Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 14.842
Filtrar
2.
Stud Health Technol Inform ; 298: 46-50, 2022 Aug 31.
Artigo em Inglês | MEDLINE | ID: mdl-36073454

RESUMO

The digital healthcare workforce is usually composed of two major types of professionals: the healthcare workers, who are the users of eHealth, and the health informatics developers, who are usually computer scientists, biomedical engineers, or other technical experts. Health informatics educators have the responsibility to develop the appropriate skills for both, acting within their specific curricula. Here we present the experience of the Italian Society of Biomedical Informatics (SIBIM) and show that, whereas the technical curricula are widely covered with a large range of topics, the eHealth education in medical curricula is often limited to simple bioengineering and informatics skills, thus suggesting that eHealth associations and organizations at the national level should focus their efforts towards increasing the level of eHealth contents in medical schools.


Assuntos
Informática Médica , Telemedicina , Pessoal de Saúde/educação , Humanos , Itália , Informática Médica/educação , Recursos Humanos
3.
Stud Health Technol Inform ; 298: 66-72, 2022 Aug 31.
Artigo em Inglês | MEDLINE | ID: mdl-36073458

RESUMO

For Medical Informatics graduates, there is no compatibility between the training knowledge and skills at universities and the job requirements. This study aimed to determine the skills and competencies requirements for medical informatics graduates and possible job positions in an emerging discipline. This qualitative study was conducted using a questionnaire developed by the researchers. Nine independent medical informatics professionals assessed the initial draft of this tool to determine its face and content validity, and reliability. The questionnaire was distributed among 80 medical informaticians with a doctorate or a master's degree. In this study, items with an average of 4 and higher were confirmed; out of the 78 items, 66 were approved. The highest number of unapproved items was related to managerial knowledge and skills. Research knowledge, training skills, individual skills, technical capacities, specific skills in the health industry, and managerial skills are the main areas that graduates must learn. This survey can help develop a curriculum and job descriptions for medical informatics.


Assuntos
Informática Médica , Currículo , Informática Médica/educação , Competência Profissional , Pesquisa Qualitativa , Reprodutibilidade dos Testes
4.
Stud Health Technol Inform ; 298: 97-101, 2022 Aug 31.
Artigo em Inglês | MEDLINE | ID: mdl-36073464

RESUMO

Issues of non-use of available health information technology (HIT) have been referred to as the 'last mile problem' impeding harnessing the full potential of HIT. We reflect upon which competencies are needed to address the last mile problem by ensuring a context-sensitive implementation. We argue that there is a need for context-sensitive digital integrators, who can navigate the realm where technological systems meet practice. This entails a situated, socio-technical, context-sensitive approach and competencies which are not easily addressed through formal training but require lifelong situated learning, as the field evolves continuously. Our ambition is to highlight the complexities of implementation and integration into local practice. This paper emphasizes the role of digital integrators in the hope of fostering further discussions on how to acknowledge and nourish these competencies in order to address and go beyond the last mile problem.


Assuntos
Informática Médica , Tecnologia
5.
Stud Health Technol Inform ; 296: 41-49, 2022 Aug 17.
Artigo em Inglês | MEDLINE | ID: mdl-36073487

RESUMO

The integration of routine medical care data into research endeavors promises great value. However, access to this extra-domain data is constrained by numerous technical and legal requirements. The German Medical Informatics Initiative (MII) - initiated by the Federal Ministry of Research and Education (BMBF) - is making progress in setting up Medical Data Integration Centers to consolidate data stored in clinical primary information systems. Unfortunately, for many research questions cross-organizational data sources are required, as one organization's data is insufficient, especially in rare disease research. A first step, for research projects exploring possible multi-centric study designs, is to perform a feasibility query, i.e., a cohort size calculation transcending organizational boundaries. Existing solutions for this problem, like the previously introduced feasibility process for the MII's HiGHmed consortium, perform well for most use cases. However, there exist use cases where neither centralized data repositories, nor Trusted Third Parties are acceptable for data aggregation. Based on open standards, such as BPMN 2.0 and HL7 FHIR R4, as well as the cryptographic techniques of secure Multi-Party Computation, we introduce a fully automated, decentral feasibility query process without any central component or Trusted Third Party. The open source implementation of the proposed solution is intended as a plugin process to the HiGHmed Data Sharing Framework. The process's concept and underlying algorithms can also be used independently.


