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This paper compares the interoperability approaches of three countries: Taiwan, Denmark and Canada. The work maps out how various countries have addressed the interoperability problems as well as what factors affect decisions and the result, and in what manner. The key findings are as follows: (1) The federal government's ability to mandate standards affects choice of interoperability strategy; (2) E-Health status influences choice of interoperability strategy; (3) Differences in geography, population, and demographics affect the selection of national strategies towards interoperability. [ABSTRACT FROM AUTHOR]

Based on researches, the most time-consuming nursing activities, in teaching hospital, are: room patrols, the blood pressure survey, the body temperature pulse breath survey, the nursing record maintenance [1]. The nursing record is one way to communicate data. It can allow the medical service team to understand what measures the nursing staff once did for sickness, as well as responses from sickness. Nevertheless, it is the key component to utilize the record with a clinical nursing plan, so as to provide a proficient health management. Since the maintenance of nursing plan is costly and time-consuming, therefore, it is essential to establish the nursing plan information system, which can effectively promote the nursing quality. This research main body comes from one infectious disease division nursing plan information system, which was developed in 1992, and its data base covers entire courtyard compatibility and various faculties characteristic nursing plan. The nursing staff often complained that this system is not user-friendly, its contents are not comprehensive, and sometimes it does not let staff choose the right diagnosis. Therefore this research is based on history analysis and the questionnaire survey procedure first, the infectious disease nursing plan use number of times, the frequency and the project content, then by the literature scientific theory and result of the improvement group discussion together. The original 38 infectious disease division nursing plan will be expanded to 45 nursing plans. Moreover, the common 38 infectious disease code (ICD-9), and its corresponding diagnosis items, shall automatically appear in the disease diagnose code field, so it would be better off for the nursing staff to set up the nursing plan efficiently. Infectious disease division nursing plan information system utilization ratio is promoted 9.6-folds, according to research outcome. Each task consumes 3.68 minutes beforehand—including computer program operation, the printing of nursing plan, and now it turned out that it shall not take more than 3.08 minutes. The time efficiency is raised by 17% (0.6 minute). Yet only 17% of the users are satisfied with it before, and now 74% nursing staffs are happy with the new tool.Therefore, it shall not only improve our service quality, but also save labor cost by using this information supplementary system. [ABSTRACT FROM AUTHOR]

The nursing process consists of five interrelated steps: assessment, diagnosis, planning, intervention, and evaluation. In the nursing process, the nurse collects a great deal of data and information. The amount of data and information may exceed the amount the nurse can process efficiently and correctly. Thus, the nurse needs assistance to become proficient in the planning of nursing care, due to the difficulty of simultaneously processing a large set of information. Computer systems are viewed as tools to expand the capabilities of the nurse's mind. Using computer technology to support clinicians' decision making may provide high-quality, patient-centered, and efficient healthcare. Although some existing nursing information systems aid in the nursing process, they only provide the most fundamental decision support – i.e., standard care plans associated with common nursing diagnoses. Such a computerized decision support system helps the nurse develop a care plan step-by-step. But it does not assist the nurse in the decision-making process. The decision process about how to generate nursing diagnoses from data and how to individualize the care plans still reminds of the nurse. The purpose of this study is to develop a pilot structure in electronic nursing record system integrated with international nursing standard for improving the proficiency and accuracy of plan of care in clinical pathway process. The proposed pilot systems not only assist both student nurses and nurses who are novice in nursing practice, but also experts who need to work in a practice area which they are not familiar with. [ABSTRACT FROM AUTHOR]

The nursing process consists of five interrelated steps: assessment, diagnosis, planning, implementation, and evaluation. In the nursing process, the nurse confronts a great deal of data and information. The amount of data and information may exceed the amount the nurse can process efficiently and correctly. Thus, the nurse needs assistance to become proficient in the planning of nursing care, due to the difficulty of simultaneously processing a large set of information. Thus, some form of assistance will be needed to help nurses to become more proficient in planning nursing care. Using computer technology to support clinicians' decision making may provide high-quality, patient-centered, and efficient healthcare. Although some existing nursing information systems aid in the nursing process, they only provide the most rudimentary decision support – i.e., standard care plans associated with common nursing diagnoses. Such a computerized decision support system helps the nurse develop a care plan step-by-step. But it does not assist the nurse in the decision-making process. The decision process about how to derive nursing diagnoses from data and how to individualize the care plans still remains in the mind of the nurse. The purpose of this study is to develop a pilot structure in an electronic nursing record system integrated with international nursing standards for improving the proficiency and accuracy of the plan of care in the clinical pathway process. The pilot system has shown promise in assisting both student nurses and beginner nurses. It also shows promise in helping experts who need to work in a practice area that is outside of their immediate domain. [ABSTRACT FROM AUTHOR]

