This document describes a study to compare the effectiveness of using an electronic medical record (EMR) like EPIC for disaster triage versus traditional color-coded tags. The study will randomize first responders at a disaster drill to either use EPIC on a mobile app to register patients and assign triage levels in the field, or to use color-coded tags. The primary outcome is time from triage to treatment, with secondary outcomes like triage time per patient and time of arrival to hospital treatment. Feedback is sought on study design and secondary measures. The goals are to finalize IRB approval and begin the study by February 2017.
Session Two: Barriers to investment in research to find a disease modifying therapy or cure for dementia
Dr Neil Buckholtz , Director of Neuroscience, the National Institute on Aging (NIA), National Institutes of Health (NIH)
Big Data and the Promise and Pitfalls when Applied to Disease Prevention and ...Philip Bourne
Big data and data science have implications for healthcare and biomedical research. Large amounts of data are being generated but much of it remains unused. Integrating data through common standards could provide new insights into rare diseases. The National Institutes of Health is working to establish data standards and cloud resources to enable data sharing and advance precision medicine through its Precision Medicine Initiative. Data science has the potential to improve disease prevention and health promotion by identifying patterns in large, diverse datasets.
Researchers and public health practitioners increasingly use Internet big data as data source. What are some of the ethical problems, and how should they be tackled? The author advocates the creation of a self-regulatory body of researchers, a code of conduct, and a notice/opt-out infrastructure, to avoid a public backlash against social media tracking/monitoring for public health, similar to the Facebook fiasko in 2014 (Cornell study).
How to get your ehealth / mhealth research publishedGunther Eysenbach
This document provides information about JMIR Publications, an open access publisher focused on eHealth, mHealth, and technology in health. It discusses JMIR's 16 peer-reviewed journals, including the flagship Journal of Medical Internet Research. The document outlines JMIR's vision of advancing health sciences through technology. It also provides guidance for authors on deciding where to publish, submission requirements, and contact information.
IBM Watson is an AI system capable of answering questions posed in natural language. It analyzes large amounts of medical information to provide evidence-based answers and diagnostic support to healthcare professionals. Its ability to quickly analyze vast amounts of constantly changing medical data could help reduce diagnostic errors and accelerate the application of new research findings to improve patient outcomes. Major healthcare organizations are partnering with IBM to apply Watson's capabilities to cancer care, medical decision-making, and other clinical domains.
Big Data in Biomedicine: Where is the NIH HeadedPhilip Bourne
The National Institutes of Health (NIH) is taking actions to address the implications of big data for biomedical research and healthcare. These include developing a "Commons" approach to make data findable, accessible, interoperable and reusable. The NIH is also establishing initiatives like the Precision Medicine Initiative to generate large datasets and the Center for Predictive Computational Phenotyping to develop predictive models from electronic health records. Overall, the NIH aims to train a workforce equipped for data science and facilitate open collaboration to realize the potential of big data for improving health outcomes.
Presentation at AMIA 2013 Washington DC, Nov 19th, Panel S50 Social Media and Me. I am focussing on the use of social media for research, in particular as tool for filtering the literature, twimpact factor, altmetrics...
This document describes a study to compare the effectiveness of using an electronic medical record (EMR) like EPIC for disaster triage versus traditional color-coded tags. The study will randomize first responders at a disaster drill to either use EPIC on a mobile app to register patients and assign triage levels in the field, or to use color-coded tags. The primary outcome is time from triage to treatment, with secondary outcomes like triage time per patient and time of arrival to hospital treatment. Feedback is sought on study design and secondary measures. The goals are to finalize IRB approval and begin the study by February 2017.
Session Two: Barriers to investment in research to find a disease modifying therapy or cure for dementia
Dr Neil Buckholtz , Director of Neuroscience, the National Institute on Aging (NIA), National Institutes of Health (NIH)
Big Data and the Promise and Pitfalls when Applied to Disease Prevention and ...Philip Bourne
Big data and data science have implications for healthcare and biomedical research. Large amounts of data are being generated but much of it remains unused. Integrating data through common standards could provide new insights into rare diseases. The National Institutes of Health is working to establish data standards and cloud resources to enable data sharing and advance precision medicine through its Precision Medicine Initiative. Data science has the potential to improve disease prevention and health promotion by identifying patterns in large, diverse datasets.
