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Early detection of a potential heart attack is a crucial step in preventing sudden death from heart disease. This research aims to develop an Internet of Things (IoT)-based health monitoring system capable of measuring vital body data in real time and predicting the likelihood of a heart attack from CSV data obtained from sensors, integrated through RapidMiner as learning data using a machine learning algorithm, the Support Vector Machine (SVM). The system was built using an ESP32 microcontroller connected to a MAX30102 sensor to measure heart rate and finger oxygen levels (SpO₂), as well as a DHT22 sensor to measure temperature and humidity. The resulting data is sent to the Blynk application to display real-time data according to its parameters. The initial prediction logic was developed using a rule-based method based on medical thresholds for four vital parameters. The data was then used to train an SVM model as a classification system to detect potential heart attacks. Test results showed that the system can identify abnormal conditions with a good level of accuracy and provide early warnings based on changes in vital parameters in real time. This system is expected to be an initial solution for personal health monitoring, especially for individuals at risk of heart disease. It can be further developed with cloud integration and automatic notifications to users' devices.

Introduction: Ramadan fasting is a religious practice observed by Muslims by abstaining from food and drink from dawn until sunset. These changes may increase the need for oral and dental healthcare. However, some Muslims still perceive that undergoing dental treatment while fasting may invalidate the fast, leading many patients to delay or avoid dental visits during Ramadan. Objective: This study aims to review and analyse various scientific literature regarding the safety and permissibility of dental procedures for patients who are observing fasting during Ramadan. Methods: This study used a narrative review method by searching scientific articles through PubMed, ScienceDirect, and Google Scholar databases using keywords relevant to the research topic. Articles were selected based on predetermined inclusion and exclusion criteria. Results: The review findings indicate that most dental procedures, such as local anaesthesia administration, scaling, restorative treatment, and tooth extraction, generally do not invalidate fasting as long as no material or fluid is intentionally swallowed. The use of suction devices, isolation of the treatment area, and proper scheduling of dental procedures are important factors in minimizing the risk of swallowing fluids during treatment. Conclusion: Most dental procedures can be safely performed on fasting patients while still considering both medical aspects and Islamic principles. Patient education regarding the safety of dental procedures during fasting should be improved to prevent delays in treatment and complications in oral health.

Pharmaceutical services initially focusing solely on drug management (Drug Oriented) to comprehensive services that include clinical pharmacy services and medication services aimed at improving patients' quality of life (Patient Oriented). Clinical pharmacy services in pharmacies are part of pharmaceutical services that are directly responsible to patients in relation to pharmaceutical preparations, medical devices, and disposable medical supplies. This study aims to determine the implementation of clinical pharmacy services in pharmacies in the Gedong Tataan District of Pesawaran Regency. The research approach used was quantitative descriptive with a simple random sampling technique. The sample in this study consisted of 16 pharmacies and pharmacy staff working in pharmacies in the Gedong Tataan District, Pesawaran Regency, who met the inclusion and exclusion criteria. Data collection was carried out by conducting with guided interviews using questionnaires and observation on the implementation of clinical pharmacy services by pharmacy staff. The results showed that the clinical pharmacy services implemented in pharmacies in Gedong Tataan District, Pesawaran Regency, were prescription assessment and services by 74% with a good category (61-80%), dispensing by 95% with a very good category (81-100%), and drug information services (PIO) obtained a percentage of 72% with a good category (61-80%). Clinical pharmacy services were mostly carried out by Pharmacy Vocational Personnel (TVF) at 37.5%. Clinical pharmacy services in pharmacies throughout the Gedong Tataan District of Pesawaran Regency have not been fully implemented in accordance with the standards of pharmaceutical services in pharmacies according to Permenkes No. 73 of 2016, as there are still several aspects that have not been carried out.