Public health informatics has been defined as the systematic application of information and computer science and technology to public health practice, research, and learning [1]. Unfortunately, limited reports exist concerning to the capacity building strategies to improve public health informatics workforce in limited-resources setting. In Indonesia, only three universities, including Universitas Gadjah Mada (UGM), offer master degree program on related public health informatics discipline. UGM started a new dedicated master program on Health Management Information Systems in 2005, under the auspice of the Graduate Program of Public Health at the Faculty of Medicine. This is the first tracer study to the alumni aiming to a) identify the gaps between curriculum and the current jobs and b) describe their perception on public health informatics competencies. We distributed questionnaires to 114 alumni with 36.84 % response rate. Despite low response rate, this study provided valuable resources to set up appropriate competencies, curriculum and capacity building strategies of public health informatics workforce in Indonesia. [ABSTRACT FROM AUTHOR]

Although the electronic medical record (EMR) has been applied extensively, the sharing and exchange of medical records between hospitals are still very difficult because of the variety of the size of hospitals and the absence of a standard form for clinical records. As the network technology is developed fast, constructing standardized forms and modules for medical information exchange becomes a necessary beside the numerous services provided by any hospitals. For the purpose of the development of the medical informatics in Taiwan, the Department of Health Executive Yuan initiated a project in 2004 for establishing a standard template of medical record and unified medical vocabulary. The project also put forward the preferential order of carrying out for which levels that the EMR standard template. In this research, we used the idea of Delphi Method to assemble an expert decision-working group, 11 experts in the domain of nursing care were enrolled. The experts were from different clinical agencies including medical centers and regional hospitals. They had one meeting every month from November 2004 to March 2005. We analyzed 869 nursing data fields, defined 33 record modules, and created six forms (or templates) including Vital Signs, Nursing Assessment, Nursing Intervention, Nursing Diagnosis, Care Plan, and Nursing Record of electronic nursing care. The standard templates have been used as the carrier of the nursing information exchange. XML structured documents were created to build a web-based EMR prototype system. After that, HTML-based documents were transformed to support the functions of data querying and downloading from the patients and clinical institutes using the interface of Web browser. [ABSTRACT FROM AUTHOR]

A As health technology advances, this study aims to develop an innovative nutritional intake management system that integrates artificial intelligence technology and social media software to achieve precise analysis of patient-generated data and comprehensive management in continuous care. Our system is built on the Line Bot platform, allowing users to easily and intuitively obtain detailed analyses of their individual nutritional intake by reporting dietary information. While users report their dietary habits through the Line Bot, our AI model conducts real-time analysis of nutrient intake, providing personalized nutritional recommendations. This instantaneous feedback not only enhances user engagement in nutritional management but also aids in establishing healthy habits. Additionally, through integration with social media software, our system facilitates information sharing and community support among users, promoting the exchange of nutritional knowledge and mutual assistance. This study further explores the specific needs of patients with chronic diseases, collecting individual data on chronic conditions and total nutritional intake. Based on the nutritional intake guidelines proposed by the Health Promotion Administration in Taiwan, more precise nutritional management recommendations are provided to meet the unique health needs of each patient. This study introduces a comprehensive, patient-generated data-based approach for precision nutrition management in continuous care. By integrating artificial intelligence, social media software, and data analysis, our system not only offers effective tools for monitoring and managing patients' nutritional intake but also fosters interaction and support among patients, driving the implementation of continuous care practices.

The use of Real-World Data (RWD) in medical data analysis is nowadays required. RWD may come from electronic health records (EHRs), insurance claims, medical products, Internet of Things sensors, health screenings, etc. The goal of RWD is that the data used for analysis should not be affected by environmental variables, experimental control, research context settings, etc. RWD can effectively reduce the cost and improve the accuracy of medical research. The clinical data and patient self-report are integrated, cleaned and pre-processed, and the data format is unified and standardized by international standard formats to provide a structured database for clinical research by this study. An international standard real-world research database was established through the breast cancer database of a medical center in Taipei.