Researchers and public health practitioners increasingly use Internet big data as data source. What are some of the ethical problems, and how should they be tackled? The author advocates the creation of a self-regulatory body of researchers, a code of conduct, and a notice/opt-out infrastructure, to avoid a public backlash against social media tracking/monitoring for public health, similar to the Facebook fiasko in 2014 (Cornell study).
How to get your ehealth / mhealth research publishedGunther Eysenbach
This document provides information about JMIR Publications, an open access publisher focused on eHealth, mHealth, and technology in health. It discusses JMIR's 16 peer-reviewed journals, including the flagship Journal of Medical Internet Research. The document outlines JMIR's vision of advancing health sciences through technology. It also provides guidance for authors on deciding where to publish, submission requirements, and contact information.
IBM Watson is an AI system capable of answering questions posed in natural language. It analyzes large amounts of medical information to provide evidence-based answers and diagnostic support to healthcare professionals. Its ability to quickly analyze vast amounts of constantly changing medical data could help reduce diagnostic errors and accelerate the application of new research findings to improve patient outcomes. Major healthcare organizations are partnering with IBM to apply Watson's capabilities to cancer care, medical decision-making, and other clinical domains.
Big Data in Biomedicine: Where is the NIH HeadedPhilip Bourne
The National Institutes of Health (NIH) is taking actions to address the implications of big data for biomedical research and healthcare. These include developing a "Commons" approach to make data findable, accessible, interoperable and reusable. The NIH is also establishing initiatives like the Precision Medicine Initiative to generate large datasets and the Center for Predictive Computational Phenotyping to develop predictive models from electronic health records. Overall, the NIH aims to train a workforce equipped for data science and facilitate open collaboration to realize the potential of big data for improving health outcomes.
Presentation at AMIA 2013 Washington DC, Nov 19th, Panel S50 Social Media and Me. I am focussing on the use of social media for research, in particular as tool for filtering the literature, twimpact factor, altmetrics...
Pacific Symposium on Biocomputing 2018Warren Kibbe
Machine learning and deep learning techniques are becoming mainstream in research publications and have applications in cancer research. However, there are still barriers to widespread adoption, including liability concerns, lack of comfort with black box models, need for extensive training, usability challenges, lack of traceability in results, and lack of well characterized validation and safeguards in model development. To fully realize the potential of these techniques, we need approaches that reduce cognitive load on humans, improve access to the data and reasoning behind recommendations, and provide timely decision support.
This document discusses how monitoring and evaluation (M&E) systems can support program evaluation through three case studies. It finds that while M&E systems may not replace randomized controlled trials, they can provide adequate evidence when integrated data from routine collection and surveys are analyzed together. Specifically, the document examines how M&E data has been used to evaluate the impact of a community health insurance scheme in Burkina Faso, a malaria partnership in Tanzania, and an HIV prevention program in India. In each case, the M&E system data provided plausible evidence of impact when analyzed longitudinally and through dose-response relationships, though the studies fell short of experimental evidence.
mLearning Tibotec project presented at eLearning Africa in Dakar SenegalInge de Waard
These are the slides that will be presented (still a draft version, but almost finished) at the eLearning Africa conference in Dakar, Senegal.
The project uses mobile devices (N95 and iPhone) to send mobile courses to medical workers in the field (in and around Lima). We use wifi, photosharing, skype... just look at the options we choose.
This document discusses using IBM Watson to assist in healthcare. It describes how Watson can help address issues like the growing amount of medical data, increasing healthcare costs, diagnosis errors, and the shortage of doctors. Watson combines technologies like natural language processing and evidence-based learning to provide concise summaries of medical information to aid clinical decision making. The document provides examples of how Watson could be applied in areas like oncology to help create individualized cancer treatment plans.
The document provides an overview of shared services at an organization, including utilization rates and organizational charts. It lists the directors of various shared service cores and resources. New leadership is noted for the flow cytometry service. Upcoming external reviews of several shared services are mentioned, as well as pending grant applications to support services. Specialized services expected to have fewer users due to technical expertise required are also indicated.
This CEO update discusses the organization's research strategy, which focuses on coordinating clinical care and research through big data sharing between patients, clinicians, and researchers. The strategy aims to shift from siloed and investigator-led grants to a whole system, priority-led approach and more sustainable fundraising. Key areas of focus include clinical trials, collaborative translational research, immunology, and precision medicine.
