Hospital Management System Research Articles

Nursing Officers Attitudes Toward the implementation of Hospital Health Information Management System in Hospitals in Kalmunai RDHS

Nursing Officers Attitudes Toward the implementation of Hospital Health Information Management System in Hospitals in Kalmunai RDHS

A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning

In today’s modern world cardiovascular disease is the most lethal one. This disease attacks a person instantly that might create unexpected consequences for the human life. So diagnosing patients correctly on time is the most challenging task for the medical fraternity. The heart disease treatment is quite high and not affordable by most of the patients particularly in India. The research scope is to develop an early prediction treatment using data mining technologies. Now a day every hospital keeps the periodical medical reports of cardiovascular patients through some hospital management system to manage their healthcare. The data mining techniques namely decision tree and random forest are used to analyze heart attack dataset where classification of more common symptoms related to heart attack is done using c4.5 decision tree algorithm, alongside, random forest is applied to improve the accuracy of the classification result of heart attack prediction. In this system various data mining technologies are applied to make a proactive approach against failures in early predictions diagnosis of the disease. We proposed an automated system for medical diagnosis that would enhance medical care and reduce cost. Our aim is to provide a ubiquitous service that is both feasible, sustainable and which also make people to assess their risk for heart attack at that point of time or later. Keywords: Heart attack prediction, ML, Random Forest, Decision Tree, Java, servlet, etc.

Revolutionizing Hospital Operations: A Comprehensive Analysis of Hospital Management System Implementation

Hospital Management System (HMS) technology will transform hospital operations. This summary summarizes HMS implementation's main components, goals, advantages, and drawbacks. Patient registration, appointment scheduling, EMR, billing, inventory management, and analytics are integrated into the HMS. Its main goal is to improve hospital efficiency, automate operations, and centralize information management. Implementing an HMS improves patient care by providing rapid access to precise information, operational efficiency, financial procedures, and data accuracy. The challenges include comprehensive staff training, strong data security, and smooth healthcare system connection. Healthcare organizations are developing digitally, making the hospital administration system essential for patient outcomes and hospital administration

To Enhance the Efficiency and Effectiveness of Electronic Health Record for Hospital Management System

Our project hospital management system includes registration of patient's details storing into the system and booking appointments with the doctors and taking care of staff. This website is powerful, flexible, and easy to use. Our software has the facility to give unique IDs to patients and staff. The details of each patient and staff are stored on this website. This interface is user friendly. Here website can be login through username and password. The lost data can be recovered easily. The admin can manage the total website and data is well protected here by admin. It improves the quality and management of the hospitals. The primary goal of a Hospital Management System is to enhance the efficiency and effectiveness of healthcare delivery by providing a centralized platform for managing various aspects of hospital administration, patient care, and related activities. The Hospital Management System encompasses a wide range of functionalities, including patient registration, appointment scheduling, billing and invoicing, electronic health records (EHR), inventory management, and reporting. It leverages information technology to create a seamless flow of information between different departments within the hospital, ensuring smooth communication and coordination.

A Study on Automated Hospital Management System in Nigeria

This thesis underscores the critical importance of effective data management in the operational and survival aspects of contemporary hospitals. Acknowledging the imperative for continuous enhancements in this domain, the study recommends a proactive approach to explore and advance the existing hospital data management project by transitioning it to an online platform. This strategic move includes the implementation of robust security measures, particularly a secure access code system, to fortify the protection of sensitive information. The proposed transition aims not only to modernize the hospital's data management capabilities but also to establish a secure online infrastructure, guarding against unauthorized access and ensuring the integrity and confidentiality of critical healthcare data. The thesis concludes with a comprehensive overview of the development process for the computerized system. A detailed survey of the existing system laid the groundwork for the meticulous design of a database application focused on facilitating the search and retrieval of patient folders. The anticipated automated hospital management system is poised to significantly enhance the overall efficiency of healthcare services for both nurses and doctors, introducing notable improvements such as reduced time spent on locating patient folders, increased accuracy, and timely record preparation. Throughout the implementation phase, substantial efforts were dedicated to eliminating data redundancy and inconsistency, with a specific emphasis on enhancing the integrity of the stored data. The chosen software model, the waterfall model, provided a systematic and sequential approach to software development. Additionally, a structured design methodology was employed during the design stage to ensure clarity and efficiency. Recognizing the sensitivity of healthcare data, the thesis rigorously addresses security concerns by incorporating robust measures into the computerized system. These measures are designed to prevent unauthorized access, safeguarding the confidentiality and privacy of stored data. This multi-faceted approach to system development underscores the commitment to delivering a robust, efficient, and secure automated hospital management system aligned with the evolving needs of healthcare professionals, guaranteeing top-tier levels of data integrity and security.