Assuntos
Informática Médica , Estudos de Viabilidade , Humanos
6.
BMC Geriatr ; 22(1): 733, 2022 09 06.
Artigo em Inglês | MEDLINE | ID: mdl-36068502

RESUMO

BACKGROUND: The number of older adults with physical multi-morbidity is increasing. As Internet-based eHealth and mHealth increasingly require patients to use technology, it is important to examine the use of Internet/health information technology (HIT) among older adults with physical multi-morbidity. Here we examine the distribution of physical multi-morbidity, Internet use, and HIT use, and further explored the factors associated with Internet use and HIT use among older adults with physical multi-morbidity. METHODS: One wave of data from the 2018 US National Health Interview Survey (NHIS) was analysed. We included respondents aged 65 years and older. We used 13 physical non-communicable diseases to measure physical multi-morbidity. Descriptive statistics and logistic regression models, with sociodemographic factors, health status, health insurance, health care service use, and satisfaction with health care as covariates, were used to examine the research questions. RESULTS: Of 72,746 respondents in NHIS, 7060 were eligible for our analysis. 5380 (76.2%) eligible respondents had physical multi-morbidity in this study. Overall, 60% of older adults reported using the Internet, with 38.9% using eHealth services (defined as looking up health information online, filling a prescription, scheduling an appointment with a health care provider, or communicating with a health care provider via email). Gender, age, marital status, region, race, education, and family income were significant factors associated with the Internet and HIT use among people with multi-morbidity. The study also showed that after adjusting for confounders, good health status, having Medicare, receiving home care from a health professional, and low satisfaction with health care were positive predictors of the Internet and HIT use. CONCLUSIONS: In summary, our study found that Internet and HIT use among older patients with chronic diseases is far from the Healthy People 2030 target. Internet and HIT use vary depending on a number of sociodemographic factors. Relevant influencing factors should be fully considered in health education interventions promoted.


Assuntos
Uso da Internet , Informática Médica , Idoso , Humanos , Internet , Medicare , Multimorbidade , Inquéritos e Questionários , Estados Unidos/epidemiologia
7.
Stud Health Technol Inform ; 298: 19-23, 2022 Aug 31.
Artigo em Inglês | MEDLINE | ID: mdl-36073449

RESUMO

The aim of this paper is to present the use of Medical Informatics Multilingual Ontology (MIMO) to index digital health resources that are (and will be) included in SaNuRN (project to teach digital health). MIMO currently contains 1,379 concepts and is integrated into HeTOP, which is a cross-lingual multiterminogy server. Existing teaching resources have been reindexed with MIMO concepts and integrated into a dedicated website. A total of 345 resources have been indexed with MIMO concepts and are freely available at https://doccismef.chu-rouen.fr/dc/#env=sanurn. The development of a multilingual MIMO for enhancing the quality and the efficiency of international projects is challenging. A specific semantic search engine has been deployed to give access to digital health teaching resources.


Assuntos
Informática Médica , Multilinguismo , Ferramenta de Busca , Semântica
8.
Comput Math Methods Med ; 2022: 8434966, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36081435

RESUMO

In the farming industry, the Internet of Things (IoT) is crucial for boosting utility. Innovative agriculture practices and medical informatics have the potential to increase crop yield while using the same amount of input. Individuals can benefit from the Internet of Things in various ways. The intelligent farms require the creation of an IoT-based infrastructure based on sensors, actuators, embedded systems, and a network connection. The agriculture sector will gain new advantages from machine learning and IoT data analytics in terms of improving crop output quantity and quality to fulfill rising food demand. This paper described an intelligent medical informatics farming system with predictive data analytics on sensing parameters, utilizing a supervised machine learning approach in an intelligent agricultural system. The four essential components of the proposed approach are the cloud layer, fog layer, edge layer, and sensor layer. The primary goal is to enhance production and provide organic farming by adjusting farming conditions as per plant needs that are considered in experimentation. The use of machine learning on acquired sensor data from a prototype embedded model is investigated for regulating the actuators in the system. Then, an analytics and decision-making system was built at the fog layer, employing two supervised machine learning approaches including classification and regression algorithms using a support vector machine (SVM) and artificial neural network (ANN) for effective computation over the cloud layer. The experimental results are evaluated and analyzed in MATLAB software, and it is found that the classification accuracy using SVM is much better as compared to ANN and other state of art methods.


