Integrated Health Information System Research Articles

The use of artificial intelligence, numerical algorithms and expert approach in selected nephrology problems

Background: The integration of AI, numerical algorithms, and expert approaches in nephrology shows promise for enhancing patient care. Traditionally, nephrology relied on clinician expertise, but the growing volume of data requires innovative methods. AI, fueled by vast datasets, can uncover patterns and improve diagnostic accuracy and treatment optimization. Numerical algorithms enable computational modeling of renal physiology and disease progression, aiding in treatment prediction and optimization. Expert systems codify nephrologists' knowledge into decision support tools, aiding in diagnosis and treatment selection. Embracing these technologies can revolutionize nephrological practice, improving patient outcomes.Aim of the study: The aim of the research is to review scientific works on the use of artificial intelligence (AI), numerical algorithms, and expert algorithms in diagnosis, decision support and prediction of selected disease states and issues related to nephrology.Material and methods: The study rigorously retrieved relevant publications from esteemed academic databases, Scopus and PubMed, and screened them based on predefined criteria. Through keyword-based searches, it analyzed the intersection of nephrology and artificial intelligence, offering insights into emerging trends and advancements. This approach facilitated a comprehensive exploration of the integration of artificial intelligence in nephrology research, paving the way for future developments in the field.Results: Artificial intelligence in nephrology and medicine uses various technologies such as machine learning, deep learning and natural language processing to improve diagnosis, treatment and patient care. Analyzes clinical, laboratory, imaging and genetic data to accelerate the identification of kidney diseases. By integrating health information systems and research data, artificial intelligence enables pattern recognition, outcome prediction and treatment optimization, ultimately having the potential to permanently improve patient care.Conclusions: Numerical algorithms, artificial intelligence, and expert algorithms show promise in nephrology, improving patient care and research.

The Steps on the Path of Digital Transformation in Greek Public Healthcare: Challenges and Prospects

Globally, the tremendous growth of Information and Communication Technology (ICT) has led to a great expan- sion of the information produced, emerging new terms such as E-government (EG), Digital Governance (DG), and Digital Transformation (DT) that brought revolutionary changes in public administration and other sectors such as telecommunication, industry, and energy but not enough in public healthcare area. This study set out to explore the level of development of DT of Greek Public Healthcare (GPH) since 2000, focusing on the e-Health and Digital Health (DH) applications and services, and highlighting its accelerated development due to COVID-19 pandemic and its main problems in its application. A review of compara- tive studies published from 2000 to date was conducted. Search was demonstrated on Organisation for Economic Co-operation and Development (OECD), European Com- mission and Open Data Institute (ODI) databases, and Greek Legislation Framework. Keywords we used: «Digital Transformation», “Digital Governance”, “e-Health”, “Digi- tal Health”, “Electronic Health Record”, “e-prescription”, “Health Information Systems”, “Health Atlas”, “m- Health/Mobile Health”, “Telemedicine”, “Telehealth”, “ICT Action Plan”. During the first decade, there were many advances in DG and DT, like the Integrated Health Infor- mation Systems (IHIS), which in the majority of their implementation have not adequately fulfilled their role remaining as isolated HIS. The second decade, marked by the memorandum and the economic crisis, brought many significant changes in the context of the organization and rational administration of the GPH, especially in the field of DT, DG, and e-Health such as e-prescription, ESY.net, e-inventories, e-warehouses, e-invoicing of hospital charges, electronic Statements of Detailed Health Documents (eDAPY), the United4Health project, the National Telemedicine Network and the partially developed Individual Electronic Health Record (IEHR). Taken together, these results suggest that, Greece still lags in the field of e- Health and significant steps are needed to make GPH cost-effective, accessible, and inclusive, such as among others the integration of IEHR and the import of Laboratory Infor- mation System (LIS) and Picture Archiving and Communi- cation System (PACs) data into the IEHR.