INTEGRATE AMR - Opportunities to Collaborate with Warwickwarwick_amr
The document discusses the INTEGRATE AMR initiative at Warwick University which aims to foster interdisciplinary collaborations and follow-on funding opportunities related to antimicrobial resistance (AMR) research. The initiative promotes AMR research to early career researchers through various fellowship and funding opportunities. It also engages stakeholders from various fields like social sciences, education, business, healthcare, industry, and public health to help address AMR through diverse approaches like synthetic chemistry, natural products research, modeling, and behavior change.
A study of the internet use by parents of children with chronic kidney diseaseDeise Garrido
This presentation has been scheduled in the Med-e-Tel 2017 conference program in a session on “Disease Management, Rehabilitation, Remote Monitoring” on Friday April 7th, 11h00-13h00 (see www.medetel.eu/index.php?rub=educational_program&page=program for preliminary program).
Ethical, Legal, and Social Implications of ELSI Learning Health Systems 2017 Conference, University of Michigan. Learning from the experience and outcomes of every cancer patient
Dillon Whitten is a 2016 graduate of The University of Alabama with a Bachelor of Science in Chemical and Biological Engineering. He has experience as an assistant launch engineer and temporary night shift production supervisor at Astra CFX, where he assisted in plant start-up, optimized production processes, and increased productivity. Whitten also conducted undergraduate cancer drug delivery research at UA, leading a team investigating magnetic particles for targeted drug delivery.
Telemedicine allows patients to receive clinical care remotely using telecommunications technology. It has grown in popularity due to physician shortages, specialized expertise being spread out geographically, cost savings, and patients preferring telemedicine services. Telemedicine encompasses telehealth, mobile health and remote monitoring services. Common telemedicine specialties today include radiology, neurology, cardiology, telepsychiatry, ophthalmology and dermatology. Barriers to further adoption include issues with reimbursement, licensure, regulations and inertia from vested interests.
Quertle is a biomedical big data analytics company that provides a platform using artificial intelligence and other advanced techniques to analyze over 40 million biomedical documents. Their platform allows for more comprehensive and precise searches compared to keyword-based searches, and can discover relationships and make connections that other tools cannot. The platform also provides predictive visual analytics and concept-oriented exploration of the data to provide actionable insights. Quertle aims to help address issues with the growing volume of biomedical literature and information that is missed with current approaches.
Future Health Challenges: Developing Global Norms for Data and Results Sharin...ExternalEvents
http://www.fao.org/about/meetings/wgs-on-food-safety-management/en/
Future Health Challenges: Developing Global Norms for Data and Results Sharing during Public Health Emergencies. Presentation from the Technical Meeting on the impact of Whole Genome Sequencing (WGS) on food safety management and GMI-9, 23-25 May 2016, Rome, Italy.
From Research to Practice - New Models for Data-sharing and Collaboration to ...Health Data Consortium
Watch the webinar here: http://encore.meetingbridge.com/MB005418/140528/
Webinar transcript: http://hdc.membershipsoftware.org/Files/webinars/HDC-PwC%20NIH%20&%20PCORI%20Webinar%20Transcript%205_28_14.pdf
Patient-Centered Outcomes Research Institute (PCORI) Executive Director Joe Selby, MD, MPH; National Institutes of Health (NIH) Director and PCORI Board of Governors member Francis Collins, MD, PhD; and NIH Associate Director for Data Science Philip Bourne, PhD discussed new and emerging trends in big data for health, including:
- How researchers, patients, clinicians, and others are forging new models for data-sharing.
- Leveraging the quantity, variety, and analytic potential of health-related data for research and practice.
- Addressing patients’ perspectives, needs, and concerns in creating new opportunities for innovation and translational science.
- Exciting initiatives such as PCORnet, the National Patient-Centered Clinical Research Network initiative that PCORI is now helping to develop, and related open data and technology efforts such - as the NIH Health Systems Collaboratory and Big Data to Knowledge (BD2K) initiative.
Discover more health data resources on our website at http://www.healthdataconsortium.org/
The document compares health data collected electronically using a mobile application versus traditional paper records in Rwanda. It finds that the electronically collected data more closely matches growth standards from the WHO and has higher accuracy. Specifically, the electronic data shows a better fit to WHO models, is normally distributed unlike the paper data, and has less than half the percentage of data points failing normality tests compared to the paper records. The results suggest mobile data collection can improve data availability, timeliness, and accuracy for community health programs.
