EMR functionality for clinical research has long been dreamed about, but how close to reality is it actually? This presentation lays out some basic facts about the viability (or lack thereof) of using EMRs for Phase 1-3 clinical trials.
This document presents an overview of the AI applications in life sciences. The presentation highlights various steps in drug development and AI applications. Also, discusses Alzheimer’s disease and obstacles to develop drugs. Finally, presents details of AI in target identification for AD.
This disclaimer informs readers know that the views, thoughts, and opinions expressed in the presentation belong solely to the author, and not to the author’s employer, organization, committee or other group or individual.
Regulatory Concerns When Running Virtual/Paperless Clinical TrialsTarget Health, Inc.
With drug and device manufacturers and the U.S. Food and Drug Administration (FDA) supplying much of the push, so-called paperless clinical trials are gaining momentum. In this eClinical Forum webinar, Dr. Jules Mitchel, President of Target Health, facilitated the discussion on the future landscape and regulatory concerns of paperless clinical trials and clinical trial design incorporating mobile tools.
New Barriers to Patent Enforcement Affect Personalized MedicineClaire Laporte
The Supreme Court and the Federal Circuit have imposed new challenges for companies in diagnostics and personalized medicine. This presentation suggests the kinds of claims that may survive these new rulings.
Dr. Jules Mitchel, President of Target Health, delivered this presentation on the new FDA Guidance on the use of the electronic health record for clinical research at the North American eClinical Forum Autumn Meeting on October 2, 2018.
This document presents an overview of the AI applications in life sciences. The presentation highlights various steps in drug development and AI applications. Also, discusses Alzheimer’s disease and obstacles to develop drugs. Finally, presents details of AI in target identification for AD.
This disclaimer informs readers know that the views, thoughts, and opinions expressed in the presentation belong solely to the author, and not to the author’s employer, organization, committee or other group or individual.
Regulatory Concerns When Running Virtual/Paperless Clinical TrialsTarget Health, Inc.
With drug and device manufacturers and the U.S. Food and Drug Administration (FDA) supplying much of the push, so-called paperless clinical trials are gaining momentum. In this eClinical Forum webinar, Dr. Jules Mitchel, President of Target Health, facilitated the discussion on the future landscape and regulatory concerns of paperless clinical trials and clinical trial design incorporating mobile tools.
New Barriers to Patent Enforcement Affect Personalized MedicineClaire Laporte
The Supreme Court and the Federal Circuit have imposed new challenges for companies in diagnostics and personalized medicine. This presentation suggests the kinds of claims that may survive these new rulings.
Dr. Jules Mitchel, President of Target Health, delivered this presentation on the new FDA Guidance on the use of the electronic health record for clinical research at the North American eClinical Forum Autumn Meeting on October 2, 2018.
From Edge Case to Main Case, Michelle Longmire of Medable_mHealth IsraelLevi Shapiro
Presentation by Michelle Longmire, CEO of Medable, April 20, 2021, for mHealth Israel. During CoVID, as physical access to clinics was limited, Medable enabled patients to continue participating in critical research efforts. Medable Supporting over 100 Studies Across a Diverse Array of Therapeutic Areas. Medable provides a platform for seamless evidence
generation, across the entire patient journey. Connecting patients globally for community, care, and research. Improve patient experience and retention. Reduce site burden. Data Cloud & Platform should be flexible and modular to enable protocol-fit digital. Medable Digitome, for data driven decentralized trials and a new era of understanding patients, therapies, and conditions. Clinical research is a small component of the broader healthcare journey. Enable health data and evidence generation from clinical to commercial, from day one. Continuous health data & evidence from clinical to commercial and beyond. The Digitome can provide a
primary observational protocol that collects large scale baseline data in a framework that enables streamlined recruitment, enrollment, and participation into interventional clinical substudies.
Presentation Alliance of European Life Sciences Law Firms
(Julian Hitchcock and Sofie van der Meulen) on legal aspects of big data in pharma. Topics: privacy, IP, medical devices and IVD.
