Data Recording System Research Articles

Deploying the Red Cross Red Crescent Health Information System (RCHIS): A Pilot with the Portuguese Red Cross in a Red Cross Emergency Clinic (RCEC) Equivalent to a Type 1 Fixed Clinic

Background/Introduction:RCHIS is an Electronic Medical Record (EMR) and Health Information System (HIS) that has been purpose built for use by Red Cross Red Crescent (RCRC) Emergency Response Units (ERUs), which are the equivalent of Type 1 (fixed and mobile) and Type 2 facilities in the Emergency Medical Teams (EMT) classification.Objectives:To share the main lessons learned from the pilot to inform development and implementation of similar systems in other EMTs.Method/Description:A three-day, in-person super user training was held with 13 participants: nine first aid volunteers, two nurses, and two medical doctors; seven delegates had experience using an EMR. These super users served as trainers for staff at the pilot.The pilot occurred with the Portuguese Red Cross (PRC) for the Peregrinação de Fátima, where 200,000 people were in attendance. The PRC was part of a wider coordination cell with the civil defense authority, who required live reporting from the three clinics PRC had set up.Results/Outcomes:77 user accounts and 243 patient files were created during the four-day pilot.The delegates shared feedback directly and through a survey. 88% stated that RCHIS was very easy to use with the majority of delegates requiring less than 30 minutes of training. 95% of delegates stated that they had sufficient training to use RCHIS to its full extent.The civil defense authority was able to utilize the real-time reporting to assist in their operational response.Conclusion:The first RCHIS pilot was very successful from both a technical and organizational perspective.

From 2 Hours to 2 Seconds: Using the Red Cross Red Crescent Health Information System (RCHIS) to Complete the Emergency Medical Teams - Minimum Data Set Reporting

Background/Introduction:Standardization of data collection and reporting within EMTs is challenging. In past deployments, the Red Cross Red Crescent Type 1 and Type 2 facilities have collected data by hand using paper-based form and Excel spreadsheets. This process can be laborious, time-consuming, and often inaccurate.Objectives:To combat this issue with reporting, RCHIS (Red Cross Red Crescent Health Information System) has been designed to ensure that reporting is accurate and also very easy to complete, increasing compliance with the EMT-MDS reporting.Method/Description:RCHIS is both an electronic medical record (EMR) and health information system (HIS). RCHIS has been designed to produce pre-made reports including the MDS in seconds, extracting data from the patient records. Through significant testing and pilot deployments in a domestic Type 1 fixed clinic, the rapid production of reports such as the MDS has increased compliance and accuracy with reporting.Results/Outcomes:Overall, the utilization of an electronic medical system for increasing compliance and accuracy with the MDS has been hugely successful. An in-depth analysis of the export data was done to confirm the 100% accuracy within the MDS report.Conclusion:The utilization of RCHIS within a domestic ERU (equivalent to an EMT Type 1 or Type 2) has been hugely successful. The next steps will involve the deployment of RCHIS within an international deployment.

Machine learning algorithms identifying the risk of new-onset ACS in patients with type 2 diabetes mellitus: A retrospective cohort study.

BackgroundIn recent years, the prevalence of type 2 diabetes mellitus (T2DM) has increased annually. The major complication of T2DM is cardiovascular disease (CVD). CVD is the main cause of death in T2DM patients, particularly those with comorbid acute coronary syndrome (ACS). Although risk prediction models using multivariate logistic regression are available to assess the probability of new-onset ACS development in T2DM patients, none have been established using machine learning (ML).MethodsBetween January 2019 and January 2020, we enrolled 521 T2DM patients with new-onset ACS or no ACS from our institution's medical information recording system and divided them into a training dataset and a testing dataset. Seven ML algorithms were used to establish models to assess the probability of ACS coupled with 5-cross validation.ResultsWe established a nomogram to assess the probability of newly diagnosed ACS in T2DM patients with an area under the curve (AUC) of 0.80 in the testing dataset and identified some key features: family history of CVD, history of smoking and drinking, aspartate aminotransferase level, age, neutrophil count, and Killip grade, which accelerated the development of ACS in patients with T2DM. The AUC values of the seven ML models were 0.70–0.96, and random forest model had the best performance (accuracy, 0.89; AUC, 0.96; recall, 0.83; precision, 0.91; F1 score, 0.87).ConclusionML algorithms, especially random forest model (AUC, 0.961), had higher performance than conventional logistic regression (AUC, 0.801) for assessing new-onset ACS probability in T2DM patients with excellent clinical and diagnostic value.