Patients with ANSD may have hearing thresholds that vary from normal to severe hearing loss, but they often have difficulty understanding speech, especially in noisy environments. This condition can be caused by various factors, including genetic mutations (such as in the OTOF gene), preterm birth, perinatal hypoxia, and hyperbilirubinemia. Some adult patients have been reported to develop ANSD following autoimmune disorders such as sensorimotor neuropathy or after chemotherapy with ototoxic agents such as cisplatin. Diagnosis of Auditory Neuropathy Spectrum Disorder (ANSD) begins with a comprehensive medical history to identify risk factors that play a role. A history of preterm birth, severe hyperbilirubinemia requiring exchange transfusion, perinatal hypoxia, ventilator use, and a family history of infection or genetic disorders are major risk factors. In addition, patients or parents often report delayed speech development, inability to understand speech (especially in noisy environments), or a discrepancy between previous hearing test results and the child’s behavioral response. The gold standard for diagnosing ANSD is a combination of: (1) positive OAE and/or CM, (2) absent or abnormal ABR, and (3) absent acoustic reflex. This diagnosis is established only if there is evidence that the cochlea is functioning normally but there is a disruption in auditory nerve transmission. Routine monitoring is conducted to assess hearing and language development and adjust devices and therapy methods according to the patient’s needs. Counseling and education for families are also crucial components to provide optimal support at home and improve the patient’s quality of life. A comprehensive multidisciplinary approach is essential to ensure effective management of ANSD and achieve the best possible outcomes.

Pharmaceutical services initially focusing solely on drug management (Drug Oriented) to comprehensive services that include clinical pharmacy services and medication services aimed at improving patients' quality of life (Patient Oriented). Clinical pharmacy services in pharmacies are part of pharmaceutical services that are directly responsible to patients in relation to pharmaceutical preparations, medical devices, and disposable medical supplies. This study aims to determine the implementation of clinical pharmacy services in pharmacies in the Gedong Tataan District of Pesawaran Regency. The research approach used was quantitative descriptive with a simple random sampling technique. The sample in this study consisted of 16 pharmacies and pharmacy staff working in pharmacies in the Gedong Tataan District, Pesawaran Regency, who met the inclusion and exclusion criteria. Data collection was carried out by conducting with guided interviews using questionnaires and observation on the implementation of clinical pharmacy services by pharmacy staff. The results showed that the clinical pharmacy services implemented in pharmacies in Gedong Tataan District, Pesawaran Regency, were prescription assessment and services by 74% with a good category (61-80%), dispensing by 95% with a very good category (81-100%), and drug information services (PIO) obtained a percentage of 72% with a good category (61-80%). Clinical pharmacy services were mostly carried out by Pharmacy Vocational Personnel (TVF) at 37.5%. Clinical pharmacy services in pharmacies throughout the Gedong Tataan District of Pesawaran Regency have not been fully implemented in accordance with the standards of pharmaceutical services in pharmacies according to Permenkes No. 73 of 2016, as there are still several aspects that have not been carried out.

Background: Hyperuricemia represents a medical condition marked by elevated concentrations of uric acid within the bloodstream, potentially triggering gout alongside various metabolic disorders. Central obesity has been identified as a contributing factor to rising uric acid concentrations, measurable through waist circumference assessment. Methods: An analytic observational design utilizing a cross-sectional approach was employed in this investigation, encompassing 100 male participants characterized by sedentary lifestyles who were employed as office workers in Medan City, North Sumatra Province. Waist circumference measurements were obtained using a flexible measuring tape, while uric acid concentrations were determined through Point of Care Test (POCT) devices. Statistical evaluation was conducted via the Chi-Square test, applying a significance threshold of 0.05. Results: Among all participants, 64 individuals (64%) exhibited waist circumference measurements indicative of central obesity, whereas 56 individuals (56%) demonstrated hyperuricemic conditions. Statistical evaluation revealed a significant association between waist circumference measurements and uric acid concentrations, evidenced by a p-value of 0.000 (p < 0.05). Conclusion: A meaningful correlation exists between waist circumference and uric acid concentrations among males engaged in sedentary occupations.

The integration of Digital Signal Processing (DSP) algorithms in low power microcontroller based embedded systems has emerged as a promising solution to optimize energy efficiency without compromising signal accuracy and performance. This study focuses on the design and optimization of DSP algorithms specifically for microcontrollers, aimed at achieving real-time, reliable monitoring for applications such as healthcare, environmental sensing, and IoT devices. The research highlights the system's ability to handle complex signal processing tasks while maintaining low power consumption, ensuring long-term, continuous operation in remote or battery-powered environments. The system employs various techniques, including advanced power management strategies such as dynamic voltage scaling (DVS) and adaptive voltage scaling (AVS), along with lightweight AI algorithms and model pruning, to minimize energy use. The results show significant reductions in power consumption compared to traditional systems, particularly during continuous monitoring tasks. Despite this, the optimized DSP algorithms maintain or even enhance signal accuracy, ensuring that critical monitoring data remains reliable. Furthermore, the system demonstrates robust performance and reliability over extended periods, making it suitable for long-term deployment in critical applications such as wearable medical devices and industrial sensors. This research provides a foundation for the development of future low power embedded systems, emphasizing the importance of DSP-aware optimization in achieving energy-efficient and high-performance monitoring. Future improvements may include advanced AI-driven power optimization techniques, enhanced scalability, and cross-domain interoperability, ensuring that these systems can be effectively deployed across diverse applications, from healthcare to environmental monitoring.

