Introduction of information technologies at the disinfection profile enterprise by example Moscow City Disinfection Center

In accordance with the national strategy "Sanitary Shield of the Country – Safety for Health," tasks were set for the analysis and assessment of risks in the field of biological safety. To do this: the Moscow City Disinfection Center is connected to a single dispatch system of the UNIT of the Department of Housing and Communal Services of Moscow, an Algorithm for working on the UNIT portal has been developed and uniform deadlines and procedure for fulfilling applications have been determined, the form of primary documentation has been determined. A unit is organized – the Unified Information and Analytical Center, whose tasks include organizing and conducting a single centralized reception, analysis and processing of incoming information (applications for unscheduled disinfection, deratization and disinsection, summary of rodent bites), generation and compilation of reports, as well as consulting support for real-time requests and appeals of the population, customers of the State Unitary Enterprise of the Moscow State Central Executive Committee, regulatory bodies through all available communication channels (telephone, e-mail, etc.). The scoring information system of assessment of a sanitary and sanitary and hygienic condition of objects is developed: apartment houses of the city of Moscow with the territories adjoining to them. The introduction of integrated work of these systems as a whole will allow organizations of the disinfection profile: to reduce the cost of deratizations, to reduce the number of disinfectants without reducing the quality of work, to avoid the excessive use of poisoned decoys, which will dramatically increase public health and safety of the population, as well as reduce the burden on the environment of the city of Moscow. Keywords: sanitary shield of the country, information and analytical center, scoring system of assessment of sanitary and epidemiological condition, electronic systems of rodent monitoring, biological safety, biological risk assessment, biological risk analysis, information support of disinfection activities, digitalization of disinfection measures.

Research and Application of Power System Data Anomaly Identification Based on Time Series and Deep Learning

Abnormal data in the power system will reduce the accuracy of system state estimation and affect the safe operation of the power dispatch system. This paper proposes a data anomaly identification model based on time series and neural network, which establishes time series for various measuring points of the control master station, creates a time series group of associated measuring points based on the network topology, and extracts the sample characteristics of the time series. The neural network model is used to realize the intelligent identification of normal data and abnormal data. The neural network recognition results are compared with normal distribution and DBSCAN density clustering methods to verify the abnormal recognition performance of the neural network. Using a provincial power grid dispatch center operating data set as a training and testing sample, it verifies the advancement of the proposed method in the comprehensive performance of anomaly detection recall rate and precision rate and its feasibility in actual system application.

Establishing an ambulance dispatch system for intrahospital transfers in a large teaching hospital in India

During the Covid Pandemic, a lot of structural and process changes had to be made in a quick time in almost all the hospitals to accommodate the patients and admit them with the least exposure to the Hospital Staff and the bystanders of the patients. AIIMS Hospital in New Delhi India is a premier tertiary care teaching hospital, which is spread out in different areas. Two Hospital centers of AIIMS were designated as COVID Hospitals. Since there was no previous experience of intrahospital transfers of this magnitude, the hospital had to face lots of difficulties in such transfers and this translated into increased turnaround time. This paper concentrates on the mechanisms in which the Department of Hospital Administration found out the various issues plaguing this process. Later by Change Management, an Intervention was brought in, which helped in the framing of a standard operating procedure that helped in the easy transfer of the patients which was hassle-free and which continued to the second wave of the COVID pandemic.

Live video from bystanders’ smartphones to medical dispatchers in real emergencies

