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1.
Washington; Organización Panamericana de la Salud; jun. 4, 2020. 13 p.
Não convencional em Espanhol | LILACS | ID: biblio-1099547

RESUMO

Las recomendaciones técnicas del presente documento tienen como objetivo orientar sobre la metodología para implementar las Células de Información y Coordinación Médica (CICOM) como función clave de los COE de salud para facilitar la toma de decisión en la expansión de capacidades a través del despliegue de equipos médicos de emergencia y la instalación de sitios alternativos de atención médica (SAAM) y en cooperación con las redes integrales de servicios de salud y los sistemas de atención prehospitalaria.


Assuntos
Pneumonia Viral/prevenção & controle , Infecções por Coronavirus/prevenção & controle , Pandemias/prevenção & controle , Tomada de Decisão Clínica/métodos , Betacoronavirus , Pessoal de Saúde/organização & administração , Gestão da Informação em Saúde/organização & administração , Administração Hospitalar/métodos
2.
Recurso na Internet em Português | LIS - Localizador de Informação em Saúde | ID: lis-LISBR1.1-47473

RESUMO

O objetivo da Rede de Especialistas e Pesquisas é apresentar a rede de colaboração existente entre pesquisadores e sua respectiva produção científica sobre os temas Coronavírus, Síndrome Aguda Respiratória e COVID-19. Os resultados aqui apresentados foram obtidos por meio do mapeamento na plataforma Lattes das pesquisas científicas que continham termos específicos relacionados aos temas Coronavírus, Síndrome Aguda Respiratória e COVID-19, identificando-se seus respectivos autores/pesquisadores. A plataforma Rede de Especialistas e Pesquisas sobre os temas Coronavírus, Síndrome Aguda Respiratória e COVID-19, desenvolvida pelo Instituto Brasileiro de Informação em Ciência e Tecnologia (IBICT) e pela Fundação Oswaldo Cruz (Fiocruz), com a curadoria do Dr. Fábio Gouveia, foi gerada a partir do uso da ferramenta ScriptLattes, desenvolvida pelos doutores Jesús P. Mena-Chalco e Roberto M. Cesar-Jr, da Universidade Federal do ABC e da Universidade de São Paulo, respectivamente.


Assuntos
Betacoronavirus , Infecções por Coronavirus/prevenção & controle , Pneumonia Viral/prevenção & controle , Pandemias/estatística & dados numéricos , Gestão da Informação em Saúde/organização & administração
3.
Artigo em Inglês | MEDLINE | ID: mdl-32397199

RESUMO

Since the first known case of a COVID-19 infected patient in Wuhan, China on 8 December 2019, COVID-19 has spread to more than 200 countries, causing a worldwide public health crisis. The existing literature fails to examine what caused this sudden outbreak from a crisis management perspective. This article attempts to fill this research gap through analysis of big data, officially released information and other social media sources to understand the root cause of the crisis as it relates to China's current management system and public health policy. The article draws the following conclusions: firstly, strict government control over information was the main reason for the early silencing of media announcements, which directly caused most people to be unprepared and unaware of COVID-19. Secondly, a choice between addressing a virus with an unknown magnitude and nature, and mitigating known public panic during a politically and culturally sensitive time, lead to falsehood and concealment. Thirdly, the weak autonomous management power of local public health management departments is not conducive for providing a timely response to the crisis. Finally, the privatization of many state-owned hospitals led to the unavailability of public health medical resources to serve affected patients in the Wuhan and Hubei Province. This article suggests that China should adopt a Singaporean-style public health crisis information management system to ensure information disclosure and information symmetry and should use it to monitor public health crises in real time. In addition, the central government should adopt the territorial administration model of a public health crisis and increase investment in public health in China.