Assuntos
Ciência de Dados , Fazendas/tendências , Aprendizado de Máquina/normas , Informática Médica , Algoritmos , Fazendas/estatística & dados numéricos , Humanos , Aprendizado de Máquina/tendências , Máquina de Vetores de Suporte
10.
Annu Int Conf IEEE Eng Med Biol Soc ; 2022: 4687-4690, 2022 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-36085809

RESUMO

Shriners Children's (SHC) is a hospital system whose mission is to advance the treatment and research of pediatric diseases. SHC success has generated a wealth of clinical data. Unfortunately, barriers to healthcare data access often limit data-driven clinical research. We decreased this burden by allowing access to clinical data via the standardized data access standard called FHIR (Fast Healthcare Interoperability Resources). Specifically, we converted existing data in the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) standard into FHIR data elements using a technology called OMOP-on-FHIR. In addition, we developed two applications leveraging the FHIR data elements to facilitate patient cohort curation to advance research into pediatric musculoskeletal diseases. Our work enables clinicians and clinical researchers to use hundreds of currently available open-sourced FHIR applications. Our successful implementation of OMOP-on-FHIR within a large hospital system will accelerate advancements in pediatric disease treatment and research.


Assuntos
Informática Médica , Doenças Musculoesqueléticas , Criança , Instalações de Saúde , Hospitais , Humanos , Tecnologia
12.
J Med Internet Res ; 24(9): e40547, 2022 Sep 28.
Artigo em Inglês | MEDLINE | ID: mdl-36169995

RESUMO

Scholars from the health and medical sciences have recently proposed the term social informatics (SI) as a new scientific subfield of health informatics (HI). However, SI is not a new academic concept; in fact, it has been continuously used in the social sciences and informatics since the 1970s. Although the dominant understanding of SI was established in the 1990s in the United States, a rich international perspective on SI has existed since the 1970s in other regions of the world. When that perspective is considered, the fields of understanding can be structured into 7 SI schools of thought. Against that conceptual background, this paper contributes to the discussion on the relationship between SI and HI, outlining possible perspectives of SI that are associated with health, medical, and clinical aspects. This paper argues against the multiplication and inconsistent appearance of the term SI when newly used in health and medical sciences. A more explicit name for the area that uses health and social data to advance individual and population health might be helpful to overcome this issue; giving an identity to this new field would help it to be understood more precisely and bring greater separation. This labeling could be fruitful for further segmentation of HI, which is rapidly expanding.


Assuntos
Informática Médica , Humanos , Internacionalidade , Estados Unidos
13.
Appl Clin Inform ; 13(3): 752-766, 2022 05.
Artigo em Inglês | MEDLINE | ID: mdl-35952679

RESUMO

BACKGROUND: Chronic disease is the leading cause of mortality in the United States. Health information technology (HIT) tools show promise for improving disease management. OBJECTIVES: This study aims to understand the following: (1) how self-perceptions of health compare between those with and without disease; (2) how HIT usage varies between chronic disease profiles (diabetes, hypertension, cardiovascular disease, pulmonary disease, depression, cancer, and comorbidities); (3) how HIT trends have changed in the past 6 years; and (4) the likelihood that a given chronic disease patient uses specific HIT tools. METHODS: The Health Information National Trends Survey (HINTS) inclusive of 2014 to 2020 served as the primary data source with statistical analysis completed using Stata. Bivariate analyses and two-tailed t-tests were conducted to compare self-perceived health and HIT usage to chronic disease. Logistic regression models were created to examine the odds of a specific patient using various forms of HIT, controlling for demographics and comorbidities. RESULTS: Logistic regression models controlling for sociodemographic factors and comorbidities showed that pulmonary disease, depression, and cancer patients had an increased likelihood of using HIT tools, for example, depression patients had an 81.1% increased likelihood of looking up health information (p < 0.0001). In contrast, diabetic, high blood pressure, and cardiovascular disease patients appeared to use HIT tools at similar rates to patients without chronic disease. Overall HIT usage has increased during the timeframe examined. CONCLUSION: This study demonstrates that certain chronic disease cohorts appear to have greater HIT usage than others. Further analysis should be done to understand what factors influence patients to utilize HIT which may provide additional insights into improving design and user experience for other populations with the goal of improving management of disease. Such analyses could also establish a new baseline to account for differences in HIT usage as a direct consequence of the novel coronavirus disease 2019 (COVID-19) pandemic.


