A proposal for interoperable health information exchange with two Esperantos: ICF and LOINC. Presented at the 2010 NAAC ICF Conference: Enhancing our Understanding of the ICF.
ICD Revision 2013 Internal Medicine - DAY2Bedirhan Ustun
ICD Revision Process had a great meeting in Tokyo with the Internal Medicine Topic Advisory Group discussing the latest edits in Cardiology, Endocrinology, Gastroenterology, Hematology, Hepatology, Nephrology, Rheumatology and Respiratory Diseases
The document discusses a presentation on LOINC (Logical Observation Identifiers Names and Codes) given at the 2011 Public Health Informatics conference in Atlanta, GA. The presentation provides an introduction to LOINC and covers topics such as the origins of LOINC, common elements in LOINC terms, LOINC collections like forms and surveys, and domain-specific approaches to mapping standards and terminologies in areas like microbiology. It also discusses LOINC tools and resources for mapping terms and codes.
2011 05 26 - Lab LOINC Tutorial - Chicago - Handout version - fulldvreeman
The document provides information about an upcoming Laboratory LOINC Workshop in Chicago, Illinois. It includes an agenda for the workshop covering topics such as the origins of LOINC, using the RELMA mapping tool, searching and mapping local terms to LOINC codes, and hands-on practice mapping terms. The workshop will be led by Daniel Vreeman from Indiana University and Clem McDonald from the National Library of Medicine.
Public Laboratory LOINC Workshop and Committee Meeting documents the origins and growth of LOINC as a universal standard for clinical observations and laboratory results. It discusses how LOINC provides a common language for information exchange and how its open model has led to widespread international adoption and translations. Large healthcare organizations around the world have implemented LOINC to facilitate interoperability across hundreds of systems.
2009 12 07 - LOINC Introduction and Overviewdvreeman
This document provides an overview and introduction to LOINC (Logical Observation Identifiers Names and Codes). It discusses the origins and growth of LOINC as a universal standard for identifying laboratory and clinical observations. Key points include: LOINC was created in 1994 by Regenstrief Institute to facilitate information exchange; it has over 80,000 codes covering many clinical domains and is used internationally; and adoption has increased steadily with over 800 downloads per month and participation from many organizations globally and within the US.
The document discusses an introduction and tutorial about LOINC® and RELMA® given to the CDC Vocabulary Team Meeting. It provides an overview of the origins and growth of LOINC, which was created in 1994 to serve as a universal standard for identifying clinical observations. It aims to facilitate information exchange. The presentation describes LOINC's role in coding questions like lab test names rather than answers like numeric results. It also reviews the international adoption of LOINC across organizations in many countries.
This document provides an overview of how LOINC (Logical Observation Identifiers Names and Codes) codes can be used with FHIR (Fast Healthcare Interoperability Resources). It discusses how LOINC codes are represented and used in various FHIR resources like Observation, Questionnaire, DiagnosticReport, etc. It also describes how FHIR terminology services can be used to retrieve information about LOINC codes and structures like parts, answer lists, and properties to build value sets. The document demonstrates how LOINC enhances interoperability when clinical data is coded with LOINC and accessible via FHIR.
Registry Participation 101: A Step-by-Step Guide to What You Really Need to K...Wellbe
This document provides an overview of registry participation and collecting patient-reported outcome measures through a registry. It discusses the University of Wisconsin's process for collecting PROs in their orthopedic clinics in two phases: a pilot phase and a full implementation phase. The pilot involved collecting PROs in 6 clinics using Epic and tablet computers. Lessons learned included that an integrated tablet/portal solution and coordinated project management were important. The full implementation will expand PRO collection to all orthopedic locations and improve reporting automation.
ICD Revision 2013 Internal Medicine - DAY2Bedirhan Ustun
ICD Revision Process had a great meeting in Tokyo with the Internal Medicine Topic Advisory Group discussing the latest edits in Cardiology, Endocrinology, Gastroenterology, Hematology, Hepatology, Nephrology, Rheumatology and Respiratory Diseases
The document discusses a presentation on LOINC (Logical Observation Identifiers Names and Codes) given at the 2011 Public Health Informatics conference in Atlanta, GA. The presentation provides an introduction to LOINC and covers topics such as the origins of LOINC, common elements in LOINC terms, LOINC collections like forms and surveys, and domain-specific approaches to mapping standards and terminologies in areas like microbiology. It also discusses LOINC tools and resources for mapping terms and codes.