Non-communicable diseases (NCDs) such as hypercholesterolemia, hyperuricemia, and hyperglycemia are common health problems among adults and can develop into cardiovascular diseases and diabetes if not detected early. This community service activity was carried out to provide education on risk factors, prevention, and control of cholesterol, uric acid, and blood glucose levels among parents of students at RA Avicenna in Sorong City, as well as to conduct examinations of these three parameters as an early detection effort. The methods used included interactive counseling using presentation media, question-and-answer discussions, and health checks using point-of-care testing (POCT) devices. A total of 23 respondents participated, ranging in age from 22 to 55 years. The results showed that 22 individuals had normal blood glucose levels and 1 individual had high glucose levels. Nine people had normal cholesterol levels, eight were in the borderline category, and six had high cholesterol levels. Five participants had normal uric acid levels, while 18 had elevated uric acid levels, for which additional education and recommendations for further medical examination were provided. In conclusion, educational activities combined with health screening proved effective in increasing community awareness and motivation to prevent NCDs early.

Maritime safety is a crucial aspect and occupies a central position in all maritime operations, especially for Indonesia as an archipelagic country that heavily relies on sea transportation. A lack of knowledge about safety tends to result in material loss, medical issues, and loss of life, demanding extra attention as the number of maritime accidents increases. This study aims to analyze the influence of independent variables on Shipping Safety (Y) at the Tanjung Emas Semarang Port Authority Office (KSOP). The independent variables tested are Crew Resources (X_1), Telecommunication Equipment (X_2), and Pilotage (X_3). Using a quantitative approach with Multiple Linear Regression analysis on 100 respondents (operational staff and captains), the F-test results confirm that X_1, X_2, and X_3 simultaneously have a positive and significant effect on Shipping Safety. Furthermore, the T-test results show that Telecommunication Equipment (X_2) has the highest and most dominant influence compared to other variables in affecting Shipping Safety. The Adjusted R^2 value of 0.619 indicates that 61.9% of the variation in Shipping Safety can be explained by these three factors. This finding provides empirical validation emphasizing the technological imperative in modern port risk management, guiding policies toward prioritizing investment in communication devices to enhance maritime safety performance.

This study aims to examine in depth the level of effectiveness and obstacles faced in the use of RME. This study uses a qualitative descriptive approach that aims to describe in depth the effectiveness and obstacles in the use of RME at the Baleendah Health Center. Data collection techniques were carried out through triangulation, namely, observation, interviews, and documentation. The informants in this study consisted of three people, namely the Head of the Puskesmas, medical records officer, and a doctor. Overall, the results showed that the implementation of RME at the Puskesmas received full support from the management, including aspects of funding, training, technology, and regular evaluation of the problems faced. RME has become the main focus because it is considered more effective and efficient than manual systems, especially in accelerating and improving the accuracy of services. However, the implementation still encountered a number of obstacles, such as internet network disruptions in the early stages, which have now been resolved by adding devices at certain points. The limited number of IT experts is also an obstacle because it slows down the handling of technical problems. In addition, server disruptions still occur because data storage is centralized at Diskominfo along with 62 other Puskesmas in Bandung Regency, which causes delays in data access.