Impact of the COVID-19 vaccination campaigns in Argentina during 2021: An observational quantification of the death probability for confirmed cases in Buenos Aires province

BackgroundA SARS-CoV-2 (COVID-19) vaccination campaign was launched in Argentina in January 2021. The vaccines then available were administered to the population in several different schemes. This observational study presents a quantification of the impact of the different schemes on the probability of death for confirmed COVID-19 cases in Argentina's Buenos Aires Province. The results provide a local measure of the schemes' effectiveness that heretofore has been lacking. MethodsThe study's main source of information is the Integrated Health Information System database, which contains 1,538,113 records of confirmed SARS-CoV-2 (COVID-19) cases reported in 2021 in the Province. To assess the real-world effectiveness of the vaccination campaign, two categorical variables representing vaccination status were defined. Probability of death was formulated as a generalized linear model with a logistic link and includes variables for geography, a socio-economic level index, symptom onset, sex, and vaccination status. The effectiveness level was derived from the death probability estimates. FindingsThe study's findings indicated that the most effective vaccine was rAd26-rAd5 (Sputnik), with ChAdOx1-S (AZ/Covishield) and BBIBP-CorV (Sinopharm) following in efficacy, for both single and multiple doses. The effectiveness of a single dose was consistently below 50%, while it ranged from 50% to 90% for two or more doses. Notably, the analysis of variables such as the municipality of residence of the infected persons and the season of symptom onset yielded particularly intriguing insights. The socioeconomic level of a municipality emerged as a moderately strong predictor of the probability of death, which was marginally higher in municipalities with lower-income populations. Additionally, the data revealed an increased probability of death during the winter season. InterpretationThe vaccination campaigns carried out in Buenos Aires Province in 2021 significantly contributed to reducing the number of deaths due to SARS-CoV-2 (COVID-19) among its population. However, the extent of this impact varied considerably depending on individual characteristics such as age, health status, and vaccination schedule adherence.

Integrated health information system in the Republic of Serbia

The Republic of Serbia's integrated health information system (IHIS) serves as a central electronic repository for storing and processing various medical and health-related data. It encompasses patient records, institutional information, details of health interventions and services, electronic prescriptions, appointment scheduling for specialist consultations, diagnostic procedures, and surgical operations. The implementation of this system promises several benefits, including improved access to patient information, expedited diagnostics, enhanced medication selection processes, heightened patient safety measures, more comprehensive health-statistical reporting, and accelerated dissemination of biomedical knowledge. This paper aims to explore the advantages of employing information technologies in healthcare delivery within health institutions, contrasting it with traditional methods of data collection, analysis, and interpretation, specifically focusing on primary healthcare institutions. Drawing upon current professional and societal perspectives, the paper discusses the conceptual framework and objectives of IHIS, emphasizing the significance of leveraging information technologies in healthcare.

Factors Influencing Electronic Health Record Workflow Integration Among Nurses in Saudi Arabia: Cross-Sectional Study.

Globally, healthcare organizations have transitioned from paper-based documentation to electronic health records (EHR), including in Saudi Arabia. However, the adoption of EHR at the national level in Saudi Arabia needs more attention. Thus, this study aimed to determine the workflow integration of EHR and associated factors. The specific aims were to examine the level of EHR use and workflow integration among nurses, to determine the differences in EHR use and workflow integration based on nurses' demographic characteristics, and to determine the association between the predictive factors and EHR workflow integration. This is a cross-sectional, correlational descriptive study. The data were collected from 293 nurses using the convenience sampling method. The participating nurses completed a questionnaire that included two measures: the Information System Use Survey and the Workflow Integration Survey (WIS). The data were analyzed using descriptive and multivariate statistics with SPSS software. The nurses had a positive perception of EHR use and workflow. The EHR use scores differed based on workplace (P < .01), education level (P < .05), and area of practice (P < .001). Similarly, the EHR workflow integration scores varied according to workplace (P < .05), education level (P < .05), and area of practice (P < .001). Education level and workplace significantly predicted information system use. Furthermore, education level and information system use significantly predicted the EHR integration into nurses' workflow. The nurses expressed a greater perceived use of EHR regarding the integrated health information system, which was a predictor of EHR integration into nurses' workflow.

A Data-Driven Paradigm for a Resilient and Sustainable Integrated Health Information Systems for Health Care Applications.

