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1.
Article in English | MEDLINE | ID: mdl-39325492

ABSTRACT

OBJECTIVE: We proposed adopting billing models for secure messaging (SM) telehealth services that move beyond time-based metrics, focusing on the complexity and clinical expertise involved in patient care. MATERIALS AND METHODS: We trained 8 classification machine learning (ML) models using providers' electronic health record (EHR) audit log data for patient-initiated non-urgent messages. Mixed effect modeling (MEM) analyzed significance. RESULTS: Accuracy and area under the receiver operating characteristics curve scores generally exceeded 0.85, demonstrating robust performance. MEM showed that knowledge domains significantly influenced SM billing, explaining nearly 40% of the variance. DISCUSSION: This study demonstrates that ML models using EHR audit log data can improve and predict billing in SM telehealth services, supporting billing models that reflect clinical complexity and expertise rather than time-based metrics. CONCLUSION: Our research highlights the need for SM billing models beyond time-based metrics, using EHR audit log data to capture the true value of clinical work.

2.
Learn Health Syst ; 8(1): e10404, 2024 Jan.
Article in English | MEDLINE | ID: mdl-38249841

ABSTRACT

Introduction: Research driven by real-world clinical data is increasingly vital to enabling learning health systems, but integrating such data from across disparate health systems is challenging. As part of the NCATS National COVID Cohort Collaborative (N3C), the N3C Data Enclave was established as a centralized repository of deidentified and harmonized COVID-19 patient data from institutions across the US. However, making this data most useful for research requires linking it with information such as mortality data, images, and viral variants. The objective of this project was to establish privacy-preserving record linkage (PPRL) methods to ensure that patient-level EHR data remains secure and private when governance-approved linkages with other datasets occur. Methods: Separate agreements and approval processes govern N3C data contribution and data access. The Linkage Honest Broker (LHB), an independent neutral party (the Regenstrief Institute), ensures data linkages are robust and secure by adding an extra layer of separation between protected health information and clinical data. The LHB's PPRL methods (including algorithms, processes, and governance) match patient records using "deidentified tokens," which are hashed combinations of identifier fields that define a match across data repositories without using patients' clear-text identifiers. Results: These methods enable three linkage functions: Deduplication, Linking Multiple Datasets, and Cohort Discovery. To date, two external repositories have been cross-linked. As of March 1, 2023, 43 sites have signed the LHB Agreement; 35 sites have sent tokens generated for 9 528 998 patients. In this initial cohort, the LHB identified 135 037 matches and 68 596 duplicates. Conclusion: This large-scale linkage study using deidentified datasets of varying characteristics established secure methods for protecting the privacy of N3C patient data when linked for research purposes. This technology has potential for use with registries for other diseases and conditions.

5.
J Am Med Inform Assoc ; 28(7): 1363-1373, 2021 07 14.
Article in English | MEDLINE | ID: mdl-33480419

ABSTRACT

OBJECTIVE: We sought to support public health surveillance and response to coronavirus disease 2019 (COVID-19) through rapid development and implementation of novel visualization applications for data amalgamated across sectors. MATERIALS AND METHODS: We developed and implemented population-level dashboards that collate information on individuals tested for and infected with COVID-19, in partnership with state and local public health agencies as well as health systems. The dashboards are deployed on top of a statewide health information exchange. One dashboard enables authorized users working in public health agencies to surveil populations in detail, and a public version provides higher-level situational awareness to inform ongoing pandemic response efforts in communities. RESULTS: Both dashboards have proved useful informatics resources. For example, the private dashboard enabled detection of a local community outbreak associated with a meat packing plant. The public dashboard provides recent trend analysis to track disease spread and community-level hospitalizations. Combined, the tools were utilized 133 637 times by 74 317 distinct users between June 21 and August 22, 2020. The tools are frequently cited by journalists and featured on social media. DISCUSSION: Capitalizing on a statewide health information exchange, in partnership with health system and public health leaders, Regenstrief biomedical informatics experts rapidly developed and deployed informatics tools to support surveillance and response to COVID-19. CONCLUSIONS: The application of public health informatics methods and tools in Indiana holds promise for other states and nations. Yet, development of infrastructure and partnerships will require effort and investment after the current pandemic in preparation for the next public health emergency.