The Application of PERSIANN Family Datasets for Hydrological Modeling

This study investigates the application of precipitation estimation from remote sensing information using artificial neural networks (PERSIANN) for hydrological modeling over the Russian River catchment in California in the United States as a case study. We evaluate two new PERSIANN products including the PERSIANN-Cloud Classification System–Climate Data Record (CCS–CDR), a climatology dataset, and PERSIANN–Dynamic Infrared Rain Rate (PDIR), a near-real-time precipitation dataset. We also include older PERSIANN products, PERSIANN-Climate Data Record (CDR) and PERSIANN-Cloud Classification System (CCS) as the benchmarks. First, we evaluate these PERSIANN datasets against observations from the Climate Prediction Center (CPC) dataset as a reference. The results showed that CCS–CDR has the least bias among all PERSIANN family datasets. Comparing the two near-real-time datasets, PDIR performs significantly more accurately than CCS. In simulating streamflow using the nontransformed calibration process, EKGE values (Kling–Gupta efficiency) for CCS–CDR (CDR) during the calibration and validation periods were 0.42 (0.34) and 0.45 (0.24), respectively. In the second calibration process, PDIR was considerably better than CCS (EKGE for calibration and validation periods ~ 0.83, 0.82 for PDIR vs. 0.12 and 0.14 for CCS). The results demonstrate the capability of the two newly developed datasets (CCS–CDR and PDIR) of accurately estimating precipitation as well as hydrological simulations.

Prediction of Acute and Chronic Mastitis in Dairy Cows Based on Somatic Cell Score and Mid-Infrared Spectroscopy of Milk.

Simple SummaryMid-infrared (MIR) spectroscopy is the method of choice to determine milk components like fat, protein and urea. We examined the potential of MIR spectra analyses for the prediction of clinical mastitis events of dairy cows additionally, or alternatively, to somatic cell count, which is routinely used as an indicator for mastitis monitoring. Prediction models based on MIR spectra and a somatic cell count-derived score (SCS) were developed and compared. A model based on MIR spectra and SCS proved more accurate at predicting mastitis than models based on either indicator alone. Consequently, MIR spectra analyses add extra value in the prediction of clinical mastitis, making them potentially useful for dairy farm management and as an auxiliary trait for the genetic evaluation of udder health.Monitoring for mastitis on dairy farms is of particular importance, as it is one of the most prevalent bovine diseases. A commonly used indicator for mastitis monitoring is somatic cell count. A supplementary tool to predict mastitis risk may be mid-infrared (MIR) spectroscopy of milk. Because bovine health status can affect milk composition, this technique is already routinely used to determine standard milk components. The aim of the present study was to compare the performance of models to predict clinical mastitis based on MIR spectral data and/or somatic cell count score (SCS), and to explore differences of prediction accuracies for acute and chronic clinical mastitis diagnoses. Test-day data of the routine Austrian milk recording system and diagnosis data of its health monitoring, from 59,002 cows of the breeds Fleckvieh (dual purpose Simmental), Holstein Friesian and Brown Swiss, were used. Test-day records within 21 days before and 21 days after a mastitis diagnosis were defined as mastitis cases. Three different models (MIR, SCS, MIR + SCS) were compared, applying Partial Least Squares Discriminant Analysis. Results of external validation in the overall time window (−/+21 days) showed area under receiver operating characteristic curves (AUC) of 0.70 when based only on MIR, 0.72 when based only on SCS, and 0.76 when based on both. Considering as mastitis cases only the test-day records within 7 days after mastitis diagnosis, the corresponding areas under the curve were 0.77, 0.83 and 0.85. Hence, the model combining MIR spectral data and SCS was performing best. Mastitis probabilities derived from the prediction models are potentially valuable for routine mastitis monitoring for farmers, as well as for the genetic evaluation of the trait udder health.

Attention Deficit Hyperactivity Disorder Assessment Based on Patient Behavior Exhibited in a Car Video Game: A Pilot Study.