The purpose of this study was to describe the current deployment of biometric technologies and investigate common place practices. With the increasing use of biometrics in the work place and consumer service arena, the amount of personal biometric data generated each day continues to rise. The focus was to determine what the average enrollee knows about the privacy and security of his or her biometric data and how that data was being protected. To make the determinations, a survey was generated and the results are shown.
Clinicians, Leveraging AI expertise, Understanding the
Regulatory Framework
• Clinical interpretability guiding the adoption of AI-first
differential diagnoses
• Disparity in data literacy affecting the communication of
AI among healthcare scientists
• Regulatory challenges impeding the penetration of AI
into clinical practice - from research to policymakers
Frank J. Rybicki MD, PhD, Professor and Chair, Department
of Radiology, UNIVERSITY OF OTTAWA FACULTY OF
MEDICINE
Q&A: The Internet of Everything in Clinical TrialsCRF Health
The Internet of Everything (IoE) is being applied to more sectors, including clinical trials. IPT asks Rauha Tulkki-Wilke at CRF Health how this is happening and what the effects are.
David Snead on The use of digital pathology in the primary diagnosis of histo...Cirdan
Recent developments in digital pathology enable the rapid scanning of microscope slides at high resolution, making the digitisation of histopathology slides for routine diagnosis purposes feasible. An important initial step in the wider adoption of this technology is the establishment of validation data assessing how effective pathologists are using digital workstations in comparison to conventional light microscopes and glass slides when examining cases for primary diagnosis. I will report on the first study sufficiently powered to demonstrate a statistically valid equivalent (i.e. non-inferior) performance of digital pathology (DP) against standard glass slide (GS) microscopy. This study examined a total of 3,017 cases were included, generating 10,138 slides, which when scanned resulted in a digital archive of 2.45 terabytes. As well as demonstrating non-inferiority of digital in comparison to glass slides the study was useful in establishing rules for slide scanning and identifying areas where digital pathology has limitations and needs to be used with caution.
Finally the presentation covers the impact adopting digital pathology will have on diagnostic laboratories, the economics of these changes and where these changes are most likely to benefit patients.
Presentation that gives an overview of the impact of IT on radiology, including the growing role of biomarkers and artificial intelligence and deep learning on the (future) radiology profession. The shift to precision medicine and personalized care are explained, the reasons for a re-definition of radiology are addressed.
Device Impact on Machine Learning Classifier Accuracy in Detecting Cervical D...Sara Lynn Vehling
Automated visual evaluation (AVE) is a promising technology that uses a machine learning (ML) classifier to predict the likelihood of pathology in a cervical image. AVE is accurate, fast, and inexpensive, and thus it has tremendous potential.
Next generation electronic medical records and search a test implementation i...lucenerevolution
Presented by David Piraino, Chief Imaging Information Officer, Imaging Institute Cleveland Clinic, Cleveland Clinic
& Daniel Palmer, Chief Imaging Information Officer, Imaging Institute Cleveland Clinic, Cleveland Clinic
Most patient specifc medical information is document oriented with varying amounts of associated meta-data. Most of pateint medical information is textual and semi-structured. Electronic Medical Record Systems (EMR) are not optimized to present the textual information to users in the most understandable ways. Present EMRs show information to the user in a reverse time oriented patient specific manner only. This talk discribes the construction and use of Solr search technologies to provide relevant historical information at the point of care while intepreting radiology images.
Radiology reports over a 4 year period were extracted from our Radiology Information System (RIS) and passed through a text processing engine to extract the results, impression, exam description, location, history, and date. Fifteen cases reported during clinical practice were used as test cases to determine if ""similar"" historical cases were found . The results were evaluated by the number of searches that returned any result in less than 3 seconds and the number of cases that illustrated the questioned diagnosis in the top 10 results returned as determined by a bone and joint radiologist. Also methods to better optimize the search results were reviewed.