Subject(s)
COVID-19/epidemiology , Data Visualization , Public Health Informatics , Public Health Surveillance/methods , Health Information Exchange , Humans , Indiana/epidemiology , United States
6.
Respir Res ; 20(1): 115, 2019 Jun 10.
Article in English | MEDLINE | ID: mdl-31182091

ABSTRACT

BACKGROUND: Single birth cohort studies have been the basis for many discoveries about early life risk factors for childhood asthma but are limited in scope by sample size and characteristics of the local environment and population. The Children's Respiratory and Environmental Workgroup (CREW) was established to integrate multiple established asthma birth cohorts and to investigate asthma phenotypes and associated causal pathways (endotypes), focusing on how they are influenced by interactions between genetics, lifestyle, and environmental exposures during the prenatal period and early childhood. METHODS AND RESULTS: CREW is funded by the NIH Environmental influences on Child Health Outcomes (ECHO) program, and consists of 12 individual cohorts and three additional scientific centers. The CREW study population is diverse in terms of race, ethnicity, geographical distribution, and year of recruitment. We hypothesize that there are phenotypes in childhood asthma that differ based on clinical characteristics and underlying molecular mechanisms. Furthermore, we propose that asthma endotypes and their defining biomarkers can be identified based on personal and early life environmental risk factors. CREW has three phases: 1) to pool and harmonize existing data from each cohort, 2) to collect new data using standardized procedures, and 3) to enroll new families during the prenatal period to supplement and enrich extant data and enable unified systems approaches for identifying asthma phenotypes and endotypes. CONCLUSIONS: The overall goal of CREW program is to develop a better understanding of how early life environmental exposures and host factors interact to promote the development of specific asthma endotypes.


Subject(s)
Asthma/diagnosis , Asthma/epidemiology , Environmental Exposure/analysis , Life Style , Population Surveillance/methods , Adolescent , Asthma/genetics , Child , Child, Preschool , Cohort Studies , Environmental Exposure/prevention & control , Female , Humans , Infant , Male , Young Adult
7.
J Clin Transl Sci ; 2(5): 267-275, 2018 Oct.
Article in English | MEDLINE | ID: mdl-30828467

ABSTRACT

A robust biomedical informatics infrastructure is essential for academic health centers engaged in translational research. There are no templates for what such an infrastructure encompasses or how it is funded. An informatics workgroup within the Clinical and Translational Science Awards network conducted an analysis to identify the scope, governance, and funding of this infrastructure. After we identified the essential components of an informatics infrastructure, we surveyed informatics leaders at network institutions about the governance and sustainability of the different components. Results from 42 survey respondents showed significant variations in governance and sustainability; however, some trends also emerged. Core informatics components such as electronic data capture systems, electronic health records data repositories, and related tools had mixed models of funding including, fee-for-service, extramural grants, and institutional support. Several key components such as regulatory systems (e.g., electronic Institutional Review Board [IRB] systems, grants, and contracts), security systems, data warehouses, and clinical trials management systems were overwhelmingly supported as institutional infrastructure. The findings highlighted in this report are worth noting for academic health centers and funding agencies involved in planning current and future informatics infrastructure, which provides the foundation for a robust, data-driven clinical and translational research program.

8.
Appl Clin Inform ; 8(3): 845-853, 2017 Aug 16.
Article in English | MEDLINE | ID: mdl-28832068

ABSTRACT

BACKGROUND: The role of the Chief Research Informatics Officer (CRIO) is emerging in academic health centers to address the challenges clinical researchers face in the increasingly digitalized, data-intensive healthcare system. Most current CRIOs are the first officers in their institutions to hold that role. To date there is very little published information about this role and the individuals who serve it. OBJECTIVE: To increase our understanding of the CRIO role, the leaders who serve it, and the factors associated with their success in their organizations. METHODS: The Clinical Research Informatics Working Group of the American Medical Informatics Association (AMIA) conducted a national survey of CRIOs in the United States and convened an expert panel of CRIOs to discuss their experience during the 2016 AMIA Annual Symposium. RESULTS: CRIOs come from diverse academic backgrounds. Most have advance training and extensive experience in biomedical informatics but the majority have been CRIOs for less than three years. CRIOs identify funding, data governance, and advancing data analytics as their major challenges. CONCLUSION: CRIOs play an important role in helping shape the future of clinical research, innovation, and data analytics in healthcare in their organizations. They share many of the same challenges and see the same opportunities for the future of the field. Better understanding the background and experience of current CRIOs can help define and develop the role in other organizations and enhance their influence in the field of research informatics.


Subject(s)
Academic Medical Centers/organization & administration , Medical Informatics , Information Technology , Salaries and Fringe Benefits/statistics & numerical data , Surveys and Questionnaires , Workforce
9.
Comput Struct Biotechnol J ; 14: 131-4, 2016.
Article in English | MEDLINE | ID: mdl-27069559

ABSTRACT

New vocabularies are rapidly evolving in the literature relative to the practice of clinical medicine and translational research. To provide integrated access to new terms, we developed a mobile and desktop online reference-Marshfield Dictionary of Clinical and Translational Science (MD-CTS). It is the first public resource that comprehensively integrates Wiktionary (word definition), BioPortal (ontology), Wiki (image reference), and Medline abstract (word usage) information. MD-CTS is accessible at http://spellchecker.mfldclin.edu/. The website provides a broadened capacity for the wider clinical and translational science community to keep pace with newly emerging scientific vocabulary. An initial evaluation using 63 randomly selected biomedical words suggests that online references generally provided better coverage (73%-95%) than paper-based dictionaries (57-71%).

