Patient Data Management Research Articles

Impact of technological innovations on healthcare delivery: A literature review of efficiency, patient care, and operational challenges

The rapid integration of technology in healthcare systems globally has ushered in transformative changes in patient care, operational efficiency, and data management. This literature review assesses the impact of emerging technologies such as blockchain, information technology, electronic medical records (EMRs), and artificial intelligence (AI) within healthcare settings. Drawing from a wide range of peer-reviewed articles and empirical studies, this paper synthesizes current research findings to understand the multifaceted effects of these technologies on healthcare delivery. The review highlights how these innovations enhance healthcare quality, streamline operations, and tackle prevalent challenges, particularly focusing on their implementation in Saudi Arabian healthcare contexts. Key findings indicate that while technological advancements offer significant improvements in patient care and system management, they also introduce challenges related to privacy, security, and the need for significant infrastructure investments. The review underscores the necessity for ongoing research to navigate technology adoption’s complexities and optimize healthcare practices effectively. This paper contributes to academic and practical discussions on leveraging technology to foster more efficient and responsive healthcare systems worldwide.\

Analysis of Readiness to Switch Manual Medical Records to Electronic Medical Records to Support the Effectiveness of Outpatient Registration at Muhammadiyah Hospital

The transition from manual to electronic medical records (EMR) is becoming a global trend in healthcare, driven by the Indonesian Ministry of Health's policy to improve service quality and efficiency in patient data management. This study aims to assess the readiness of Muhammadiyah Bandung Hospital to transition from paper-based medical records to EMR in outpatient registration. This descriptive qualitative study involved 5 informants, with data collected through interviews and direct observations. The results indicate that Muhammadiyah Bandung Hospital is ready to transition from paper-based to EMR in outpatient registration, although further engagement with key personnel in the polyclinic (PPA) and improvements in other factors such as infrastructure and staff training are needed. In conclusion, while the hospital shows good readiness, comprehensive strategies are required to ensure a smooth and effective transition.

Adoption of blockchain as a step forward in orthopedic practice.

Blockchain technology has gained popularity since the invention of Bitcoin in 2008. It offers a decentralized and secure system for managing and protecting data. In the healthcare sector, where data protection and patient privacy are crucial, blockchain has the potential to revolutionize various aspects, including patient data management, orthopedic registries, medical imaging, research data, and the integration of Internet of Things (IoT) devices. This manuscript explores the applications of blockchain in orthopedics and highlights its benefits. Furthermore, the combination of blockchain with artificial intelligence (AI), machine learning, and deep learning can enable more accurate diagnoses and treatment recommendations. AI algorithms can learn from large datasets stored on the blockchain, leading to advancements in automated clinical decision-making. Overall, blockchain technology has the potential to enhance data security, interoperability, and collaboration in orthopedics. While there are challenges to overcome, such as adoption barriers and data sharing willingness, the benefits offered by blockchain make it a promising innovation for the field.

From public to market use: a historical perspective on the changes in health data collection and use in France from 1930 to the present

PurposeThis study aims to understand the progressive marketization of health data collection and use, through a study of its historical development in France, from the 1930s to the present day.Design/methodology/approachThe authors collected a set of legal, institutional, political and media data. These came from the INA (National Audiovisual Institute), the French national newspaper websites and the websites legifrance.gouv.fr and vie-publique.fr. The authors then conducted a thematic content analysis.FindingsThe study results highlight the changes in the health-care system related to the increased use of data in France over three major periods. The first period – 1930s to 1980s – is marked by the creation of the French social security system to collect large sets of data to better manager people’s health care. The second period – 1980s to 2000s – is characterized by the adoption and assimilation of tools to manage patient data through several national and European regulations. The last period – 2000s to the present – saw the introduction of measures in favor of the digitalization of health care, and consequently of data, in parallel with the advancement of digital technologies in general. The institutional dynamics in healthcare have evolved with the nature of the actors and their practices, in connection with new perceptions about health data.Originality/valueThis research sheds light on the historical transformation of health data collection and use in France, revealing the involvement of diverse stakeholders, the discourses driving data development and the need for regulation. It exposes the dual nature of health data collection and use, initially sanctioned by the state and public entities but later exploited for private interests.

