Electronic Surveillance System Research Articles

Electronic Monitoring Is Not the Only Problem Here

Over the past 25 years, few alternative sanctions have received as much attention as electronically monitored house arrest. In the view of relatively dynamic development of electronic surveillance technologies and related ethical and legal issues at stake, this interest continues to this day. In the Czech Republic, electronically monitored house arrest was introduced in 2010. Somewhat oddly, the electronic surveillance system had not been implemented at the time. Yet, legislators and sanctions policy makers placed high hopes in this form of punishment. In particular, it was expected to significantly help combat the relentless hypertrophy of the prison population. But the expectations of sanction policy makers were not met due to the reluctance of the courts to impose house arrest. This had remained unchanged over the years, and opinions had begun to emerge that the state's failure to introduce electronic monitoring was primarily to blame. In 2019, electronic monitoring was eventually implemented, but the number of sentences imposed still did not increase. If the legislature's sanctions policy is not translated into practice, its aims cannot be achieved. For this to happen, it is essential that house arrest becomes more prevalent in the structure of sentences imposed. Increased application rates will not happen spontaneously; certain steps need to be taken to address the reasons for the current state of affairs and to mitigate factors that negatively affect application practice. For this purpose, such causes and negative factors must first be identified. This paper therefore examines the importance of electronic monitoring in terms of the application practice of house arrest in the Czech Republic, and the main reasons for not imposing house arrest. Building on these findings, it offers suggestions that would contribute to more frequent imposition of house arrest in appropriate cases.

Understanding Epidemiological Trends in Geriatric Burn Injuries: A National Multicenter Analysis from NEISS 2004-2022.

Burn injuries pose a significant source of patient morbidity/mortality and reconstructive challenges for burn surgeons, especially in vulnerable populations such as geriatric patients. Our study aims to provide new insights into burn epidemiology by analyzing the largest national, multicenter sample of geriatric patients to date. Utilizing the National Electronic Injury and Surveillance System (NEISS) database (2004-2022), individuals with a "Burn" diagnosis were extracted and divided into two comparison age groups of 18-64 and 65+. Variables including sex, race, affected body part, incident location, burn etiology, and clinical outcomes were assessed between the two groups utilizing two proportion z-tests. 60,581 adult patients who sustained burns were identified from the NEISS database with 6,630 of those patients categorized as geriatric (65+). Geriatric patients had a significantly greater frequency of scald burns (36.9% vs. 35.4%; p<0.01), and third degree/full-thickness burns (10.4% vs 5.5%, p<0.01) relative to non-geriatric adult patients with most of these burns occurring at home (75.9% vs 67.4%; p<0.01). The top five burn sites for geriatric patients were the hand, face, foot, lower arm, and lower leg and the top five burn injury sources were hot water, cookware, oven/ranges, home fires, and gasoline. Geriatric patients had over two times greater risk of hospital admission (OR: 2.32, 95% CI: 2.17-2.49, p<0.01) and over five times greater risk of ED mortality (OR: 6.22, 95% CI: 4.00-9.66, p<0.01) after incurring burn injuries. These results highlight the need for stronger awareness of preventative measures for geriatric burn injuries.

Nature and Extent of Electronic Security Surveillance Systems in Secondary School Safety in Kenya

Secondary safety is paramount to the sustainability of school performance; however, threats leveled against schools globally are interfering with safety. Schools in Kenya have experienced a horde of threats such as fire and theft coupled with radicalization. There is hardly the use of electronic security surveillance systems to mitigate threats. In Trans Nzoia County, secondary schools have been a recipient of security threats threatening the safety of the school community. Against this backdrop, this study assessed the influence of electronic security surveillance systems on the sustainability of secondary school safety in Trans Nzoia County, Kenya. The specific objective of the study was to establish the nature and extent of electronic security surveillance systems in secondary schools in Kenya. The descriptive survey research design was used to study electronic security surveillance systems in secondary school safety in Trans Nzoia County. The study population was composed of 14 secondary schools that had previous security threats and had installed electronic security surveillance systems (unit of analysis). The sampling strategy in this study was simple random and purposive sampling. Quantitative data was analyzed descriptively and inferentially with the aid of SPSS version 25. The data was analyzed at a 0.05 probability level and presented in tables and figures in percentages and frequencies. Results: CCTV was installed in all the secondary schools surveyed sampled. It was agreeable by the respondents (76.9%) that the nature and extent of electronic security surveillance systems in secondary schools promoted safety in the school community. The interaction between the electronic security surveillance systems installed in schools and the implementation of national ICT policy and school safety policy had a 29.9% impact on promoting safety in secondary schools (R2 = 0.299, (F (2, 75) = 15.966, p = 0.000). About 80.8% of the respondents agreed that electronic security surveillance systems effectively promote safety in secondary schools.

