Applied Biostatistics Laboratory (ABL) ABL consults and collaborates with investigative teams in nursing, contributing their expertise to the designing of experiments, statistical analysis planning (including sample size justification), statistical analysis in support of grants, and preparing/submitting grant proposals.
Academic, Big Data, Data Analysis, Large Data, ResearchStatistical Consulting Applied Biostatistics Laboratory (ABL)http://nursing.umich.edu/research/grant-services
Collaborative Ideas, Projects
University of Michigan School of NursingGrants Research OfficeRobert Ploutz-SnyderPloutz-Snyder, RobertBrain Viewer A dynamic 3D viewer of neuroimaging and brain mapping data including volumes (.nii / .nii.gz / .img&.hdr / .mgh / .mgz / .nrrd), manifold shapes (.dx / .vtk / .stl / FreeSurfer), and tractography fibers (.trk).
Academic, Data Analysis, Data Modeling, ResearchBrain Viewerhttp://socr.umich.edu/HTML5/BrainViewer/Active The GNU Lesser General Public License (LGPL)2
Neuroimaging Data
University of Michigan School of NursingStatistics Online Computational Resource (SOCR)Ivo DinovDinov, IvoCenter for Complexity and Self-management of Chronic Disease (CSCD)The Center for Complexity and Self-management of Chronic Disease (CSCD) advances the science of self-management (SM) by addressing complexity, including the study of complex multi-component interventions and SM for people with complex comorbid conditions. In addition, the Center provides the infrastructure to facilitate interdisciplinary approaches and expand the pool of investigative teams who are equipped to successfully develop and implement externally funded programs of research in self-management.
Clinical, Data Analysis, ResearchSelf-management, Analytics, methods, Chronic DiseaseCSCDhttp://www.socr.umich.edu/CSCDActive
Ideas, Inquiries, Projects
University of Michigan School of NursingCSCDDebra BartonBarton, DebraClinical Learning CenterState-of-the-art clinical learning facility that focus on active learning that fosters greater understanding and more advanced clinical reasoning. The Clinical Learning Center has simulation rooms housed with high-fidelity mannequins for replicating realistic health care situations, to skills labs for honing basic and advanced skills, to staff rich with knowledge, experience and expertise, this environment enables students to apply their knowledge of nursing theory in an interactive and challenging yet safe and supportive environment.
Academic, Administrative, Augmented Reality, Clinical, Learning Analytics, Research, Simulation, Virtual Reality, VisualizationCLC Homepagehttp://nursing.umich.edu/academic-programs/clinical-learning-centerActive N/AN/A
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University of Michigan School of NursingClinical Learning CenterMichelle AebersoldAebersold, MichelleData Dashboard The Data Dashboard webapp provides a mechanism to integrate dispersed multi-source data and service the mashed information via human and machine interfaces in a secure, scalable manner. The Dashboard enables the exploration of subtle associations between variables, population strata, or clusters of data elements, which may be opaque to standard independent inspection of the individual sources. This a new platform includes a device agnostic tool for graphical querying, navigating and exploring the multivariate associations in complex heterogeneous datasets.
Academic, Informatics, Large Data, Open Source, Research, VisualizationData Dashboardhttp://socr.umich.edu/HTML5/Dashboard/Active LGPL1.2 (PMCID: PMC4520712)
Multi-source Data, Incomplete Data, Incongruent Data
University of Michigan HBBS, SOCRIvo DinovDinov, IvoEHR Virtual Clinic Virtual reality clinic that incorporates VistA for Education
Clinical, Simulation, Virtual RealityVirtual Reality, EHRS, Simulation, Multi-Player GamesContact Patricia Abbott for accesspabbott@umich.eduActive OpenSim; Singularity ViewerUniversity of Michigan School of NursingDepartment of Systems, Populations and LeadershipPatricia AbbottAbbott , PatriciaHealth Analytics ConsortiumThe Health Analytics Consortium (HAC) is an open incubator for collaboration and digital scholarship that emphasizes team-based transdisciplinary data science and advanced health analytics. A core mission of HAC is to foster integration of innovative research, development, education and training, and outreach in data and health sciences.
Academic, Administrative, Augmented Reality, Big Data, Bioinformatics, Clinical, Data Analysis, Data Modeling, Decision Support Systems, EHRS/EHR, GIS, Grid Computing, HPC, Informatics, Large Data, Learning Analytics, Machine Learning, Meta-Data, Open Science, Open Source, Portfolio Management, Research, Simulation, Virtual Reality, VisualizationHealth Analytics Consortiumhttp://hac.nursing.umich.eduMarcy HarrisLORIS (Longitudinal Online Research and Imaging System) is a web-based data and project management software for neuroimaging research studies. It is an OPEN SOURCE framework for storing and processing behavioural, clinical, neuroimaging and genetic data. LORIS also makes it easy to manage large datasets acquired over time in a longitudinal study, or at different locations in a large multi-site study.
Academic, Big Data, Clinical, Data Analysis, Data Modeling, Meta-Data, Open Source, Research, VisualizationUnder Development LORIS is open source software. It is released under the GPLv3 license.