Many transformations and uncertainties, such as the fourth industrial revolution and pandemics, have propelled healthcare acceptance and deployment of health information systems (HIS). External and internal determinants aligning with the global course influence their deployments. At the epic is digitalization, which generates endless data that has permeated healthcare. The continuous proliferation of complex and dynamic healthcare data is the digitalization frontier in healthcare that necessitates attention. This study explores the existing body of information on HIS for healthcare through the data lens to present a data-driven paradigm for healthcare augmentation paramount to attaining a sustainable and resilient HIS. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: PRISMA-compliant in-depth literature review was conducted systematically to synthesize and analyze the literature content to ascertain the value disposition of HIS data in healthcare delivery. This study details the aspects of a data-driven paradigm for robust and sustainable HIS for health care applications. Data source, data action and decisions, data sciences techniques, serialization of data sciences techniques in the HIS, and data insight implementation and application are data-driven features expounded. These are essential data-driven paradigm building blocks that need iteration to succeed. Existing literature considers insurgent data in healthcare challenging, disruptive, and potentially revolutionary. This view echoes the current healthcare quandary of good and bad data availability. Thus, data-driven insights are essential for building a resilient and sustainable HIS. People, technology, and tasks dominated prior HIS frameworks, with few data-centric facets. Improving healthcare and the HIS requires identifying and integrating crucial data elements. The paper presented a data-driven paradigm for a resilient and sustainable HIS. The findings show that data-driven track and components are essential to improve healthcare using data analytics insights. It provides an integrated footing for data analytics to support and effectively assist health care delivery.

Impact of Various Risk Factors on the Positive Fecal Immunochemical Test for Colorectal Cancer in the Iranian Population.

Background: Colorectal cancer (CRC) is the most prevalent cancer with high mortality worldwide. We aimed to evaluate the incidence of CRC based on the positive fecal immunochemical test (FIT) result in the Iranian population. Methods: The present study was conducted on the health assessment data recorded in the SINA (Integrated Health Information System) in 2018 and 2019 from individuals who had participated in the national program, including asymptomatic people aged 50-69 years or had risk factors of CRC such as family or past personal history of CRC as well as symptomatic individuals, for the early detection and prevention of CRC in Mashhad, Iran. Results: The study participants included 140,463 eligible individuals, of whom 8258 (5.88%) and 145 (2.21%) were positive for FIT and diagnosed with colon cancer, respectively. Unfortunately, only 654 people had undergone colonoscopy. Our results indicated that age, fast food intake (≥two units per day), family history of CRC in first or second-degree relatives, some gastrointestinal diseases such as inflammatory bowel disease (IBD) and CRC, as well as bleeding per anus, constipation, abdominal cramp, and losing body weight were associated with increased risk of positive FIT. However, some other factors, including having a hard job, physical activity, and Iranian nationality (compared to non-Iranians), were associated with a low risk of positive FIT screening tests for CRC. Conclusion: A high number of high-risk persons in Mashhad were positive for the FIT test in 2018-2019, and many of them were diagnosed with CRC, according to the colonoscopy results. Therefore, screening is highly recommended as the first step in the early detection of CRC.

The Primary Health Care Approach: Rhetoric or Policy? - A Review of National Health Policies in 8 Countries in Southern Africa

INTRODUCTION: The Primary Health Care approach (PHC) can contribute towards universal health coverage (UHC). However, implementing the PHC approach in Africa remains suboptimal. One way to ascertain political commitment to the PHC approach is its reflection in the national health policies (NHP). Several PHC initiatives have helped define and guide the PHC definition, implementation, and evaluation. These include the Alma Ata PHC conference, the Ouagadougou Declaration on PHC in Africa, and the Astana conference. The aim of this paper is to explore to what extent the guidance and characteristics of the PHC approach have been reflected and integrated into the National Health Policies (NHPs) in countries in the Southern African Development Community (SADC). &#x0D; &#x0D; METHODS: The READ approach was undertaken to analyze eight publicly available NHPs. A 12-point checklist was developed to extract relevant data from the policy documents.&amp;nbsp; The WHO Health Systems building blocks are used as the analytical framework to understand the key features of the PHC approach mentioned in the policies.&#x0D; &#x0D; RESULTS: All the NHPs were developed after the Alma Ata conference in 1978. Six of the eight NHPs reviewed were updated after the Ouagadougou declaration on PHC in Africa in 2008. None of the NHPs were updated after the 2018 Astana PHC conference. Based on the checklist, Lesotho had the most integrated PHC elements (n=12), while Eswatini had the least (n=4). Based on the policy review, there seems to be commitment and priority placed on leadership, governance, and access to essential medicines. However, more still needs to be done to improve service delivery in terms of integrated patient centered care (only included in 3 out of the 8), health financing for primary care, integrated health information systems and the community health workers as part of the health workforce. &#x0D; &#x0D; CONCLUSION: In conclusion, NHPs should guide implementation, and the NHP is a reference document for many organizations wishing to partner with the government in improving health care services. As such, it should be updated in line with the new evidence and learning and reflect the country&amp;rsquo;s priorities to help align development actors.