Integrating openIMIS in the Undergraduate and Postgraduate Medical CurriculumIris Thiele Isip-Tan
The document discusses integrating the openIMIS health insurance management system into medical education curricula. It provides examples of:
- Courses that teach openIMIS skills and how it relates to clinical practice and health insurance processes
- Expectations that students will be able to use openIMIS, describe its functions, and uphold ethics in medical informatics
- Ways openIMIS data could inform research, health technology decisions, and provider payment models under universal health coverage
The document suggests openIMIS training should not just focus on software navigation, but also use scenarios to discuss privacy, ethics and how openIMIS data relates to broader health issues.
160929 teamscope presentation molecule to businessSMBBV
Teamscope; mHealth, a paradigm shift in clinical reseach. Presentation by Diego Mechaca during 'From Molecule to Business' event by SMB Life Sciences and Health Valley at NovioTechCampus, Nijmegen, The Netherlands on September 29, 2016.
The document discusses using PROC REPORT in SAS to create summary reports from SAS data sets. It provides examples of creating basic reports with columns and definitions, grouping and computing summaries, adding computed columns, and creating percentage bars. It also discusses using ODS tagsets to create interactive reports and surveys, and shows how to link summary reports to detail reports using computed hyperlinks.
Grand Theft Auto: Vice City readme document provides system requirements and installation instructions. It outlines that the game requires Windows 98 or newer, a minimum of 128MB RAM, 32MB video card and at least 915MB of hard disk space. The document provides details on installation, configuration, known issues and extras available for the PC version.
Pacific Symposium on Biocomputing 2018Warren Kibbe
Machine learning and deep learning techniques are becoming mainstream in research publications and have applications in cancer research. However, there are still barriers to widespread adoption, including liability concerns, lack of comfort with black box models, need for extensive training, usability challenges, lack of traceability in results, and lack of well characterized validation and safeguards in model development. To fully realize the potential of these techniques, we need approaches that reduce cognitive load on humans, improve access to the data and reasoning behind recommendations, and provide timely decision support.
This document discusses how monitoring and evaluation (M&E) systems can support program evaluation through three case studies. It finds that while M&E systems may not replace randomized controlled trials, they can provide adequate evidence when integrated data from routine collection and surveys are analyzed together. Specifically, the document examines how M&E data has been used to evaluate the impact of a community health insurance scheme in Burkina Faso, a malaria partnership in Tanzania, and an HIV prevention program in India. In each case, the M&E system data provided plausible evidence of impact when analyzed longitudinally and through dose-response relationships, though the studies fell short of experimental evidence.
mLearning Tibotec project presented at eLearning Africa in Dakar SenegalInge de Waard
These are the slides that will be presented (still a draft version, but almost finished) at the eLearning Africa conference in Dakar, Senegal.
The project uses mobile devices (N95 and iPhone) to send mobile courses to medical workers in the field (in and around Lima). We use wifi, photosharing, skype... just look at the options we choose.
This document discusses using IBM Watson to assist in healthcare. It describes how Watson can help address issues like the growing amount of medical data, increasing healthcare costs, diagnosis errors, and the shortage of doctors. Watson combines technologies like natural language processing and evidence-based learning to provide concise summaries of medical information to aid clinical decision making. The document provides examples of how Watson could be applied in areas like oncology to help create individualized cancer treatment plans.
The document provides an overview of shared services at an organization, including utilization rates and organizational charts. It lists the directors of various shared service cores and resources. New leadership is noted for the flow cytometry service. Upcoming external reviews of several shared services are mentioned, as well as pending grant applications to support services. Specialized services expected to have fewer users due to technical expertise required are also indicated.
This CEO update discusses the organization's research strategy, which focuses on coordinating clinical care and research through big data sharing between patients, clinicians, and researchers. The strategy aims to shift from siloed and investigator-led grants to a whole system, priority-led approach and more sustainable fundraising. Key areas of focus include clinical trials, collaborative translational research, immunology, and precision medicine.
INTEGRATE AMR - Opportunities to Collaborate with Warwickwarwick_amr
The document discusses the INTEGRATE AMR initiative at Warwick University which aims to foster interdisciplinary collaborations and follow-on funding opportunities related to antimicrobial resistance (AMR) research. The initiative promotes AMR research to early career researchers through various fellowship and funding opportunities. It also engages stakeholders from various fields like social sciences, education, business, healthcare, industry, and public health to help address AMR through diverse approaches like synthetic chemistry, natural products research, modeling, and behavior change.
A study of the internet use by parents of children with chronic kidney diseaseDeise Garrido
This presentation has been scheduled in the Med-e-Tel 2017 conference program in a session on “Disease Management, Rehabilitation, Remote Monitoring” on Friday April 7th, 11h00-13h00 (see www.medetel.eu/index.php?rub=educational_program&page=program for preliminary program).