Hospital management system using web technology is a demand of time

Hospital management system using web technology is a demand of time

Application of artificial intelligence technology in hospital management systems

This article explores the application of artificial intelligence technology in hospital management systems, specifically using the innovative work order project as an example. The system can interact with users through intelligent AI interaction through text and voice, enabling intelligent work order repair and query processing. The project includes multiple functions such as work order form generation, attachment uploading, voice file uploading, work order query, and interface docking. In addition, this article also introduces the requirements for integrating hospital logistics business with Turing CHATGPT application scenarios, including equipment failure repair, patient satisfaction surveys, patient follow-ups, and medical staff training and learning. Through detailed descriptions of interface docking, data flow, and functions, this article highlights the potential of AI technology to enhance work efficiency and user experience in hospital management systems. Finally, this article discusses the current achievements and future development directions and calls for further innovation and progress in medical information management systems.

A Survey Paper on Integrated Hospital Management System

Hospital Management Systems (HMS) are essential tools in modern healthcare, focusing on efficiency and streamlined operations. Key functionalities include patient registration, appointment scheduling, and doctor availability search. Accessible to administrators, doctors, and patients, HMS offers a customizable, user-friendly interface while emphasizing data protection and fast processing. Ongoing advancements promise to enhance the patient experience and diagnostic procedures, solidifying HMS's role in patient centric healthcare delivery.

Reflections on the strategy of hospital development based on the characteristics of new hospitals.

The disease spectrum is constantly changing, meaning patients' medical characteristics are complex and varied, and hospital operations are facing great challenges. To provide a basis for formulating relevant policies, promoting the continuous improvement of medical quality, improving the efficiency of medical services and proposing corresponding countermeasures. Information on the first page of the medical cases of patients discharged from 2020-2021 in the case management system of The Second People's Hospital of Zhangye City was collected, and statistical analysis was performed in terms of the origin, age, gender, occupation and main diagnosis of the patients. The database was established using Excel software, and statistical description was performed using SPSS 23.0 software, in which the main indicators were the number of cases and relative numbers (%). The total number of inpatients in the hospital exhibited an overall upward trend, with the number in 2021 increasing by 40.53% compared with the previous year. Among them, 0.75% of the inpatients resided outside the province and 99.25% resided within the province. The proportion of inpatients within the city was 98.86%, including 85.50% in Ganzhou District and 14.5% in the five surrounding counties (districts). In 2021, the number of inpatients in the five surrounding districts increased by 60.67% compared with the previous year. The occupational structure of the inpatients was mainly farmers, accounting for 64.68%, which was higher than all other occupational groups, while public employees accounted for 17.9%. Inpatients aged 60 years and above accounted for 37.75%. In terms of disease spectrum ranking, circulatory, digestive, respiratory, injury and oncological system diseases ranked in the top five of the presented diseases, accounting for 64.47% of the total number of inpatients. The patients of the new hospital are mainly elderly patients and local farmers. The hospital development should be based on the disease characteristics of this group, improving the diagnosis and treatment capacity of the departments and strengthening the capacity building of the hospital and the level of the medical services.