Introducing a digital emergency obstetric and newborn care register for indoor obstetric patient management: An implementation research in selected public health care facilities of Bangladesh.

Digital health records have emerged as vital tools for improving health care delivery and patient data management. Acknowledging the gaps in data recording by a paper-based register, the emergency obstetric and newborn care (EmONC) register used in the labour ward was digitised. In this study, we aimed to assess the implementation outcome of the digital register in selected public health care facilities in Bangladesh. Extensive collaboration with stakeholders facilitated the development of an android-based electronic register from the paper-based register in the labour rooms of the selected district and sub-district level public health facilities of Bangladesh. We conducted a study to assess the implementation outcome of introducing the digital EmONC register in the labour ward. The digital register demonstrated high usability with a score of 83.7 according to the system usability scale, and health care providers found it highly acceptable, with an average score exceeding 95% using the technology acceptance model. The adoption rate reached an impressive 98% (95% confidence interval (CI) = 98-99), and fidelity stood at 90% (95% CI = 88-91) in the digital register, encompassing more than 80% of data elements. Notably, fidelity increased significantly over the implementation period of six months. The digital system proved a high utility rate of 89% (95% CI = 88-91), and all outcome variables exceeded the predefined benchmark. The implementation outcome assessment underscores the potential of the digital register to enhance maternal and newborn health care in Bangladesh. Its user-friendliness, improved data completeness, and high adoption rates indicate its capacity to streamline health care data management and improve the quality of care.

Secure Cloud Services for the Healthcare Industry: Addressing Unique Challenges and Ensuring Compliance

Abstract: The healthcare industry is increasingly adopting cloud computing to manage patient data, provide telehealth services, and support remote work. However, this adoption presents unique challenges due to stringent regulations governing the handling of personal health information (PHI), such as HIPAA in the United States and GDPR in the European Union. Noncompliance with these regulations can result in significant financial penalties, reputational damage, and loss of patient trust. This article explores the specific data security needs of the healthcare industry, the challenges in adopting cloud services, and the essential features of secure cloud services tailored for healthcare. It also discusses the integration of artificial intelligence (AI) and automation in cloud services to enhance data security and operational efficiency, as well as future trends in cloud computing for healthcare, such as the increasing adoption of AI and machine learning for predictive analytics and automated threat detection. By providing a comprehensive overview of the data security needs, challenges, and solutions in adopting cloud services for healthcare, this article aims to assist healthcare organizations in making informed decisions when considering the adoption of cloud services and to highlight the importance of prioritizing data security and compliance in the digital transformation of the healthcare industry.

The Potential for Information Sharing Between an Electronic Medical Record System and the Moroccan Transplantation and Dialysis Registry: Examining Semantic Interoperability.

Background and aim In 2005, the Moroccan Ministry of Health established Magredial, a registry to track and monitor patients with end-stage renal disease (ESRD), with the aim of improving healthcare outcomes. After achieving initial success, Magredial's activity decreased, leading to its inactivity by 2015. Currently, efforts are underway to revive Magredial's use. The main goal of this study is to investigate the feasibility of data transfer between the electronic medical records (EMRs) of Hassan II Hospital of Fes, Morocco, and the registry by achieving semantic interoperability between the two systems Materials and methods The initial phase of this study involved a detailed review of existing literature, highlighting the importance of registries, especially in nephrology. This part of the study also aims to emphasize the role of semantic interoperability in facilitating the sharing of data between EMRs and registries. Following that, the study's second phase, which centered on the case study, conducted a detailed analysis of the data architectures in both Magredial and the EMR of the nephrology department to pinpoint areas of alignment and discrepancy. This step required cooperative efforts between the nephrology and IT departments of Hassan II Hospital. Results Our findings indicate a significant interoperability gap between the two systems, stemming from differences in their data architectures and semantic frameworks. Such discrepancies severely impede the effective exchange of information between the systems. To address this challenge, a comprehensive restructuring of the EMR is proposed. This strategy is designed to align disparate systems and ensure compliance with the interoperability standards the Health Level 7 Clinical Document Architecture (HL7-CDA) set forth. Implementing the proposed medical record approach is complex and time-consuming, necessitatinghealthcare professional commitment, and adherence to ethical standards for patient consent and data privacy. Conclusions Implementing this strategy is expected to facilitate the seamless automation of data transfer between the EMR and Magredial. It introduces a framework that could be a foundational model for establishing a robust interoperability framework within nephrology information systems in line with international standards. Ultimately, this initiative could lead to creating a nephrologist-shared health record across the country, enhancing patient care and data management within the specialty.