Symptoms of Attention Deficit Hyperactivity Disorder (ADHD) include excessive activity, difficulty sustaining attention, and inability to act in a reflective manner. Early diagnosis and treatment of ADHD is key but may be influenced by the observation and communication skills of caregivers, and the experience of the medical professional. Attempts to obtain additional measures to support the medical diagnosis, such as reaction time when performing a task, can be found in the literature. We propose an information recording system that allows to study in detail the behavior shown by children already diagnosed with ADHD during a car driving video game. We continuously record the participants’ activity throughout the task and calculate the error committed. Studying the trajectory graphs, some children showed uniform patterns, others lost attention from one point onwards, and others alternated attention/inattention intervals. Results show a dependence between the age of the children and their performance. Moreover, by analyzing the positions by age over time using clustering, we show that it is possible to classify children according to their performance. Future studies will examine whether this detailed information about each child’s performance pattern can be used to fine-tune treatment.

Perancangan Sistem Informasi Pencatatan Dan Pengarsipan Surat Masuk Serta Surat Keluar Di Dekanat Fakultas Teknik Universitas Sebelas Maret Surakarta

ABSTRACT Correspondence activities are still needed and as proof of a valid document. The Faculty of Engineering, Universitas Sebelas Maret Surakarta (UNS) still uses letters to establish communication with outside parties. Good mail management will provide positive benefits for the agency. Considering the function of the letter which is quite important, it is better for the Faculty of Engineering, UNS, to ensure that the letter storage process can be carried out by following the agenda system procedure. Based on this background, the formulation of the problem to be solved in this research is "How to design an information system for incoming and outgoing letters at the Dean of the Faculty of Engineering UNS". The method used for the development of information systems is the System Development Life Cycle (SDLC) with the Waterfall model. The programming language used is PHP Native and MySQL database. The result of this research is the design of an information system for recording and filing letters that can be implemented at the Dean of the Faculty of Engineering, UNS. The design of this letter recording and archiving information system is expected to be used to manage letter data at the Dean of the Faculty of Engineering UNS properly following the agenda system procedure.

Medical Record Information System with Rapid Application Development (RAD) Method

Computer technology that is increasingly developing has created a situation that demands everything to be computerized. Science from technology has also changed the way of life of most Indonesians. The presence of information and communication technology affects the technology applied in information systems, especially the input and output mechanisms. One of them is at the Clinic which requires computer technology in its operations. The design of this website also uses 3 stages of Rapid Application Development (RAD) system design, the result of which is a website for a medical record information system. In order for clinical activities to run smoothly at the Clinic, an information system using the Rapid Application Development (RAD) method is needed because the software development process model is classified as an incremental technique and emphasizes short, short, and fast development cycles. Medical record system testing will be tested using Blackbox Testing and User Acceptance Test (UAT) testing.

Aerial Monitorization—A Vector for Ensuring the Agroecosystems Sustainability

This paper is based on the modernization of work processes in agriculture by ensuring the efficient management of land and equipment and the acquisition of inputs given the specific natural variation in environmental conditions. Specifically, the paper highlights research from a dual perspective, descriptive and explanatory, according to the methodology of the case study conducted in the field of the agricultural enterprise SC AgriConsorțium SRL, located in the S–W of Romania, by adopting the spatial technology for the aerial monitorization of agricultural crops and for signalizing, in real time, the changes and vulnerabilities of the agroecosystem in order to function and develop sustainably. The research aims to promote spatial technologies to monitor crop growth resources, crop vegetation conditions, the real-time signaling of changes, and vulnerabilities in the agroecosystem. The research study’s results highlight the role of the aerial monitoring of crops and rapid signaling of changes in the agroecosystem, such as vegetation conditions, plant density, quality of applied work, and the destruction of crops by overgrazing for the rapid and relevant assessment of affected areas and damage. The case study of the paper is a modern, innovative, and sustainable tool for digitizing agricultural enterprises to obtain accurate information on changes in the agroecosystem and to adopt a geographical information system for recording and managing data specific to cultivated areas and their use in providing studies and reports necessary for state institutions, respectively, in order to support and guide the decision-making process. The obtained results are the basis for future research on the interpretation and use of information obtained by drones.