10.
J Am Med Inform Assoc ; 23(4): 835-9, 2016 07.
Article in English | MEDLINE | ID: mdl-27121608

ABSTRACT

Since the inception of the Clinical and Translational Science Award (CTSA) program in 2006, leaders in education across CTSA sites have been developing and updating core competencies for Clinical and Translational Science (CTS) trainees. By 2009, 14 competency domains, including biomedical informatics, had been identified and published. Since that time, the evolution of the CTSA program, changes in the practice of CTS, the rapid adoption of electronic health records (EHRs), the growth of biomedical informatics, the explosion of big data, and the realization that some of the competencies had proven to be difficult to apply in practice have made it clear that the competencies should be updated. This paper describes the process undertaken and puts forth a new set of competencies that has been recently endorsed by the Clinical Research Informatics Workgroup of AMIA. In addition to providing context and background for the current version of the competencies, we hope this will serve as a model for revision of competencies over time.


Subject(s)
Certification , Education, Graduate/standards , Medical Informatics/standards , Professional Competence , Translational Research, Biomedical/standards , Curriculum , Societies, Medical , United States
12.
J Am Med Inform Assoc ; 21(1): 171-80, 2014.
Article in English | MEDLINE | ID: mdl-23771953

ABSTRACT

OBJECTIVE: The completion of sequencing the human genome in 2003 has spurred the production and collection of genetic data at ever increasing rates. Genetic data obtained for clinical purposes, as is true for all results of clinical tests, are expected to be included in patients' medical records. With this explosion of information, questions of what, when, where and how to incorporate genetic data into electronic health records (EHRs) have reached a critical point. In order to answer these questions fully, this paper addresses the ethical, logistical and technological issues involved in incorporating these data into EHRs. MATERIALS AND METHODS: This paper reviews journal articles, government documents and websites relevant to the ethics, genetics and informatics domains as they pertain to EHRs. RESULTS AND DISCUSSION: The authors explore concerns and tasks facing health information technology (HIT) developers at the intersection of ethics, genetics, and technology as applied to EHR development. CONCLUSIONS: By ensuring the efficient and effective incorporation of genetic data into EHRs, HIT developers will play a key role in facilitating the delivery of personalized medicine.


Subject(s)
Electronic Health Records , Genetic Testing/ethics , Genomics , Electronic Health Records/ethics , Electronic Health Records/organization & administration , Genomics/education , Genomics/ethics , Genomics/organization & administration , Humans , Medical Informatics/ethics
13.
Article in English | MEDLINE | ID: mdl-24303236

ABSTRACT

Advances in health information technology and biomedical informatics have laid the groundwork for significant improvements in healthcare and biomedical research. For instance, Electronic Health Records can help improve the delivery of evidence-based care, enhance quality, and contribute to discoveries and evidence generation. Despite this promise, there are many challenges to achieving the vision and missions of our healthcare and research enterprises. Given the challenges inherent in doing so, institutions are increasingly moving to establish dedicated leadership and governance models charged with designing, deploying and leveraging various information resources to advance research and advanced care activities at AHCs. Some institutions have even created a new leadership position to oversee such activities, such as the Chief Research Information Officer. This panel will include research informatics leaders discussing their experiences from the proverbial trenches as they work to operationalize such cross-mission governance models. Panelists will start by providing an overview their respective positions and environments, discuss their experiences, and share lessons learned through their work at the intersection of clinical and translational research informatics and Health IT.

14.
In. Bayma, Fátima; Kasznar, Istvan. Saúde e previdência social: desafios para o terceiro milênio. São Paulo, Pearson Education, 2003. p.69-81.
Monography in Portuguese | LILACS | ID: lil-340007
15.
Mundo saúde (Impr.) ; 24(3): 165-72, maio.-jun. 2000.
Article in Portuguese | LILACS | ID: lil-264187

ABSTRACT

O artigo apresenta uma visão parcial e simplificada das principais tendências observadas pelo autor na área de Tecnologia da Informação em Saúde. São destacados os seguintes assuntos: prontuário eletrônico, ASP, segurança e confidencialidade, e Internet (telemedicina, portais da saúde e educação a distância). Procura-se colocar a questão de novas tecnologias no contexto da sua aplicação. São também abordados os aspectos socioculturais do uso da Tecnologia da Informação