LPI Sequences Optimization Method against Summation Detector Based on FFT Filter Bank

Waveform design is a crucial factor in electronic surveillance (ES) systems. In this paper, we introduce an algorithm that designs a low probability of intercept (LPI) radar waveform. Our approach directly minimizes the detection probability of summation detectors based on FFT filter banks. The algorithm is derived from the general quadratic optimization framework, which inherits the monotonic properties of such methods. To expedite overall convergence, we have integrated acceleration schemes based on the squared iterative method (SQUAREM). Additionally, the proposed algorithm can be executed through fast Fourier transform (FFT) operations, enhancing computational efficiency. With some modifications, the algorithm can be adjusted to incorporate spectral constraints, increasing its flexibility. Numerical experiments indicate that our proposed algorithm outperforms existing ones in terms of both intercept properties and computational complexity.

Digitalizing disease surveillance: experience from Sierra Leone.

The Integrated Disease Surveillance and Response (IDSR) system was adopted by the Sierra Leone Ministry of Health (MOH) in 2008, which was based on paper-based tools for health data recording and reporting from health facilities to the national level. The Sierra Leone MoH introduced the implementation of electronic case-based disease surveillance reporting of immediately notifiable diseases. This study aimed to document and describe the experience of Sierra Leone in transforming her paper-based disease surveillance system into an electronic disease surveillance system. Retrospective mixed methods of qualitative and quantitative data were reviewed. Qualitative data was collected by reviewing surveillance technical reports, epidemiological bulletins, COVID-19, IDSR technical guidelines, Digital Health strategy, and DHIS2 documentation. Content and thematic data analysis were performed for the qualitative data, while Microsoft Excel and DHIS2 platform were used for the quantitative data analysis to document the experience of Sierra Leone in digitalizing its disease surveillance system. In early 2017, a web-based electronic Case-Based Disease Surveillance (eCBDS) for real-time reporting of immediately notifiable diseases and health threats was piloted using the District Health Information System 2 (DHIS2) software. The eCBDS, integrates case profile, laboratory, and final outcome data. All captured data and information are immediately accessible to users with the required credentials. The system can be accessed via a browser or an Android DHIS2 application. By 2021, there was a significant increase in the proportion of immediately notifiable cases reported through the facility-level electronic platform, and more than 80% of the cases reported through the weekly surveillance platform had case-based data in eCBDS. Case-based data from the platform is analyzed and disseminated to stakeholders for public health decision-making. Several outbreaks of Lassa fever, Measles, vaccine-derived Polio, and Anthrax have been tracked in real-time through the eCBDS.

Syndromic Surveillance of Emergency Department Visits Related to Unintentional Drowning, United States, 2019-2022.

To improve national drowning surveillance efforts, we developed and evaluated a definition for unintentional drowning for use in the National Syndromic Surveillance Program's ESSENCE platform (Electronic Surveillance System for the Early Notification of Community-Based Epidemics) and described drowning-related emergency department (ED) visits from 2019 through 2022 using the new definition. We adapted an unintentional drowning definition from a previous version, which included all drowning-related ED visits regardless of intent (including drowning related to assault and suicide, as well as unintentional drowning). We reviewed a random sample of 1000 visits captured by the new definition of unintentional drowning and categorized visits as likely, possibly, and unlikely to be related to unintentional drowning. We compared monthly drowning-related ED visits from 2020, 2021, and 2022 with monthly drowning ED visits from 2019, overall and by sex and age group. A total of 35 431 ED visits related to unintentional drowning (10.71 per 100 000 ED visits) occurred from 2019 through 2022. Most visits (86%) captured by the new definition and manually reviewed were likely related to unintentional drowning. Rates were highest among males (14.04 per 100 000 ED visits) and children aged <1 to 4 years (65.61 per 100 000 ED visits). The number of drowning-related ED visits was higher in May and August 2020, May and June 2021, and May 2022 as compared with the same months in 2019 among people aged 18 to 44 years. The definition for unintentional drowning is available in the National Syndromic Surveillance Program's ESSENCE platform for state and local jurisdictions to use to monitor unintentional drowning-related ED visits in near-real time to inform prevention strategies.