Healthcare Providers’ Readiness to Address Medical Device Cybersecurity within the Irish Healthcare System

Medical devices that can diagnose and treat critically ill patients have become sophisticated and complex. Device manufacturers have been developing these systems to meet market requirements as technology evolves. Combining medical devices and ICT into a distributed medical device IT system can be a solution to incorporating continuous monitoring from the patient bedside to interoperability with a clinical information system. These technology innovations aim to manage patient data and configure medical devices into networked systems that can provide functionality and safety. The implementation of a medical device network solution allows a healthcare provider to take advantage of managing the flow of information to improve clinical work practices and implement a system that can be interoperable with other clinical information systems. International Electrotechnical Commission (IEC) 80001-1 was developed to assist healthcare providers in identifying and managing the risks associated with medical devices sharing the same IT network with other systems and software. This standard defines roles, responsibilities, and activities in relation to the management of risk with medical devices on an IT network. This study aims to determine if the standard International Electrotechnical Commission (IEC) 80001-1 is being implemented and determine familiarity with regulations and appropriate standards and guidance for an effective medical device security risk-management program with Irish healthcare providers. A literature review highlighted the restrictions healthcare providers face in adopting and implementing IEC 80001-1 and the security threats and risks present when integrating medical devices and IT networks. The study research was conducted with clinical engineering members of the Biomedical and Clinical Engineering Association of Ireland (BEAI). This survey targeted BEAI members due to their wealth of experience, knowledge, and skill level in supporting complex medical device systems. An online anonymous survey was created to determine knowledge, awareness, and familiarity with IEC 80001-1 and other medical device security risk-management guidelines. The study research results revealed low knowledge, awareness, and familiarity among research participants with IEC 80001-1 and guidelines on medical device security risk management. These results were consistent with the literature review that a key to the success of standard adoption is collaboration between stakeholders and a multidisciplinary approach to compliance.

Konversi Dokumentasi Keperawatan Berbasis Elektronik

This research aims to improve the quality of nursing services, increase time and cost efficiency, optimize patient data management, improve care coordination, and provide better outcomes for patients overall. The method used was a systematic review carried out using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method. The databases used are Scopus, Science Direct, Pubmed and the Ners journal. The research results show that electronic-based documentation offers optimization for nurses in providing nursing care to patients. This includes more effective and efficient documentation, more integrated nursing care, and reducing the use of paper (paperless) which can contribute to reducing the impact of global warming and reducing hospital expenditure. In conclusion, changing nursing documentation in paper form to electronic documentation in hospitals requires careful preparation. Preparation for preparing the instruments used, supporting infrastructure and the readiness of nurses to carry out nursing documentation. Keywords: Nursing Documentation,Electronic Nursing Documentation

Workload reduction through automated documentation in intensive and intermediate care - a monocentric observational study.

The global coronavirus pandemic has placed an unprecedented and enormous burden on health systems worldwide. In addition to a shortage of resources, nurses were also confronted with high levels of sick leave and an increasing exodus from the profession. Automating documentation obligations is an effective way of reducing the burden on the workplace. The study was conducted at a tertiary university hospital. The time required for the manual documentation of administered medication and dose changes of syringe and infusion pumps was recorded using the patient data management system (PDMS) representing all intensive and intermediate care wards (n = 6). Subsequently, all medication administration - grouped into five classes - was evaluated from January 1st, 2019, until December 31st, 2022. A total of 1,373,340 drug applications were studied, treating 32,499 patients. Data were obtained from ICUs (68%) and IMC wards (32%). This corresponds to an overall time of 2,901 ± 233 hours per year. Based on publicly known national rates for intensive care nurses, an annual financial expenditure of approximately 83,300 € (~ USD 89,300) per year was estimated. A non-negligible part of the daily working time in the medical sector is spent on documentation duties. This aggravates the high workload, which has increased in recent years. Automated documentation systems can lead to considerable relief and the possibility of focusing primarily on the patient and on other core competencies and activities. This is even more important, as available staff will be a key resource in patient care for the foreseeable future.