Assuntos
COVID-19 , Doenças Cardiovasculares , Informática Médica , Doenças Cardiovasculares/epidemiologia , Doença Crônica , Humanos , Inquéritos e Questionários , Estados Unidos
14.
J Patient Saf ; 18(5): 377-381, 2022 08 01.
Artigo em Inglês | MEDLINE | ID: mdl-35948287

RESUMO

OBJECTIVES: Wrong-patient errors are common and have the potential to cause serious harm. The Office of the National Coordinator for Health Information Technology Patient Identification SAFER Guide recommends displaying patient photographs in electronic health record (EHR) systems to facilitate patient identification and reduce wrong-patient errors. A potential barrier to implementation is patient refusal; however, patients' perceptions about having their photograph captured during registration and integrated into the EHR are unknown. METHODS: The study was conducted in an emergency department (ED) and primary care outpatient clinic within a large integrated health system in New York City. The study consisted of 2 components: (1) direct observation of the registration process to quantify the frequency of patient refusals and (2) semistructured interviews to elicit patients' feedback on perceived benefits and barriers to integrating their photograph into the EHR. RESULTS: Of 172 registrations where patients were asked to take a photograph for patient identification, 0 refusals were observed (ED, 0 of 87; primary care outpatient clinic, 0 of 85). A convenience sample of 30 patients were interviewed (female, 70%; age ≥55 years, 43%; Hispanic/Latino, 67%; Black, 23%). Perceived benefits of integrating patient photographs into the EHR included improved security (40%), improved patient identification (23%), and ease of registration (17%). A small proportion of patients raised privacy concerns. CONCLUSIONS: Patient refusal was not found to be a barrier to implementation of patient photographs in the EHR. Efforts to identify and address other potential barriers would help ensure that the highest proportion of patients has photographs in their medical record.


Assuntos
Registros Eletrônicos de Saúde , Informática Médica , Serviço Hospitalar de Emergência , Feminino , Humanos , Pessoa de Meia-Idade , Cidade de Nova Iorque , Pacientes Ambulatoriais
15.
J Med Syst ; 46(10): 65, 2022 Aug 30.
Artigo em Inglês | MEDLINE | ID: mdl-36040523

RESUMO

Asthma in childhood is a common and costly chronic disease. Quality asthma care can lead to better control of asthma thus decreasing use of health services. The gold standard for pediatric asthma diagnosis and management is the National Heart, Lung and Blood Institute (NHLBI) guidelines for Diagnosis and Management of Asthma which center on precisely establishing the severity of asthma, as this precise classification delineates appropriate therapy. However, navigating these guidelines is a challenge for primary care providers that creates a barrier to providing quality care. We aim to improve precision in asthma severity classification in the community healthcare setting through the development of an electronic asthma decision support tool (eADST) incorporating NHLBI guidelines embedded within the electronic health record system. We developed an algorithm for the eADST to guide the health care provider to the appropriate classification and subsequent therapy. We engaged our health system's electronic health record informatics team and together developed and revised the tool. We launched the tool in three academic community clinics and measured precision in asthma classification in the twelve months prior to the availability of the tool and the twelve months following the launch. We found a significant improvement in precision of asthma severity classification following the launch, a necessary first step in improvement of asthma care. The next step will be to evaluate the impact of the tool on asthma outcomes.


