Manual Recording Research Articles

DESIGNING AN E-KANBAN SYSTEM TO IMPROVE DRUG AVAILABILITY AND MINIMISE INVENTORY WASTE AT THE HOSPITAL PHARMACY INSTALLATION

In an effort to provide a high level of service to hospitals, pharmaceutical installations are often faced with problems in monitoring and determining adequate drug supply levels to respond to demand, both from outpatient and inpatient units. Inventory control by hospital pharmacies is often carried out without being supported by accurate information systems or control methods, resulting in excess inventory levels which leads to higher inventory costs. This study aims to identify and develop an e-kanban system suitable for the scope of hospital pharmacy. E-kanban as a method of controlling inventory through a simple reliable information system is expected to minimize inventory waste that occurs. The e-kanban system coupled with the use of barcodes and portable scanners is expected to provide more accurate information on drug availability. Inventory monitoring and control is expected to be much easier, both at the time of replenishment and during periodic stock-taking. The implementation of the e-kanban system is also able to eliminate waste, card use and manual recording activities, replaced by the use of simpler two-bin containers. The e-kanban system can also be integrated into the existing Hospital Information System, without disrupting the running system.

Penerapan Sistem Informasi Website Absensi dengan RFID Berbasis IoT di PT. Eksgon Brother

The expansive number of laborers spread over different offices in a private retail traderequires an proficient time following framework for its workers. This causes teach andinfluences the work execution of each worker. Manual recording and participationframeworks for representatives who are still in utilize result in misplaced time and otherinfringement. Computers are information handling apparatuses that can turn this timeadministration framework into an programmed and valuable framework. In this manner,uncommon information collection is required to record participation and nonattendanceso that work exercises can be recorded precisely and in genuine time. There are numerousways to induce a great time following data framework. One way is to utilize a computerwith a web-based time following application. At PT Eksgon Brother, the framework utilizedwithin the time recording handle is continuously manual and employments a every dayparticipation book, so that it has an affect on the effectiveness and adequacy in collectingand collecting information and its calculation takes a moderately long time. With thechance of blunders and misfortune of participation information is expanding. Based on theover issues, an representative timekeeping data framework was made at PT. EksgonBrother.

Surveillance of surgical site infections using artificial intelligence

Abstract Background Surgical site infection (SSI) is a major health problem associated with high morbidity and mortality, the consequences of which can be very serious for the patient and costly for the organisation. Surveillance systems provide insight into the incidence of SSI, the analysis of which enables improvement plans to be established to reduce it. Traditionally, surveillance systems have been based on manual medical record review for evidence of the presence of surgical infection. Objectives To create and validate a global SSI diagnostic algorithm and to optimise the SSI workload of Preventive Medicine services. Methods The study population included patients undergoing surgical procedures of rectal surgery, colon surgery, knee replacement surgery, hip replacement surgery, coronary bypass and valve surgery, at the Hospital Universitario Vinalopó in Elche (n = 1240). Data mining was used to collect clinical, microbiological and postoperative follow-up values from the electronic medical record. Machine Learning techniques were used to train (n = 1054) and validate the model (n = 186). Time spent on SSI surveillance of the preventive medicine service was measured. Results Model performance after validation was: sensitivity of 0.83 specificity of 0.87, accuracy of 0.87, an F1 score of 0.45, and an area under the curve of 0.87. The time spent by preventive medicine staff in identifying patients with surgical site infection decreased from 168 person-hours per procedure per quarter to 34 person-hours, a 77% reduction in the workload allocated to this task. Conclusions This project not only improves surveillance efficiency, but also optimises the workload in Preventive Medicine services very significantly. Key messages • This project improves the efficiency of surgical site infection surveillance and significantly optimises the workload in preventive medicine departments. • It makes it possible to extend surveillance to new surgical procedures and to work more intensively on preventive measures.

Application and integration of computer vision technologies for automated recognition and recording of chemical experiments

Abstract Advancements in computer vision have significantly improved motion and object recognition accuracy. These advancements should aid the automatic recognition of chemical experiments, potentially contributing to the recording of experiments. Creating an electronic laboratory notebook from experiment filming enhances convenience and allows more detailed information storage compared to traditional manual recording methods. Our previous research focused on employing object detection and action recognition to automate the recognition of chemical experiments. This paper presents a novel system that combines object detection, action recognition, multiple object tracking, and barcode recognition to automatically generate experimental flowcharts. We implemented our system as a graphical user interface-based application for laboratory use that successfully constructs flowcharts from videos of chemical experiments, including simple chemical manipulations.

