Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 20 de 1.533
Filter
1.
IEEE J Biomed Health Inform ; 26(4): 1422-1431, 2022 Apr.
Article in English | MEDLINE | ID: mdl-35349461

ABSTRACT

Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. Timely, accurate and complete death reporting is critical for public health, especially during the COVID-19 pandemic, as institutions and government agencies rely on death reports to formulate responses to communicable diseases. Unfortunately, determining the causes of death is challenging even for experienced physicians. The novel coronavirus and its variants may further complicate the task, as physicians and experts are still investigating COVID-related complications. To assist physicians in accurately reporting causes of death, an advanced Artificial Intelligence (AI) approach is presented to determine a chronically ordered sequence of conditions that lead to death (named as the causal sequence of death), based on decedent's last hospital discharge record. The key design is to learn the causal relationship among clinical codes and to identify death-related conditions. There exist three challenges: different clinical coding systems, medical domain knowledge constraint, and data interoperability. First, we apply neural machine translation models with various attention mechanisms to generate sequences of causes of death. We use the BLEU (BiLingual Evaluation Understudy) score with three accuracy metrics to evaluate the quality of generated sequences. Second, we incorporate expert-verified medical domain knowledge as constraints when generating the causal sequences of death. Lastly, we develop a Fast Healthcare Interoperability Resources (FHIR) interface that demonstrates the usability of this work in clinical practice. Our results match the state-of-art reporting and can assist physicians and experts in public health crisis such as the COVID-19 pandemic.


Subject(s)
Artificial Intelligence , COVID-19 , Humans , Pandemics , Public Health , Public Health Informatics , United States
2.
BMC Public Health ; 22(1): 272, 2022 02 10.
Article in English | MEDLINE | ID: mdl-35144575

ABSTRACT

BACKGROUND: Early threat detection and situational awareness are vital to achieving a comprehensive and accurate view of health-related events for federal, state, and local health agencies. Key to this are public health and syndromic surveillance systems that can analyze large data sets to discover patterns, trends, and correlations of public health significance. In 2020, Department of Veterans Affairs (VA) evaluated its public health surveillance system and identified areas for improvement. METHODS: Using the Centers for Disease Control and Prevention (CDC) Guidelines for Evaluating Public Health Surveillance Systems, we assessed the ability of the Praedico Surveillance System to perform public health surveillance for a variety of health issues and evaluated its performance compared to an enterprise data solution (VA Corporate Data Warehouse), legacy surveillance system (VA ESSENCE) and a national, collaborative syndromic surveillance platform (CDC NSSP BioSense). RESULTS: Review of system attributes found that the system was simple, flexible, and stable. Representativeness, timeliness, sensitivity, and Predictive Value Positive were acceptable but could be further improved. Data quality issues and acceptability present challenges that potentially affect the overall usefulness of the system. CONCLUSIONS: Praedico is a customizable surveillance and data analytics platform built on big data technologies. Functionality is straightforward, with rapid query generation and runtimes. Data can be graphed, mapped, analyzed, and shared with key decision makers and stakeholders. Evaluation findings suggest that future development and system enhancements should focus on addressing Praedico data quality issues and improving user acceptability. Because Praedico is designed to handle big data queries and work with data from a variety of sources, it could be enlisted as a tool for interdepartmental and interagency collaboration and public health data sharing. We suggest that future system evaluations include measurements of value and effectiveness along with additional organizations and functional assessments.


Subject(s)
Public Health Surveillance , Veterans , Centers for Disease Control and Prevention, U.S. , Humans , Population Surveillance , Public Health Informatics , Sentinel Surveillance , United States
6.
J Public Health Manag Pract ; 28(2): 109-115, 2022.
Article in English | MEDLINE | ID: mdl-32496404