Background Medical dispatchers have limited information to assess the appropriate emergency response when citizens call the emergency number. We explored whether live video from bystanders’ smartphones changed emergency response and was beneficial for the dispatcher and caller. Methods From June 2019 to February 2020, all medical dispatchers could add live video to the emergency calls at Copenhagen Emergency Medical Services, Denmark. Live video was established with a text message link sent to the caller’s smartphone using GoodSAM®. To avoid delayed emergency response if the video transmission failed, the medical dispatcher had to determine the emergency response before adding live video to the call. We conducted a cohort study with a historical reference group. Emergency response and cause of the call were registered within the dispatch system. After each video, the dispatcher and caller were given a questionnaire about their experience. Results Adding live video succeeded in 838 emergencies (82.2% of attempted video transmissions) and follow-up was possible in 700 emergency calls. The dispatchers’ assessment of the patients’ condition changed in 51.1% of the calls (condition more critical in 12.9% and less critical in 38.2%), resulting in changed emergency response in 27.5% of the cases after receiving the video (OR 1.58, 95% CI: 1.30–1.91) compared to calls without video. Video was added more frequently in cases with sick children or unconscious patients compared with normal emergency calls. The dispatcher recognized other or different disease/trauma in 9.9% and found that patient care, such as the quality of cardiopulmonary resuscitation, obstructed airway or position of the patient, improved in 28.4% of the emergencies. Only 111 callers returned the questionnaire, 97.3% of whom felt that live video should be implemented. Conclusions It is technically feasible to add live video to emergency calls. The medical dispatcher’s perception of the patient changed in about half of cases. The odds for changing emergency response were 58% higher when video was added to the call. However, use of live video is challenging with the existing dispatch protocols, and further implementation science is necessary.

Pengaruh coverage terhadap produktivitas alat gali-muat di PT Pama Persada Nusantara jobsite PT Adaro Indonesia

Perlu dilakukan analisis terhadap pengaruh coverage pada produktivitas alat gali muat agar dapat memenuhi target produktivitas PT Pama Persada Nusantara. Coverage merupakan salah satu faktor yang berpengaruh terhadap produktivitas alat gali muat. Pengaturan terhadap alat gali muat dan angkut secara optimal dapat dilakukan dengan pemantauan terus menerus, sehingga dibutuhkan dispatch system untuk mengoptimalkan dan mengendalikan arus lalu lintas peralatan mekanis pada PT Pama Persada Nusantara. Metode yang digunakan dalam penelitian ini adalah dengan menganalisis waktu edar alat gali muat dan alat angkut, tingkat pemenuhan alat angkut (coverage), pengaruh coverage terhadap produktivitas alat gali muat, serta perbadingan data coverage berdasarkan teori statistik. Hasil dari analisis data adalah diketahuinya nilai coverage terbaik untuk menghasilkan produktivitas paling tinggi. Pemberian nilai coverage diatas 100% tidak selalu berbanding lurus dengan peningkatan produktivitas alat gali muat dan berdasarkan perhitungan data secara statistik diketahui bahwa coverage 110% merupakan coverage yang menghasilkan produktivitas paling tinggi dibandingkan coverage yang lainnya yaitu sebesar 896 bcm/jam dengan nilai loading time 2,5 menit, spotting time 0,7 menit dan wait for truk bertutut-turut 2,2 menit. Kata-kata kunci: dispatch system, loading time, spotting time, wait for truk

Emergency Infrastructure and Locational Extraction: Problematizing Computer Assisted Dispatch Systems as Public Good

This article analyzes the increasing articulation between third-party software and emergency infrastructures through a focus on the computer-assisted dispatch system RapidDeploy, which purports to help 9-1-1 responders more accurately and efficiently respond to emergency situations. We build from research that focuses on overlaps between surveillance and emergency response to demonstrate how large-scale data mining practices—in particular, location extraction—are repurposed as beneficial, if not life-saving, measures. In focusing on the capacity to extract and analyze location in the name of public good, we discursively analyze how RapidDeploy’s official company blog constructs the benevolence of data collection. We then demonstrate how these viewpoints are reproduced in the news reports in one city—Charleston, South Carolina—where RapidDeploy has formally partnered with emergency response services. This analysis is used to demonstrate how words like “data” and “cloud” continue to be used as vague buzzwords for companies situated at the intersections of surveillance and civic function, and to argue for greater attention to how the trend towards platformization continues to blur the relationships between surveillance and emergency response systems. This case study examines the public face of this company and, as such, analyzes the language used to gain public assent for the software and its function.