Machine Learning-Aided Dual-Function Microfluidic SIW Sensor Antenna for Frost and Wildfire Detection Applications

In this paper, which represents a fundamental step in ongoing research, a new smart low-energy dual-function half-mode substrate integrated waveguide cavity-interdigital capacitor (HMSIWC-DIC) antenna-based sensor is developed and investigated for remote frost and wildfire detection applications at 5.7 GHz. The proposed methodology exploits the HMSIW antenna-based sensor, a microfluidic channel (microliter water channel (50 μL)), interdigital capacitor technologies, and the resonance frequency parameters combined with machine learning algorithms. This allows for superior interaction between the water channel and the TE101 mode, resulting in high sensitivity (∆f/∆ε = 5.5 MHz/ε (F/m) and ∆f/∆°C = 1.83 MHz/°C) within the sensing range. Additionally, it exhibits high decision-making ability and immunity to interference, demonstrating a best-in-class sensory response to weather temperature across two ranges: positive (≥0 °C, including frost and wildfire) and negative (<0 °C, including ice accumulation). To address the challenges posed by the non-linear, unpredictable behavior of resonance frequency results, even when dealing with weak sensor antenna responses, an innovative sensory intelligent system was proposed. This system utilizes resonance frequency results as features to classify and predict weather temperature ranges into three environmental states: Early Frost, Normal, and Early Wildfire, achieving an accuracy of 96.4%. Several machine learning techniques are employed, including artificial neural networks (ANNs), random forests (RF), decision trees (DT), support vector machines (SVMs), and Gaussian processes (GPs). This sensor serves as an ideal solution for energy management through its utilization in RF-based weather temperature sensing applications. It boasts stable performance, minimal energy consumption, and real-time sensitivity, eliminating the necessity for manual data recording.

Measuring and modelling functional moat area in perennially ice-covered Lake Fryxell, Antarctica

ABSTRACT The perennially ice-covered lakes of the McMurdo Dry Valleys (MDVs), Antarctica, are an important reservoir of liquid water in an arid and largely frozen environment. During the austral summer, the margins of these ice covers melt, forming a “moat” of liquid water and thin ice, allowing exchange between lake waters and the atmosphere to occur and serving as an interface between lake, soil, and stream ecosystems. The size of these moats varies from year to year. Here, we have established the first published record of moat area changes at MDVs’ Lake Fryxell through time using manual traces of the moat as observed via satellite imagery. We have also tested a semi-automated approach for measuring moat area and found that it consistently underestimated the manual record, which we suspect may be due to the lower spatial resolution of images used in this versus the manual approach. Finally, we developed a predictive model based on readily available climate data, allowing moat area to be predicted beyond the limits of the satellite-based records. We found that functional moat area varies annually, potentially influencing ecosystem processes in the moats.

Innovative android application for anthropometric assessment of nutritional status in boys aged 0-59 months

<p><strong><em>Background: </em></strong><em>Smartphone users in Indonesia mostly use smartphones to access mobile applications rather than mobile websites. As many as 82% of smartphone users in Indonesia access mobile applications while the remaining 9% of users each access mobile websites and websites via desktop. The majority of the population of smartphone users who access mobile applications come from productive age, namely 75% from 18-24 year olds and 79% from 25-34 year olds. The survey results prove that the development of information technology in mobile technology has developed rapidly. These technological developments have resulted in changes and developments in all fields, one of which is the health sector. </em></p><p><strong><em>Objectives: </em></strong><em>The aim of this research is to design and create Android-based anthropometry of nutritional status aged 0-59 months. which can be downloaded via the cell phone used by Posyandu cadres.</em></p><p><strong><em>Methods:</em></strong><em>.</em></p><p><em>This research developed an innovative Android application to assess the nutritional status of boys aged 0-59 months using the Waterfall development method in the Software Development Life Cycle (SDLC). This approach starts from requirements analysis, system design, coding, testing, to implementation and maintenance, which is carried out in a linear and gradual manner to ensure that each phase of development runs in a structured manner and produces effective and high-quality applications.</em></p><p><strong><em>Results: </em></strong></p><p><em>The research results show that this anthropometric application significantly increases the efficiency and effectiveness of Posyandu cadre service time. By reducing the need for manual recording and calculations, this application speeds up the process of assessing the nutritional status of children aged 0-59 months, reduces errors, and allows cadres to focus more on direct interactions with mothers and children, thereby improving the overall quality of services.</em></p><p><strong><em>Conclusions: </em></strong><em>Android-based Anthropometric Application for Nutritional Status Age 0-59 Months is a digital tools.</em><em></em></p>

