scholarly journals Medical Informatics Training at Columbia University and the Columbia-Presbyterian Medical Center

1995 ◽  
Vol 04 (01) ◽  
pp. 125-129
Author(s):  
B. A. Allen ◽  
P. D. Clayton ◽  
J. J. Cimino
Keyword(s):  
Medical Informatics ◽  
Medical Center ◽  
Clinical Information ◽  
Information Management System ◽  
Advanced Technology ◽  
Columbia University ◽  
Postdoctoral Training ◽  
Unified Medical Language System ◽  
Part Time Faculty ◽  
Part Time

Abstract:The Department of Medical Informatics at Columbia University College of Physicians and Surgeons consists of a faculty of 17 full-and part-time faculty. The Department faculty collaborate with the Department of Computer Science and several clinical departments of the medical center. We offer courses in medical informatics, formal degrees (M.A., M.Phil. and Ph.D.) and a postdoctoral training program. In addition to academic offerings, the close affiliation with the Columbia-Presbyterian Medical Center and the primary responsibilities for clinical information systems offers trainees unique opportunities to work with and develop real-world applications. Faculty research programs include work on the Integrated Advanced Information Management System (IAIMS), Unified Medical Language System (UMLS), High-Perfor-mance Computing and Communications (HPCC), Electronic Medical Records, automated decision support and technology transfer through the Center for Advanced Technology.

IAIMS and UMLS at Columbia-Presbyterian Medical Center

1991 ◽  
Vol 11 (4_suppl) ◽  
pp. S89-S93 ◽  
Author(s):  
James J. Cimino ◽  
Soumitra Sengupta
Keyword(s):  
Information Management ◽  
Management System ◽  
Medical Center ◽  
Information Management System ◽  
Language System ◽  
Unified Medical Language System ◽  
Medical Language ◽  
Academic Information

The authors use an example to illustrate combining Integrated Academic Information Management System (IAIMS) components (applications) into an integral whole, to facilitate using the components simultaneously or in sequence. They examine a model for classifying IAIMS systems, proposing ways in which the Unified Medical Language System (UMLS) can be exploited in them.

Use of the Unified Medical Language System in Patient Care at the Columbia-Presbyterian Medical Center

1995 ◽  
Vol 34 (01/02) ◽  
pp. 158-64 ◽  
Author(s):  
J. J. Cimino
Keyword(s):  
Patient Care ◽  
Structural Model ◽  
Clinical Information System ◽  
Medical Center ◽  
Clinical Information ◽  
The United States ◽  
Semantic Relations ◽  
Language System ◽  
Unified Medical Language System ◽  
Medical Language

Abstract:The Unified Medical Language System (UMLS) project at the United States National Library of Medicine contains and organizes a large number of terms from controlled medical vocabularies. This study examines the suitability of the UMLS for representing patient care information as it exists in the Columbia-Presbyterian Medical Center (CPMC) clinical information system. Comparisons were made between the semantic types, semantic relations and medical concepts of the UMLS and the data model entities, semantic classes, semantic relations and concepts in the CPMC system. Results of the comparison demonstrate that the UMLS structural model is appropriate for representing CPMC vocabularies and patient data and that the UMLS concepts provide excellent coverage of CPMC concepts in many areas. Recommendations are made for enhancing UMLS structure to provide additional coverage of the CPMC model. It is concluded that content expansion to provide better coverage of clinical terminology is possible within the current UMLS model.

scholarly journals 3566 Longitudinal analysis of research collaborations and emerging networks

2019 ◽  
Vol 3 (s1) ◽  
pp. 132-133
Author(s):  
Ann Marie Dozier ◽  
Elizabeth Wayman ◽  
Camille Anne Martina ◽  
Nicole O’Dell ◽  
Eric P. Rubinstein ◽  
...  
Keyword(s):  
Medical Center ◽  
Research Networks ◽  
Network Growth ◽  
Part Time Faculty ◽  
Research Collaborations ◽  
Part Time ◽  
Study Population ◽  
Changes Over Time ◽  
The Impact ◽  
Over Time