Ethical, Legal, and Social Implications of ELSI Learning Health Systems 2017 Conference, University of Michigan. Learning from the experience and outcomes of every cancer patient
Dillon Whitten is a 2016 graduate of The University of Alabama with a Bachelor of Science in Chemical and Biological Engineering. He has experience as an assistant launch engineer and temporary night shift production supervisor at Astra CFX, where he assisted in plant start-up, optimized production processes, and increased productivity. Whitten also conducted undergraduate cancer drug delivery research at UA, leading a team investigating magnetic particles for targeted drug delivery.
Telemedicine allows patients to receive clinical care remotely using telecommunications technology. It has grown in popularity due to physician shortages, specialized expertise being spread out geographically, cost savings, and patients preferring telemedicine services. Telemedicine encompasses telehealth, mobile health and remote monitoring services. Common telemedicine specialties today include radiology, neurology, cardiology, telepsychiatry, ophthalmology and dermatology. Barriers to further adoption include issues with reimbursement, licensure, regulations and inertia from vested interests.
Quertle is a biomedical big data analytics company that provides a platform using artificial intelligence and other advanced techniques to analyze over 40 million biomedical documents. Their platform allows for more comprehensive and precise searches compared to keyword-based searches, and can discover relationships and make connections that other tools cannot. The platform also provides predictive visual analytics and concept-oriented exploration of the data to provide actionable insights. Quertle aims to help address issues with the growing volume of biomedical literature and information that is missed with current approaches.
Future Health Challenges: Developing Global Norms for Data and Results Sharin...ExternalEvents
http://www.fao.org/about/meetings/wgs-on-food-safety-management/en/
Future Health Challenges: Developing Global Norms for Data and Results Sharing during Public Health Emergencies. Presentation from the Technical Meeting on the impact of Whole Genome Sequencing (WGS) on food safety management and GMI-9, 23-25 May 2016, Rome, Italy.
From Research to Practice - New Models for Data-sharing and Collaboration to ...Health Data Consortium
Watch the webinar here: http://encore.meetingbridge.com/MB005418/140528/
Webinar transcript: http://hdc.membershipsoftware.org/Files/webinars/HDC-PwC%20NIH%20&%20PCORI%20Webinar%20Transcript%205_28_14.pdf
Patient-Centered Outcomes Research Institute (PCORI) Executive Director Joe Selby, MD, MPH; National Institutes of Health (NIH) Director and PCORI Board of Governors member Francis Collins, MD, PhD; and NIH Associate Director for Data Science Philip Bourne, PhD discussed new and emerging trends in big data for health, including:
- How researchers, patients, clinicians, and others are forging new models for data-sharing.
- Leveraging the quantity, variety, and analytic potential of health-related data for research and practice.
- Addressing patients’ perspectives, needs, and concerns in creating new opportunities for innovation and translational science.
- Exciting initiatives such as PCORnet, the National Patient-Centered Clinical Research Network initiative that PCORI is now helping to develop, and related open data and technology efforts such - as the NIH Health Systems Collaboratory and Big Data to Knowledge (BD2K) initiative.
Discover more health data resources on our website at http://www.healthdataconsortium.org/
The document compares health data collected electronically using a mobile application versus traditional paper records in Rwanda. It finds that the electronically collected data more closely matches growth standards from the WHO and has higher accuracy. Specifically, the electronic data shows a better fit to WHO models, is normally distributed unlike the paper data, and has less than half the percentage of data points failing normality tests compared to the paper records. The results suggest mobile data collection can improve data availability, timeliness, and accuracy for community health programs.
Integrating openIMIS in the Undergraduate and Postgraduate Medical CurriculumIris Thiele Isip-Tan
The document discusses integrating the openIMIS health insurance management system into medical education curricula. It provides examples of:
- Courses that teach openIMIS skills and how it relates to clinical practice and health insurance processes
- Expectations that students will be able to use openIMIS, describe its functions, and uphold ethics in medical informatics
- Ways openIMIS data could inform research, health technology decisions, and provider payment models under universal health coverage
The document suggests openIMIS training should not just focus on software navigation, but also use scenarios to discuss privacy, ethics and how openIMIS data relates to broader health issues.