Assuntos
Asma , Informática Médica , Asma/diagnóstico , Asma/terapia , Criança , Registros Eletrônicos de Saúde , Humanos
16.
Perspect Health Inf Manag ; 19(3): 1b, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36035327

RESUMO

This study identifies the type, distribution, and interactions of US hospitals that identify as electronic-data-driven, patient-centric, and learning-focused. Such facilities, termed Health Information Interested (HII) hospitals in this study, meet the defining criteria for one or more of the following designations: learning health systems (LHS), Health Information Technology for Economic and Clinical Health (HITECH) meaningful use stage three compliant (MU3), Patient-Centered Outcomes Research Institute (PCORI) funded, or medical home/safety net (MH/SN) hospital. The American Hospital Association (AHA) IT supplemental survey and other supporting data spanning 2013 to 2018 were used to identify HII hospitals. HII hospitals increased from 19.9 percent to 62.4 percent of AHA reporting hospitals from 2013 to 2018. HII subcategories in 2018 such as the full LHS (37.2 percent) and MU3 (46.9 percent) were dominant, with 33.2 percent having both designations. This indicates increased interest in patient-centric, learning-focused care using electronic health data. This information can enable health information management (HIM) professionals to be aware of programs or approaches that can facilitate learning-focused, patient-centric care using electronic health data within health systems.


Assuntos
Sistema de Aprendizagem em Saúde , Informática Médica , Registros Eletrônicos de Saúde , Hospitais , Humanos , Uso Significativo , Estados Unidos
17.
Urologie ; 61(7): 722-727, 2022 Jul.
Artigo em Alemão | MEDLINE | ID: mdl-35925243

RESUMO

When we think of medical research, one intuitively associates it with the analysis of study data collected for a specific research question or with the secondary use of patient data from routine care. However, these are not the only sources for answering scientific questions. Especially for translational research, tissue and liquid samples such as blood, DNA or other body fluids provide essential insights into disease pathogenesis, development of new therapies and treatment decisions. Access to these biomedical materials is provided by so-called biobanks. By collecting, characterizing, documenting and, if necessary, processing human biospecimens in accordance with high quality standards, they can support research of the causes of diseases, early diagnosis and the targeted treatment of diseases, or make a significant contribution to the investigation of common diseases.


Assuntos
Pesquisa Biomédica , Informática Médica , Bancos de Espécimes Biológicos , Humanos , Pesquisa Translacional Biomédica
19.
Med Ref Serv Q ; 41(3): 338-346, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35980630

RESUMO

This column reviews publications in this column from 2019 through 2022. It identifies key themes and provides resources for informatics instructors.


Assuntos
Informática Médica
20.
Int J Med Inform ; 166: 104840, 2022 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-35964384

RESUMO

BACKGROUND: The development of nursing informatics started late in China. There is an urgent need to develop a clinical practice model that can guide nursing managers in constructing an organizational nursing informatics competency. OBJECTIVE: The objective of this study was to develop a nursing organizational informatics competency model based on the Professional Practice Model (PPM) and to provide a reference for training in clinical nursing informatics in hospitals. METHODS: A multidisciplinary team in the hospital was first formed as the working group, consisting of nurses trained with the TIGER (Technology Informatics Guiding Education Reform) Taiwan model and had practical experience in system development. We used an exploration map to help build the prototype of the hospital nursing informatics competency model. Then, a final model was constructed by experienced out-of-hospital experts using the Delphi method. The final model was determined according to the validity analysis. RESULTS: Ten hospital stakeholders were invited to form the multidisciplinary working team to develop the prototype organizational PPM model. Two rounds of Delphi were conducted to twelve experienced nurses' informatics experts outside the hospital by e-mail. The results showed that the questionnaire return rate was 100 %, the expert authority coefficient was 0.84, the general validity of the two rounds of content was 92.46 % and 100 %, respectively, and the coefficient of variation of all items was < 0.3. The final model included five categories, including management strategy and leadership, organizational structure and operation, improvement of the environment for nursing information practice, cultivation of core competence in nursing information, and project management of the nursing information system, with 61 elements in total. CONCLUSIONS: We propose this model to help hospital nursing managers to establish a plan of action to build up organizational clinical informatics competency.


Assuntos
Informática Médica , Informática em Enfermagem , Competência Clínica , Humanos , Liderança , Informática Médica/educação , Prática Profissional
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...