An average of 7.8 out of the 10 highest rated reports showed a similar case highly related to the present case. The best search showed 10 out of 10 cases that were good examples and the lowest match search showed 2 out of 10 cases that were good examples.The talk will highlight this specific use case and the issues and advances of using Solr search technology in medicine with focus on point of care applications.
Artificial intelligence, such as neural networks, deep learning and predictive analytics, has the potential to transform radiology, by enhancing the productivity of radiologists and helping them to make better diagnoses. This short report from Signify Research presents 5 reasons why artificial intelligence will increasingly be used in radiology in the coming years and concludes with a list of the barriers that will first need to be overcome before mainstream adoption will occur.
Patient handling equipment is an assistive devices allowing the hospitalized patients to transfer to other places who lack the strength to control the body movements. Patient handling equipment’s are specially designed in helping the patients in hospitals, nursing homes and medical centers with some mobility. The equipment’s are cost efficient than retrofitting, assures increased productivity of care givers and ensures patient’s safety.
The Six Highest Performing B2B Blog Post FormatsBarry Feldman
If your B2B blogging goals include earning social media shares and backlinks to boost your search rankings, this infographic lists the size best approaches.
2012 DIA eSource monitor-site-sponsor relationshipEd Seguine
This presentation discusses some of the unique impacts on the clinical trial process for Monitors, Sites, and Sponsors as they adopt electronic source records.
From Edge Case to Main Case, Michelle Longmire of Medable_mHealth IsraelLevi Shapiro
Presentation by Michelle Longmire, CEO of Medable, April 20, 2021, for mHealth Israel. During CoVID, as physical access to clinics was limited, Medable enabled patients to continue participating in critical research efforts. Medable Supporting over 100 Studies Across a Diverse Array of Therapeutic Areas. Medable provides a platform for seamless evidence
generation, across the entire patient journey. Connecting patients globally for community, care, and research. Improve patient experience and retention. Reduce site burden. Data Cloud & Platform should be flexible and modular to enable protocol-fit digital. Medable Digitome, for data driven decentralized trials and a new era of understanding patients, therapies, and conditions. Clinical research is a small component of the broader healthcare journey. Enable health data and evidence generation from clinical to commercial, from day one. Continuous health data & evidence from clinical to commercial and beyond. The Digitome can provide a
primary observational protocol that collects large scale baseline data in a framework that enables streamlined recruitment, enrollment, and participation into interventional clinical substudies.
Presentation Alliance of European Life Sciences Law Firms
(Julian Hitchcock and Sofie van der Meulen) on legal aspects of big data in pharma. Topics: privacy, IP, medical devices and IVD.
The purpose of this study was to describe the current deployment of biometric technologies and investigate common place practices. With the increasing use of biometrics in the work place and consumer service arena, the amount of personal biometric data generated each day continues to rise. The focus was to determine what the average enrollee knows about the privacy and security of his or her biometric data and how that data was being protected. To make the determinations, a survey was generated and the results are shown.
Clinicians, Leveraging AI expertise, Understanding the
Regulatory Framework
• Clinical interpretability guiding the adoption of AI-first
differential diagnoses
• Disparity in data literacy affecting the communication of
AI among healthcare scientists
• Regulatory challenges impeding the penetration of AI
into clinical practice - from research to policymakers
Frank J. Rybicki MD, PhD, Professor and Chair, Department
of Radiology, UNIVERSITY OF OTTAWA FACULTY OF
MEDICINE
Q&A: The Internet of Everything in Clinical TrialsCRF Health
The Internet of Everything (IoE) is being applied to more sectors, including clinical trials. IPT asks Rauha Tulkki-Wilke at CRF Health how this is happening and what the effects are.