OBJECTIVES/SPECIFIC AIMS: To longitudinally track emerging research collaborations and assess their development and productivity. METHODS/STUDY POPULATION: In four administrations (2011, 2013, 2015, 2017), all full- and part-time University of Rochester Medical Center faculty received an email invitation to complete a research collaborators survey. Respondents indicated whether they were involved in research, and if involved in research, identified collaborators from a drop-down list of investigators in the institution. Space was provided for write-ins. Full- and part-time status, faculty rank, and departmental affiliation was associated with each investigator. Grant data were obtained from a grant management database maintained by the institution’s Office of Research and Project Administration. Grant data included all submissions (funded and not funded), award number, award effective data, award final expiration date, funding amounts, principal investigator and co-investigators. Using Mathematica SNA software, for each year we identified collaborator dyads (including their characteristics such as inter/intradepartmental; investigator characteristics) and networks (e.g. size, density). RESULTS/ANTICIPATED RESULTS: On average, 1800 (range 1730-2034) full- and part-time faculty received email invitations to complete the survey. An average of 403 respondents (range 385-441) completed the survey each administration. While the response rate seems low, the survey was distributed to every faculty member regardless of their primary appointment. Thus it included a large number of individuals whose role is exclusively clinical. Grant data included 4429 awards received between 2011 and 2018, involving 1395 investigators as principal or co-investigators. Survey respondents naming collaborators ranged from 233 to 280 (average 257) with 1594 to 2265 (average 1988) collaborations named each year. Overall density increased from.0204 in 2011 to.0342 in 2017. Density within the group of female investigators increased from.0219 in 2011 to.0412 in 2017. Within the group of male investigators, density increase from.0226 to.0333 in the same time span. Analysis by rank, changes over time and those with grant funding is underway. DISCUSSION/SIGNIFICANCE OF IMPACT: This methodology captured a consistent number of collaborations over an 8 year period. Analyses reveal network growth over time and of increasing heterogeneity (by gender). Analyzing research networks overtime provides an important metric to assess how research networks evolve and devolve and the characteristics of those that grow or stagnate. Further these analyses can demonstrate the impact of support provided to networks or teams by the CTSI, department or other institutional mechanism.

scholarly journals Pediatric Faculty Members??? Attitudes about Part-Time Faculty Positions and Policies to Support Part-Time Faculty: A Study at One Medical Center

2005 ◽  
Vol 80 (10) ◽  
pp. 931-939 ◽  
Author(s):  
Jessica A. Kahn ◽  
Sandra J. F. Degen ◽  
Mona E. Mansour ◽  
Elizabeth Goodman ◽  
Meg H. Zeller ◽  
...  
Keyword(s):  
Medical Center ◽  
Faculty Members ◽  
Part Time Faculty ◽  
Faculty Positions ◽  
Part Time ◽  
Time Faculty

scholarly journals Predicting the genetic ancestry of 2.6 million New York City patients using clinical data

2019 ◽  
Author(s):  
Vijendra Ramlall ◽  
Kayla M. Quinnies ◽  
Rami Vanguri ◽  
Tal Lorberbaum ◽  
David B. Goldstein ◽  
...  
Keyword(s):  
New York ◽  
Clinical Data ◽  
Race And Ethnicity ◽  
Medical Center ◽  
Clinical Care ◽  
Clinical Information ◽  
Genetic Ancestry ◽  
Columbia University ◽  
Reduction Techniques ◽  
Dimensionality Reduction Techniques

AbstractAncestry is an essential covariate in clinical genomics research. When genetic data are available, dimensionality reduction techniques, such as principal components analysis, are used to determine ancestry in complex populations. Unfortunately, these data are not always available in the clinical and research settings. For example, electronic health records (EHRs), which are a rich source of temporal human disease data that could be used to enhance genetic studies, do not directly capture ancestry. Here, we present a novel algorithm for predicting genetic ancestry using only variables that are routinely captured in EHRs, such as self-reported race and ethnicity, and condition billing codes. Using patients that have both genetic and clinical information at Columbia University/ New York-Presbyterian Irving Medical Center, we developed a pipeline that uses only clinical data to predict the genetic ancestry of all patients of which more than 80% identify as other or unknown. Our ancestry estimates can be used in observational studies of disease inheritance, to guide genetic cohort studies, or to explore health disparities in clinical care and outcomes.