Patients admitted to the Intensive Care Unit (ICU) frequently experience physiological disturbances that significantly affect their sleep quality. These disturbances are triggered by various factors, including repeated medical procedures, environmental noise, discomfort from medical devices, intensive interactions with healthcare workers, inappropriate lighting that disrupts circadian rhythms, pain, and the underlying disease process. Sleep disturbances in ICU patients may slow down the healing process, elevate blood pressure, trigger metabolic disorders, and increase the risk of serious complications such as stroke. This study aims to examine the relationship between anxiety levels and sleep quality among compos mentis patients in the ICU of Sultan Agung Islamic Hospital, Semarang. The research employed a correlational design with a cross-sectional method. A total of 30 respondents were included based on specific criteria. Anxiety levels were measured using the Hamilton Anxiety Rating Scale (HARS), while sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed using the Chi-Square test to determine the relationship between the two variables. The findings showed that the distribution of male and female respondents was balanced (15 respondents each). The most common medical diagnosis was post-laparotomy (10 respondents), with the dominant age category being late elderly (10 respondents). Anxiety levels were predominantly in the moderate category (18 respondents), while the majority of respondents demonstrated poor sleep quality (17 respondents). Statistical analysis revealed a p-value of 0.001, indicating a significant relationship between anxiety levels and sleep quality. In conclusion, the study highlights that higher levels of anxiety are associated with poorer sleep quality among compos mentis patients in the ICU. These findings emphasize the importance of nursing interventions aimed at reducing anxiety to improve patient sleep quality and support recovery.

The development of information technology has brought significant changes to the medical device procurement process, particularly within government institutions such as the Health Office. The procurement of appropriate, efficient, and objective medical devices is crucial to supporting optimal medical services, yet the decision-making process is often constrained by limited budgets and the complexity of multiple assessment criteria. This study aims to design and implement a decision support system (DSS) based on the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to provide recommendations for medical device procurement at the Binjai Health Office. The DSS evaluates six main criteria: price, quality, durability, ease of maintenance, medical necessity, and safety level, using procurement data from the 2022–2024 period. The TOPSIS method is applied to calculate the relative closeness of each alternative to the ideal solution, enabling decision-makers to rank medical device options objectively and systematically. The findings show that the DSS successfully prioritizes procurement alternatives, helping stakeholders allocate budgets more effectively and transparently. In addition, the system minimizes subjective bias by integrating quantitative analysis with clearly defined criteria. The system is implemented in a web-based environment with MySQL as the database, ensuring accessibility and scalability for future use. Overall, this research demonstrates that integrating TOPSIS into a decision support system can enhance the efficiency, accuracy, and accountability of medical device procurement in public health agencies. The study is expected to contribute to improving budget management and strengthening the quality of health services through better resource allocation.

The development of digital technology has had a significant impact on the health sector, including eye examination services. This study discusses the development and implementation of a Digital Optoscope-based Eye Diagnostic application designed using a web platform (HTML). This application provides two main features: visual acuity testing and astigmatism testing, which can be accessed independently by users through digital devices such as laptops, tablets, or mobile phones. Users only need to follow the visual instructions presented interactively on the screen, then perform the test according to the procedure. The testing method is carried out by displaying font size settings according to the Snellen chart standard and radial astigmatism patterns. The results of each test session are automatically recorded and can be saved for further analysis. In addition, users can perform repeated tests to improve the accuracy of self-diagnosis, and the system will provide lens type recommendations based on the measurement results obtained. The trial results show that this application is able to provide convenience, efficiency, and initial accuracy in the process of examining vision disorders. This is very useful, especially for people in remote areas or with limited access to professional eye health services. Thus, the Digital Optoscope-based Eye Diagnostic application has the potential to be an innovative solution for the early digital detection of vision disorders. This study recommends further development, particularly in clinical validation, testing on a wider sample size, and integration with electronic medical record systems to enhance its benefits in comprehensive public health services. Furthermore, collaboration with medical professionals is crucial to ensure diagnostic accuracy. With this approach, the app is expected to become a reliable tool for continuous eye health monitoring.