Assuntos
Infecções por Coronavirus/epidemiologia , Gestão da Informação em Saúde/organização & administração , Pandemias , Pneumonia Viral/epidemiologia , Política , Administração em Saúde Pública , Betacoronavirus , China/epidemiologia , Surtos de Doenças , Conhecimentos, Atitudes e Prática em Saúde , Humanos , Saúde Pública , Política Pública , Mídias Sociais
5.
PLoS One ; 14(12): e0226015, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31830124

RESUMO

INTRODUCTION: The digitalization of medicine has led to a considerable growth of heterogeneous health datasets, which could improve healthcare research if integrated into the clinical life cycle. This process requires, amongst other things, the harmonization of these datasets, which is a prerequisite to improve their quality, re-usability and interoperability. However, there is a wide range of factors that either hinder or favor the harmonized collection, sharing and linkage of health data. OBJECTIVE: This systematic review aims to identify barriers and facilitators to health data harmonization-including data sharing and linkage-by a comparative analysis of studies from Denmark and Switzerland. METHODS: Publications from PubMed, Web of Science, EMBASE and CINAHL involving cross-institutional or cross-border collection, sharing or linkage of health data from Denmark or Switzerland were searched to identify the reported barriers and facilitators to data harmonization. RESULTS: Of the 345 projects included, 240 were single-country and 105 were multinational studies. Regarding national projects, a Swiss study reported on average more barriers and facilitators than a Danish study. Barriers and facilitators of a technical nature were most frequently reported. CONCLUSION: This systematic review gathered evidence from Denmark and Switzerland on barriers and facilitators concerning data harmonization, sharing and linkage. Barriers and facilitators were strictly interrelated with the national context where projects were carried out. Structural changes, such as legislation implemented at the national level, were mirrored in the projects. This underlines the impact of national strategies in the field of health data. Our findings also suggest that more openness and clarity in the reporting of both barriers and facilitators to data harmonization constitute a key element to promote the successful management of new projects using health data and the implementation of proper policies in this field. Our study findings are thus meaningful beyond these two countries.


Assuntos
Barreiras de Comunicação , Coleta de Dados , Gestão da Informação em Saúde , Disseminação de Informação , Armazenamento e Recuperação da Informação , Atitude do Pessoal de Saúde , Coleta de Dados/métodos , Coleta de Dados/normas , Dinamarca/epidemiologia , Registros Eletrônicos de Saúde/organização & administração , Registros Eletrônicos de Saúde/normas , Gestão da Informação em Saúde/métodos , Gestão da Informação em Saúde/organização & administração , Gestão da Informação em Saúde/normas , Gestão da Informação em Saúde/estatística & dados numéricos , Humanos , Disseminação de Informação/métodos , Armazenamento e Recuperação da Informação/normas , Armazenamento e Recuperação da Informação/estatística & dados numéricos , Informática Médica/organização & administração , Informática Médica/normas , Informática Médica/tendências , Publicações/normas , Publicações/estatística & dados numéricos , Pesquisa Qualitativa , Padrões de Referência , Suíça/epidemiologia
6.
Diabetes Care ; 42(6): 1136-1146, 2019 06.
Artigo em Inglês | MEDLINE | ID: mdl-31666233

RESUMO

Technological progress in the past half century has greatly increased our ability to collect, store, and transmit vast quantities of information, giving rise to the term "big data." This term refers to very large data sets that can be analyzed to identify patterns, trends, and associations. In medicine-including diabetes care and research-big data come from three main sources: electronic medical records (EMRs), surveys and registries, and randomized controlled trials (RCTs). These systems have evolved in different ways, each with strengths and limitations. EMRs continuously accumulate information about patients and make it readily accessible but are limited by missing data or data that are not quality assured. Because EMRs vary in structure and management, comparisons of data between health systems may be difficult. Registries and surveys provide data that are consistently collected and representative of broad populations but are limited in scope and may be updated only intermittently. RCT databases excel in the specificity, completeness, and accuracy of their data, but rarely include a fully representative sample of the general population. Also, they are costly to build and seldom maintained after a trial's end. To consider these issues, and the challenges and opportunities they present, the editors of Diabetes Care convened a group of experts in management of diabetes-related data on 21 June 2018, in conjunction with the American Diabetes Association's 78th Scientific Sessions in Orlando, FL. This article summarizes the discussion and conclusions of that forum, offering a vision of benefits that might be realized from prospectively designed and unified data-management systems to support the collective needs of clinical, surveillance, and research activities related to diabetes.