A Review of E-commerce As Part From the Excelence Movement Theory in Hospital Management System

<p align="justify">The e-commerce market in Indonesia has experienced substantial growth over the years, particularly during the COVID-19 pandemic. With advancements in Information and Communication Technology (ICT), numerous companies, including hospitals, have altered their operational methods and customer interactions. This paper aims to investigate the application of e-commerce as a constituent of the Excellence Movement Theory within Hospital Management Systems. The review methodology involves conducting a literature search on relevant material pertaining to the core issue at hand. The findings illustrate how implementing an e-commerce platform within hospitals can enhance administrative processes' efficiency, improve patient care quality, and generate additional revenue from sales of healthcare products and services. Additionally, several challenges associated with utilizing an e-commerce platform in hospital management systems are addressed in this discussion. By incorporating e-commerce into hospital management practices through this review process, it can become an essential element of Indonesia's excellence movement strategy for managing hospitals effectively.</p>

Association between Red cells distribution width and glycemic control among people with type 2 diabetes.

Objective: To evaluate Red blood cell distribution width (RDW) in people with type 2 diabetes and its relationship with glycemic control. Study Design: Retrospective study. Setting: Baqai Institute of Diabetology and Endocrinology, Baqai Medical University. Demographic, Clinical and Biochemical Data were retrieved from hospital management system of BIDE. Period: September 2018 to April 2019. Material & Methods: Ethical approval was obtained from the Institutional Review Board of BIDE. Based on the HbA1c values, patients were divided into two groups, HbA1c < 7.0% and HbA1c ≥ 7.0%. RDW calculated from RBC histogram in Nihon Kohden fully automated analyzer. Results: RDW found 13.9±1.88 and 13.57±1.64 (p-value 0.018) in good and poorly controlled glycemic groups respectively. Poor glycemic group had higher levels of white cell count (9.58±4.34) and Triglycerides (170.12±129.13) (p-value <0.05), whereas controlled glycemic group demonstrated higher levels of BMI (29.03±6.01), MCV (84.36±7.81) and HDL (33.75±12.31). RDW was directly correlated with gender (p-value <0.0001) and duration of diabetes (p-value 0.01), and showed significant and inverse correlation with HbA1c. Age, blood pressure, duration of diabetes, serum LDL cholesterol, and the CBC values demonstrated no significant differences between the both groups. Conclusion: We found significant correlation between RDW and glycemic control.

Complaint management system and patient satisfaction in grassroots hospitals.

Primary healthcare institutions face limitations in medical resources, leading to concerns from patients and their families regarding the quality of medical services, resulting in complaints against these institutions. This study aims to analyze the causes of complaints and implement improvement measures to enhance the service quality of primary healthcare institutions, increase satisfaction among patients and their families, and reduce the number of complaints. Relevant data were collected, and verified complaints were categorized based on departments, administrative office, and category. Pearson Chi-square test, Spearman correlation analysis, as well as univariate logistic regression were employed to analyze factors influencing patient satisfaction. A complaint-handling process was established, and regulations pertaining to complaints were formulated. Pearson Chi-square test results indicated a significant correlation between satisfaction and departments (P = .016) and administrative office (P = .022). Spearman correlation analysis revealed a significant correlation between satisfaction and departments (ρ = 0.157, P = .017) and administrative office (ρ = 0.151, P = .021). Univariate logistic regression analysis demonstrated a significant correlation between satisfaction and other related complaints in administrative office (OR = 3.321, 95% CI = 1.196-9.218, P = .021). Complaints related to departments and administrative offices are significantly correlated with satisfaction. After the implementation of a complaint management system in primary healthcare institutions, there is a notable improvement in service quality, enhanced patient experience, increased satisfaction, and a reduction in hospital complaints.