160929 teamscope presentation molecule to businessSMBBV
Teamscope; mHealth, a paradigm shift in clinical reseach. Presentation by Diego Mechaca during 'From Molecule to Business' event by SMB Life Sciences and Health Valley at NovioTechCampus, Nijmegen, The Netherlands on September 29, 2016.
The document discusses using PROC REPORT in SAS to create summary reports from SAS data sets. It provides examples of creating basic reports with columns and definitions, grouping and computing summaries, adding computed columns, and creating percentage bars. It also discusses using ODS tagsets to create interactive reports and surveys, and shows how to link summary reports to detail reports using computed hyperlinks.
Grand Theft Auto: Vice City readme document provides system requirements and installation instructions. It outlines that the game requires Windows 98 or newer, a minimum of 128MB RAM, 32MB video card and at least 915MB of hard disk space. The document provides details on installation, configuration, known issues and extras available for the PC version.
Italian Cultural Heritage Protection Laws: Accessing Digital Collections of A...Angelica Tavella
The document summarizes Italian cultural heritage protection laws and their effects on digital collections. It discusses:
- Laws passed in 2004 requiring permission from the Ministry of Heritage and Cultural Goods (MiBAC) to reproduce cultural goods digitally.
- Case studies of Europeana and Wiki Loves Monuments being unable to include many Italian works due to restrictions.
- An agreement allowing Wiki Loves Monuments Italy in 2011 but only for specified monuments under certain terms.
- Suggestions to limit works strictly protected and allow others under Creative Commons with attribution, to reduce costs while promoting access.
The document discusses inline formatting with ODS markup. It describes built-in functions that can be used for text decoration, unicode characters, and nested formatting. Examples are provided to demonstrate functions for non-breaking spaces, newlines, unicode characters, text decoration with underline, overline and line-through, and combining multiple functions.
Health Sciences Annual Lively Lunch, handouts by Ramune Kubilius, Galter Heal...Charleston Conference
The document summarizes developments in eBooks and health sciences publishing from 2010-2011 that were discussed at the 2011 Charleston Conference Health Sciences Lively Lunch. It provides an overview of speakers and topics including eBook trends, publishing models, and initiatives regarding eBook availability, medical journal archives, and open access. New apps, journals, and resources from organizations like NLM, PLoS, and Elsevier are also mentioned.
This document discusses how web 2.0 tools can be used in healthcare for purposes like staying informed, medical education, collaboration, managing diseases, and sharing data for research. It provides examples of how RSS feeds, podcasts, search tools, and online communities allow medical professionals and the public to access medical information and resources. The document also describes how patients can become "e-patients" by using the internet to gather health information and manage their conditions, and how tools like personal health records and electronic health records fit into the model of "Health 2.0".
Slides of talk "Open Science, Open Data, Science 2.0: What Are They and Why Should Medical Librarians Care?" given at the 2010 annual meeting of the Pacific Northwest Chapter of the Medical Library Association.
PHPartners Meeting: New England Region National Network of Libraries of Medic...Elaine Martin
The document summarizes an update on the PHIA project presented at a meeting on October 2, 2013. The PHIA project aims to identify trusted library resources that are core, useful, and evidence-based to improve public health practice. It involves several state public health departments and their partner libraries. The update discusses the digital library resources available through the project, usage statistics of resources like journals and databases, and plans for training and evaluation.
Digital Access to the World's Literature: A Blueprint to Integrate Evidence w...Elaine Martin
This document outlines a project to provide public health departments with improved access to trusted library resources. It identifies core resources that will be made available through a digital library interface. Partnerships have been established with state public health departments and hospital/academic libraries. Training has been provided to public health workers on literature searching and evidence-based practice. Usage data shows that resources are being utilized, especially journals in key topic areas. The project enhances evidence-based public health practice through improved access to scientific literature and guidelines. Evaluations indicate the resources and training are supporting public health workers' competencies and job functions.
The document summarizes a panel discussion on data sharing featuring the executive directors of PCORI and NIH who discussed their organizations' efforts to build large clinical research networks and promote genomic and clinical data sharing. They addressed challenges around data standards, privacy, and incentivizing data sharing and publication of results. The associate director for data science at NIH then outlined plans to develop a biomedical research data commons to enable discovery and innovation through open data access and analytics tools.
Elaine martinphia -bor presentation-sept 10-2014Elaine Martin
The Public Health Information Access Project (PHIA) aims to improve evidence-based public health practice by providing seamless access to published literature and other resources. PHIA identifies core trusted resources and makes them available through digital libraries for state public health departments. It also subsidizes access to other resources through participating National Network of Libraries of Medicine members. PHIA trains nearly 900 public health professionals and addresses limitations of previous short-term projects by providing sustainable long-term access to resources. Initial feedback indicates the digital libraries help inform policy development, program planning, and grant writing.