Assuntos
Big Data , Pesquisa Biomédica/métodos , Diabetes Mellitus/terapia , Registros Eletrônicos de Saúde/organização & administração , Gestão da Informação em Saúde , Assistência à Saúde/organização & administração , Assistência à Saúde/normas , Diabetes Mellitus/etiologia , Registros Eletrônicos de Saúde/normas , Endocrinologistas/organização & administração , Endocrinologistas/normas , Endocrinologistas/tendências , Prova Pericial , Gestão da Informação em Saúde/métodos , Gestão da Informação em Saúde/organização & administração , Gestão da Informação em Saúde/normas , Humanos
8.
Med Teach ; 41(4): 385-390, 2019 04.
Artigo em Inglês | MEDLINE | ID: mdl-30973801

RESUMO

Advances in technology make it possible to supplement in-person teaching activities with digital learning, use electronic records in patient care, and communicate through social media. This relatively new "digital learning environment" has changed how medical trainees learn, participate in patient care, are assessed, and provide feedback. Communication has changed with the use of digital health records, the evolution of interdisciplinary and interprofessional communication, and the emergence of social media. Learning has evolved with the proliferation of online tools such as apps, blogs, podcasts, and wikis, and the formation of virtual communities. Assessment of learners has progressed due to the increasing amounts of data being collected and analyzed. Digital technologies have also enhanced learning in resource-poor environments by making resources and expertise more accessible. While digital technology offers benefits to learners, the teachers, and health care systems, there are concerns regarding the ownership, privacy, safety, and management of patient and learner data. We highlight selected themes in the domains of digital communication, digital learning resources, and digital assessment and close by providing practical recommendations for the integration of digital technology into education, with the aim of maximizing its benefits while reducing risks.


Assuntos
Comunicação , Educação Médica/organização & administração , Meio Ambiente , Sistemas de Informação/organização & administração , Aprendizagem , Competência Clínica/normas , Segurança Computacional/normas , Educação Médica/normas , Gestão da Informação em Saúde/organização & administração , Humanos , Internet , Meio Social , Mídias Sociais/organização & administração
9.
Perspect Health Inf Manag ; 16(Spring): 1a, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31019429

RESUMO

The time and costs associated with the sequencing of a human genome have decreased significantly in recent years. Many people have chosen to have their genomes sequenced to receive genomics-based personalized healthcare services. To reach the goal of genomics-based precision medicine, health information management (HIM) professionals need to manage and analyze patients' genomic data. Two important pieces of information from the genome sequence are the risk of genetic diseases and the specific medication or pharmacogenomic results for the individual patient, both of which are linked to a patient's genetic variations. In this review article, we introduce genetic variations, including their data types, relevant databases, and some currently available analysis methods and systems. HIM professionals can choose to use these databases, methods, and systems in the management and analysis of patients' genomic data.


Assuntos
Bases de Dados de Ácidos Nucleicos/organização & administração , Variação Genética , Genoma Humano/genética , Gestão da Informação em Saúde/organização & administração , Medicina de Precisão/métodos , Gestão da Informação em Saúde/normas , Humanos , Farmacogenética/organização & administração , Fenótipo , Ferramenta de Busca/métodos , Estados Unidos
11.
Perspect Health Inf Manag ; 16(Winter): 1b, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30766453

RESUMO

Coronary catheterization is the gold standard for diagnosis and treatment of cardiovascular conditions. The development of a catheterization and percutaneous coronary intervention (CathPCI) registry considering key steps of data management has a pivotal role in coronary catheterization because it could help improve CathPCI approaches, develop equipment and devices, and minimize complications of the CathPCI procedure. Data management comprises data gathering, data processing, and information distribution. Data gathering involves the collection of data elements, including demographics, episode of care, history and relevant risk factors, visits to the catheterization laboratory, diagnosis of cardiac catheterization, estimation of the coronary arterial anatomy, percutaneous coronary intervention procedures, lesions, devices, outcomes, and discharge. Data processing is performed with respect to the number of procedures performed in different circumstances, the outcomes of the performed procedures, improvement in the healthcare approach, development of devices and equipment, and the quality of the performed procedures. Information distribution involves the sharing of information and making information accessible to researchers and clinicians, relevant health care managers, and manufacturers of medical devices and equipment. This study reviewed relevant English-language publications regarding cardiac catheterization registries, data collection, data processing, and information distribution, regardless of the date of publication.