A concise high‐efficiency broadband parallel‐circuit Class‐E power amplifier

SummaryAn analysis of a single‐ended high‐efficiency broadband parallel‐circuit (PC) Class‐E power amplifier (PA) with a single reactance compensation technique (RCT) and low‐pass (LP) Chebyshev impedance transformer is first presented under low supply voltage. Analysis of the gate and drain voltage allows to determine the required optimum voltage values for the expected PA design objectives. Derivation and design procedure of the broadband matching network (MN) is provided, which can effectively filter out higher order harmonics and reduce circuit complexity. In addition, the load adaptability for this PA is studied, achieving higher than 67.87% drain efficiency (DE) in the case of load mismatch. A PC Class‐E PA based on NMOS transistor is designed and implemented to validate the analysis over a frequency band of 7–9.4 MHz. Experimental results show that the PA delivers 36.48–38.83 dBm output power with a DE of 84.91% to 86.91%, as well as achieves 83.98% to 86.28% power‐added efficiency (PAE), 19.48–21.83 dB gain with a low supply voltage of 12 V. It is also demonstrated that the experimental results exhibit good agreement with the simulation results, which prototype the radio frequency identification transmitter with broadband high‐efficiency and system compactness. To the author's knowledge, this study represents the first approach to design broadband PC Class‐E PA under low supply voltage for Internet of Things (IoT) applications at HF frequency band, such as electronic article surveillance (EAS) system.

위치추적 전자감시제도의 법 효과성 검토 -2023.7.11. 개정 스토킹처벌법상의 전자감시제도를 포함하여-* 이 논문은 2023년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임(NRF-2023S1A5B5A16075301).

위치추적 전자감시제도의 법 효과성 검토 -2023.7.11. 개정 스토킹처벌법상의 전자감시제도를 포함하여-* 이 논문은 2023년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임(NRF-2023S1A5B5A16075301).

The impact of COVID-19 vaccination on the risk of hospitalization in Fayoum healthcare workers

Background: Healthcare workers (HCWs) face several challenges including treating COVID-19 patients. The immunization of the population through vaccination is recognized as a public health priority. The aim of the study is to assess the impact of vaccination on the risk of hospitalization and mortality in HCWs due to COVID-19 infection. Methods: This study was conducted in Egypt in El Fayoum governorate on the HCWs from April 2021 to the end of the year 2021. A cohort retrospective approach was carried out using (the national electronic disease surveillance system) NEDSS and COVID-19 vaccine registration system. Hospitalization is determined by assessment of the cases according to the protocol of COVID-19 management of MOHP November 2020. Results: There was no association between hospitalization and both sex and residence (p=0.1, and 0.06 respectively). There was no statistical significant association between hospitalization and vaccination (time, status, or type). The p=0.2, 0.6, and 0.07 respectively. Age and the presence of comorbidities were statistically significant predictors with p=0.004 and 0.04, respectively, as increasing age and the presence of comorbidities will increase the likelihood of hospitalization by 1.04 and 1.9 folds, respectively. Conclusions: This study shows no significant association between vaccination and hospitalization of HCWs.

Testing the Functionality of Joint Zoonotic Disease Electronic Surveillance and Reporting Systems through a Pandemic Influenza Full-Scale Simulation Exercise in Jordan

Zoonotic disease surveillance and response simulation exercises are an important tool to assess national infrastructures and mechanisms supporting joint zoonotic disease surveillance and information sharing across sectors. In December 2022, the Jordanian Ministries of Health and Agriculture, supported by the World Health Organization Country Office, conducted a 10-day full-scale simulation exercise in Amman, Jordan, to evaluate the linkage between their electronic surveillance and response systems. An exercise management team designed a realistic fictitious scenario of an outbreak of avian influenza on a poultry farm that subsequently led to human infections. The functions and actions tested included all aspects of outbreak management, from initial reporting to conclusion. Debriefings and an after-action review were conducted after the activities were completed. Gaps in both ministries’ surveillance systems, epidemiological investigations, biosafety and biosecurity, sample collection, sample transport, laboratories, interventions, and coordination were identified. This simulation exercise was a unique exercise focusing on multiple technical and operational capacities that related to the joint response to potential zoonotic disease outbreaks and real-time information sharing between the sectors under the One Health approach. This exercise is a step towards the operationalization of the One Health approach in Jordan, building on the coordination mechanisms already in place.