Development of a QR Code-Based Inventory System and Consumable Material Management using Django Python

Inventory management and consumable materials in educational institutions, particularly at the Faculty of Health at Nurul Jadid University, face significant challenges. Current manual recording and reporting methods are prone to errors, leading to operational inefficiencies and financial risks, especially given the high cost of medical equipment. In addition, unrecorded inventory data can be lost, and consumable materials can either run out prematurely or accumulate unused. Lack of transparency and accuracy in tracking further complicated planning and decision-making. QR Code technology and the Django Python framework are widely used in other industries; however, their application in education, particularly healthcare, remains underexplored. Unlike previous studies that primarily focused on commercial applications, this study delves into the underexamined area of healthcare inventory management in educational settings, offering a scalable and efficient solution using modern technology. This study addresses these empirical and research gaps by developing a QR Code-based inventory system using Django Python to manage consumable materials at the Faculty of Health. The proposed system enhances efficiency, accuracy, and transparency by providing real-time data for better decision-making. The evaluation will focus on reliability, user-friendliness, ease of access, response time, and user satisfaction. This research not only contributes to the literature on technology applications in education but also provides a practical model for other institutions.

App-Based Volleyball Scoreboard Performance Evaluation

Study purpose. This research aims to develop and evaluate an application-based volleyball scoreboard game device designed to facilitate the process of recording and managing scores in real time. Materials and methods. This research uses the R&D development method which aims to develop a device-based volleyball game scoreboard application. This research involved 3 IT experts, 5 referees who acted as evaluators of the initial product that had been developed. In addition, there were 5 samples in the small-scale test and 30 samples in the large-scale test. Results. The results of the analysis of the development of application-based volleyball scoreboard game devices by conducting feasibility / justification tests involving economic, technical, business and environmental aspects by refereeing experts, which obtained an average value of 91.60%, where the value was included in the very good category. While the results of the analysis of IT experts obtained an average value of 90.89%, where the value is included in the very good category. The results of the analysis of the effectiveness of the media development of the application-based volleyball scoreboard game device through a small scale test, which obtained an average value of 92.63%, which means it can be concluded that the development model of the application-based volleyball scoreboard game device that has been developed can be implemented/applied with a very good category. Meanwhile, the results of the large-scale test or broad-scale test obtained an average value of 90.94%, which means it can be concluded that the development model of the application-based volleyball scoreboard game device that has been developed is in the excellent category. Conclusion. In conclusion, this application-based volleyball scoreboard game device can be an effective solution to overcome the obstacles of manual score recording, while improving the quality of organising volleyball matches

Inhibition of hERG K channels by verapamil at physiological temperature: Implications for the CiPA initiative

The Comprehensive in vitro Proarrhythmia Assay (CiPA) initiative reassesses using the inhibition of hERG potassium channels by drugs as the major determinant for the potential to cause drug-induced Torsades de Pointes (TdP) cardiac arrhythmias. Here we report our findings on the next phase of CiPA: Determination of hERG inhibitory properties using the standard CiPA-defined data acquisition protocol, here called the standard protocol, at physiological temperature (37 degrees Celsius). To do this, we measured inhibition of hERG1a potassium channels stably expressed in HEK293 cells by the small molecule verapamil, using manual whole-cell patch-clamp electrophysiology recordings with the standard protocol, which is characterized, in part, by a series of 10 s duration voltage steps to 0 mV, ultimately leading to a cumulative recording time of approximately 30 min. Using the standard protocol, we measured an IC50 for verapamil of 225 nM, a Hill coefficient of 1, and time constant of inhibition at 0 mV of 0.64 s. But, using the standard protocol resulted in a very low (5 %) experimental success rate per cell, which had low practicality for future experiments. To address the 5 % success rate, we generated a revised protocol characterized, in part, by a series of 3 s duration voltage steps to 0 mV, leading to a cumulative recording time of approximately 10 min. Using the revised protocol, we found an IC50 for verapamil of 252 nM, a Hill coefficient of 0.8, and time constant of inhibition at 0 mV of 0.67 s. The values measured with the revised protocol were similar to those measured using the standard protocol and, furthermore, our success rate using the revised protocol rose to 25 %, an increase of 5-fold over the standard protocol, and more in line with the success rate for biophysical studies. In summary, we captured key pharmacological data for subsequent analysis in CiPA using a revised protocol with an increased success rate and an overall enhanced feasibility and practicality. We propose that the revised protocol may be more pragmatic for generation of some hERG channel drug inhibition data for CiPA and other regulatory sciences.