Open access publishing and open access data sharing for malaria research and ...BioMedCentral
Prof. Bob Snow, Malaria Public Health & Epidemiology Group, KEMRI-University of Oxford-Wellcome Trust Collaborative Programme speaking at Open Access Africa 2010
2014 CrossRef Annual Meeting Keynote: Ways and Needs to Promote Rapid Data Sh...Crossref
Keynote address: "Ways and Needs to Promote Rapid Data Sharing" by Laurie Goodman of GigaScience.
Data is the base upon which all scientific discoveries are built, and data availability speeds the rate at which discoveries are made. Given that the overall goal for research is to improve human health and our environment, waiting to release data until after the first publication (sometimes taking years) is unacceptable. There are myriad issues that impede researchers from openly, and most importantly, rapidly sharing data, including lack of incentives: no credit, limited funding benefits, and little impact on career advancement; and cultural issues: the fear of being scooped. However, scientific publishers —the communicators of science and a key mechanism by which a researcher’s productivity is measured— can, and should, play a central role in promoting data sharing. Data citation and publication are just some of the ways we can support and encourage researchers who share data. Here, I will provide examples to help make clear the need for publishers to play an active role in this process and provide potential ways to facilitate our ability to promote open and rapid data sharing. This is not easy; but it is essential.
Biomedicine from Stethoscope to ComputerPhilip Bourne
Philip Bourne runs programs at the NIH that support computational and quantitative sciences for biomedical discovery. He discussed his career path from chemistry PhD to his current role leading data science efforts. He is motivated by enabling open data sharing to accelerate cures, harnessing citizen science through games, and realizing the promise of precision medicine through large cohorts and mobile technologies. If successful, precision medicine could lead to more targeted treatments based on an individual's genomic data within a decade.
10 Years Experience in Pioneering Open Access Publishing in Health Informatic...Gunther Eysenbach
- The Journal of Medical Internet Research (JMIR) was the first open access journal in health informatics, established in 1999. It pioneered an innovative open access publishing model and business model.
- JMIR has achieved success as a leading scholarly journal in its field, demonstrating that sustainable open access publishing is possible with creativity and a lean model. It has contributed innovations like article-level metrics and open peer review.
- Open access was a key factor in JMIR's impact and visibility beyond a small readership, advancing knowledge dissemination and uptake in health informatics.
Searching for Clinical Trials using clinicaltrials.gov and specialized search
engines
Rob Camp goes through various online tools and search engines which enable
patients to search for clinical trials. Rob’s background includes serving as
Executive Director of the EATG (European AIDS Treatment Group), the creation
of an HIV organisation in Barcelona, the creation of national groups in Spain
and other countries (organising seminars on how to create organisations in EU
Eastern States, Southern States), leading projects supported by the European
Commission department for Public Health (DG SANCO), working on funding for
NGOs. Rob is currently working half time in the US as liaison between patient
organisations and the FDA, and spends the rest of his time in Europe. Rob
speaks English and Spanish
The document provides tips for researchers on how to effectively communicate their work to health journalists. It discusses who typically covers health news and their educational backgrounds. It also outlines how Reuters Health selects and covers stories, and how other outlets cover stories. The document then provides specific tips for researchers, such as improving press releases, pitching stories by showing context, using social media to develop relationships with reporters, avoiding "disease of the month" topics, and effectively using embargoes. It encourages researchers to get to know the Association of Health Care Journalists for resources and networking.
The document provides information about a research methodology workshop including defining research, the different types of research, and the steps involved in designing and conducting research. It discusses selecting a research topic based on criteria like relevance, feasibility, and ethics. It also covers literature searching strategies, sources for medical information online, and tips for effective internet usage for research purposes.
The document discusses media and bioethics. It notes that media has influenced public policy, research, and personal practice. It also discusses how new media like the internet provides new opportunities for engagement but also new challenges around identifying credible sources. The document advocates for open access to knowledge and discusses how various organizations and funders have adopted open access policies.
The article discusses how public health laboratories are adapting to new technologies for tuberculosis (TB) testing. At a recent conference, participants debated how to best integrate promising new diagnostic methods like whole genome sequencing while maintaining existing effective testing paradigms. Speakers emphasized the need for laboratories to collaborate and provide accurate, cost-effective information, as well as properly interpret new test results in the context of clinical evidence and conventional test results. Emerging technologies are causing laboratories to reevaluate their testing approaches to make the most of new and existing tools for TB diagnosis and treatment.