Defective Assistive Device Involvement in Older Adult Emergency Department Visits.

Many older adults adopt equipment to address physical limitations and reduce dependence on others to complete basic activities of daily living. Although a few prior studies have considered injuries associated with assistive devices for older adults, those studies focused on older adults' health and functional risks for injury. There is limited analysis of older adult injuries involving defective or malfunctioning assistive devices. Data from this study are from the National Electronic Surveillance System All Injury Program which collected data on consumer product-related injuries from a probability sample of 66 hospital Emergency Departments across the United States. Data from 30776 older adult Emergency Department (ED) injury narratives from 2016 to 2020 were coded according to the assistive device involved and whether malfunctioning led to the injury. The study team manually examined all narratives in which the assistive device was coded to have malfunctioned. A total of 10974 older adult ED cases were treated for 12488 injuries involving a defective device. Injuries included 4212 head and neck injuries (eg, concussion), 4317 trunk injuries (eg, hip fractures), and 3959 arm or leg injuries (eg, leg fracture). Of these patients, 4586 were admitted to a hospital ward for further evaluation and treatment. Seventy percent of these patients were injured while using a walker; in contrast, wheelchairs were implicated in only 4% of the above cases. Design flaws were identified in 8158 cases and part breakage/decoupling incidents in 2816 cases. Our findings provide evidence that assistive devices are actively involved in older adult injuries. Further research is needed to reduce injuries associated with assistive devices by educating patients and their careproviders about device use and assembly and developing effective methods for informing manufacturers about malfunctioning devices.

위치추적 전자장치제도의 실태 분석 연구

This study examines the legitimacy of the electronic surveillance system in Korea, and hurriedly passed the Electronic Surveillance System Act on September 1, 2008, as violent crimes continue to occur recently. These electronic surveillance systems implement harsh punitive policies aimed at monitoring and isolating certain criminals, but serious debates, effective tests, and side effects were not studied before the law was passed, and even before the electronic surveillance system was implemented, it contributed a lot to reducing social protection and recidivism rates by extending the implementation period and expanding the category of criminals, but despite these positive aspects, legal issues and operational problems have been found to have created negative aspects. In order to increase the efficiency of the electronic monitoring system, problems such as infringement of basic rights under the constitution, double risks, operating budget, and manpower must be resolved first. In addition, the selection of electronic monitoring targets should not only consider systematic secondary crime risk assessment criteria (K-SORAS), but also converge with each government department to achieve the purpose of this law.

The burden of stillbirths in low resource settings in Latin America: Evidence from a network using an electronic surveillance system.

To determine stillbirth ratio and its association with maternal, perinatal, and delivery characteristics, as well as geographic differences in Latin American countries (LAC). We analysed data from the Perinatal Information System of the Latin American Center for Perinatology and Human Development (CLAP) between January 2018 and June 2021 in 8 health facilities from five LAC countries (Bolivia, Guatemala, Honduras, Nicaragua, and the Dominican Republic). Maternal, pregnancy, and delivery characteristics, in addition to pregnancy outcomes were reported. Estimates of association were tested using chi-square tests, and P < 0.05 was regarded as significant. Bivariate analysis was conducted to estimate stillbirth risk. Prevalence ratios (PR) with their 95% confidence intervals (CI) for each predictor were reported. In total, 101,852 childbirths comprised the SIP database. For this analysis, we included 99,712 childbirths. There were 762 stillbirths during the study period; the Stillbirth ratio of 7.7/1,000 live births (ranged from 3.8 to 18.2/1,000 live births across the different maternities); 586 (76.9%) were antepartum stillbirths, 150 (19.7%) were intrapartum stillbirths and 26 (3.4%) with an ignored time of death. Stillbirth was significantly associated with women with diabetes (PRadj 2.36; 95%CI [1.25-4.46]), preeclampsia (PRadj 2.01; 95%CI [1.26-3.19]), maternal age (PRadj 1.04; 95%CI [1.02-1.05]), any medical condition (PRadj 1.48; 95%CI [1.24-1.76, and severe maternal outcome (PRadj 3.27; 95%CI [3.27-11.66]). Pregnancy complications and maternal morbidity were significantly associated with stillbirths. The stillbirth ratios varied across the maternity hospitals, which highlights the importance for individual surveillance. Specialized antenatal and intrapartum care remains a priority, particularly for women who are at a higher risk of stillbirth.