Assuntos
Cateterismo Cardíaco/métodos , Doenças Cardiovasculares/cirurgia , Gestão da Informação em Saúde/organização & administração , Intervenção Coronária Percutânea/métodos , Sistema de Registros/estatística & dados numéricos , Algoritmos , Cateterismo Cardíaco/estatística & dados numéricos , Doenças Cardiovasculares/diagnóstico , Coleta de Dados/métodos , Gestão da Informação em Saúde/normas , Humanos , Intervenção Coronária Percutânea/estatística & dados numéricos , Procedimentos Cirúrgicos Robóticos/métodos , Procedimentos Cirúrgicos Robóticos/estatística & dados numéricos
12.
Perspect Health Inf Manag ; 16(Winter): 1d, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30766455

RESUMO

The future of clinical documentation improvement (CDI) will require expanding the reach of CDI programs into new areas of expertise because the traditional realms of CDI work are increasingly becoming automated. CDI-based research and analytics can serve as a means for demonstrating continued value to an institution. We present four studies as examples of these efforts. We explored the use of claims data to determine whether a clinical condition meets the criteria for a secondary diagnosis and to evaluate whether a clinical problem should be elevated to the status of a comorbid or complicating condition. We demonstrated a way in which CDI professionals can evaluate the impacts of changes in clinical definitions, and we explored how CDI can work with other institutional programs to decrease length of stay. We believe that these models may serve as a springboard within institutions and among the larger CDI community to make research and analytics a foundation of future CDI activities.


Assuntos
Documentação/métodos , Registros Eletrônicos de Saúde/organização & administração , Gestão da Informação em Saúde/organização & administração , Melhoria de Qualidade/organização & administração , Pesquisa/organização & administração , Confiabilidade dos Dados , Documentação/normas , Registros Eletrônicos de Saúde/normas , Troca de Informação em Saúde/normas , Gestão da Informação em Saúde/normas , Humanos , Revisão da Utilização de Seguros/estatística & dados numéricos , Tempo de Internação/economia , Tempo de Internação/estatística & dados numéricos , Obesidade Mórbida/diagnóstico , Obesidade Mórbida/terapia , Melhoria de Qualidade/normas , Pesquisa/normas
13.
J Med Syst ; 43(2): 37, 2019 Jan 08.
Artigo em Inglês | MEDLINE | ID: mdl-30623258

RESUMO

With the development of Internet and the make use of Internet for medical information, the demand for huge scale and reliable managing medical information has brought out the huge scale Internet data centers. This work that has been presented here highlights the structural lay out and formulation of the medical information model. The aim of presenting this to aid medical departments as well as workers to exchange information and integrate available resources that help facilitate the analysis to be conducted on the given information. Software here comprises of medical information and offers a comprehensive service structure that benefits medical data centers. VNM or Virtual Network Mapping (VNM) essentially relates to substrate network that involves the installation and structuring of on demand virtual machines. These however are subjective to certain limitations that are applicable in relation to latency, capacity as well as bandwidth. Data centers need to dynamically handle cloud workloads effectively and efficiently. Simultaneously, since the mapping of virtual and physical networks with several providers' consumes more time along with energy. In order to resolve this issue, VNM has been mapped by making use of Graph Theory (GT) matching, a well-studied database topic. (i) Brain Storm Optimization Graph Theory (BSOGT) is introduced for modeling a virtual network request in the form of a GT with different resource constraints, and the substrate networks here is considered being a graph. For this graph the nodes and edges comprise of attributes that indicate their constraints. (ii) The algorithm that has been recently introduced executes graph decomposition into several topology patterns. Thereafter the BSOGT is executed to solve any issues that pertain to mapping. (iii) The model that has been presented here, ERVNM and the BSOGT are used with a specific mapping energy computation function.(iv) Issues pertaining to these are categorized as being those related to virtual network mapping as the ACGT and optimal solution are drawn by using effective integer linear programming. ACGT, pragmatic approach, as well as the precise and two-stage algorithms performance is evaluated by means of cloud Simulator environment. The results obtained from simulation indicate that the BSOGT algorithm attains the objectives of cloud service providers with respect to Acceptance ratio, mapping percentage, processing time as well as Convergence Time.