Unveiling the future: precision pharmacovigilance in the era of personalized medicine

In the era of personalized medicine, pharmacovigilance faces new challenges and opportunities, demanding a shift from traditional approaches. This article delves into the evolving landscape of drug safety monitoring in the context of personalized treatments. We aim to provide a succinct reflection on the intersection of tailored therapeutic strategies and vigilant pharmacovigilance practices. We discuss the integration of pharmacogenetics in enhancing drug safety, illustrating how genetic profiling aids in predicting drug responses and adverse reactions. Emphasizing the importance of phase IV—post-marketing surveillance, we explore the limitations of pre-marketing trials and the necessity for a comprehensive approach to drug safety. The article discusses the pivotal role of pharmacogenetics in pre-exposure risk management and the redefinition of pharmacoepidemiological methods for post-exposure surveillance. We highlight the significance of integrating patient-specific genetic profiles in creating personalized medication leaflets and the use of advanced computational methods in data analysis. Additionally, we examine the ethical, privacy, and data security challenges inherent in precision medicine, emphasizing their implications for patient consent and data management.

Analysis of Blockchain Technology in Patient Data Management System : Security, Privacy, and Efficiency in the Digital Healthcare Context

In the rapidly evolving landscape of digital healthcare, ensuring secure, confidential, and efficient patient data management has become paramount. Blockchain technology has emerged as a promising solution to address these challenges. This study aims to analyze the implementation of blockchain technology within patient data management systems, with a specific focus on security, privacy, and efficiency in the context of digital healthcare. Within this framework, a notable gap arises between technological innovation trends and their practical application within the healthcare sector. This research expands our understanding of how blockchain can be effectively harnessed to tackle security and patient data privacy challenges within the increasingly interconnected digital healthcare environment. Employing a comprehensive methodology that encompasses qualitative and quantitative approaches, including surveys, literature analysis, and case studies, this study delves into how blockchain technology can provide an added layer of security to patient data, enhance privacy through improved access control, and streamline the sharing of health information. The novelty of this research lies in its holistic approach to identifying gaps in blockchain technology application methods within patient data management, while also addressing practical challenges inherent to the digital healthcare context. The anticipated outcomes of this analysis will provide valuable insights for decision-makers aiming to implement blockchain technology to fortify data security, safeguard privacy, and enhance efficiency within patient data management systems. In conclusion, this research contributes to a nuanced comprehension of the potential of blockchain technology to augment security, privacy, and efficiency in patient data management. By shedding light on innovative methods like blockchain integration, this study offers valuable guidance for effectively navigating the dynamic landscape of digital healthcare.

An Evaluation of Application Use in Outpatient Reservation at Bunda Thamrin RSU Medan

Hospitals need to implement a management system that is oriented towards patient satisfaction. The hospital has an outpatient registration system which aims to register patients and manage patient data for treatment until they are discharged from the hospital. This research is a qualitative descriptive study with research subjects or informants consisting of 7 informants including the head of the medical service installation, the person in charge of the medical record service and the online reservation officer. In this study data analysis was carried out by triangulating sources, techniques and time and continued with reduction. data, presenting data and drawing conclusions. The research results show that the planning process for using the application in outpatient reservations at Hospital Bunda Thamrin Medan has gone well, but the results are still not optimal, which can be seen from the number of registered patients and the number of patients taking the queue. In conclusion, the use of the application in outpatient reservations at Hospital Bunda Thamrin Medan has gone well. Keywords: Application use, Patient reservations, Outpatient care

Moving towards a successful medical-psycho-pedagogical centre: Analytical study of management aspects