David Snead on The use of digital pathology in the primary diagnosis of histo...Cirdan
Recent developments in digital pathology enable the rapid scanning of microscope slides at high resolution, making the digitisation of histopathology slides for routine diagnosis purposes feasible. An important initial step in the wider adoption of this technology is the establishment of validation data assessing how effective pathologists are using digital workstations in comparison to conventional light microscopes and glass slides when examining cases for primary diagnosis. I will report on the first study sufficiently powered to demonstrate a statistically valid equivalent (i.e. non-inferior) performance of digital pathology (DP) against standard glass slide (GS) microscopy. This study examined a total of 3,017 cases were included, generating 10,138 slides, which when scanned resulted in a digital archive of 2.45 terabytes. As well as demonstrating non-inferiority of digital in comparison to glass slides the study was useful in establishing rules for slide scanning and identifying areas where digital pathology has limitations and needs to be used with caution.
Finally the presentation covers the impact adopting digital pathology will have on diagnostic laboratories, the economics of these changes and where these changes are most likely to benefit patients.
Presentation that gives an overview of the impact of IT on radiology, including the growing role of biomarkers and artificial intelligence and deep learning on the (future) radiology profession. The shift to precision medicine and personalized care are explained, the reasons for a re-definition of radiology are addressed.
Device Impact on Machine Learning Classifier Accuracy in Detecting Cervical D...Sara Lynn Vehling
Automated visual evaluation (AVE) is a promising technology that uses a machine learning (ML) classifier to predict the likelihood of pathology in a cervical image. AVE is accurate, fast, and inexpensive, and thus it has tremendous potential.
Next generation electronic medical records and search a test implementation i...lucenerevolution
Presented by David Piraino, Chief Imaging Information Officer, Imaging Institute Cleveland Clinic, Cleveland Clinic
& Daniel Palmer, Chief Imaging Information Officer, Imaging Institute Cleveland Clinic, Cleveland Clinic
Most patient specifc medical information is document oriented with varying amounts of associated meta-data. Most of pateint medical information is textual and semi-structured. Electronic Medical Record Systems (EMR) are not optimized to present the textual information to users in the most understandable ways. Present EMRs show information to the user in a reverse time oriented patient specific manner only. This talk discribes the construction and use of Solr search technologies to provide relevant historical information at the point of care while intepreting radiology images.
Radiology reports over a 4 year period were extracted from our Radiology Information System (RIS) and passed through a text processing engine to extract the results, impression, exam description, location, history, and date. Fifteen cases reported during clinical practice were used as test cases to determine if ""similar"" historical cases were found . The results were evaluated by the number of searches that returned any result in less than 3 seconds and the number of cases that illustrated the questioned diagnosis in the top 10 results returned as determined by a bone and joint radiologist. Also methods to better optimize the search results were reviewed.
An average of 7.8 out of the 10 highest rated reports showed a similar case highly related to the present case. The best search showed 10 out of 10 cases that were good examples and the lowest match search showed 2 out of 10 cases that were good examples.The talk will highlight this specific use case and the issues and advances of using Solr search technology in medicine with focus on point of care applications.
Artificial intelligence, such as neural networks, deep learning and predictive analytics, has the potential to transform radiology, by enhancing the productivity of radiologists and helping them to make better diagnoses. This short report from Signify Research presents 5 reasons why artificial intelligence will increasingly be used in radiology in the coming years and concludes with a list of the barriers that will first need to be overcome before mainstream adoption will occur.
Patient handling equipment is an assistive devices allowing the hospitalized patients to transfer to other places who lack the strength to control the body movements. Patient handling equipment’s are specially designed in helping the patients in hospitals, nursing homes and medical centers with some mobility. The equipment’s are cost efficient than retrofitting, assures increased productivity of care givers and ensures patient’s safety.
The Six Highest Performing B2B Blog Post FormatsBarry Feldman
If your B2B blogging goals include earning social media shares and backlinks to boost your search rankings, this infographic lists the size best approaches.
2012 DIA eSource monitor-site-sponsor relationshipEd Seguine
This presentation discusses some of the unique impacts on the clinical trial process for Monitors, Sites, and Sponsors as they adopt electronic source records.