Comprehensive Evaluation of Healthcare Associated Infection Surveillance System

Background &amp; objectives: The electronic surveillance system has been applied in healthcare associated infection surveillance. We conducted an evaluation of the real-time healthcare associated infection surveillance system (RT-HAISS) to understand the early warning effect. Methods: We evaluated our RT-HAISS on a dataset of 29074 patients at the Wuxi traditional Chinese medicine (TCM) hospital in 2020, encompassing sensitivity, specificity, positive predictive value, negative predictive value, Youden index and false alarm rate.Results: 466 HAIs were confirmed in this hospital in 2020, The RT-HAISS warned the monitors a total of 1715 cases, with 2040 early warning entries and 1736 false alarm entries. The sensitivity and the specificity were 65.24% and 95.74%, respectively. The Youden index was 0.62. In addition, the positive predictive value was 14.90%, and the negative predictive value was 83.86%, with 85.10% of false alarm rate.Conclusion: The RT-HAISS is an important technical mean for healthcare associated infection surveillance, it’s necessary to further explore the improvement of real-time surveillance system.

A qualitative exploration of forensic pathology service staff perceptions of the implementation barriers and facilitators of manual- and electronic injury mortality surveillance system methods in South Africa

BackgroundInjury mortality surveillance systems are critical to monitor changes in a population’s injury outcomes so that relevant injury prevention responses may be adopted. This is particularly the case in South Africa, where the injury burden is nearly twice the global rate. Regular evaluations of surveillance systems are pivotal to strengthening surveillance capacity, performance, and cost effectiveness. The National Injury Mortality Surveillance System (NIMSS) is an injury mortality surveillance system that is currently focused in Mpumalanga and utilises manual and electronic web-based systems for data collection. This study explored Forensic Pathology Service (FPS) staff perceptions of the implementation barriers and facilitators of manual- and electronic injury mortality surveillance system methods.MethodsA qualitative study was employed using purposive sampling. Forty-seven participants, aged 29 to 59 years comprising 31 males and 16 females were recruited across 21 FPS facilities that serve the province. The formative evaluation occurred over the November 2019 to November 2022 period. Twelve focus group discussions were thematically analysed to determine emerging themes and patterns related to the use of the system using the WHO surveillance system guidelines as a framework.ResultsThe key themes concerning the barriers and facilitators were located along WHO attributes of simplicity, acceptability, timeliness, flexibility, data quality and stability. Distinctions between the manual and e-surveillance systems were drawn upon across the attributes highlighting their experience with the system, user preference, and its contextual relevance. With Mpumalanga predominantly rural, internet connectivity was a common issue, with most participants consequently showing a preference for the manual system, even though the electronic system’s automated internal validation process was of benefit. The data quality however remained similar for both methods. With program stability and flexibility, the manual system proved more beneficial as the dataset was reported to be easily transferrable across computer devices.ConclusionObtaining FPS perceptions of their experiences with the system methodologies are pertinent for the enhancement of injury surveillance systems so to improve prospective engagements with the systems. This will facilitate timely and accurate injury mortality information which is vital to inform public policy, and injury control and prevention responses.