Community and Facility Health Information System Integration in Malawi: A Comparison of Machine Learning and Probabilistic Record Linkage Methods

Community and Facility Health Information System Integration in Malawi: A Comparison of Machine Learning and Probabilistic Record Linkage Methods

A Narrative Review of the Frameworks, Challenges, and Applications of Interoperability in E -Health

Introduction: Integrated Health Information Systems (HIS) are necessary to achieve national and international goals in health and development, which are facing cooperation problems due to diversity and heterogeneity. Interoperability as a key characteristic of data sharing and the main prerequisite of integration enables healthcare providers to make timely decisions for diagnosis, treatment, action, and patient care. Therefore, this research aimed to provide a category of interoperability concepts in electronic health ( E -Health). Method: This research is a narrative review to categorize the interoperability concepts in E - Health. For this purpose, Scopus, Google Scholar, PubMed, Science Direct, and IEEE databases were searched using the keywords "Interoperability framework" and "Integration" with the combination of AND along with "E -Health". Therefore, all the articles referring to the concepts of interoperability were selected. Results: The result of the search in the aforementioned databases was 304 articles. By removing duplicate, out -of-reach, and unrelated articles, only 40 articles were examined, and topics related to the concepts of interoperability were classified based on six axes (dimensions, levels, obstacles, integration, architecture, and measurement). Finally, its applications and challenges were described in a narrative review. Conclusion: Due to the nature of the health system, integrity and intelligence are very important in this area. Therefore, to facilitate the exchange of information and the use of health information systems from each other’s services, paying attention to the presented classification has an undeniable effect, and also, an important role in the integrity and intelligence of the environment, and increases the efficiency and effectiveness in the quality of providing health care services.

Konsep Sistem Informasi Manajemen Organisasi dalam Pelayanan Kesehatan

The purpose of the research is to find the Concept of Organizational Management Information Systems in Health Services. Research method is a research that reviews literature using a number of sources selected based on standards of inclusion and exclusion of researchers. This research is a review of literature by doing searches and searches of libraries to produce articles on a particular research topic or problem. Research results One important component in the provision of medical services in the clinic is the health information system. Patient documentation becomes easier, operational efficiency increases, and decision-making becomes more accurate with integrated health information systems. Some of the other benefits of implementing a health information system include centralized patient data storage, inter-departmental integration, performance monitoring, and improved patient service. However, the use of SIK also faces issues such as costs, adjustment of procedures, data security, and user acceptance. Clinics can improve the efficiency and quality of services by understanding the advantages and disadvantages of Health Information Systems.

Security approaches for electronic health data handling through the Semantic Web: A scoping review

Integration of health information systems are crucial to advance the effective delivery of healthcare for individuals and communities across organizational boundaries. Semantic Web technologies may be used to connect, correlate, and integrate heterogeneous datasets spread over the internet. However, when working with sensitive data, such as health data, security mechanisms are needed. A scoping review of the literature was undertaken to provide a broad view of security mechanisms applied to, or along with, Semantic Web technologies that could allow its use with health data. Searches were conducted in the most relevant databases for the scope of this work. The findings were classified according to the main objective and features presented by each solution. Twenty-six studies were included in the review. They introduced mechanisms that addressed several security attributes, such as authentication, authorization, integrity, availability, confidentiality, privacy, and provenance. These mechanisms support access control frameworks, semantic and functional interoperability infrastructures, and privacy compliance solutions. The findings suggest that the application and use of Semantic Web technologies is still growing, with the healthcare area being particularly interested. The main security mechanisms for Semantic Web technologies, the key security attributes and properties, and the main gaps in the literature were identified, helping to understand the technical needs to mitigate the risks of handling personal health information over the Semantic Web. Also, this research has shown that complex and robust solutions are available to successfully address several security properties and features, depending on the context that the electronic health data is being managed.

Health Systems of Iran and Portugal: A Comparative Study.