Clinical Data, Imaging Data, Genetic Datasets
University of Michigan School of NursingSOCRIvo DinovDinov, IvoMiHIN PatiientGen & Persona at the UMSN Synthetic Patient Data Sets (HAPI FHIR server in AWS)
Academic, Clinical, Data Analysis, Open Source, ResearchSynthetic Patients, FHIR, VistA, Electronic Health Records, IPEGithub Source Codehttps://github.com/jamesagnew/hapi-fhirUnder Development JAVA APIUnder DevelopmentUniversity of Michigan School of NursingPatricia AbbottAbbott , PatriciaSimulation IQEMS' SIMULATIONiQ™ Enterprise solution provides a single integrated platform with a full spectrum of options for mid- to large-size standardized patient (SP) and mannequin-based simulation centers. From audio-visual hardware and software to management, evaluation, and mobile device access, SIMULATIONiQ Enterprise enables evaluators to leverage their full simulation efforts to drive tangible results.
Academic, Clinical, Learning Analytics, Meta-Data, Research, SimulationSimulation IQhttp://sims.nursing.umich.edu/simiqActive Comercial5.14.1608.1610
Simulation, Evaluation, Recordings, Scenarios, Manikin Vitals
University of Michigan School of NursingClinical Learning CenterMichelle AebersoldAebersold, MichelleSOCR Datasets: Examples of Biomedical, Health, Imaging, Economic and Biosocial Data This is an open-access archive of a diverse collection of datasets that can be used for demonstrations, algorithm development, instrument testing, exploratory analytics and hands-on experiential practice of data-driven inference. The data are classified by type. Meta-data is provided to frame the information into the scope of specific driving motivational challenges. Observed and simulated data are included in the SOCR Data archive. The data can be redistributed (CC-BY).
Academic, Big Data, Data Analysis, Large Data, ResearchAnalytics, Big Data, methods, Software, SMHS, Education, TrainingSOCR Wikihttp://wiki.socr.umich.edu/index.php/SOCR_DataActive Open access, redistribution is allowed (CC-BY license).
User Navigates the Data Archive Using a Mouse, Searches via keyword/phrase
University of Michigan School of NursingHBBS, MIDAS, SOCR / Statistics Online Computational ResourceIvo DinovDinov, IvoStatistics Online Computational Resource (SOCR) The Statistics Online Computational Resource (SOCR) designs, validates and freely disseminates knowledge, scientific discoveries and learning materials. Specifically, SOCR provides portable online aids for probability, statistics, methods and analytics education, technology based instruction, and statistical computing.
Academic, Data Analysis, Data Modelingstatistics, methods, applets, webapps, data, learning, ebook, teachingSOCRhttp://socr.umich.edu/ LGPL (code) and CC-BY (Content)
Datasets, Learning Inquiries
University of Michigan School of NursingSOCRIvo DinovDinov, IvoUMHS Data Set CatalogUMHS Data Set Catalog is a listing of data sets available to various constituents within the University, along with associated metadata that describes what each data set contains, how it can be accessed, who its stakeholders are, and what its history has been.
An online, searchable directory of data assets (e.g. Disease Registries, Financial Data, Biospecimen Collections, Government Health Data, Quality Data), institutional or departmental, that have the potential for data reuse by the broader UMHS constituency.Clinical, Data Analysis, Data Modeling, Large DataUMHS Data Set Homepagehttps://datasetcatalog.med.umich.edu/Active N/A
Data Type, Creation Date, Stakeholders, Access Protocols
University of Michigan Health SystemUMHS's Data Analytics initiative, COMPASSMarcy HarrisHarris, MarcyUniversity of Michigan Institute for Healthcare Policy and Innovation Data Sets The University of Michigan Health System provides leadership and support of “Collaborative Quality Initiatives” (CQIs) which seek to address some of the most common, complex, and costly areas of surgical and medical care. CQI Coordinating Centers, led by UMHS faculty, work collaboratively with health care providers throughout Michigan to collect data to a centralized registry; analyze and share data to identify processes that lead to improved delivery of care and outcomes, and guide quality improvement interventions.
Academic, Administrative, Big Data, Data Analysis, Data Modeling, EHRS/EHR, Large Data, ResearchClinical Data, Administrative Data, BC/BS, Quality Improvement, Data Analytics, Outcomes http://ihpi.umich.edu/about/data-resources/available-datasetshttp://ihpi.umich.edu/about/data-resources/available-datasets Varies according to source. Access to sets are available to IHPI members. Some have costs associated.University of Michigan Institute for Healthcare Policy & InnovationUMSN & Cross-campus , ihpi-data@umich.eduVistA for Education/ Educational World VistAReal world EHRS configured for use in an academic setting
Academic, Clinical, EHRS/EHR, SimulationEHRS, VistA, Simulation, Synthetic Patients GPLV2 UMHS CPT Code internal-use license (AMA)University of Michigan School of Nursing, SOMDepartment of Systems, Populations and Leadership / InformaticsPatricia AbbottAbbott , Patricia XNATXNAT is an open source imaging informatics platform, developed by the Neuroinformatics Research Group at Washington University. It facilitates common management, productivity, and quality assurance tasks for imaging and associated data. Learn more here
Big Data, Data Analysis, Data Modeling, Informatics, Large Data, Open Source, VisualizationUnder Development Copyright (c) 2015, Washington University School of Medicine, Harvard University, Howard Hughes Medical Institute. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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DICOM Image Data, Clinical Data, Psychometric Data
University of Michigan School of NursingSOCRIvo DinovDinov, Ivo