Diphenhydramine-involved Fatal and Nonfatal Drug Overdoses in Tennessee, 2019–2022

Background Diphenhydramine (DPH), known as the brand name Benadryl, is an over-the-counter medication associated with accidental ingestion leading to nonfatal overdoses. Additionally, DPH has been used in tandem with illicit substances leading to fatal drug overdoses. Objective In response to DPH being seized with illicit drugs as an adulterant, as well as its growing intentional misuse, we sought to explore its recent involvement in fatal and nonfatal drug overdoses in the state of Tennessee. Methods We conducted a statewide cross-sectional study to determine the characteristics of DPH-involved fatal and nonfatal overdoses in Tennessee during 2019–2022 using data from the State Unintentional Drug Overdose Reporting System, the Electronic Surveillance System for the Early Notification of Community-based Epidemics, and the National Forensic Laboratory Information System Public Data Query System. Frequencies were generated to compare demographic characteristics, circumstances, and toxicology between fatal and nonfatal DPH-involved overdoses. Results We identified 143 suspected nonfatal DPH and 409 fatal DPH-involved overdoses in Tennessee from 2019 to 2022. Nonfatal overdoses remained consistent while fatal overdoses peaked in 2021. Most nonfatal overdoses were under 18 (63.4%), while most fatal overdoses were between 18 and 64 years of age (95.7%). For fatal overdoses, fentanyl was the most prevalent substance on toxicology followed by prescription opioids. Conclusion Nonfatal overdoses remained consistent while fatal overdoses peaked in 2021 in Tennessee. Use of DPH among other illicit substances lends to evidence suggesting its use as an adulterant. Monitoring of DPH-involved fatal and nonfatal overdoses is critical to inform harm reduction initiatives.

A three-country survey of stakeholders on Continuous Professional Development in Public Health

Abstract Background Health and social care systems in Eastern Partnership Countries are in the process of “digital transformation”, and health professionals started widespread use of digital registers and databases. This challenge highlights the importance of upskilling workforces. However, in some of these countries there are not well functioning Continuous Professional Development (CPD) systems available and less attention is paid to widening access to life-long learning (LLL) education at High Educational Institutions (HEIs). Study aimed to explore the view of stakeholders on the needs and perspectives of CPD in the Public Health on the example of Georgia, Armenia and Moldova. Methods Quantitative research method was used. A special questionnaire was designed for the study. Survey was administered in November-December 2022 in Georgia, Armenia and Moldova. Results In total, 122 stakeholders from various areas (Ministry of Health, PH institutions, hospitals, HEIs) participated in the survey with 58,7% being at a high management level and with 82.5% having more than 15 years of total working experience. The majority of respondents (94,6%) worked in the state sector. Study reveals several common needs and perspectives in all three countries. Majority of stakeholders (97,8%) suggested that there is a lack of qualified staff with the necessary competencies and skills. In addition, large share of stakeholders (95,7%) mentioned that there is a lack of training opportunities and relevant CPD Programs in e-health and digitalization, medical and social registries, electronic surveillance systems, as well lack of financial support (93,4%), absence of appropriate regulation (90,2%). Conclusions Stakeholders in Georgia, Armenia and Moldova considered that existing gaps can be filled through strengthening the national system of CPD and developing of high quality CPD Programs oriented on specific knowledge and skills in the Public Health. Key messages • It is important in Eastern Partnership Countries to develop CPD programs with a focus on digital skills according to the best European practice and experience. • High Educational Institutions can play a significant role in delivering LLL for the health workforce in Public Health.

Development of a knowledge-based healthcare-associated infections surveillance system in China

BackgroundIn the modern era of antibiotics, healthcare-associated infections (HAIs) have emerged as a prominent and concerning health threat worldwide. Implementing an electronic surveillance system for healthcare-associated infections offers the potential to not only alleviate the manual workload of clinical physicians in surveillance and reporting but also enhance patient safety and the overall quality of medical care. Despite the widespread adoption of healthcare-associated infections surveillance systems in numerous hospitals across China, several challenges persist. These encompass incomplete coverage of all infection types in the surveillance, lack of clarity in the alerting results provided by the system, and discrepancies in sensitivity and specificity that fall short of practical expectations.MethodsWe design and develop a knowledge-based healthcare-associated infections surveillance system (KBHAIS) with the primary goal of supporting clinicians in their surveillance of HAIs. The system operates by automatically extracting infection factors from both structured and unstructured electronic health data. Each patient visit is represented as a tuple list, which is then processed by the rule engine within KBHAIS. As a result, the system generates comprehensive warning results, encompassing infection site, infection diagnoses, infection time, and infection probability. These knowledge rules utilized by the rule engine are derived from infection-related clinical guidelines and the collective expertise of domain experts.ResultsWe develop and evaluate our KBHAIS on a dataset of 106,769 samples collected from 84,839 patients at Gansu Provincial Hospital in China. The experimental results reveal that the system achieves a sensitivity rate surpassing 0.83, offering compelling evidence of its effectiveness and reliability.ConclusionsOur healthcare-associated infections surveillance system demonstrates its effectiveness in promptly alerting patients to healthcare-associated infections. Consequently, our system holds the potential to considerably diminish the occurrence of delayed and missed reporting of such infections, thereby bolstering patient safety and elevating the overall quality of healthcare delivery.