Two talented graphic recorders joined us at Content Marketing World 2014. See their amazing work on the following pages. Each graphic recording was done on site, with Kelly and Johnine each listening and recording their respective sessions in real time.
The impact of innovation on travel and tourism industries (World Travel Marke...Brian Solis
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Each technological age has been marked by a shift in how the industrial platform enables companies to rethink their business processes and create wealth. In the talk I argue that we are limiting our view of what this next industrial/digital age can offer because of how we read, measure and through that perceive the world (how we cherry pick data). Companies are locked in metrics and quantitative measures, data that can fit into a spreadsheet. And by that they see the digital transformation merely as an efficiency tool to the fossil fuel age. But we need to stretch further…
10 Ways to Win at SlideShare SEO & Presentation OptimizationOneupweb
Thank you, SlideShare, for teaching us that PowerPoint presentations don't have to be a total bore. But in order to tap SlideShare's 60 million global users, you must optimize. Here are 10 quick tips to make your next presentation highly engaging, shareable and well worth the effort.
For more content marketing tips: http://www.oneupweb.com/blog/
No need to wonder how the best on SlideShare do it. The Masters of SlideShare provides storytelling, design, customization and promotion tips from 13 experts of the form. Learn what it takes to master this type of content marketing yourself.
SlideShare now has a player specifically designed for infographics. Upload your infographics now and see them take off! Need advice on creating infographics? This presentation includes tips for producing stand-out infographics. Read more about the new SlideShare infographics player here: http://wp.me/p24NNG-2ay
This infographic was designed by Column Five: http://columnfivemedia.com/
Are you new to SlideShare? Are you looking to fine tune your channel plan? Are you using SlideShare but are looking for ways to enhance what you're doing? How can you use SlideShare for content marketing tactics such as lead generation, calls-to-action to other pieces of your content, or thought leadership? Read more from the CMI team in their latest SlideShare presentation on SlideShare.
Each month, join us as we highlight and discuss hot topics ranging from the future of higher education to wearable technology, best productivity hacks and secrets to hiring top talent. Upload your SlideShares, and share your expertise with the world!
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SlideShares that inform, inspire and educate attract the most views. Beyond that, ideas for what you can upload are limitless. We’ve selected a few popular examples to get your creative juices flowing.
How to Make Awesome SlideShares: Tips & TricksSlideShare
Turbocharge your online presence with SlideShare. We provide the best tips and tricks for succeeding on SlideShare. Get ideas for what to upload, tips for designing your deck and more.
Ontology-Driven Clinical Intelligence: A Path from the Biobank to Cross-Disea...Remedy Informatics
The discovery of clinical insights through effective management and reuse of data requires several conditions to be optimized: Data need to be digital, data need to be structured, and data need to be standardized in terms of metadata and ontology. This presentation describes a bioinformatics system that combines a next-generation biobank management model mapped to applicable international standards and guidelines with a master ontology that controls all input and output and is able to add unique properties to meet the specialized needs of clinicians for cross-disease research.
Christopher Chute, MD, DrPH
Chair, Division of Biomedical Informatics
Mayo Clinic
Presentation “Strategies for the ICD-10 Transition”
Participants will have an understanding of the background and implications of three key areas:
∙ How Meaningful Use standards impact ACO operations and success
∙ What role will the new ICD-10 play in providers understanding their practice and outcomes
∙ What are the future directions in ICD-11 and beyond Meaningful Use Phase 3
How AstraZeneca is Applying AI, Imaging & Data Analytics (AI-Driven Drug Deve...Nick Brown
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DeciBio Perspectives on Pain Points, Unmet Needs, and Disruption in Precision...Andrew Aijian
We conducted interviews with precision medicine KOLs to create a map of the precision medicine stakeholder landscape and identify and understand the unmet needs and pain points within precision medicine, as well as areas and scenarios of potential disruption.