Dengue fever is a viral infectious disease transmitted through mosquito bites, and has symptoms ranging from mild flu-like symptoms to deadly complications. Dengue fever is one of the global burden diseases which annually have 50-100 million cases with 500,000 cases of severe dengue fever, of which 22,000 deaths occur mostly in children. Despite the discovery of vaccines, vector control is still the main approach for prevention efforts. Early detection and accessibility to medical care can reduce severe Dengue mortality rate from 50% to 2%. In the previous study, both statistical and machine learning methods have the potential for predicting a Dengue outbreak, but the study is still fragmented and limited on implementing the generated model into an early warning system application. In this study, we developed an artificial intelligence model with spatiotemporal to predict Dengue outbreak and Dengue incidence case which is ready to be implemented into an early warning system application. Indonesia, especially Semarang City, has experienced an endemic Dengue. We used Semarang City spatiotemporal, meteorological, climatological, and Dengue surveillance epidemiology data from January 2014 to December 2021 in 16 districts of Semarang City. We reviewed 7208 samples from 16 districts and 1 city per week during 8 years. The entire dataset was divided into training (80%) and testing (20%) to develop a prediction model. We used machine learning and Long Short Term Memory (LSTM) to predict Dengue outbreak 1 week before the event for each district. and machine learning to predict Dengue incident cases 1 week before the event for each district. Accuracy, area under the receiver operating characteristic curve (AUROC), precision, recall, and F1 score were considered to evaluate the Dengue outbreak prediction model. The Dengue incidence cases prediction model will evaluate using Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-Squared (R2). Extra Trees Classifier model shown outperform in Dengue outbreak prediction, with accuracy 0.8925, AUROC 0. 9529, Recall 0.6117, precision 0.8880, and F1 score 0.7238. CatBoost Regressor model is shown to outperform in Dengue incidence cases prediction, with R2 0.5621, MAE 0.6304, MSE 1.1997, and RMSE 1.0891. The study proves that Artificial Intelligence (AI) with a spatiotemporal approach can give higher performance in Dengue outbreak and incidence cases prediction. Utilization of AI approaches that are sensitive with spatiotemporal feasibility to implement in Dengue early warning system application may contribute to increase the policy makers and community attention to do accurate community-based vector control.

Taiwan has been confronted with a serious problem of aging in recent years. The prevalence of the chronic diseases caused by aging is increased continuously, which has led to a high percentage of comorbidity and polypharmacy. The proportion of the elderly people with polypharmacy (over three to five kinds of drugs) is 81%. Under the situation of high comorbidity, the potentially inappropriate drug for the elderly have become a series problem. However, in order to promote personal health management, Taiwan's Ministry of Health and Welfare has released a service of "My Health Bank", which contains all the personal medical information issued by the National Health Insurance Department and can be downloaded by any individual person. This study designs a cloud-based personal health management platform to parse and store the information of "My Health Bank", establishes two databases, one for the health insurance drug table and one for the inappropriate medications. A warning of inappropriate personal medication will be generated based on a checking process. We expect that the application will enhance the safety of medication and improve the self-health management of the elderly.

Electronic prescribing is also known as Computerized Physician Order Entry (CPOE). It is a computer-aided system which offers the health professionals a robust platform for entering the prescription electronically. Due to paucity of facilities in Pakistan which are available around the world, there is an observable overburden on the health professionals and practitioners. CPOE system has shown to be very effective in minimizing medication errors. CPOE is beneficial for both patient and health organizations. There is great deal of interest in the adoption of this system in our healthcare system. The results state clearly that this system is equally beneficial for organizations who want to adopt this system as perceived by the health professionals. It supports the idea of adoption and implementation of CPOE in healthcare facilities healthcare institutes. CPOE must be adopted to ease and optimize nursing services in Pakistani healthcare system.

This paper compares the interoperability approaches of three countries: Taiwan, Denmark and Canada. The work maps out how various countries have addressed the interoperability problems as well as what factors affect decisions and the result, and in what manner. The key findings are as follows: (1) The federal government's ability to mandate standards affects choice of interoperability strategy; (2) E-Health status influences choice of interoperability strategy; (3) Differences in geography, population, and demographics affect the selection of national strategies towards interoperability.