Development of Corporate Digital Archives in the Industrial Age 4.0

CV. Ziefa Karya is a company in Labuhanbatu which is engaged in construction contractors who have experience in working on national projects. CV. Ziefa Karya has used computer applications in daily data processing. However, archive storage and management is still done manually. The current filing system can be said to be still less efficient and effective because the incoming and outgoing mail data is often not in accordance with the actual incoming and outgoing mail data. For that we need a solution to overcome this problem. This study aims to build an information system that can be used to manage digital-based archives in CV. Zief Karya. The information system built is web-based. System development using the waterfall model. This research has produced an archive management information system on CV. Ziefa Karya web-based. The result of this research is a website-based mail filing system on CV. Ziefa Karya which has various uses such as data collection of incoming and outgoing letters, details of incoming and outgoing letters, classification of types of letters, disposition of incoming letters, reports of incoming and outgoing letters, and printing of reports of incoming and outgoing letters, as well as printing disposition sheets. Records management information system on CV. Ziefa Karya is able to provide convenience for admins and users in managing digital-based archives. To build a web-based archive information system on CV. Ziefa Karya, development must be carried out by applying the stages in the Waterfall method.

Short-course intravenous antibiotics for young infants with urinary tract infection

ObjectiveShorter courses of intravenous antibiotics for young infants with urinary tract infection (UTI) have myriad advantages. As practice shifts toward shorter intravenous treatment courses, this study aimed to determine the...

Stimulant-related incident surveillance using emergency medical service records in Massachusetts, 2013–2020.

BackgroundAs stimulant use increases across the United States, emergency medical services (EMS) are crucial touchpoints in the health care system. To better measure the prevalence of stimulant use, misuse, and EMS incidents related to stimulant intoxication, definitions for stimulant-related incidents (SRIs) are needed. MethodsWe used the Massachusetts Ambulance Trip Record Information System (MATRIS) from 2013 to 2020 to develop definitions of stimulant-related incidents. EMS runs reported to MATRIS were categorized based on stimulant-related words and symptoms. The three tiers were “any stimulant use” (class 1), “problematic stimulant use” (class 2), and “acute stimulant-related incidents” (class 3). A group of four reviewers studied over 650 cases in eight rounds to refine the search terms, achieving definitions with a correct characterization of over 80% of cases that the code selected. ResultsSRI definitions were applied against all EMS runs within Massachusetts between 2013 and 2020 (n = 6,584,836 runs). Of these, 43,538 (0.7%) met the class 1 definition, 38,669 (0.6%) met the class 2 definition, and 19,157 (0.3%) met the class 3 definition. Incidents at all tiers of severity increased over time and were more likely to occur among younger adults and males. Race and ethnicity data indicated that Hispanic/Latinx and Black non-Hispanic/non-Latinx residents formed a disproportionately large percentage of SRIs relative to their total percentage of EMS runs. ConclusionsThe prevalence of all three tiers of SRIs are increasing in Massachusetts, and this protocol provides a source of administrative data on stimulant use that complements sources such as hospital, treatment-based, and/or prescribing records.

Regional health information exchange outside of the centralized national services for public health care in Finland: A national survey

Health information exchange (HIE) is the mobilization of health care information electronically across organizations within a region, community, or hospital system. Nordic countries have been developing their health portals including national HIE services systematically. In Finland HIE begun with various regional health information exchange (RHIE) pilots in since 1998. The Kanta patient data repository component in the national HIE has been adopted in routine use since 2012. The current role of non-Kanta RHIE in relation to Kanta services is somewhat unclear. Our research questions are following: 1) Has the availability of RHIE services changed during 2017-2020? 2) What functional types of RHIE are there in Finland in 2020? 3) From the point of view of healthcare provider organizations, at what level is the availability to combine regional information seamlessly into the same view of local patient record systems? Data used in this study were collected using web-based questionnaires in 2017 and 2020 as part of the surveys for monitoring and assessment of social welfare and health care information system services in Finland. This study reported in this article covers all 21 public hospital districts and nearly all public primary health care centers. The quantitative data provided by the organizations were analyzed using SPSS software (version 25). The availability of a particular service or function was calculated as a percentage of all respondents in each sector. The results of this study show that the overall availability of RHIE services has not markedly changed 2017-2020. Functional types of RHIE meaning the role, use and types of RHIE in hospital districts in Finland varies greatly in 2020. We recognized three different types of non-Kanta RHIE in the non-combination organizations (one-way, symmetrical, full symmetrical). Seamless integration of at least some Kanta data into the same view as the main patient health record system data was more common than seamless integration of at least some non-Kanta regional data.