The Medical Burden of Obesity and Overweight in the US Military: Association of BMI with Clinically Diagnosed Medical Conditions in United States Military Service Members

BackgroundA high BMI is associated with various medical conditions, notably type 2 diabetes, cardiovascular disease, and mental health disorders. In the US military, BMI increased linearly between 1975 and 2015. ObjectiveThis cross-sectional study investigated the associations between BMI and a comprehensive range of clinically diagnosed medical conditions (CDMCs) in US military service members (SMs). MethodsA stratified random sample of SMs (n=26,177) completed an online questionnaire reporting their height, weight, and demographic/lifestyle characteristics. Medical conditions for 6 mo before questionnaire completion were obtained from a comprehensive military electronic medical surveillance system and grouped into 39 CDMCs covering both broad (largely systemic) and specific medical conditions. BMI was calculated as weight/height2 (kg/m2). The prevalence of CDMCs was compared among normal weight (<25.0 kg/m2), overweight (25.0–29.9 kg/m2), and obese (≥30 kg/m2) SMs. ResultsAfter multivariable adjustment for demographic/lifestyle characteristics, higher BMI was associated with higher odds of a diagnosed medical condition in 30 of 39 CDMCs, with all 30 displaying dose–response relationships. The 5 major CDMCs with the largest odds ratios comparing obese to normal weight were endocrine/nutritional/metabolic diseases (OR=2.67, 95%CI=2.24–3.15), nervous system diseases (odds ratio [OR]=2.59, 95%CI=2.32–2.90), circulatory system diseases (OR=2.56, 95%CI=2.15–3.06), musculoskeletal system diseases (OR=1.92, 95%CI=1.76–2.09), and mental/behavioral disorders (OR=1.69, 95%CI=1.51–1.90). Compared with normal weight SMs, overweight or obese SMs had a higher number of CDMCs (1.8±1.9 vs. 2.0±2.0 and 2.5±2.3, mean ± standard deviation, respectively, P<0.01). ConclusionsIn a young, physically active population, higher BMI was associated with a host of medical conditions, even after adjustment for demographic/lifestyle characteristics. The US Department of Defense should improve nutrition education and modify other factors that contribute to overweight and obesity. This study demonstrates that the medical burden of obesity is substantial in overweight and obese SMs.

형사절차상 인공지능기반 전자감시의 통제

This study examines the necessity and direction of legal control and human rights protection as electronic surveillance tools in criminal proceedings are expanded based on artificial intelligence technology from a policy and institutional perspective. In particular, the need for control and the search for ways to realize the enhancement of the quality of surveillance contents due to the technological advancement of electronic surveillance techniques should be newly emphasized. The need for criminal procedure control comes from the rule of law, and the direction of control should be to ensure the human rights of citizens. Legal control, including criminal law, should include the improvement of existing relevant legal systems and legislative policies to respond to new problems. As the current electronic surveillance system evolves into an expanded combination of location-tracking electronic devices and fixed video information processing devices (CCTV) as tools for electronic surveillance, the enhanced electronic surveillance system based on artificial intelligence technology will inevitably result in the challenge of reasonable and effective legal and institutional control. The expansion of electronic surveillance tools in criminal proceedings based on A.I. technology should not only reevaluate its effectiveness but also review its legitimacy, as the effectiveness of A.I. technology is overestimated while its risks are underestimated, and it is rapidly being introduced into reality. The urgency is evident in the fact that the expansion of electronic surveillance has not been met with the same level of prudence that has been exercised in the past in relation to drug, sexual violence, and terrorism offenses, as fantasies and expectations of advanced technology can undermine the boundaries of human rights in criminal justice more than fears of crime or the need for safety.