Pelatihan Digital Accounting guna Peningkatan Kinerja Keuangan UMKM

This community service program aims to improve the financial performance of Micro, Small, and Medium Enterprises (MSMEs) in the Bandulan sub-district of Malang city through digital accounting training. This training is designed to improve understanding of basic accounting concepts and the use of accounting software to facilitate the recording of financial transactions that previously used manual recording. The training activities were carried out online and offline and were attended by 10 MSME participants, either as owners or in the finance department. The implementation method used was lectures to convey basic accounting concepts for MSMEs and practice operating digital accounting applications. The results of monitoring and evaluation showed that the value of MSME partners was at least 75 points, which means that partners can absorb the knowledge that has been carried out by the service team well. The results of this service can improve financial performance and effective and efficient management decision-making.

ARCHITECTURE DESIGN OF HEALTH ASSET DETECTION SYSTEM IN HOSPITAL

Efficient management of hospital assets is essential to ensure that operations can run optimally and the quality of health services is good. However, the recording and management of assets in hospitals carried out manually often causes data errors, information mismatches, and also assets are only known by the manager without being explicitly recorded. In overcoming this problem, the researcher aims to develop a hospital asset detection system architecture using an iterative and incremental methodology approach. The stages of this system development include identification of needs and conceptual models, logical architecture design, conceptual architecture design, logical architecture, physical architecture, technology selection, and evaluation. This system utilizes YOLO model reading technology for asset detection and identification, storing detection results into a local database using SQLite3, sending data to a central server via API, and post-processing data by selecting the highest confidence score stored in a MySQL database and then using the data to manage asset management and asset visualization. The implementation of this system successfully reduces manual recording time, improves asset visibility, and optimizes resource usage, thus contributing to the improvement of efficiency and quality of health services.

Development of a Web-Based Cash Receipt Accounting Information System at the BNN Pratama Clinic, Banjarmasin City

The BNN City Health Clinic in Banjarmasin requires an effective and efficient system to manage cash receipt records to ensure smooth operations and optimal health services. In this research, the author employs a qualitative method using both qualitative and quantitative data, with data collection methods including interviews, observations, and literature studies. The author highlights the issue of manual cash receipt recording, which not only reduces effectiveness and efficiency but also increases the likelihood of errors. The author recommends the immediate design and implementation of an accounting information system specifically designed for the purpose of recording cash receipts. This system must be able to accurately record every transaction, issue payment receipts, and generate the necessary financial reports. Additionally, we must implement the segregation of duties in the cash receipt process to mitigate the risk of errors and fraud. It is also important to implement strict internal controls to ensure transaction accuracy and auditability.

O85 THE ACCEPTANCE, ADOPTION AND ACCESSIBILITY OF HEALTH TECHNOLOGICAL MANAGEMENT ON HOME BLOOD PRESSURE AMONG 18,867 PARTICIPANTS IN HONG KONG

Objective: Various health-related Apps have been launched to aid home blood pressure (HBP) self-management. This study aimed to investigate the acceptance, adoption, and accessibility of the HBP self-monitoring App using either photo recognition or manual input for the HBP records in Asia population. Design and Method: The participants downloaded HealthCap, the HBP self-monitoring App, aged 18 or above with at least 10 BP records were included. Elderly participants were selected from a community-based cohort for HBP self-monitoring. Well-being surveys were conducted to assess the demographic and morbidity. All participants were categorized into 2 groups, photo recognition and manually record input. Photo recognition was defined as using camera to capture the numbers on BP device for BP record upload. Manual record input was defined as selecting the number on the App. Logistic regression has been used to investigate the predictors among the group of photo recognition and manual input. Results: Total of 2,284,026 BP records collected from 18,867 participants in Hong Kong from June 2018 to November 2023. Among the 8,970 participants who met the inclusion criteria, BP records collected by photo recognition, manual input and mixture of both methods were 2,475(28%), 2,621(29%) and 3,892(43%) respectively. The mean frequency of weekly BP measurement was 4.21±7.91 times, the mean duration was 16 months, maximum was 37 months. The mean age of the participants using photo recognition, manual input and mixture were 63.81±13.14, 65.09±13.49 and 64.43±12.87 respectively. A subgroup of 1,321 elderlies aged 55 or above was analyzed with their characteristics. Logistic regression was applied to compare the group of photo recognition and manual input (Table 1). Elderlies living with children tended to use photo recognition. Less sarcopenia and those self-reported memory complaint without worries also tended to use photo recognition. Conclusion: Younger age, lower morbidity, and living with children are associated with higher usage of photo recognition for HBP self-management. Elderlies showed high acceptance, adoption, and accessibility of health technological management. Table 1. Multivariate Analysis for the Usage of Photo Recognition on Blood Pressure Monitoring.