Introduction. Today, the concept of management has become increasingly complex. Many medical-social organisations now help to understand this complexity, enabling managers to support executives throughout their medical-social work.Aim. The aim of the present research is to explore the correlations between managerial aspects in medico-social organisations in order to understand their links and identify avenues for improvement to increase operational efficiency and quality of care.Methodology and research methods. The authors employed a quantitative approach, based on a correlational study rather than an experimental one. The sample consisted of 100 Medical-Psycho-Pedagogical Centres (CMPP) in the Ile-de-France region, France. To collect the information, the directors of these centres were invited to fill in the questionnaire sent by the Google Forms platform, via the e-mail addresses of each centre. The results were processed with IBM SPSS 29.Results and scientific novelty. The results showed that there were statistically significant correlations between the managerial criteria of a high and significant percentage. There was a very high level of significance between the aspects “Structure and team management” and “Patient data management” (98%), and between the aspects “Quality and safety of care” and “Structure and team management” (91%). As for “Inter-professional cooperation” and “Quality and safety of care” aspects, this was significant at 70%. Finally, the aspects “Accessibility and continuity of care”, and “Continuing education” correlate significantly at 85%.In sum, the findings demonstrate that, out of the 22 correlations that were computed, 20 relationships are significant (i.e. 90.90% of the relationships), attesting to the superior management structure of French centres.Practical significance. The contribution of the present study consists in identifying the dimensions of managerial aspects described in the review of management literature. Of course, the purpose of this work is not to justify one style or to privilege one style over another, but to contribute to the explanation of the reality of the management of health, social and medico-social establishments and to take them as a system to be followed in the management of CMPPs in Morocco.

Challenges Meeting 21st Century Cures Act Patient Identity Interoperability and Information Blocking Rules.

Gather insights into healthcare organization (HCO) preparedness for new 21st Century Cures Act information blocking disincentives and challenges in achieving greater accuracy /interoperability of patient identity/data. Survey of 197 U.S. healthcare executives (54.7% response rate), included 46 health systems (23.4%), 141 hospitals (71.6%), and 10 payer organizations (5.1%), evaluated organizational gaps in patient identity data management/interoperability and preparation for information deblocking. Healthcare organizations are unprepared to meet information deblocking requirements and manage increased data influx/exchange. Although 61% have invested in meeting requirements, only 36% have capabilities in place. Majorities reported inability to comply with information blocking rules (59%), communicate electronic patient activity notifications to other organizations (56%), or share/receive patient-level information with patients and other HCOs (57%). Across 12 critical functionalities, 57% lacked key capabilities; 97% reported inadequate patient data/identity management/interoperability as data volume expands, adversely affecting care quality/safety and outcomes; and 57% envision patient data-matching errors precipitating a healthcare crisis in 5-10 years. Many HCOs are unprepared to meet new Cures Act information blocking requirements and resultant increase of internal/external patient data volumes. Next generation master data management, enterprise master patient index, and referential matching technologies can improve HCO patient identity and data management, and information interoperability.

Medical records information system based on prototyping model using automatic identifier NFC card

Radio Frequency Identification is a compact wireless technology that is superior and has been developed in the commercial and educational for example in automatic identification in the hospital patient registration. This research aims to improve patient registration services to be more practical during outpatient registration at hospitals. Currently, hospital outpatient registration is still carried out semi-computerized where patients come to the reception desk and then register by filling in a registration form. Next, the reception staff performs data entry from the registration form that has been filled in by the patient. If a lot of patients come, there will be a queue of patients because it takes quite a long time for the registration process. Based on the problems faced, this research carried out the development of a patient data management system using NFC cards which contain patient medical record number data. When a patient visits the hospital, the patient taps the medical record card and inputs the complaint and the doctor they are going to, then the patient gets a queue number for consultation, until the patient consults with a doctor and gets the medicine prescribed by the doctor through the use of the system. Testing the system by reading and writing data on the NFC card on the card reader/writer unit, the test results showed that the maximum reading distance for the NFC card was 7 cm with a reading angle relative to the NFC reader/writer with 300 can read the NFC card.