THE CORRELATION BETWEEN TYPE 2 DIABETES MELLITUS WITH BACTERIAL INFECTION IN COVID-19 PATIENTS ADMITTED TO INTENSIVE CARE UNIT AT CENTRAL GENERAL HOSPITAL PROF. DR. I.G.N.G. NGOERAH DENPASAR IN 2021-2022

Type 2 Diabetes Mellitus (T2DM) has a detrimental impact on the immune system, resulting in a decrease in the body's immune response, making patients highly susceptible to bacterial infections. Patients with T2DM, especially those treated in the Intensive Care Unit (ICU) of a hospital, face an increased risk of infection. The emergence of COVID-19, which also infects T2DM patients, further diminishes the immune system's function in these patients. Consequently, individuals with both T2DM and COVID-19 are at a heightened risk of developing secondary infections, commonly referred to as Hospital-Acquired Infections.This research aims to explore the relationship between T2DM, assessed through blood sugar levels, and the occurrence of bacterial infections in COVID-19 patients treated in the ICU of Prof. Dr. I.G.N.G. Ngoerah Central Hospital from 2021 to 2022. The research design employed is quantitative analytical correlational study using a cross-sectional approach, with a sample size of 98 patients collected from the Medical Records and Hospital Management System of Prof. Dr. I.G.N.G. Ngoerah Central Hospital in Denpasar. This study found that there is a significant correlation between patient’s infection profile with random blood glucose levels with an Odds Ratio (OR) of 1.15 (95% CI: 1.04 – 1.27; p = 0.013). Additionally, a significant relationship was observed between the severity of COVID-19 and bacterial infections in patients, with an Odds Ratio of 1.12 (95% CI: 1.01 – 1.26; p = 0.04).
 Keywords : T2DM, ICU, Hospital-Acquired Infection

CLINICOPATHOLOGICALCHARACTERISTICS OF NASOPHARYNGEALCARCINOMA AT CENTRAL GENERAL HOSPITAL PROF. DR. I.G.N.G. NGOERAH DENPASAR IN 2021-2022

ABSTRACT
 
 Nasopharyngeal carcinoma (NPC) epidemiologically occupies the fourth position as the highest number of malignancy cases in Bali, Indonesia. The most common histological type of NPC cases are non-keratinizing squamous cell carcinoma (NKSCC) undifferentiated subtype. This research aims to know the clinicopathological aspect of nasopharyngeal carcinoma at Central General Hospital Prof. Dr. I.G.N.G Ngoerah Denpasar in 2021-2022 regarding the distribution of age range, gender, education, occupation, clinical stage, histological type, as well as the results of anamnesis. The research design is a descriptive study of 70 cases of NPC at Central General Hospital Prof. Dr. I.G.N.G Ngoerah Denpasar from 2021 to 2022. Samples were collected retrospectively from secondary data using a total sampling technique through a cross-sectional study, samples were obtained from medical record data and hospital management system of Central General Hospital Prof. Dr. I.G.N.G Ngoerah Denpasar. In this study, the most cases of NPC were found in the range of 51-60 years old (32.9%), male sex (65.7%), high school education status (48.6%), private employee employment (32.9%), anamnesis results of a lump in the neck (77.1%), stage IVA (40%), and with the histological type of NKSCC undifferentiated subtype (90%). Men have twice the risk of suffering from NPC compared to women, most cases have complained of a lump in the neck and other symptoms such as nasal congestion, tinnitus, headaches. The most common histological type found is the NKSCC undifferentiated subtype, which mostly occurs in advanced stages of an IVA.
 Keywords : Clinicopathology, NPC, Nasopharynx

Cognition-Enhancement Effect of Median Nerve Electrical Stimulation in Patients with Cognitive Impairment: A Retrospective Cohort Study