Towards Automated Accessibility Report Generation for Mobile Apps

Many apps have basic accessibility issues, like missing labels or low contrast. To supplement manual testing, automated tools can help developers and QA testers find basic accessibility issues, but they can be laborious to use or require writing dedicated tests. To motivate our work, we interviewed eight accessibility QA professionals at a large technology company. From these interviews, we synthesized three design goals for accessibility report generation systems. Motivated by these goals, we developed a system to generate whole app accessibility reports by combining varied data collection methods (e.g., app crawling, manual recording) with an existing accessibility scanner. Many such scanners are based on single-screen scanning, and a key problem in whole app accessibility reporting is to effectively de-duplicate and summarize issues collected across an app. To this end, we developed a screen grouping model with 96.9% accuracy (88.8% F1-score) and UI element matching heuristics with 97% accuracy (98.2% F1-score). We combine these technologies in a system to report and summarize unique issues across an app, and enable a unique pixel-based ignore feature to help engineers and testers better manage reported issues across their app’s lifetime. We conducted a user study where 19 accessibility engineers and testers used multiple tools to create lists of prioritized issues in the context of an accessibility audit. Our system helped them create lists they were more satisfied with while addressing key limitations of current accessibility scanning tools.

Analisis Penerapan Sistem Informasi Akuntansi dan Pengendalian Internal Persediaan Bahan Baku pada Coffee Station

This research was conducted at a company engaged in manufacturing, called Coffee Station. This research aims to find out how the accounting information system is implemented and the implementation of internal control of raw material inventory at the Coffee Station. This research method uses a qualitative method with a descriptive approach. Data collection techniques used were documentation and interviews with several employees at the Coffee Station. The results of this research indicate that the implementation of the raw material inventory accounting information system is still carried out manually, due to human resources who are less competent in the fields of accounting and computerization. However, they have implemented good procedures so that there is no shortage of raw material supplies. The implementation of internal control over raw material supplies has not been fully effective. Company management has implemented several internal control concepts and principles, however manual recording can pose risks to the company and in control activities there are still dual functions in the purchasing and recording of raw materials.

Pengembangan sistem informasi penjualan berbasis web pada toko wallpaper dengan metode prototype

Sales information systems are a crucial component for companies, including Toko BIFFA Wallpaper, which requires increased efficiency in product sales. The current manual system causes various problems such as manual recording of transactions, income, and expenses, as well as ineffective archiving and management of daily and monthly financial reports. This research aims to build and implement a web-based sales information system to facilitate cashiers and owners of Toko BIFFA Wallpaper Kepanjen in managing, storing, and searching transaction data and reports. The method used is the prototype method, which includes needs analysis, rapid design, prototype construction, initial user evaluation, prototype improvement, and system development. The system is developed using PHP programming language and MySQL database, with testing conducted using the blackbox technique. The test results show that the system's appearance and features function well and meet user needs. This research concludes that the developed web-based sales information system significantly aids and facilitates cashiers and owners of Toko BIFFA Wallpaper Kepanjen in sales management, increasing efficiency and reducing manual errors.

