%0 Journal Article %@ 2291-9694 %I JMIR Publications %V 12 %N %P e65281 %T Digital Solutions for Health Services and Systems Management: Narrative Review of Certified Software Features in the Brazilian Market %A Bellei,Ericles Andrei %A Domenighi,Pedro Rafael %A Freitas,Carla Maria Dal Sasso %A De Marchi,Ana Carolina Bertoletti %K health services administration %K health information management %K decision support systems %K digital health %K Brazil %K certified software %K features %K systems management %K health services %K interoperability %K digital solutions %D 2024 %7 29.11.2024 %9 %J JMIR Med Inform %G English %X The paper reviews digital solutions for health services management in Brazil, focusing on certified software features. It reveals the integration of various functionalities in operational, financial, and clinical needs simultaneously, which are critical for enhancing operational efficiency and patient care. This study highlights the integration of critical features like interoperability, compliance management, and data-driven decision support, although advancing innovation and integration remains essential for broader impact. %R 10.2196/65281 %U https://medinform.jmir.org/2024/1/e65281 %U https://doi.org/10.2196/65281 %0 Journal Article %@ 1929-073X %I JMIR Publications %V 13 %N %P e48259 %T Evolution of Digital Health and Exploration of Patented Technologies (2017-2021): Bibliometric Analysis %A Gu,Wenjun %A Wang,Jinhua %A Zhang,Yunqi %A Liang,Shaolin %A Ai,Zisheng %A Li,Jiyu %+ Geriatric Oncology Center, Huadong Hospital Affiliated to Fudan University, 221 West Yan'an Road, Jing'an District, Shanghai, 200040, China, 86 18918231588, lijiyu@fudan.edu.cn %K technology trends %K digital health %K patent %K bibliometric analysis %K CiteSpace5.1R8 %D 2024 %7 11.7.2024 %9 Original Paper %J Interact J Med Res %G English %X Background: The significant impact of digital health emerged prominently during the COVID-19 pandemic. Despite this, there is a paucity of bibliometric analyses focusing on technologies within the field of digital health patents. Patents offer a wealth of insights into technologies, commercial prospects, and competitive landscapes, often undisclosed in other publications. Given the rapid evolution of the digital health industry, safeguarding algorithms, software, and advanced surgical devices through patent systems is imperative. The patent system simultaneously acts as a valuable repository of technological knowledge, accessible to researchers. This accessibility facilitates the enhancement of existing technologies and the advancement of medical equipment, ultimately contributing to public health improvement and meeting public demands. Objective: The primary objective of this study is to gain a more profound understanding of technology hotspots and development trends within the field of digital health. Methods: Using a bibliometric analysis methodology, we assessed the global technological output reflected in patents on digital health published between 2017 and 2021. Using Citespace5.1R8 and Excel 2016, we conducted bibliometric visualization and comparative analyses of key metrics, including national contributions, institutional affiliations, inventor profiles, and technology topics. Results: A total of 15,763 digital health patents were identified as published between 2017 and 2021. The China National Intellectual Property Administration secured the top position with 7253 published patents, whereas Koninklijke Philips emerged as the leading institution with 329 patents. Notably, Assaf Govari emerged as the most prolific inventor. Technology hot spots encompassed categories such as “Medical Equipment and Information Systems,” “Image Analysis,” and “Electrical Diagnosis,” classified by Derwent Manual Code. A patent related to the technique of receiving and transmitting data through microchips garnered the highest citation, attributed to the patentee Covidien LP. Conclusions: The trajectory of digital health patents has been growing since 2017, primarily propelled by China, the United States, and Japan. Applications in health interventions and enhancements in surgical devices represent the predominant scenarios for digital health technology. Algorithms emerged as the pivotal technologies protected by patents, whereas techniques related to data transfer, storage, and exchange in the digital health domain are anticipated to be focal points in forthcoming basic research. %M 38991212 %R 10.2196/48259 %U https://www.i-jmr.org/2024/1/e48259 %U https://doi.org/10.2196/48259 %U http://www.ncbi.nlm.nih.gov/pubmed/38991212 %0 Journal Article %@ 1947-2579 %I JMIR Publications %V 11 %N 1 %P e9821 %T Roles of Health Literacy in