2011 05 26 - Lab LOINC Tutorial - Chicago - Handout version - fulldvreeman
The document provides information about an upcoming Laboratory LOINC Workshop in Chicago, Illinois. It includes an agenda for the workshop covering topics such as the origins of LOINC, using the RELMA mapping tool, searching and mapping local terms to LOINC codes, and hands-on practice mapping terms. The workshop will be led by Daniel Vreeman from Indiana University and Clem McDonald from the National Library of Medicine.
Public Laboratory LOINC Workshop and Committee Meeting documents the origins and growth of LOINC as a universal standard for clinical observations and laboratory results. It discusses how LOINC provides a common language for information exchange and how its open model has led to widespread international adoption and translations. Large healthcare organizations around the world have implemented LOINC to facilitate interoperability across hundreds of systems.
2009 12 07 - LOINC Introduction and Overviewdvreeman
This document provides an overview and introduction to LOINC (Logical Observation Identifiers Names and Codes). It discusses the origins and growth of LOINC as a universal standard for identifying laboratory and clinical observations. Key points include: LOINC was created in 1994 by Regenstrief Institute to facilitate information exchange; it has over 80,000 codes covering many clinical domains and is used internationally; and adoption has increased steadily with over 800 downloads per month and participation from many organizations globally and within the US.
The document discusses an introduction and tutorial about LOINC® and RELMA® given to the CDC Vocabulary Team Meeting. It provides an overview of the origins and growth of LOINC, which was created in 1994 to serve as a universal standard for identifying clinical observations. It aims to facilitate information exchange. The presentation describes LOINC's role in coding questions like lab test names rather than answers like numeric results. It also reviews the international adoption of LOINC across organizations in many countries.
This document provides an overview of how LOINC (Logical Observation Identifiers Names and Codes) codes can be used with FHIR (Fast Healthcare Interoperability Resources). It discusses how LOINC codes are represented and used in various FHIR resources like Observation, Questionnaire, DiagnosticReport, etc. It also describes how FHIR terminology services can be used to retrieve information about LOINC codes and structures like parts, answer lists, and properties to build value sets. The document demonstrates how LOINC enhances interoperability when clinical data is coded with LOINC and accessible via FHIR.
Registry Participation 101: A Step-by-Step Guide to What You Really Need to K...Wellbe
This document provides an overview of registry participation and collecting patient-reported outcome measures through a registry. It discusses the University of Wisconsin's process for collecting PROs in their orthopedic clinics in two phases: a pilot phase and a full implementation phase. The pilot involved collecting PROs in 6 clinics using Epic and tablet computers. Lessons learned included that an integrated tablet/portal solution and coordinated project management were important. The full implementation will expand PRO collection to all orthopedic locations and improve reporting automation.
This document provides an overview of LOINC (Logical Observation Identifiers Names and Codes) presented by Daniel Vreeman. In 3 sentences: LOINC is a universal standard for identifying health measurements and observations that allows for data exchange between systems. It has over 60,000 codes covering laboratory and clinical observations. The LOINC community is open-source and has over 14,000 members from 145 countries contributing to its ongoing development and adoption worldwide.
2012 02 10 - Vreeman - Possibilities and Implications of ICF-powered Health I...dvreeman
The document discusses the possibilities and implications of using the International Classification of Functioning (ICF) to power health information technology. It describes how incorporating standardized vocabularies like ICF and LOINC into electronic health records could allow for data reuse across settings, clinical decision support, and a more seamless exchange of health information. This would help realize the vision of a healthcare system with coordinated, consumer-centered care enabled by digital tools.
Utility and Added Value of Classifications in Health Information SystemsBedirhan Ustun
Health Information Systems; ICD, ICD11, SNOMED-CT, Use Cases showing benefits of use of classification- terminology systems; avoid and e-tower of Babel; electronic health record, Enhance Patient Care, Decision Support, Safety & Quality
Health Information Standards - Kevin O'Carrollhealthcareisi
The document discusses several projects of the Health Information Directorate at the Health Information and Quality Authority (HIQA) in Ireland, including:
1. The General Practice Messaging Specification (GPMS), which defines a standard for electronic messaging between general practitioners and other healthcare providers.
2. The National Dataset for General Practice Referrals, which defines a standard format for electronic referrals from GPs to hospitals and other care providers.