CORD Rare Drug Conference, June 8 - 9, 2022
Opportunities and Challenges for Data Management Real-World Data and Real-World Evidence
• Patient support programs: Sandra Anderson, Innomar Strategies
• AI for Data Management and Enhancement: Aaron Leibtag, Pentavere
• Patient Support and RWE: Laurie Lambert, CADTH
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Sharing thoughts on what makes a Good Regulator of Pharmaceuticals with pharmacy students at the Universities of Minnesota and Iowa. A point of emphasis on "we all are regulators" is explained and three areas for learning - (a) Systems and Integrative Thinking, (b) Argumentation and (c) Behavioral Economics described.
I hope you, the viewers, will also find some value in reviewing these slides. If you are a student and have some questions please feel free to drop me a email (a2zpharmsci@msn.com).
NS1450X - Computerized Systems in Clinical ResearchJudson Chase
I am guest lecturer (paid) at the Boston College William F. Connell School of Nursing (more information at http://www.bc.edu/schools/son/aboutus.html).
Three or four times a year I lecture on the application of Computerized Systems in Clinical Research; this is my course deck from 2014.
Similar to 2012 DIA EMRs for clinical research (20)
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The Tata Group, a titan of Indian industry, is making waves with its advanced talks with Taiwanese chipmakers Powerchip Semiconductor Manufacturing Corporation (PSMC) and UMC Group. The goal? Establishing a cutting-edge semiconductor fabrication unit (fab) in Dholera, Gujarat. This isn’t just any project; it’s a potential game changer for India’s chipmaking aspirations and a boon for investors seeking promising residential projects in dholera sir.
Visit : https://www.avirahi.com/blog/tata-group-dials-taiwan-for-its-chipmaking-ambition-in-gujarats-dholera/
FIA officials brutally tortured innocent and snatched 200 Bitcoins of worth 4...jamalseoexpert1978
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Implicitly or explicitly all competing businesses employ a strategy to select a mix
of marketing resources. Formulating such competitive strategies fundamentally
involves recognizing relationships between elements of the marketing mix (e.g.,
price and product quality), as well as assessing competitive and market conditions
(i.e., industry structure in the language of economics).
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https://www.productmanagementtoday.com/frs/26903918/understanding-user-needs-and-satisfying-them
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2012 DIA EMRs for clinical research
1. EMRs for Clinical Research:
Hype versus Reality
Edward S. Seguine
CEO
Clinical Ink
2. Disclaimer
• The views and opinions expressed in the following PowerPoint
slides are those of the individual presenter and should not be
attributed to Drug Information Association, Inc. (“DIA”), its
directors, officers, employees, volunteers, members, chapters,
councils, Special Interest Area Communities or affiliates, or any
organization with which the presenter is employed or affiliated.
• These PowerPoint slides are the intellectual property of the
individual presenter and are protected under the copyright laws
of the United States of America and other countries. Used by
permission. All rights reserved. Drug Information Association,
Drug Information Association Inc., DIA and DIA logo are
registered trademarks. All other trademarks are the property of
their respective owners.
2
3. Discussion Points
• Industry Metrics
• BMS Operational Perspective
• FDA Regulatory Viewpoint
• Novartis Experience
• Recent Industry Activity
Audience Participation REQUIRED
4. Principle #1
“Everyone is entitled to their
own opinions; but they are not
entitled to their own facts.”
Daniel Patrick Moynihan
4 term US Senator from New York
Poll: EDC has DEFINITELY reduced the total cos...
5. Principle #2
“All opinions are not equal. Some
are a very great deal more robust,
sophisticated and well supported in
logic and argument than others.”
Douglas Adams
Author – “Hitchhikers Guide to the Galaxy”
Poll: EDC has DEFINITELY reduced the total cos...
15. EMRs for “Research”
• Applied Clinical Trials Survey:
71% EHR/EDC will merge within 5 years
February 1, 2007
“The possibility of performing a clinical trial with data
extracted directly from EHRs was highly impractical and
would not likely enter routine use for 15 to 20 years. I
now recognize that I significantly underestimated the
difficulties.”