Rancangan Pola Sistem Informasi Akuntansi Penerimaan dan Pengeluaran Kas: Studi Fenomenologi pada Situs Patirtaan Ngawonggo Tajinan Malang

Accounting information system (AIS) is an important part of corporate financial management. This research aims to study the design pattern of AIS for cash receipts and disbursements using a phenomenological approach based on a background that illustrates how important AIS optimization is at the Ngawonggo Patirtaan Site. To investigate the experiences of four informants regarding the current AIS implementation, this study used qualitative phenomenology. Data were collected through observation, documentation, and in-depth interviews. Then, a model was used to analyze the relationship between theme attributes and meanings. The research was conducted at Ngawonggo Patirtaan Site, which is located in Tajinan District, Malang. The results showed that the current AIS at Ngawonggo Patirtaan Site is still simple but organized. Expenditures are allocated based on needs, but the cash receipt system uses a kotak asih. Periodic recording is done manually in the cash ledger. Information is provided through verbal reports every month. The absence of supporting facilities is a major obstacle. The results show that the AIS should be more integrated and organized. The design of the proposed AIS pattern includes online registration process, cash receipt through kotak asih, digital and manual recording of transactions, and periodic reports. It is expected that better use of AIS will improve the efficiency and accountability of financial management at Ngawonggo Patirtaan Site.

SISTEM INFORMASI HOME SERVICE DAN PENJUALAN SPARE PARTS MENGGUNAKAN MODEL WATERFALL

Yamaha Karya Laba Motor is a company specializing in motorcycle maintenance and parts sales. Despite its services, shortcomings persist such as verbal vehicle inspections upon service intake and manual recording of service queues and parts sales. Issues arise concerning inventory monitoring, particularly when parts are depleted, necessitating time-consuming manual checks that hinder mechanics' efficiency. Additionally, the lack of home service and online parts sales further complicates customer convenience. The development of a Home Service and online parts sales application at Yamaha Karya Laba Motor aims to address these challenges by enhancing operational efficiency and customer satisfaction. The application includes features such as transaction management, user administration, parts inventory, reporting, Home Service requests, and online parts sales. These functionalities empower Yamaha Karya Laba Motor employees to efficiently monitor parts availability and generate transaction reports. Simultaneously, customers benefit from streamlined processes, saving time and ensuring convenience. This study underscores the transformative impact of digital solutions in improving operational workflows and enhancing service.

Acute Kidney Injury in Hospitalized Patients With Exertional Rhabdomyolysis

An association between serum creatine kinase (CK) levels and the risk of kidney failure in patients with exertional rhabdomyolysis (ERM) has been suggested. However, the actual incidence of AKI in hospitalized patients with ERM along with the contributing cofactors that may increase the risk of AKI have rarely been investigated. To examine the incidence of kidney injury in hospitalized patients with ERM and to identify additional cofactors that might contribute to the development of kidney injury in patients with ERM. This retrospective cohort study was conducted in a diverse community population of patients 18 years or older with ERM who were hospitalized across Kaiser Permanente Northern California between January 1, 2009, and December 31, 2019. Patients were initially identified through electronic screening for all-cause rhabdomyolysis admissions, followed by manual medical record reviews to verify their eligibility for the study. The diagnosis of AKI and chronic kidney disease (CKD) was determined using KDIGO (Kidney Disease Improving Global Outcomes) criteria and confirmed by medical record review. Data analysis was performed from October 1, 2023, to January 31, 2024. History of strenuous physical exercise before hospitalization for ERM. Development of AKI, CKD, and compartment syndrome and number of deaths. Among 3790 patients hospitalized for rhabdomyolysis between 2009 and 2019 in Kaiser Permanente Northern California, 200 (mean [SD] age, 30.5 [8.5] years; 145 [72.5%] male) were confirmed to have ERM via medical record review. Seventeen patients (8.5%) developed AKI, none developed CKD, 1 (0.5%) developed compartment syndrome, and there were no fatalities. There was no association between serum CK levels and the risk of AKI. However, the risk of AKI was significantly higher in patients with ERM who used nonsteroidal anti-inflammatory drugs (NSAIDs) before admission (11 of 17 with AKI [64.7%] vs 40 of 183 without AKI [21.9%], P < .001) or experienced dehydration (9 of 183 without AKI [52.9%] vs 9 of 17 with AKI [4.9%], P < .001). This analysis suggests that eliminating preadmission NSAID use and dehydration could reduce the risk of potential AKI in patients with ERM by 92.6% (95% CI, 85.7%-96.1%) in this population. The findings of this cohort study of hospitalized patients with ERM suggest that serum CK elevation alone is insufficient as an indicator of AKI in patients with ERM. Concurrent risk factors, such as NSAID use or dehydration, may be associated with AKI development in patients with ERM.