Assuntos
Algoritmos , Computação em Nuvem , Gestão da Informação em Saúde/organização & administração , Troca de Informação em Saúde , Humanos , Armazenamento e Recuperação da Informação , Interface Usuário-Computador
14.
Acad Med ; 94(1): 37-41, 2019 01.
Artigo em Inglês | MEDLINE | ID: mdl-30095453

RESUMO

Health care is increasingly data driven. Concurrently, there are concerns that health professionals lack the time and training to guide patients through the growing medical "data jungle." In the age of big data, ever wider domains of people's lives are "datafied," which renders ever more information-at least in principle-usable for health care purposes. Turning data into meaningful information for clinical practice-and deciding what data or information should not be used for this purpose-requires a significant amount of time, resources, and skill. The authors argue that academic medicine should lead the way in navigating the use of complex, highly personal data in clinical practice. To make data actionable for both clinicians and patients, the authors propose that the best way to navigate the interface between patients and providers in the era of data-rich medicine would be the creation of a new profession entirely: health information counselors (HICs). HICs would have broad knowledge of various kinds of health data and data quality evaluation techniques, as well as analytic skills in statistics and data interpretation. Trained also in interpersonal communication, health management, insurance systems, and medico-legal aspects of data privacy, HICs would know enough about clinical medicine to advise on the relevance of any kind of data for prevention, diagnosis, and treatment. The creation of this new specialty would help patients and health care professionals to make more informed choices about how increasing amounts of health data and information can or should inform health care.


Assuntos
Big Data , Escolha da Profissão , Conselheiros/organização & administração , Mineração de Dados/métodos , Gestão da Informação em Saúde/organização & administração , Adulto , Feminino , Humanos , Masculino , Pessoa de Meia-Idade
15.
BMJ Health Care Inform ; 26(1)2019 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-31892529

RESUMO

BACKGROUND: Long-term complications and high costs of cerebral palsy (CP) as well as inconsistency in data related to this disease reveal the need for extensive planning to obtain accurate and complete data for the effective management of patients. OBJECTIVE: The present study reviews the information architecture of CP information system. METHOD: The relevant articles published from early 1988 to 31 July 2018 were extracted through searching PubMed, Scopus, Cochran, Web of Science and Embase databases conducted independently by two researchers. RESULTS: A total of 39 articles on CP information system were reviewed. Hospitals, rehabilitation centres and outpatient clinics were found to be the main organisations in charge of generating CP data. Each CP database used several data sources, with hospitals serving as the most important sources of information and the main generators of data. The main CP datasets were categorised into four groups of demographic data, diagnosis, motor function and visual impairment. The majority of data standards were related to the use of the International Classification of Functioning, Disability and Health and the Gross Motor Function Classification System. Finally, accuracy, completeness and consistency were the criteria employed in data quality control. CONCLUSION: Developing a robust CP information system requires deploying the principles of information architecture when developing the system, as these can improve data structure and content of CP system, as well as data quality and data sharing.


Assuntos
Paralisia Cerebral , Registros Eletrônicos de Saúde/organização & administração , Gestão da Informação em Saúde/organização & administração , Sistema de Registros , Humanos
16.
Public Health Res Pract ; 28(3)2018 Sep 27.
Artigo em Inglês | MEDLINE | ID: mdl-30406261