The document discusses the future of participatory and patient-driven health initiatives. It outlines several emerging models including social media for health, smartphone health apps, personal health records, personalized genomics, crowdsourced health studies, and next-generation participatory approaches. The increasing role of patients and citizens in their own health research and care is driven by new technologies that lower costs and facilitate sharing of data.
Similar to Unlocking Scientific Research: A Confrontation Between Publishers and Federal Mandates (20)
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
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We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
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Dr. Sean Tan, Head of Data Science, Changi Airport Group
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Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
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Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
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Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
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During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
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Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
2. April 8, 2008: The Consolidated
Appropriations Act is passed, which
requires all Scientific and Medical
research funded by the National
Institute of Health to be made freely
available online within 1 year of
publication.
3. How has the NIH
Public Access
mandate effected
publishing policy and
created more
openness of
scientific and
4. But what IS
Public Access?
What is a
National
Institute of
Health?
What does one mean by
“open”?
5. PUBLIC ACCESS:
-Electronic version of peer-reviewed artic
-Within 12 months of original publication
-As long as it is consistent with Copyrigh
OPEN ACCESS:
-Freely and immediately available
online
-Available to read, download, copy,
distribute, print, search, and use data.
6. National Institute of Health
-Agency of the US Department of Health
and Human Services.
-Largest funder of Biomedical and health
related research.
-27 Institutions and Centers
-Funded over $30,000 million of research in
2011.
7. 1.Accessibility:
Having free, immediate,
unrestricted access to
digital materials
2.Responsiveness:
Full, non-commercial rights
to use a work without
restriction other than
requiring attribution to
the author.
The White Album- The Beatles
The Grey Album- DJ Danger Mouse
8. -2 Categories:
Pediatrics- $3,927 million of NIH funding in 2
Biomedical Engineering- $3,303 of NIH
-5 Publishers:
-Wiley-Blackwell, Springer, Elsevier
-Two top Society publishers
-Subjects: 10 Journals
Procedure:
-Quantitative: Data collected from
PubMed Central
-Qualitative: Analysis of publisher’s
Copyright Transfer Agreement and
Open Access Options.
9. % of Articles Available on PubMed Central
0
5
10
15
20
25
2006 2007 2008 2009 2010 2011
%OnPMC
Year
% Available on PMC- Biomedical
Engineering
Biomechanics and
Modeling in
Mechanobiology
Biomedical Materials
Biomaterials
Acta Biomaterials
Journal OF Biomedical
Materials Research
PartA
0
10
20
30
40
50
60
%onPMC
% Available on PMC -Pediatrics
Developmental
Medicine And Child
Neurology
Archives of
Pediatrics
Pediatrics
Journal of
Pediatrics
Journal of
Adolescent Health
10. 23
9
10
12 12
30
27
18
13
12
8
28
11 11
12
11
23
17
14
13 13
11
33
16
13
12
10
11
21
32
19
25
12
66
0
6
8
11
8
32
15
24
13
15
12
14
18
21
11
13
12
27
24
20
14
12 12
0
5
10
15
20
25
30
35
2006 2007 2008 2009 2010 2011
Average Embargo Period (all journals)
Developmental Med. And Child
Neurology(Wiley)
Archives of Pediatrics and Adolescent
Medicine(AMA)
Pediatrics(AAP)
Journal of Pediatrics(Elsevier)
Journal of Adolescent Health(Elsevier)
Biomechanics and Modeling in
Mechanobiology(Springer)
Biomedical Microdevices(Springer)
Biomaterials(Elsevier)
Acta Biomaterials(Elsevier)
JOURNAL OF BIOMEDICAL MATERIALS
RESEARCH PART A (Wiley)
12. Suggestions
-Policy should have a shortened embargo period.
-Commercial Publishers should have Gold Open Access models.
-However Industry, Institutions, and Bureaucracy are hard to sway.
-We as scholars, scientists, and knowledge
producers need to take initiative to make
our works more open.
13. Acknowledgements
Thanks to the great faculty support:
Paul Duguid (mentor)
Margaret Phillips
Michael Eisen
And of course:
The McNair Staff
Jordan Gonzales
The girls…Abiola, Amira, Sarah, Sandrita, and Wanda!
And of course the entire McNair cohort