Background: A health system consists of people, institutions, and resources that provide health services to meet the health needs of the target population. Health systems in developed and developing countries have different characteristics from which some lessons can be learned. The aim of this study is to compare the two health systems of Portugal and Iran. Methods: The study was conducted in 2021 using a comparative study approach. The WHO's six building blocks framework was used for the comparison (i.e., governance and leadership, health financing, health workforce, health information system, medication, and service delivery). A six-step protocol was used to review the literature. International databases such as Medline / Pub Med and Scopus were searched. Policy briefs, reports, and dissertations were also reviewed. Results: In both countries, the Ministry of Health is centrally responsible for health system governance. Healthcare financing is 80% government-funded in Portugal and 55% in Iran. In both countries, Health systems are mixed (NHS, NHI, and out-of-pocket model) and the unbalanced regional distribution is a major problem for human resources. In Iran, generic drugs are used, while Portugal combines generic and branded systems. In both countries, there are some challenges in integrating health information systems for health centers and hospitals. Conclusion: In both countries, some autonomy should be delegated to the regions. In Iran, public sector investment in the health system in Iran should be increased to reduce the currently very high out-of-pocket payments in the health system. In both countries, the distribution of resources, especially human resources, should be modified by designing some incentives. Increasing the share of generic drugs in Portugal will have a positive impact on cost control in the drug sector. It seems necessary to develop programs to strengthen the health information system in both countries.

Postnatal contraception provision in an inpatient perinatal mental health unit

<h3>Objectives</h3> For persons living with HIV (PLWH) in long-term care, clinic transfers are common and influence sustained engagement in HIV care, as they are associated with significant time out-of-care, low...

A Case-Based Monitoring Approach to Evaluate Safety of COVID-19 Vaccines in a Partially Integrated Health Information System: A Study Protocol.

In response to Coronavirus disease 2019 (COVID-19) global pandemic, various COVID-19 vaccines were rapidly administered under emergency use authorization. Rare outcomes associated with COVID-19 vaccines might be less likely to be captured in clinical trials, leading to a knowledge gap in real-world vaccine safety. In contrast with high-income countries, many low-to-middle income countries have limited capacity to conduct active surveillance, owing to the absence of large and fully-integrated health information databases. This paper describes the study protocol, which aims to investigate risk of prespecified adverse events of special interests following COVID-19 vaccination in a partially integrated health information system with non-shareable electronic health records. The SAFECOVAC study is a longitudinal, observational retrospective study of active safety surveillance using case-based monitoring approach. This involves linkage of several administrative databases and hospitalization data monitoring to identify adverse events of special interests following administration of COVID-19 vaccines in Malaysia. The source population comprises of all individuals who received at least one dose of COVID-19 vaccine. Self-controlled design and vaccinated case-coverage design will be employed to assess risk of adverse events of special interests and determine the association with vaccine exposure. Data on vaccination records will be obtained from the national COVID-19 vaccination register to identify the vaccination platforms, doses and the timing of vaccinations. The outcome of this study is hospitalization for the adverse events of special interests between March 2021 and June 2022. The outcomes will be obtained through linkage with hospital admission database and national pharmacovigilance database. Findings will provide analysis of real-world data which can inform deliberations by government and public health decision makers relative to the refinement of COVID-19 vaccination recommendations.

Mood Disturbances Across the Continuum of Care Based on Self-Report and Clinician Rated Measures in the interRAI Suite of Assessment Instruments

BackgroundMood disturbance is a pervasive problem affecting persons of all ages in the general population and the subset of those receiving services from different health care providers. interRAI assessment instruments comprise an integrated health information system providing a common approach to comprehensive assessment of the strengths, preferences and needs of persons with complex needs across the continuum of care.ObjectiveOur objective was to create new mood scales for use with the full suite of interRAI assessments including a composite version with both clinician-rated and self-reported items as well as a self-report only version.MethodsWe completed a cross-sectional analysis of 511,641 interRAI assessments of Canadian adults aged 18+ in community mental health, home care, community support services, nursing homes, palliative care, acute hospital, and general population surveys to develop, test, and refine new measures of mood disturbance that combined clinician and self-rated items. We examined validity and internal consistency across diverse care settings and populations.ResultsThe composite scale combining both clinician and self-report ratings and the self-report only variant showed different distributions across populations and settings with most severe signs of disturbed mood in community mental health settings and lowest severity in the general population prior to the COVID-19 pandemic. The self-report and composite measures were strongly correlated with each other but differed most in populations with high rates of missing values for self-report due to cognitive impairment (e.g., nursing homes). Evidence of reliability was strong across care settings, as was convergent validity with respect to depression/mood disorder diagnoses, sleep disturbance, and self-harm indicators. In a general population survey, the correlation of the self-reported mood scale with Kessler-10 was 0.73.ConclusionsThe new interRAI mood scales provide reliable and valid mental health measures that can be applied across diverse populations and care settings. Incorporating a person-centered approach to assessment, the composite scale considers the person's perspective and clinician views to provide a sensitive and robust measure that considers mood disturbances related to dysphoria, anxiety, and anhedonia.