Concept and implementation of an adaptive digital hearing training system for cochlear implant aftercare

Within the context of an interdisciplinary research project, we created acutting-edge prototype of an adaptive digital auditory training system designed for cochlear implant (CI) users. By leveraging the evidence-centered design (ECD) framework, we integrated adynamic difficulty adjustment feature that tailors the experience to the unique performance capabilities of each individual user. The ECD provides aconceptual design framework suitable for complex assessments of competence and dynamic performance. In the first phase, the domain of hearing was first defined in the context of CI users. In the development phase the three core models of the ECD, the competence model, the evidence model, and the task model, were developed and implemented. In addition, an asset pool of sound and language files was created, which included comprehensive linguistic feature descriptions for calculating item difficulties. Based on the requirements described, an adaptive exercise generator, an AI service, and other components were implemented. This included the development of agame environment and adashboard for patient data management. The exercises' difficulty levels were determined based on various parameters (e.g., sound, word frequency and number of words, grammatical properties) in combination with defined task types and levels. An adaptive digital auditory training system can help to supervise and train CI patients in acontinuous, interactive process based on their individual needs. We see the ECD as an effective way to build auser-based adaptive system.

FAST Method to Design Web-Based Patient Registration System

Manual patient registration at the Polyclinic of Politeknik Negeri Jember (POLIJE) offers ineffectiveness in the patient services. Long waiting time and uninformed service hours at the polyclinic are two problems that need to solve. This study aimed to design a website-based registration system for the POLIJE Polyclinic. The researcher used the FAST (Framework for the Application of System Thinking) method. This method has detailed stages and is capable of producing more efficient, effective, accurate and timely data and information management. The application was built using PHP programming language with Laravel Framework. The registration system was implemented using RFId on patient cards to make the process of reading and registering patient data faster. The web-based registration system with RFId patient cards functions well with features: new patient registration, registration of patient visits with RFId cards, patient queues, verification of patients who register online, as well as patient, doctor and clinic data management.

Exploring the Role of SAP in Supporting Telemedicine Services, including Scheduling, Patient Data Management, and Billing 

Exploring the Role of SAP in Supporting Telemedicine Services, including Scheduling, Patient Data Management, and Billing 

Evaluating Practices, Overcoming Pitfalls, and Integrating Artificial Intelligence for Enhanced Quality in Advancing Ambulatory Care

BACKGROUND: For delivering health-care services in addressing preventive care, medical requirements of nonemergency, and the management of chronic diseases, ambulatory care is characterized outside of the hospital setting. The interest in artificial intelligence (AI) integration into ambulatory care settings has increased with the rise of technological advancements. However, by prompting the requirements for systemic assessment across different health-care systems, the AI implementation in ambulatory care is varied. OBJECTIVE: The aim of conducting this study is to investigate the current status of AI in the services of ambulatory care across five Asian countries such as Myanmar, Malaysia, China, Indonesia, and the Philippines. The implications for health-care delivery are discussed and the common challenges are identified during this study. MATERIALS AND METHODS: The descriptive research strategy was employed during this study, and within ambulatory care, the surveys targeting administrators, nurses, and doctors were utilized. For assessing the impact of AI implementation, statistical analysis including quantitative techniques and Likert scale ratings was conducted. The sample size can be validated and the respondents can be selected using the pilot study and purposive sampling. RESULTS: The significant variations in treatment protocols and health-care delivery models across surveyed countries were revealed by the obtained findings. The compromised health-care quality and accessibility issues were identified as a few of the challenges in ambulatory care services that are identified during the findings. For enhancing patient engagement, data management, and decision support, the AI integration into electronic health records was evaluated. DISCUSSION: For enhancing patient outcomes and health-care delivery, the understanding of variation significance in ambulatory care practices is emphasized by the respondents. As an essential aspect of different countries, collaboration among health-care professionals is highlighted. The challenges in ambulatory care services are addressed by system-level interventions. The implications of AI integration are discussed during this study along with its roles in enhancing cost reduction in ambulatory care settings. CONCLUSION: The significance of AI integration in enhancing patient outcomes across diverse health-care systems is underscored. The collaboration among stakeholders is fostered and the complex challenges are addressed by the successful implementation of AI.