Examination of the Coating Method in Transferring Phase-Changing Materials

This study intends to identify the characteristics of heat regulation in heat storage microencapsulated fabrics and to examine the effect of the microcapsules application method. For this purpose, phase-changing material (PCM) microcapsules were applied by impregnation and coating methods on cotton fabrics. The presence and distribution of microcapsules on the fabric surface were investigated by scanning electron microscopy (SEM). The temperature regulation of the fabrics was examined using a temperature measurement sensor and data recorder system (thermal camera). According to the differential scanning calorimetry (DSC) analysis, melting in fabrics coated with microcapsules occurred between 25.83°C–31.04°C and the amount of heat energy stored by the cotton fabric during the melting period was measured as 2.70 J g−1. Changes in fabric surface temperature due to the presence of microcapsules in the fabric structure were determined. When comparing the PCM capsules transfer methods, the contact angle of impregnated and coated fabric was obtained as 42° and 73°, respectively. Analysis of the microcapsules transferred to the fabric by impregnation and coating methods shows that the PCM transferred fabric prepared by the impregnation method performs more efficient temperature regulation. However, the analysis shows that PCM transferred fabrics prepared by coating also perform heat absorption, although not as much as the impregnation method. Performance evaluation according to the target properties of the textile will give the most accurate results for fabrics treated by coating and impregnation methods.

Puskesmas Medical Record Information System (Case Study: Gedangan Health Center, Sidoarjo Regency)

Puskesmas Gedangan, Sidorajo District, in recording Medical Record and administration of patient visit and data processing to patient still manual, so administrative process takes a little time, either in handling patient, or in case of making report. Medical Record Information System of Gedangan Public Health Center of Sidoarjo Regency, Medical Record Tool, Patient Data, Drug Data, Action Data, Doctor Data, and admin configuration, but the system is not built all the services in Puskesmas Gedangan Sidoarjo District. In this research used the Waterfall method, where the means to analyze the problems that occurred in Gedangan Public Health Center of Sidoarjo Regency and a Medical Record Information system which was immediately implemented in the form of computer based application. The results of research on the application of Medical Record Information System, at Public Health Center of Gedangan Kabuaten Sidoarjo, on the guided performance of the employees, so that the process of health services to the community can be done quickly and avoid the mistakes in making the patient's Medical Record report.

Design of Information System Vaccination Report Data Logging Web-Based Using Waterfall Method (Case Study at Bandung Health Office)

Abstract
 Currently, the field vaccination data reporting activities held by health care facilities (Fasyankes) in collaboration with Bandung Health Office are still done manually, it results in the process of recording vaccination report data takes a lot of time so that it becomes inefficient and also vulnurable to the accumulation of patient data or data redudancy at the time of input of vaccine patient data and it makes the process of activities recording becomes ineffective. The purpose of this study is to create a report data recording information system that can make it easier for vaccination officers to faciliate the input of patient data has been vaccine and make reports of patient data has been vaccine and make reports of patient data has been vaccine with the provosion of a print feature of the report as well as the final results of accurate data information. The system is built using PHP programming language, Bootsrap UI and MySQL Database also use Waterfall Method by Roger S.Pressman which this method helps the author in creating system design, design, testing and system implementation. The result of this study is the creation of Web-Based Information System Data Report use Waterfall Method that can be used directly by the health care facility vaccination officer (Fasyankes) do together with the vaccination officer from the bandung health office at the time of field activities.
 Keywords: Data Reports, Software Engineering, Vaccine Covid-19.