Relation to Social Determinants of Health and Recommendations for Informatics-Based Interventions: Systematic Review %D 2019 %7 ..2019 %9 %J Online J Public Health Inform %G English %X ObjectiveThe objective of this presentation is to explore emerging technologies and how they will impact the public health field. New technologies such as blockchain, artificial intelligence (AI), and the Internet of Things (IoT) will likely be incorporated into epidemiological methods and processes. This presentation will provide an overview of these technologies and focus on how they may impact public health surveillance in the future.IntroductionWith the increase in the amount of public health data along with the growth of public health informatics, it is important for epidemiologists to understand the current trends in technology and the impact they may have in the field. Because it is unfeasible for public health professionals to be an expert in every emerging technology, this presentation seeks to provide them with a better understanding of how emerging technologies may impact the field and the level of expertise required to realize benefits from the new technologies. Furthermore, understanding the capabilities provided by emerging technologies may guide future training and continuing education for public health professionals.MethodsAnalysis of current capabilities and potential advances in emerging technologies such as blockchain, AI, and IoT were performed by reviewing articles and whitepapers. In addition to a literature review, interviews will be performed with public health experts to determine how the emerging technologies align with current practices and the extent to which they may solve existing public health surveillance challenges.ResultsThe literature review revealed many emerging technologies and potential applications in the public health field, including:BlockchainBlockchains can serve as electronic health information exchanges that hold the metadata and access information for patient electronic health records (EHRs).1 These systems can ensure data privacy protections while also facilitate relevant data sharing from EHRs to disease surveillance systems. Furthermore, blockchain technology can be used in food supply chain management systems. During food contamination events, epidemiologists can trace through the blockchain to identify possible sources of the contamination.2AIAI can be used to improve the prediction and detection capabilities of disease surveillance systems. Machine learning algorithms can reveal patterns in the data and enable faster anomaly detection. Furthermore, machine learning models can be trained on data to create predictive models.IoTUrban IoT systems can monitor environmental indices including water and air quality, energy consumption, waste management, and traffic congestion in smart cities.3 The data collected from such systems can be incorporated into more comprehensive disease surveillance systems and assist epidemiologists in better understanding populations and environmental risk factors.We will analyze and discuss such prospective applications with public health professionals to determine their potential impact on public health processes and practices in the next one, five, and ten years.ConclusionsBlockchain, AI, IoT and other emerging technologies have applications in public health surveillance and impact the field to varying degrees. In addition to technological advances, there will be barriers to adoption that must be overcome before the value provided by the technologies can be realized. Many new technologies will require significant collaboration between public health departments, healthcare providers, and other partners to successfully incorporate the technologies into epidemiological processes. These collaborations include forming consortiums to exchange data in a blockchain and working with IoT providers for data access. Some technologies will require public health professionals to obtain additional training before they can take full advantage of the capabilities provided, while other technologies may be implemented by external partners allowing epidemiologists to utilize the new capabilities without the need to completely understand the underlying concepts. As emerging technologies are introduced into the public health field, a strong understanding of their capabilities and suitable applications will allow public health professionals to fully capture the benefits provided by the new technologies.References1. Ekblaw A, Azaria A, Halamka JD, Lippman A. A Case Study for Blockchain in Healthcare:“MedRec” prototype for electronic health records and medical research data. InProceedings of IEEE open & big data conference 2016 Aug 22 (Vol. 13, p. 13).2. Yiannas F. A New Era of Food Transparency Powered by Blockchain. Innovations: Technology, Governance, Globalization. 