computerised systems were used mainly for transmitting dental practice board data, or managing patient and financial records. Only 45% of practices had access to the internet and electronic mail (email). Forty-nine percent of practices thought that it was important to have access to email, 46% to the internet and 40% to NHSnet. Many practices requested training for staff in a variety of areas including managing databases and setting up web-sites. CONCLUSIONS: Despite the advantages of using computerised systems, many dental practices were only using them to a limited extent. Training and follow-up support may encourage dental practice teams to develop more positive attitudes towards computerisation and encourage them to use computers more extensively in clinical practice.

Systems factors in the reporting of serious medication errors in hospitals.

Underreporting of medication errors poses a threat to quality improvement initiatives. Hospital risk management programs encourage medication error reporting for effective management of systems failures. This study involved a survey of 156 medical-surgical hospitals in the United States to evaluate systems factors associated with the reporting of serious medication errors. Prior to controlling for bed size, a multivariate logistic regression model showed increased reporting of medication errors in hospitals with 24-h pharmacy services, presumably because of better error reporting systems. When number of occupied beds was included, the final model demonstrated bed size to be the only statistically significant factor. Increased reporting rates for serious medication errors warrant further evaluation, but higher error reporting may paradoxically indicate improved error surveillance. Results suggest that increased availability of pharmacist services results in opportunities for more diligent systematic efforts in detecting and reporting medication errors, which should lead to improved patient safety.

[Conception and data transfer analysis of an open-source digital image archive designed for radiology]. / Aufbau und Datentransferanalyse eines proprietären digitalen Open-Source-Bildarchivs für radiologische Dienstleistungen.

PURPOSE: Implementation of a self-designed, web-based digital image archive incorporating the existing DICOM infrastructure to assure distribution of digital pictures and reports and to optimize work flow. Assessment after three years. MATERIALS AND METHODS: Open-source software was used to guarantee highest reliability and cost effectiveness. In view of rapidly increasing capacity and decreasing costs of hard discs (HDs), HDs were preferred over slower and expensive magneto-optical disk (MOD) or tape storage systems. The number of installed servers increased from one to 12. By installing HDs with increased capacities, the number of servers should be kept constant. Entry and access of data were analyzed over two 4-month periods (after 1.5 and 2 years of continuous operations). RESULTS: Our digital image archive was found to be very reliable, cost effective and suitable for its designated tasks. As judged from the measured access volume, the average utilization of the system increased by 160 %. In the period from January to April 2002, the users accessed 239.8 gigabyte of the stored 873.7 gigabyte image data (27 %). The volume of the stored data added 20%, mainly due to an increase in cross-section imaging. CONCLUSION: The challenge of developing a digital image archive with limited financial resources resulted in a practicable and expandable solution. The utilization, number of active users and volume of transferred data have increased significantly. Our concept of utilizing HDs for image storage proved to be successful.

Comparing user acceptance of a computer system in two pediatric offices: a qualitative study.

The purpose of this qualitative study was to examine user acceptance of a clinical computer system in two pediatric practices in the southeast. Data were gathered through interviews with practice and IS staff, observations in the clinical area, and review of system implementation records. Five months after implementation, Practice A continued to use the system but Practice B had quit using it because it was unacceptable to the users. The results are presented here, in relation to a conceptual framework, which was originally developed to describe the process of successful implementation of research findings into practice. Five main themes were identified relative to the differences in user acceptance at the two practices: 1) Benefits versus expense of system use varied, 2) Organizational cultures differed, 3) IS staff's relationship with practices differed, 4) Post-implementation experiences differed, and 5) Transfer of technology from the academic center to private practice proved challenging in Practice B. The findings indicate a need for the development and validation of tools to measure healthcare organizational climate and readiness for change.

Incidence and costs of adverse drug reactions during hospitalisation: computerised monitoring versus stimulated spontaneous reporting.

OBJECTIVE: To implement a computer-based adverse drug reaction monitoring system and compare its results with those of stimulated spontaneous reporting, and to assess the excess lengths of stay and costs of patients with verified adverse drug reactions. DESIGN: A prospective cohort study was used to assess the efficacy of computer-based monitoring, and case-matching was used to assess excess length of stay and costs. SETTING: This was a study of all patients admitted to a medical ward of a university hospital in Germany between June and December 1997. PATIENTS AND PARTICIPANTS: 379 patients were included, most of whom had infectious, gastrointestinal or liver diseases, or sleep apnoea syndrome. Patients admitted because of adverse drug reactions were excluded. METHODS: All automatically generated laboratory signals and reports were evaluated by a team consisting of a clinical pharmacologist, a clinician and a pharmacist for their likelihood of being an adverse drug reaction. They were classified by severity and causality. For verified adverse drug reactions, control patients with similar primary diagnosis, age, gender and time of admission but without adverse drug reactions were matched to the cases in order to assess the excess length of hospitalisation caused by an adverse drug reaction. RESULTS: Adverse drug reactions were detected in 12% of patients by the computer-based monitoring system and stimulated spontaneous reporting together (46 adverse reactions in 45 patients) during 1718 treatment days. Computer-based monitoring identified adverse drug reactions in 34 cases, and stimulated spontaneous reporting in 17 cases. Only 5 adverse drug reactions were detected by both methods. The relative sensitivity of computer-based monitoring was 74% (relative specificity 75%), and that of stimulated spontaneous reporting was 37% (relative specificity 98%). All 3 serious adverse drug reactions were detected by computer-based monitoring, but only 2 out of the 3 were detected by stimulated spontaneous reporting. The percentage of automatically generated laboratory signals associated with an adverse drug reaction (positive predictive value) was 13%. The mean excess length of stay was 3.5 days per adverse drug reaction. 48% of adverse reactions were predictable and detected solely by computer-based monitoring. Therefore, the potential for savings on this ward from the introduction of computer-based monitoring can be calculated as EUR56 200/year ($US59 600/year) [ 1999 values]. CONCLUSION: Computer monitoring is an effective method for improving the detection of adverse drug reactions in inpatients. The excess length of stay and costs caused by adverse drug reactions are substantial and might be considerably reduced by earlier detection.

Y2K: ready or not ... survey: millennium bug is sapping time and resources, but execs are glancing beyond 2000.

Healthcare systems looking to power their networks with state-of-the-art information systems have been stung by the millennium bug. But if there is a silver lining to this infestation, it's that senior executives have come to find out the real value of their computer networks.