Based on researches, the most time-consuming nursing activities, in teaching hospital, are: room patrols, the blood pressure survey, the body temperature pulse breath survey, the nursing record maintenance. The nursing record is one way to communicate data. It can allow the medical service team to understand what measures the nursing staff once did for sickness, as well as responses from sickness. Nevertheless, it is the key component to utilize the record with a clinical nursing plan, so as to provide a proficient health management. Since the maintenance of nursing plan is costly and time-consuming, therefore, it is essential to establish the nursing plan information system, which can effectively promote the nursing quality. This research main body comes from one infectious disease division nursing plan information system, which was developed in 1992, and its data base covers entire courtyard compatibility and various faculties characteristic nursing plan. The nursing staff often complained that this system is not user-friendly, its contents are not comprehensive, and sometimes it does not let staff choose the right diagnosis. Therefore this research is based on history analysis and the questionnaire survey procedure first, the infectious disease nursing plan use number of times, the frequency and the project content, then by the literature scientific theory and result of the improvement group discussion together. The original 38 infectious disease division nursing plan will be expanded to 45 nursing plans. Moreover, the common 38 infectious disease code (ICD-9), and its corresponding diagnosis items, shall automatically appear in the disease diagnose code field, so it would be better off for the nursing staff to set up the nursing plan efficiently. Infectious disease division nursing plan information system utilization ratio is promoted 9.6-folds, according to research outcome. Each task consumes 3.68 minutes beforehand-including computer program operation, the printing of nursing plan, and now it turned out that it shall not take more than 3.08 minutes. The time efficiency is raised by 17% (0.6 minute). Yet only 17% of the users are satisfied with it before, and now 74% nursing staffs are happy with the new tool.Therefore, it shall not only improve our service quality, but also save labor cost by using this information supplementary system.

The nursing process consists of five interrelated steps: assessment, diagnosis, planning, intervention, and evaluation. In the nursing process, the nurse collects a great deal of data and information. The amount of data and information may exceed the amount the nurse can process efficiently and correctly. Thus, the nurse needs assistance to become proficient in the planning of nursing care, due to the difficulty of simultaneously processing a large set of information. Computer systems are viewed as tools to expand the capabilities of the nurse's mind. Using computer technology to support clinicians' decision making may provide high-quality, patient-centered, and efficient healthcare. Although some existing nursing information systems aid in the nursing process, they only provide the most fundamental decision support--i.e., standard care plans associated with common nursing diagnoses. Such a computerized decision support system helps the nurse develop a care plan step-by-step. But it does not assist the nurse in the decision-making process. The decision process about how to generate nursing diagnoses from data and how to individualize the care plans still reminds of the nurse. The purpose of this study is to develop a pilot structure in electronic nursing record system integrated with international nursing standard for improving the proficiency and accuracy of plan of care in clinical pathway process. The proposed pilot systems not only assist both student nurses and nurses who are novice in nursing practice, but also experts who need to work in a practice area which they are not familiar with.

The nursing process consists of five interrelated steps: assessment, diagnosis, planning, implementation, and evaluation. In the nursing process, the nurse confronts a great deal of data and information. The amount of data and information may exceed the amount the nurse can process efficiently and correctly. Thus, the nurse needs assistance to become proficient in the planning of nursing care, due to the difficulty of simultaneously processing a large set of information. Thus, some form of assistance will be needed to help nurses to become more proficient in planning nursing care. Using computer technology to support clinicians' decision making may provide high-quality, patient-centered, and efficient healthcare. Although some existing nursing information systems aid in the nursing process, they only provide the most rudimentary decision support--i.e., standard care plans associated with common nursing diagnoses. Such a computerized decision support system helps the nurse develop a care plan step-by-step. But it does not assist the nurse in the decision-making process. The decision process about how to derive nursing diagnoses from data and how to individualize the care plans still remains in the mind of the nurse. The purpose of this study is to develop a pilot structure in an electronic nursing record system integrated with international nursing standards for improving the proficiency and accuracy of the plan of care in the clinical pathway process. The pilot system has shown promise in assisting both student nurses and beginner nurses. It also shows promise in helping experts who need to work in a practice area that is outside of their immediate domain.