Sistem Integrasi Aplikasi Desktop Klinik MCU TKI Pada Medical Center Purwokerto

2020 ◽  
Vol 2 (01) ◽  
pp. 1-8
Author(s):  
Lutfi Syafirullah ◽  
Hidayat Muhammad Nur ◽  
Vadlya Ma'arif
Keyword(s):  
Network Architecture ◽  
Clinical Information System ◽  
Medical Center ◽  
Current System ◽  
Clinical Information ◽  
Clinical Work ◽  
Database Systems ◽  
Prototype Model ◽  
Medical Checkup ◽  
Operational Activities

Information technology integration is expected to be able to accommodate the ease and improvement in supporting database platforms through intranet and internet infrastructure. Integration is intended to blend desktop and web database systems. Medical Checkup Purwokerto is a designated place to facilitate the checkup health of the official PJTKI Banyumas Disnaker BNP2TKI. The current system, which is a check-up application, is carried out by prospective Indonesian Workers or Medical checkup units, covering many processes including registration, health checks, types, results, payments and reports. There was a buildup of operational activities Clinical work on a daily basis, by the administrator of the medical record so that management aimed at developing a web-based clinical information system includes the scope of the processed database components, access authorization, and security. The method used is the software development life cycle (SDLC) with the Evolutionary Prototype Model. Results, patient data can be integrated as a whole process flow with a client-server network architecture

scholarly journals Practice of Telehealth in Otolaryngology: A Scoping Review in the Era of COVID-19

2021 ◽  
pp. 019459982110137
Author(s):  
Joseph N. Gonzalez ◽  
Lucas G. Axiotakis ◽  
Victoria X. Yu ◽  
David A. Gudis ◽  
Jonathan B. Overdevest
Keyword(s):  
Outcome Measures ◽  
Scoping Review ◽  
Medical Center ◽  
Randomized Study ◽  
Marked Change ◽  
Policy Decision ◽  
Columbia University ◽  
Group Assignment ◽  
Scoping Reviews ◽  
Full Text Review

Objective The COVID-19 pandemic has spurred widespread adoption and advancement in telehealth activities, representing a marked change in otolaryngology practice patterns. The present study undertakes a scoping review of research focused on telehealth in otolaryngology (teleotolaryngology) to identify key themes and commonly utilized outcome measures that will assist future development in this growing field. Data Sources PubMed, Embase, and Cochrane databases and reference review. Review Methods Per guidelines of the PRISMA Extension for Scoping Reviews, we performed database queries using a comprehensive search strategy developed in collaboration with research librarians at the Columbia University Irving Medical Center. We identified 596 unique references to undergo title and abstract review by 2 independent reviewers, leaving 439 studies for full-text review. Results We included 285 studies for extraction of notable findings, leaving 262 unique studies after accounting for content overlap. We identified core outcome measures, including patient and provider satisfaction, costs and benefits, quality of care, feasibility, and access to care. Publication volume increased markedly over time, though only 4% of studies incorporated randomized study group assignment. Using an iterative approach to thematic development, we organized article content across 5 main themes: (1) exploration of teleotolaryngology evolution, (2) role in virtual clinical encounters, (3) applications in interdisciplinary care and educational initiatives, (4) emerging and innovative technologies, and (5) barriers to implementation. Conclusion This scoping review of teleotolaryngology documents its evolution and identifies current use cases, limitations, and emerging applications, providing a foundation from which to build future studies, inform policy decision making, and facilitate implementation where appropriate.

scholarly journals Faculty Publishing Productivity: Comparisons over Time

2006 ◽  
Vol 67 (3) ◽  
pp. 230-239 ◽  
Author(s):  
John M. Budd
Keyword(s):  
Academic Librarians ◽  
Tenure Track ◽  
Data Set ◽  
Part Time Faculty ◽  
Time Period ◽  
Rate Of Increase ◽  
Part Time ◽  
Per Capita ◽  
Time Faculty ◽  
Over Time

Concerns about higher education abound, and these include concerns about productivity. The present study extends two previous examinations of faculty publishing productivity covering the years 1991 to 1993 and 1995 to 1997. Both members of ARL and a group of institutions included in ACRL’s data set are included. For both groups there are some increases in mean total numbers of publications, although the rate of increase has decreased since the second time period. Per capita rates of publication demonstrate an even flatter pattern. In recent years, there have been some changes in the dynamics of universities’ faculties; there are more part-time faculty and more faculty who are not on the tenure track. These factors, coupled with the publishing data, point to activities that all academic librarians should be aware of.

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