RESUMO

INTRODUCTION: Childhood obesity prevalence is an issue of international public health concern and governments have a significant role to play in its reduction. The Healthy Children Initiative (HCI) has been delivered in New South Wales (NSW), Australia, since 2011 to support implementation of childhood obesity prevention programs at scale. Consequently, a system to support local implementation and data collection, analysis and reporting at local and state levels was necessary. The Population Health Information Management System (PHIMS) was developed to meet this need. Design and development: A collaborative and iterative process was applied to the design and development of the system. The process comprised identifying technical requirements, building system infrastructure, delivering training, deploying the system and implementing quality measures. Use of PHIMS: Implementation of PHIMS resulted in rapid data retrieval and reporting against agreed performance measures for the HCI. The system has 150 users who account for the monitoring and reporting of more than 6000 HCI intervention sites (early childhood services and primary schools). LESSONS LEARNT: Developing and implementing PHIMS presented a number of complexities including: applying an information technology (IT) development methodology to a traditional health promotion setting; data access and confidentiality issues; and managing system development and deployment to intended timelines and budget. PHIMS was successfully codesigned as a flexible, scalable and sustainable IT solution that supports state-wide HCI program implementation, monitoring and reporting.


Assuntos
Gestão da Informação em Saúde/organização & administração , Promoção da Saúde/métodos , Obesidade Pediátrica/prevenção & controle , Criança , Comportamento Cooperativo , Política de Saúde , Humanos , New South Wales/epidemiologia , Obesidade Pediátrica/epidemiologia , Prevalência , Desenvolvimento de Programas , Avaliação de Programas e Projetos de Saúde
17.
J Med Syst ; 43(1): 7, 2018 Nov 28.
Artigo em Inglês | MEDLINE | ID: mdl-30488291

RESUMO

While the healthcare industry is undergoing disruptive digital transformation, data breaches involving health information are not usually the result of integration of new technologies. Based on published industry reports, fundamental security safeguards are still considered to be lacking with many documented data breaches occurring as the result of device and equipment theft, human error, hacking, ransomware attacks and misuse. Health information is considered to be one of the most attractive targets for cybercriminals due to its inherent sensitivity, but digital investigations of incidents involving health information are often constrained by the lack of the necessary infrastructure forensic readiness. Following the analysis of healthcare data breach causes and threats, we describe the associated digital forensic readiness challenges in the context of the most significant incident causes. With specific focus on privilege misuse, we present a conceptual architecture for forensic audit logging to assist with capture of the relevant digital artefacts in support of possible future digital investigations.


Assuntos
Segurança Computacional/normas , Ciências Forenses/organização & administração , Gestão da Informação em Saúde/organização & administração , Confidencialidade/legislação & jurisprudência , Registros Eletrônicos de Saúde/organização & administração , Ciências Forenses/normas , Gestão da Informação em Saúde/legislação & jurisprudência , Gestão da Informação em Saúde/normas , Humanos
18.
Pan Afr Med J ; 29: 61, 2018.
Artigo em Francês | MEDLINE | ID: mdl-29875942

RESUMO

Introduction: This study aimed to evaluate the performance of the logistics management system (LMS) of malaria control (MC) resources in the Littoral Department, Benin, in 2017. Methods: In June 2017, we conducted a cross-sectional evaluative study focusing on the structures for the storage and the disposal of MC resources as well as on staff involved in their management. The performance of the the logistics management system was evaluated on the basis of the observed compliance of the components and sub-components of the "Structure", the "Process" and the "Results" with the norms and standards defined by the Ministry of Health. Results: A total of 36 structures were investigated and secondary target was surveyed. It followed that 52,78% of the structures for the storage and the disposal of MC resources met the requirements for resources storage while only 33.33% of MC resources management staff were trained in logistics management. The performance of the logistics management system of MC resources was inadequate (compliance 59,13 % compared to the expected score). The structure, as well as the process were non-compliant with the standards ( 60,20% and 73.22% compared to the expected score respectively), leading to negative results (41.53% compared to the expected score). The most inadequate sub-component was the logistics management information system (LMIS). Conclusion: This study highlights the role of LMS for better performance of MC resources management. Particular attention should be given to this component.


Assuntos
Gestão da Informação em Saúde/organização & administração , Recursos em Saúde/organização & administração , Malária/prevenção & controle , Benin , Estudos Transversais , Humanos
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