People with cognitive impairment often face quality-of-life problems and require ongoing support, which has profound consequences for caregivers and society. Noninvasive brain stimulation techniques, such as median nerve electrical stimulation (MNS), have shown promising potentials in improving cognitive ability in patients with cognitive impairment. Therefore, we aimed to investigate the positive effect and safety of MNS in cognitive impairment. Patients diagnosed with cognitive impairment from the hospital record management system of the First Affiliated Hospital of Nanchang University from April 1, 2020, to December 31, 2022, were enrolled. Data on patients' basic characteristics, treatment records, and examination results such as the Mini-Mental State Examination (MMSE), activities of daily living (ADL), and P300 event-related potentials before and after treatment were collected. Overall, 146 patients with cognitive impairment were enrolled, including 71 patients who underwent conventional therapy (standard treatment group) and 75 patients who underwent conventional therapy and MNS operation (active MNS group). Before treatment, there were no differences between the standard treatment and active MNS groups in terms of age, sex, etiology, duration of symptoms before therapy, hospital stay, whether they had undergone surgery, MMSE score, ADL score, and amplitude and latency of the P300 event-related potentials (P > 0.05). After treatment, we observed significant improvements in the MMSE score, ADL score, amplitude of P300, and decreased latency of P300 event-related potentials in both groups compared with before treatment (P < 0.05). In addition, we observed that the active MNS group showed higher MMSE and ADL scores, higher amplitude of P300 event-related potentials, and lower latency of P300 event-related potentials than the standard treatment group after treatment (P < 0.05). Furthermore, no side effects were associated with MNS operation. These preliminary data provide early evidence that MNS may be a positive effect and safe method for promoting the recovery of cognitive ability in patients with cognitive impairment.

Prevalence of Extraction of Primary Mandibular Second Molar in 3 to 5 Year Old Children

Introduction: Tooth extraction is done based on a variety of reasons, the most common reason being the tooth becoming unrestorable as a result of dental caries, trauma to the tooth or periodontal disorder. The tooth indicated for extraction is usually associated with pain except in some cases where the tooth is removed for orthodontic treatment. Dental caries is a chronic disease of the tooth which is represented by demineralisation and destruction of the organic matter of the tooth. It is the most common cause of dental extraction. The aim of this study is to analyze the prevalence of extraction of primary mandibular second molars in children treated under general anesthesia from a private dental hospital.&#x0D; Materials and method: This study is a single centered retrospective study in which the data was collected from a private dental college and hospital in Chennai, India. Patient details were collected from the hospital management system and a total of 47 samples were collected. The data was tabulated using Excel and then statistically analyzed using the latest version of SPSS software.&#x0D; Results and discussion: Prevalence of extraction of primary mandibular second molar in 3 to 5 year old children wasstudied. The primary mandibular right second molar was found to be extracted the most. Also, primary mandibular second molar was extracted more in males and in the age group of 5.&#x0D; Conclusion: In the study conducted, the primary mandibular right second molar was the most extracted tooth.

Performance Management and the Specificities of Public Hospitals

The aim of this article is to describe the specific features of public hospitals that hamper performance measurement. We conducted a literature review of several theses and articles, which enabled us to describe the specificities of public hospitals and their impact on hospital performance measurement and management systems.

Integration of Artificial Intelligence in Hospital Management Systems: An Overview

Integration of Artificial Intelligence in Hospital Management Systems: An Overview

Hospital Management System Project Report

Hospital Management System Project Report

Prevalence of Dental Caries in Permanent Second Molars in Teenagers Using ICDAS

Introduction: Dental caries is a chronic disease of the tooth which is represented by demineralisation and destruction of the organic matter of the tooth. Dental caries are versatile, capable of affecting the crown portion of the tooth initially, and may affect the unprotected root surfaces later on. International Caries Detection and Assessment System (ICDAS) provides a systematic approach of reviewing the available clinical dental caries to evaluate the development of dental caries&#x0D; Materials and Methods: This study is a single centered retrospective study in which the data was collected from a private dental college and hospital in Chennai, India. Patient details were collected from the hospital management system and a total of 1804 samples were collected. The data was tabulated using Excel and then statistically analysed using the latest version of SPSS software.&#x0D; Results and Discussion: The prevalence of ICDAS score 3 in second molars is higher in 17 year old patients with 2.88% in maxillary right second molars, 3.33% in maxillary left second molars, 3.55% in mandibular left second molars and 3.71% in mandibular right second molars. The prevalence of dental caries in permanent second molar is 9.34%. It is seen that ICDAS score 3 is 8.71% prevalent followed by ICDAS score 5 which is 0.63%.&#x0D; Conclusion: Within the limitations of the study, it was found that the prevalence of dental caries in permanent second molars is 9.34% with ICDAS score 3 being the most prevalent followed by ICDAS score 5 which is 0.63%.