ABSTRACT

CONTEXT: Syndromic surveillance consists of the systematic collection and use of near real-time data about health-related events for situational awareness and public health action. As syndromic surveillance programs continue to adopt new technologies and expand, it is valuable to evaluate these syndromic surveillance systems and practices to ensure that they meet public health needs. OBJECTIVE: This assessment's aim is to provide recent information about syndromic surveillance systems and practice characteristics among a group of state and local health departments. DESIGN/SETTING: Information was obtained between November 2017 and June 2018 through a telephone survey using an Office of Management and Budget-approved standardized data collection tool. Participants were syndromic surveillance staff from each of 31 state and local health departments participating in the National Syndromic Surveillance Program funded by the Centers for Disease Control and Prevention. Questions included jurisdictional experience, data sources and analysis systems used, syndromic system data processing characteristics, data quality verification procedures, and surveillance activities conducted with syndromic data. MEASURES: Practice-specific information such as types of systems and data sources used for syndromic surveillance, data quality monitoring, and uses of data for public health situational awareness (eg, investigating occurrences of or trends in diseases). RESULTS: The survey analysis revealed a wide range of experiences with syndromic surveillance. Participants reported the receipt of data daily or more frequently. Emergency department data were the primary data source; however, other data sources are being integrated into these systems. All health departments routinely monitored data quality. Syndromes of highest priority across the respondents for health events monitoring were influenza-like illness and drug-related syndromes. However, a wide variety of syndromes were reported as priorities across the health departments. CONCLUSION: Overall, syndromic surveillance was relevantly integrated into the public health surveillance infrastructure. The near real-time nature of the data and its flexibility to monitor different types of health-related issues make it especially useful for public health practitioners. Despite these advances, syndromic surveillance capacity, locally and nationally, must continue to evolve and progress should be monitored to ensure that syndromic surveillance systems and data are optimally able to meet jurisdictional needs.


Subject(s)
Public Health Informatics , Sentinel Surveillance , Centers for Disease Control and Prevention, U.S. , Humans , Population Surveillance , Public Health Administration , Public Health Surveillance , United States
7.
J Public Health Manag Pract ; 28(2): E533-E541, 2022.
Article in English | MEDLINE | ID: mdl-34081672

ABSTRACT

CONTEXT: Despite the increased recognition of the importance of having informatics-competent public health professionals, the competency level of the public health workforce in public health informatics (PHI) has not been examined extensively in the literature. OBJECTIVE: The purpose of this study was to assess public health workforce informatics competencies in select Georgia health districts and determine the correlates of PHI proficiency. METHODS: This study is based on a cross-sectional quantitative study design. We conducted an online self-administered survey of employees from 3 selected district health departments to assess proficiency in foundational PHI competency domains. Three hundred thirty-three respondents completed the survey, with a response rate of 32.5%. A gap score was calculated as a proxy to identify informatics training needs. A path analysis was conducted to assess the relationships among contextual factors and foundational PHI competency domains. RESULTS: The public health employees participating in this study reported relatively high proficiency in foundational PHI competency. Psychometric testing of the competency assessment instrument revealed 2 foundational informatics competency domains-effective information technology (IT) use and effective use of information. The effective use of IT mediated the relationship between employee-level factors of age and past informatics training and the effective use of information. CONCLUSION: The study highlights the importance of improving the ability of public health professionals to leverage IT and information to advance population health. Periodic assessment of staff PHI competencies can help proactively identify competency gaps and address needs for additional training. Short assessment tools, such as presented in this study, can be validated and used for such assessments.


Subject(s)
Health Workforce , Public Health Informatics , Cross-Sectional Studies , Georgia , Humans , Professional Competence , Public Health , Workforce
8.
Article in Portuguese | Coleciona SUS, LILACS, Coleciona SUS, CONASS, SES-GO | ID: biblio-1358947

ABSTRACT

Introdução: A área de Tecnologia da Informação da Secretaria de Estado da Saúde de Goiás com o intuito de desenvolver soluções tecnológicas para apoio à tomada de decisão iniciou em 2010 o projeto na área de Business Intelligence que engloba, dentre outras ações, a construção de um data warehouse que agrega dados dos sistemas transacionais em conjunto com a elaboração de painéis de monitoramento que permitem uma visão integrada do todo para subsidiar a alta gestão e áreas técnicas da Secretaria de Estado da Saúde de Goiás (SES-GO), garantindo assim, decisões mais assertivas e a elaboração de políticas públicas mais pertinentes e fundamentadas. Este projeto evoluiu e atualmente as áreas de Ciência de Dados e Big Data também compõem área de analytics da SES-GO. Objetivo: o principal objetivo deste artigo é apresentar a plataforma FLINK que foi desenvolvida vislumbrando a democratização de dados e indicadores de saúde da Secretaria de Estado da Saúde de Goiás e compartilhar o processo de construção e implantação da mesma. Metodologia: Trata-se de um estudo de abordagem qualitativa, do tipo relato de experiência, no qual os autores relatam a construção e funcionalidades da plataforma FLINK. Considerações finais: A plataforma FLINK representa a efetivação da transparência da gestão pública no estado de Goiás em dados de saúde. A versatilidade e a flexibilidade do mesmo possibilita a melhoria das ações de saúde e beneficia todos os usuários do SUS