Electronic Medical Records (EMR) are medical records compiled and stored through an electronic system used to support the provision of healthcare services. The implementation of EMR facilitates faster, more practical, and integrated patient data recording. Electronic Medical Records (EMR) are designed to improve the efficiency, accessibility, and accuracy of patient information within healthcare institutions. This study used a qualitative descriptive approach with a case study design through interviews to assess the readiness of EMR implementation in terms of the 5M management aspects (Man, Money, Material, Machine, Method) at Muhammadiyah General Hospital, Ponorogo Regency. The study sample consisted of 27 healthcare workers selected using a purposive sampling technique. The case study design allowed researchers to capture in-depth insights from healthcare workers directly involved in EMR implementation. The results showed that from the Man element, most healthcare workers were ready to use EMR, as indicated by their comfort and skills in operating the application. In the Money element, there is a system maintenance budget and support for EMR development in the inpatient unit and the Emergency Room. The Material element indicates the availability of adequate software, while the Machine element includes computer devices, internet connections, and a stable server to support users. These technological resources ensure a user-friendly and reliable system. The final element, Method, is demonstrated by the existence of clear SOPs and workflows, enabling healthcare workers to understand and effectively follow the EMR implementation process. Overall, the findings indicate that the hospital is institutionally prepared for EMR adoption.    

The hospital operating room is one of the most crucial facilities in health services, so it requires a stable, reliable, and uninterrupted electricity supply to ensure patient safety and smooth medical procedures. The slightest electrical outage can pose a major risk, given that almost all vital medical equipment in the operating room relies on an electrical power supply. Therefore, the Uninterruptible Power Supply (UPS) system has an important role as a backup solution to ensure the continuity of electrical energy. This study aims to analyze the performance, capacity, and burden of UPS at Siti Fatimah Palembang Hospital using quantitative methods. Data was obtained through direct observation, interviews with technicians, technical documentation, and measurement of current and load power with standard-compliant measuring equipment. The focus of the analysis was directed at the Online Double Conversion type UPS with a capacity of 20 kVA which functions as the main supplier of backup electricity in the three operating rooms. The measurement results show that the total load reaches 8,855.5 VA or equivalent to 44.2% of the total capacity of the UPS. This load comes from 24 units of vital medical equipment, including operating lights, patient monitors, ventilators, anesthesia machines, and electrosurgical devices spread evenly across three operating rooms. With a power factor of 0.92 and a measurement current of 39.8 A, the performance of the UPS is quite efficient and safe to use. This shows that UPS capacity still has spare space to bear additional loads in the event of an increase in the number of medical equipment in the future. The conclusion of this study is that UPS at Siti Fatimah Palembang Hospital is able to work optimally in maintaining the stability of power supply, so that it can ensure the continuity of critical medical services in the operating room.

Telemedicine is a significant innovation in modern healthcare, enabling the provision of remote healthcare services using telecommunications technology. This service allows medical personnel to conduct consultations, examinations, and even monitor patient conditions without face-to-face interaction. Implementations of telemedicine include video conferencing between doctors and patients, remote health monitoring using digital devices, and the use of integrated health applications on mobile devices. This technology offers significant opportunities to overcome geographical barriers, particularly for people living in remote, hard-to-reach areas, or with limited access to conventional healthcare facilities. This study aims to increase understanding of the role and benefits of telemedicine as part of the digital transformation in the healthcare sector to improve public health. The activities were conducted through lectures and demonstrations, structured in three stages: planning, implementation, and evaluation. During the planning stage, the implementation team prepared materials, media, and delivery strategies appropriate to the participants' level of understanding. The implementation stage focused on delivering educational materials related to the concepts, benefits, and examples of telemedicine applications in everyday life, followed by a demonstration session on the use of digital health applications. The final stage, an evaluation, measured participants' knowledge levels before and after the activity. The results showed a significant increase in students' understanding of telemedicine. The knowledge level increased from 23.0% before the training to 84.6% after the training. This increase demonstrates the effectiveness of the lecture method combined with interactive demonstrations in conveying information. Furthermore, students became more aware of the importance of utilizing digital health technology and felt more involved in the decision-making process regarding self-care.