Paul Bleicher, DIA Global Forum, Dec 2010
17. EMR Certification
Certification Commission for Health
Information Technology (www.cchit.org)
Published EMR functionality standards for
clinical research in 2011
80 Certified EMRs
19. EMR Certification
Certification Commission for Health
Information Technology (www.cchit.org)
Published EMR functionality standards for
clinical research in 2011
80 Certified EMRs
0 for Clinical Research
20. EMR Functionality
Electronic Health Records for Clinical
Research (www.ehrcr.org)
Practical Considerations for Sites using
EHRs Certified for Clinical Research
74 Pages
User Requirements
Functional Profile (IHE, HL7)
21. EMR Functionality
CDASH
Demog, AE, MedHx, ConMed, Physical Exam, Vitals
Use of RFD Profile to exchange data with EDC
Capture Audit Trail
Generate PDFs
Password and LogIn Rules
Backup and Recovery
22. EMR NON-Functionality
HITSP RFD Profile (CAP135)
20 of 37 Requirements DO NOT EXIST
CCHIT Certification
19 or 35 Requirements DO NOT EXIST
HUGE GAPS
23. EMR Data Quality
Comprehensive Literature Review (35 studies)
- Disparity in granularity, format, optional locations, and
structure of data
- Accuracy and Completeness differ for Acute versus
Chronic conditions
- Medication lists particularly error-prone due to
discontinuations
- Lab data the most accurate and complete
- Focus on large academic institutions
1“Electronic
Health Records and the Reliability and Validity of Quality
Measures”, Medical Care Research and Review, February 2010
24. EMR Data Availability
University of Colorado – Childrens Hospital
1,093 CRF data elements; 47% in the EMR
% Available in % of Total
Data Type
EMR Study
Laboratory Tests 100% 18%
Demographics 98% 8%
Medications 74% 9%
Medical History 54% 18%
Trial Diagnostics 21% 19%
Questionairres 0% 28%
1“Electronic
Health Records and the Reliability and Validity of Quality
Measures”, Medical Care Research and Review, February 2010
25. Myth of EMR as eSource
EMRs can’t be “ultimate” eSource goal
– Viable when trial data is standard of care
– Limited data (demographics, labs, MedHx)
– Unaware of protocol specific requirements
– Inflexible systems – access, audit trail
– Discrepancy between CODING and DISEASE
– Twenty years of experience in the UK?
– Business value is reduced monitoring not data exchange
– 65% of sites are stand-alone practices
26. Secondary Use of EMRs
• Preliminary site identification based on patient
pools
• Reporting of Adverse Events
• Impact of inclusion/exclusion criteria on trial
enrollment
BUT, these benefits only accrue IF the EHR
data is captured consistently across
institutions.
Poll: EDC has DEFINITELY reduced the total cos...\r\n\r\nPress F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTE1NzYzOTA5MTkIf you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.
Poll: EDC has DEFINITELY reduced the total cos...\r\n\r\nPress F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTE1NzYzOTA5MTkIf you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.
Poll: EMRs for clinical research in how many years?\r\n\r\nPress F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTE0NDk2MDkzNDAIf you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.
Poll: How much was spent on Phase 1-3 Clinical...\r\n\r\nPress F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTcwNjY5MTAIf you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.
Press F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTcwNjY5MTAIf you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.
Poll: What is the most expensive activity in a...\r\n\r\nPress F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTgwOTYwMzI5OQIf you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.
Poll: EMRs will replace EDC for eSource in:\r\n\r\nPress F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTE5NzU4MTIzNTkIf you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.
Poll: What % of EMRs are certified for Clinica...\r\n\r\nPress F5 or enter presentation mode to view the poll\r\nIn an emergency during your presentation, if the poll isn't showing, navigate to this link in your web browser:\r\nhttp://www.polleverywhere.com/multiple_choice_polls/LTE1MjkwMTAzOTEIf you like, you can use this slide as a template for your own voting slides. You might use a slide like this if you feel your audience would benefit from the picture showing a text message on a phone.