2018 Jul;12(1-2):46-56.3. Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M. Internet of things for smart cities. IEEE Internet of Things Journal. 2014 Feb 14;1(1):22-32. %R 10.5210/ojphi.v11i1.9821 %U %U https://doi.org/10.5210/ojphi.v11i1.9821 %0 Journal Article %@ 1947-2579 %I JMIR Publications %V 5 %N 1 %P e4426 %T Roles of Health Literacy in Relation to Social Determinants of Health and Recommendations for Informatics-Based Interventions: Systematic Review %D 2013 %7 ..2013 %9 %J Online J Public Health Inform %G English %X The presentation describes the design and the main functionalities of the SurSaUD® software developed to support the data management and data analysis of the French syndromic surveillance system. %R 10.5210/ojphi.v5i1.4426 %U %U https://doi.org/10.5210/ojphi.v5i1.4426 %0 Journal Article %@ 1947-2579 %I JMIR Publications %V 5 %N 1 %P e4465 %T Roles of Health Literacy in Relation to Social Determinants of Health and Recommendations for Informatics-Based Interventions: Systematic Review %D 2013 %7 ..2013 %9 %J Online J Public Health Inform %G English %X There are several barriers prohibiting the sharing of public health applications, primarily driven by complexity and cost. This poster describes an approach which leverages grid technology for the epidemiological analyses of public health data. Through a virtual environment, users, particularly those unfamiliar with the application [R], can easily perform on-demand statistical analyses. As a proof of concept, an example of mortality-based analysis taken from the literature was reproduced using the grid version of R. Developing prototypes can provide insight on how a public health grid infrastructure could be developed as a dynamically evolving ecosystem of grid enabled applications. %R 10.5210/ojphi.v5i1.4465 %U %U https://doi.org/10.5210/ojphi.v5i1.4465 %0 Journal Article %@ 1947-2579 %I JMIR Publications %V 5 %N 1 %P e4497 %T Roles of Health Literacy in Relation to Social Determinants of Health and Recommendations for Informatics-Based Interventions: Systematic Review %D 2013 %7 ..2013 %9 %J Online J Public Health Inform %G English %X A large scale multiple statistical surveillance system for infectious disease outbreaks has been in operation in England and Wales for nearly two decades. This system uses a robust quasi-Poisson regression algorithm to identify aberrances in weekly counts of isolates reported to the Health Protection Agency. We review the performance of the system to reduce the number of false reports, while retaining good power to detect genuine outbreaks. Several improvements are suggested relating to the treatment of trends, seasonality, reweighting of baselines and error structure. The new system greatly reduces the numbers of alarms while maintaining good overall performance. %R 10.5210/ojphi.v5i1.4497 %U %U https://doi.org/10.5210/ojphi.v5i1.4497 %0 Journal Article %@ 1947-2579 %I JMIR Publications %V 4 %N 3 %P e4325 %T Roles of Health Literacy in Relation to Social Determinants of Health and Recommendations for Informatics-Based Interventions: Systematic Review %D 2012 %7 ..2012 %9 %J Online J Public Health Inform %G English %X As the use of certified electronic health record technology (CEHRT) has continued to gain prominence in hospitals and physician practices, public health agencies and health professionals have the ability to access health data through Health Information Exchanges (HIE). With such knowledge health providers are well positioned to positively affect population health, and enhance health status or quality-of-life outcomes in at-risk populations. Through big data analytics, predictive analytics and cloud computing, public health agencies have the opportunity to observe emerging public health threats in real-time and provide more effective interventions addressing health disparities in our communities. The Smarter Public Health Prevention System (SPHPS) provides real-time reporting of potential public health threats to public health leaders through the use of a simple and efficient dashboard and links people with needed personal health services through mobile platform for smartphones and tablets to promote and encourage healthy behaviors in our communities. The purpose of this paper is to evaluate how a secure virtual private cloud (VPC) solution could facilitate the implementation of the SPHPS in order to address public health disparities. %M 23569644 %R 10.5210/ojphi.v4i3.4325 %U %U https://doi.org/10.5210/ojphi.v4i3.4325 %U http://www.ncbi.nlm.nih.gov/pubmed/23569644