Wireless Medical Sensor Networks (WMSNs) are a key component of modern Healthcare Internet of Things (IoT) systems, enabling continuous and real-time monitoring of patients’ physiological parameters. These networks support timely medical intervention, improve patient outcomes, and facilitate remote healthcare delivery. However, due to the open and resource-constrained nature of WMSNs, they are highly susceptible to various security threats, particularly during the authentication phase. Existing authentication protocols have been found vulnerable to a range of attacks, including impersonation, session key disclosure, and gateway database compromise, which can lead to severe privacy breaches and potentially life-threatening situations. To address these issues, this paper proposes a secure and lightweight three-factor authentication protocol tailored for WMSNs in healthcare IoT environments. The proposed protocol integrates Elliptic Curve Cryptography (ECC) for strong public key-based security with minimal computational overhead, fuzzy extractors to securely handle biometric information and ensure resistance against biometric template compromise, and session-based randomness to achieve forward secrecy and prevent replay or key-compromise impersonation attacks. Security analysis demonstrates that the proposed protocol successfully mitigates prominent threats such as impersonation attacks, man-in-the-middle attacks, session key leakage, and database compromise. In addition, the protocol ensures mutual authentication between the user, the gateway, and the sensor nodes, while maintaining data confidentiality and integrity. Performance evaluation indicates that the protocol offers significantly reduced computational cost and communication delay compared to existing schemes. Its low energy consumption and minimal storage requirements make it suitable for deployment in resource-constrained medical devices and large-scale IoT healthcare networks. The results highlight the protocol’s scalability, energy efficiency, and robustness, making it a practical and secure solution for safeguarding patient data and ensuring trustworthy communication in WMSNs-based healthcare IoT systems.

The development of information technology has had a significant impact on the healthcare sector, particularly in improving the efficiency and quality of services. Technologies such as Big Data and the Internet of Things (IoT) enable the collection and analysis of large volumes of medical data as well as real-time patient monitoring. This study aims to analyze how the integration of Big Data and IoT can enhance the quality of healthcare services, with a focus on their impact on patient care and hospital operational efficiency. The research method used is a literature review, involving the collection and analysis of data from various sources such as scientific journals, articles, and related research reports. The results indicate that hospitals that have implemented these technologies have experienced significant improvements in several aspects, including increased diagnostic accuracy, reduced service delays, and more efficient resource management. Real-time patient monitoring through IoT devices enables faster medical decision-making, while Big Data analytics helps predict disease patterns and medical needs. However, the challenges faced include data security issues, infrastructure limitations, and shifts in healthcare practice paradigms. In conclusion, the integration of Big Data and IoT can improve the quality of healthcare services, but addressing the existing challenges is essential to optimize its implementation in the healthcare sector.

DAGUSIBU is one of the efforts to improve public health that is organized through health service activities by pharmaceutical workers. Health services that can provide community pharmaceutical workers include providing information on the use and storage of pharmaceutical preparations and medical devices. The public needs to know the importance of drug management from when they get a prescription to when they throw it away if it is not needed. So that the impact of community errors cannot be prevented. The lack of public curiosity about this is very dangerous. They should not underestimate the procedures for drug management. Starting from when they first get a prescription from a doctor, to how to dispose of it if it can no longer be used. In fact, if we make a slight mistake in managing drugs, it will have fatal consequences for consumers of the drug. The results of the Dagusibu Drug Management counseling (Get, Use, Store, Throw Away) in Bingkat, Serdang Bedagai Regency can provide insight and education on drug management from when they get a prescription to when they throw it away if it is not needed. So that the impact of mistakes made by the Bingkat village community cannot be prevented. Participants can apply the knowledge they have gained in their family and community environments.

In Law Number 44 of 2009 concerning Hospitals it is stated that hospitals must meet the requirements for location, buildings, infrastructure, human resources, pharmacy and equipment. Pharmaceutical requirements must ensure the availability of quality, useful, safe and affordable Pharmaceutical Preparations, Medical Devices and Consumable Medical Materials. The Workers' General Hospital has drug procurement data that exceeds the 2022 RKAP target, namely in the last 5 months between August and December 2022. The aim of this research is to reveal empirically the selection of providers by combining three procurement methods, namely e-catalog, direct procurement with the standardization of the Pertamedika IHC Drug Formulary and direct procurement with negotiations carried out by the hospital's own negotiation committee and a priority scale is formed to achieve efficiency targets. This priority scale meets the eligibility test for the Benefit - Cost Ratio criteria. This research was conducted at the Workers' General Hospital in Jakarta. The research time is February 2023 - June 2023. The research approach used is a qualitative approach. Meanwhile, the research method used was a case study in which researchers conducted an in-depth exploration of the process of selecting generic drug providers on a priority scale and tested their feasibility using the Benefit - Cost Ratio (BCR) method. Based on calculations, a BCR value of 1.9 was obtained, which can be interpreted as a priority scale that is feasible for the Workers' General Hospital. The results of this research have implications for hospitals because implementing effective and efficient drug procurement will ensure continuity of service with affordable drug costs.