Analisa Barrier Implementasi Sistem Pada Website Sistem Informasi Kesehatan Terpadu (SIKAT) di Puskesmas Kutabumi

The health information system (SIK) is a systematic and integrated health data and information system at the government level in fulfilling health management support to improve services to the community. The Kutabumi Health Center has an Integrated Health Information System (SIKAT) which is directly integrated with the Health Office. The Integrated Health Information System (SIKAT) is available in the form of a website which is an information system website to assist the process of running health services at the Kutabumi Health Center, one of which is data entry. This study aims to determine the problems that occur at the Kutabumi Health Center related to the implementation of an integrated health information system (SIKAT) related to phenomena that have been proven. Based on this, it is necessary to analyze the system implementation barriers which are expected to provide an overview of the existing system management conditions and provide recommendations to produce information from an appropriate system, in order to achieve the goals set by the Kutabumi Health Center. This research method uses an analytical approach to technology/innovation implementation barriers with dimensions of organizational inertia, habitual routines, and poor readiness (financial &amp; human resources). The analysis in this study uses chi square and contingency analysis. The results showed that the factors of unfavorable readiness (financial factor readiness), routine habits (habits), organizational slack (description of organizational structure and leadership mandate) were the inhibiting factors for the implementation of SIKAT at the Kutabumi Health Center.

Literature Review: Overview of Integrated Health Information System Management in Hospitals

The Health Information System was developed primarily to support health management. The information system used is more focused on a computer-based information system supported by a medical record unit. Electronic Medical Record is the use of information technology devices for collecting, storing, processing and accessing data stored in patient medical records in hospitals in a data-based management system that collects various medical data sources. In managing the health information system, providing access to patient data in digital format, it is hoped that it will make it easier for medical officers to track patient data from time to time, making it easier to obtain patient health information. The process of implementing the system management in this study can be divided into five things, namely: 1.Human Resources, 2.Policies and institutions, 3. System implementation, 4. Data and its management, 5. Access and data integration. This serves to improve the quality of comprehensive health services to patients and medical personnel in helping to provide better health services. In the integrated patient health information system management model, it must provide access to patient health information and allow the exchange of data managed by several medical officers, patient data managers and other hospitals. This is supported by a health information system equipped with a data security system and support from the head of the hospital.

RANCANG BANGUN SISTEM INFORMASI RETENSI REKAM MEDIS DI RSIA X

This study aimed to design and create an outpatient medical record retention information system at The X Hospital. The results of research conducted, found several problems faced by the health center. It’s hard to find active and inactive medical record data, so the medical record data that are retained or inactive is unknown. The research method used is a qualitative approach that is supported by data collection techniques, using observation, interviews, and library research. The development method used is the waterfall method assisted by the design of Data Flow Diagrams. This system is based on a desktop that uses Microsoft Visual Studio 2010 as a programming language and uses the Microsoft Office Access 2013 database. Based on the problems above, the writer tries to give some suggestions, including (1) the Need development of information systems technology that the author will design. (2) Integration of health information systems to obtain efficient and effective performance.

PERANCANGAN SISTEM INFORMASI PENDAFTARAN PASIEN RAWAT JALAN MENGGUNAKAN MICROSOFT VISUAL STUDIO 2010 DI PUSKESMAS CIJAGRA LAMA KOTA BANDUNG

This study aims to determine the design of an outpatient registration information system using Microsoft Visual Studio 2010 at the Cijagra Lama Public Health Center, Bandung City. The research method used is a qualitative approach supported by data collection techniques by means of observation, interviews, literature studies and internet studies. The development method used is the waterfall method which is assisted by the design of Data Flow Diagrams. This system is made on a desktop basis that uses Microsoft Visual Studio 2010 as a programming language and uses the Microsoft Office Access 2013 database. The problem that often occurs is the length of registration is closely related to the service process because the registration system is often problematic so that it hampers the registration process. design. ( 2 ) Integration of health information systems in order to obtain efficient and effective performance. (3) consider and redevelop the information system for each medical record data processing activity.&#x0D; Keywords: System Design, Information Systems, Registration, Outpatient