Introduction: The servers in the Business Intelligence (BI) area of the State Department of Health of Goiás, in order to develop technological solutions to support decision-making, started in 2010 to build a data warehouse that would aggregate data from traditional systems, and of monitoring panels, allowing a more integrated view of the whole, to support the senior management and technical areas of State Department of Health of Goiás (SES-GO), thus ensuring more assertive decisions and the development of more relevant and grounded public policies. Objective: The main objective of this article is to present the flink plataform that was developed with a view to the democratization of data and health status indicators of the Goiás state health department and to share the process of construction and implementation of the same. Method: This is a study with a qualitative approach, of the experience report type, in which the authors report the construction and functionalities of the FLINK plataform. Final considerations: FLINK represents the effectiveness of transparency in public management in the state of Goiás. Its versatility and flexibility enables the improvement of health actions and benefits all SUS users


Subject(s)
Humans , Artificial Intelligence , Public Health Informatics , Health Status Indicators
9.
Comput Math Methods Med ; 2021: 2689000, 2021.
Article in English | MEDLINE | ID: mdl-34925538

ABSTRACT

We have studied one of the most common distributions, namely, Lindley distribution, which is an important continuous mixed distribution with great ability to represent different systems. We studied this distribution with three parameters because of its high flexibility in modelling life data. The parameters were estimated by five different methods, namely, maximum likelihood estimation, ordinary least squares, weighted least squares, maximum product of spacing, and Cramér-von Mises. Simulation experiments were performed with different sample sizes and different parameter values. The different methods were compared on the generated data by mean square error and mean absolute error. In addition, we compared the methods for real data, which represent COVID-19 data in Iraq/Anbar Province.


Subject(s)
COVID-19/epidemiology , Public Health Informatics/methods , Algorithms , Computer Simulation , Humans , Iraq , Least-Squares Analysis , Likelihood Functions , Models, Statistical , Public Health Informatics/standards , SARS-CoV-2 , Statistics as Topic
10.
Rev. cuba. inform. méd ; 13(2): e461, 2021. graf
Article in Spanish | LILACS, CUMED | ID: biblio-1357284

ABSTRACT

Introducción: El desarrollo tecnológico actual incide de manera especial en el sector de la salud originando cambios en la actuación de sus profesionales, en particular la actividad de enfermería es un espacio donde la disponibilidad de recursos tecnológicos aporta precisión, dinamismo e inmediatez, que facilitan análisis asertivos y toma de decisiones para con el paciente, a favor de la mejora en su calidad de vida. El profesional de enfermería requiere de conocimientos y habilidades durante su formación que le faciliten su inserción en el espacio laboral en correspondencia con la realidad actual. Objetivo: Describir la apreciación de los estudiantes de Enfermería del Programa de Rediseño de la Universidad Estatal de Bolívar con respecto al beneficio que les proporciona el estudio de la disciplina Informática. Método: Estudio transversal con carácter exploratorio y descriptivo, se aplica encuesta estructurada. Resultados: Se identifica como muy beneficioso el estudio de las materias informáticas como parte de su formación profesional, así como por su aplicación en la atención primaria de salud. Conclusiones: Los estudiantes tienen la percepción de que las materias informáticas estudiadas son de relevancia como parte de su formación, y de que estas influyen en su desempeño profesional futuro(AU)


Introduction: The current technological development has a special impact on the health sector, causing changes in the performance of its professionals; the nursing activity is in particular a space where the availability of technological resources provides precision, dynamism, and immediacy that facilitate analysis assertiveness and decision-making with the patient, in favor of improving their quality of life. The nursing professional requires knowledge and skills during their training that facilitate their insertion into the workplace in accordance with the current reality. Objective: To describe the appreciation of nursing students of the Bolívar State University Redesign Program regarding the benefit provided by the study of the Informatics discipline. Method: Cross-sectional study with an exploratory and descriptive nature, a structured survey is applied. Results: The study of computer science subjects as part of their professional training is identified as very beneficial, as well as for their application in primary health care. Conclusions: Students have the perception that the computer science subjects studied are relevant as part of their training, and that they influence their future professional performance(AU)


Subject(s)
Humans , Male , Female , Medical Informatics Applications , Public Health Informatics/education , Education, Nursing , Epidemiology, Descriptive , Cross-Sectional Studies , Ecuador
11.
Multimedia | Multimedia Resources | ID: multimedia-9483

ABSTRACT

A Estratégia de Saúde Digital é uma ambição factível e inspiracional que busca nortear e alinhar as diversas atividades e projetos públicos e privados, potencializando o poder de transformação da saúde digital no Brasil.