Subject(s)
Information Services , Information Systems , Medical Informatics , Technology/trends
16.
In. BIREME - Centro Latinoamericano e do Caribe de Informaçäo em Ciências da Saúde; Organizaçäo Panamericana da Saúde. III Congresso Regional de Informaçäo em Ciências da Saúde. Säo Paulo, BIREME, 1996. , ilus.
Monography in Portuguese | LILACS | ID: lil-241355
17.
In. Schiabel, Homero; Slaets, Annie France Frère; Costa, Luciano da Fontoura; Baffa Filho, Oswaldo; Marques, Paulo Mazzoncini de Azevedo. Anais do III Fórum Nacional de Ciência e Tecnologia em Saúde. Säo Carlos, s.n, 1996. p.669-670.
Monography in Portuguese | LILACS | ID: lil-233923

ABSTRACT

A partir da revisão do atual fluxo informatizado de atendimento de pacientes do HCFMUSP, constata-se a necessidade imediata de maior integração dos sistemas de informações em Saúde. Este artigo subsidia a Identificação Única de Pacientes como um mecanismo viável e efetivo na busca dessa integração.


Subject(s)
Medical Records , Patient Identification Systems , Information Systems , Brazil , Systems Integration
18.
In. Schiabel, Homero; Slaets, Annie France Frère; Costa, Luciano da Fontoura; Baffa Filho, Oswaldo; Marques, Paulo Mazzoncini de Azevedo. Anais do III Fórum Nacional de Ciência e Tecnologia em Saúde. Säo Carlos, s.n, 1996. p.673-674, ilus.
Monography in Portuguese | LILACS | ID: lil-233925

ABSTRACT

Os sistemas de faturamente hospitalar caracterizam-se por um grande volume e variedade de dados. Por outro lado, os sistemas de apoio a área médica, em sua maioria, não se integram naturalmente à esses sistemas, tornando necessário uma solução particular. No InCor a solução adotada caracteriza-se pela versatilidade, pois as regras de conversão estão armazenadas em banco de dados e configuráveis pelo próprio usuário.


Subject(s)
Income , Systems Integration , Hospital Information Systems/trends , Brazil , Databases, Factual
19.
In. Schiabel, Homero; Slaets, Annie France Frère; Costa, Luciano da Fontoura; Baffa Filho, Oswaldo; Marques, Paulo Mazzoncini de Azevedo. Anais do III Fórum Nacional de Ciência e Tecnologia em Saúde. Säo Carlos, s.n, 1996. p.675-676, ilus.
Monography in Portuguese | LILACS | ID: lil-233926

ABSTRACT

Registrar e contabilizar procedimentos, materiais e medicamentos em grandes hospitais, é uma tarefa complexa que é composta das diferentes funções e modelos de dados. As informações necessárias às tarefas de gerência de faturamento, envolvem inúmeras unidades administrativas, técnicas e operacionais. Para introduzir uma solução automatizada desta gerência, propôs-se para o Incor, um modelo baseado na utilização de banco de dados relacional com ferramenta de 4GL.


Subject(s)
Income , Databases, Factual , Accounting , Financial Management, Hospital , Systems Integration
20.
In. Schiabel, Homero; Slaets, Annie France Frère; Costa, Luciano da Fontoura; Baffa Filho, Oswaldo; Marques, Paulo Mazzoncini de Azevedo. Anais do III Fórum Nacional de Ciência e Tecnologia em Saúde. Säo Carlos, s.n, 1996. p.677-678.
Monography in Portuguese | LILACS | ID: lil-233927

ABSTRACT

Com a crescente oferta de produtos e serviços para Internet, torna-se cada vez mais atraente o desenvolvimento de soluções que utilizem esta tecnologia. Para aplicação em Sistemas de informações Hospitalares (SIH), o uso desta solução mostra-se especialmente indicado, pois permite padronização de aplicações e interfaces em ambiente multi-plataforma e atende necessidades de comunicação fundamentais em Instituições de Saúde. Na sua forma original, a Internet paresenta alguns grandes problemas, como: tempos-de-resposta inadequados e baixa segurança. Propõe-se então a adoção de intranet, que permite o uso das tecnologias Internet dentro de um ambiente restrito e controlado, como novo paradigma de SIH. Pode-se então idealizar um modelo de SIH totalmente "aberto", alinhado com tendências atuais, capaz de integrar padrões como HL7 e DICOM além de apresentar todo um conjunto de serviços adicionais (correio eletrônico, troca de arquivos, emulação de terminais) bastante úteis.


Subject(s)
Computer Communication Networks , Hospital Information Systems , Databases, Factual , Hypermedia/trends , Health Facilities , Medical Records Systems, Computerized
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