Rancang Bangun Sistem Informasi Rekam Medis Klinik Rawat Jalan Berbasis Web

The world of health is currently experiencing very rapid progress both in developed and developing countries, the clinic is one of the service units engaged in the health sector, with the development of Science and Technology (IPTEK) in the health sector, health service providers are required to Providing effective and efficient services is an absolute requirement in order to achieve optimal service. One of the vital parts in health services is the medical record unit. In the recording of medical record documents, there are still many things that are done conventionally, resulting in delays in information, therefore a computerized/electronic recording method is needed.
 Medical record documents are made electronically to avoid lost documents, take up storage space, and avoid inconsistencies in filling out medical record documents. The completeness of the items contained in the medical record also greatly affects the quality of the information produced. The web-based medical record information system allows various information from various sources to be stored and processed and communicated to retrieve the processed results.
 By applying information technology in managing medical record data, it is able to provide convenience in managing medical record data to making the required reports. The purpose of this study is to create a web-based clinical medical record information system application and to find out the flow and procedures of a web-based clinical medical record information system, so that data and information can be stored and managed effectively and efficiently. This research is expected to provide convenience in recording medical records in outpatient clinics and can provide better services to be able to improve the quality of service to patients.

RANCANG BANGUN SISTEM INFORMASI REKAM MEDIS PASIEN BERBASIS WEBSITE PADA KLINIK BIDAN YANTI

A medical record is a file containing records and documents regarding patient identity, examination, treatment, actions and other services that have been provided to patients at health care facilities. The practice of providing services, especially in improving the welfare of mothers and children, is a health service provider. In managing medical records at the Yanti Midwife Clinic, they still use the manual method, so it takes time and energy to process patient medical records for data that is still in paper form so that the required reports cannot be directly provided. The system is built using the PHP programming language and MySQL database. The system design uses UML and uses the waterfall method as a system development method. The results of the study are in the form of a web-based patient medical record information system that can assist in the processing of patient data at the Yanti Midwife Clinic.

Prevalence and Clinical Characterization of Bocavirus Infection in a Specialized Children's Hospital in Saudi Arabia.

AimThe aim of this study was to assess the prevalence and clinical characterization of bocavirus infection in patients admitted with respiratory symptoms to a specialized children’s hospital in Riyadh, Saudi Arabia.MethodsThis is a retrospective cross-sectional study that included children aged 0-14 years and was conducted over a two-year period (2017-2019). All data were gathered from an electronic information recording system, which included patients’ demographics, comorbidities, clinical presentation, complication, and duration of hospitalization.ResultsAmong all patients (11,709) admitted to King Abdullah Specialized Children’s Hospital with predominant respiratory symptoms during the study period, 193 (1.6%) patients had bocavirus infections. Most of the patients were diagnosed in winter months. Cough was the primary presenting symptom (91.7%) followed by fever (83.4%). Gastrointestinal symptoms were also common (anorexia in 62% and vomiting in 39%). In 80% (n=154/193) of cases, bocavirus co-existed with other viruses, namely, human rhinovirus (45.8%), human adenovirus (31.2%), and respiratory syncytial virus type A (17.5%). Moreover, those who required oxygen supply stayed longer in the hospital (p<0.001) and were more likely to receive multiple medications such as bronchodilators (p<0.001), corticosteroids (p<0.001), and nebulized racemic epinephrine (p>0.05). Children infected with bocavirus and co-existing viruses were less likely to require oxygen supply (p<0.050).ConclusionBocavirus infection is more common during winter months and predominantly affects respiratory and gastrointestinal systems in children. More studies are needed to evaluate the global impact of this recently recognized infection.

PEMANFAATAN UML (UNIFIED MODELING LANGUAGE) DALAM PERANCANGAN SISTEM INFORMASI REKAM MEDIS SEDERHANA PADA KEGIATAN POSBINDU PTM

The Integrated Non-Communicable Diseases Development Post (Posbindu NCD) is a form of health empowerment and public knowledge about non-communicable diseases that have a greater risk. In this Posbindu NCD, of course there are activities and steps that have been determined. The purpose of this study was to determine the concept of Posbindu NCD itself and the use of UML (Unified Modelling Language) to develop a simple medical record information system. The use of UML is done because in the characteristics of UML there is the possibility of identification of any objects that affect the system. The research method used is literature review and interviews with cadres on duty. Meanwhile, the journal criteria used are in the 2011-2020 range. The results of this study indicate that Posbindu NCD is very useful for early detection of non-communicable diseases and the use of UML to develop a simple medical record information system is very efficient.)