Subject(s)
Public Health Informatics/organization & administration , Telemedicine , Ordinances , COVID-19/diagnosis , Health Information Systems
12.
Multimedia | Multimedia Resources | ID: multimedia-9484

ABSTRACT

A implementação da Rede Nacional de Dados em Saúde (RNDS) iniciou-se em junho de 2019 com os objetivos de oferecer benefícios de melhoria da assistência à saúde, a partir do acesso às informações e continuidade do cuidado nos níveis de atenção, de permitir eficiência na gestão dos recursos públicos e de impulsionar a Inovação na Saúde. Em março de 2020, a abrangência e o escopo do projeto da RNDS foram direcionados ao enfrentamento da COVID-19, para o fortalecimento da resposta do sistema de saúde, monitoramento e gestão da saúde populacional, oferta de soluções para engajamento ativo do usuário no controle da epidemia e processamento do esperado número de casos da doença. Desde as primeiras ações de planejamento, governança, definição de arquitetura e de regras negociais, o DATASUS se prepara para manter a RNDS em conformidade com a Lei Geral de Proteção de Dados (LGPD), com previsão de entrada em vigor para 3 de maio de 2021, conforme Medida Provisória n° 959, de 29 de abril de 2020.


Subject(s)
Health Information Systems/standards , Public Health Informatics/organization & administration , Confidentiality/legislation & jurisprudence , Patient Generated Health Data/legislation & jurisprudence , Public Health Informatics/standards
13.
Multimedia | Multimedia Resources | ID: multimedia-9485

ABSTRACT

Iniciativas do Ministério da Saúde no contexto da estratégia de saúde digital. A estratégia de Saúde Digital para o Brasil trata-se do uso de recursos de Tecnologia de Informação e Comunicação(TIC) para produzir e disponibilizar informações confiáveis, sobre o estado de saúde para quem precisa no momento que precisa!


Subject(s)
Public Health Informatics/organization & administration , eHealth Strategies , Electronic Health Records , Health Information Systems
14.
Multimedia | Multimedia Resources | ID: multimedia-9486

ABSTRACT

Brasil será referência mundial na implementação da estratégia de saúde digital ao promover a troca de informações entre os pontos da Rede de Atenção à Saúde, permitindo a transição e continuidade do cuidado nos setores público e privado.


Subject(s)
eHealth Strategies , Health Information Systems/organization & administration , Public Health Informatics/economics , Health Information Exchange
15.
Multimedia | Multimedia Resources | ID: multimedia-9487

ABSTRACT

Apresentar o CONECTE SUS e a possibilidade de interoperabilidade entre laboratórios e estabelecimentos de saúde por meio da RNDS para disponibilizar os resultados de exames de COVID-19.


Subject(s)
Public Health Laboratory Services , Health Information Exchange , Public Health Informatics , COVID-19/diagnosis
16.
Multimedia | Multimedia Resources | ID: multimedia-9489

ABSTRACT

Início do Planejamento na Estratégia de Saúde Digital 2020-2028, Programa Conecte SUS e a Rede Nacional de Dados em Saúde. Acompanhamento do Tributal de Contas da União - Fortalecimento e revisão dos instrumentos de Governança em Saúde Digital - PNIIS.


Subject(s)
eHealth Strategies , Public Health Informatics/standards , Health Information Systems/legislation & jurisprudence , Ordinances ,
17.
Multimedia | Multimedia Resources | ID: multimedia-9490

ABSTRACT

O objetivo da RNDS é promover a troca de informações entre os pontos da Rede de Atenção à Saúde, permitindo a transição e continuidade do cuidado nos setores público e privado.


Subject(s)
Public Health Informatics , eHealth Strategies , Health Information Systems , Telemedicine
18.
Multimedia | Multimedia Resources | ID: multimedia-9491

ABSTRACT

Ampliação do acesso à informação em saúde visando a continuidade do cuidado em todos os níveis de atenção à saúde, de forma a qualificar o atendimento e o fluxo de informações, fortalecendo o apoio a decisão clínica, a vigilância em saúde, a regulação, a gestão, o ensino e a pesquisa.


Subject(s)
Telemedicine , eHealth Strategies , Health Information Systems/organization & administration , Public Health Informatics , Health Information Exchange
19.
Multimedia | Multimedia Resources | ID: multimedia-9492
20.
Multimedia | Multimedia Resources | ID: multimedia-9493

ABSTRACT

Infográfico de acesso a RNDS via Portal de serviços.


Subject(s)
Public Health Informatics , Internet Access
SELECTION OF CITATIONS
SEARCH DETAIL
...