3. Standards for coding laboratory tests and results, including adopting the Logical Observation Identifiers Names and Codes (LOINC) system for test coding.
Brendan Delany – Chair in Medical Informatics and Decision Making, Imperial...HIMSS UK
The document discusses the EU-funded TRANSFoRm project, which aimed to develop methods and validated architectures to support a learning health system. The project involved 21 partners from 10 EU member states. It sought to enable real-time clinical diagnosis and trials using data from electronic health records. It developed ontologies and standards to maintain meaning across the learning health system. A prototype clinical decision support system integrated into a primary care electronic health record was evaluated in a simulation and found to improve diagnostic accuracy and management without increasing consultation time or test ordering.
Leveraging Text Classification Strategies for Clinical and Public Health Appl...Karin Verspoor
Human-generated text is a critical component of recorded clinical data, yet remains an under-utilised resource in clinical informatics applications due to minimal standards for sharing of unstructured data as well as concerns about patient privacy. Where we can access and analyse clinical text, we find that it provides a hugely valuable resource. In this talk, I will describe two projects where we have used text classification as the basis for addressing a clinical objective: (1) a syndromic surveillance project where the task is the monitoring of health and social media data sources for changes that indicate the onset of disease outbreaks, and (2) the analysis of hospital records to enable retrieval of specific disease cases, for monitoring of the hospital case mix as well as for construction of patient cohorts for clinical research studies. I will end by briefly discussing the huge potential for clinical text analysis to support changing the way modern medicine is practised.
How to Submit Non-Clinical Data to CBER Using SEND : Understanding New FDA Re...MMS Holdings
What You Will Learn
The FDA’s CBER will begin requiring electronic submissions of nonclinical data to be submitted using the 3.1 and 3.1.1 versions of CDISC SENDIG on March 15th, 2023. With these requirements taking effect soon, Sponsors need to understand how to meet the new rules and regulations provided by SEND, as failing to meet them could result in FDA refusal.
In this webinar, a cross-functional team of statistical programmers and regulatory experts will share actionable insights to help study teams prepare for the new requirements.
Attendees will learn how to:
Understand nonclinical study data submissions to CDER and CBER
Differentiate biologics from drug submission in non-clinical studies
Prepare for this change to ensure a successful submission.
Solve the challenges of a SEND package
Ensure compliance with both SEND 3.1 and 3.1.1 for submission of nonclinical data to CDER and CBERHo
Separate SEND IG DART 1.1 from SEND IG
Manage legacy studies and studies that already meet requirements
Differentiate between submission packages
Use the FDA’s data standard catalog, technical conformance guide and controlled terminology
Who Will Benefit from Attending?
Regulatory Affairs and Submissions Professionals
Pharmaceutical Data and Programming Professionals
Nonclinical/Preclinical Development Professionals
Microsoft HDInsight as a Big Data and Interoperability Platform to Drive Poin...DataWorks Summit
Learn how a small team of 3-4 technology and subject matter experts developed an Azure HDInsight solution. The solution captures genomics data for solid tumors, summary data from a third party and various internal sources, and does genomic Clinical Trial matching. This was done strictly using the Azure cloud and interactions with cloud-based Office 365 SharePoint web applications utilizing only batch scripting, Hive, and Sqoop. HD Insights is the data munging layer and SharePoint is the user access layer.
The process was stood up in a 6-8 week period, while doing our day jobs. The business benefit is to enable providers, at the point of care, to suggest clinical trials for oncology patients based on genomic matches (Molecular Tumor Board). This has increased participation rates in clinical trials with the goal to improve the survival rates and quality of life for patients. The success of this project has spread to capturing local home grown registries in data silos to share with other like-minded providers within Levine Cancer Institute.
2011 08 15 - Clinical LOINC Tutorial - Collections - Panels Forms and Assessm...dvreeman
This document summarizes a presentation on using LOINC (Logical Observation Identifiers Names and Codes) to standardize clinical assessments and patient-reported outcomes. It describes how LOINC provides a model for organizing assessments into hierarchical panels and items with specific attributes. A growing number of standardized assessments are available in LOINC, including government forms, clinical screening tools, and patient-reported outcomes. Lessons learned include the need to minimize variation between similar assessments and start from a uniform data model to avoid discrepancies. IP issues also present challenges for widespread adoption.
This document summarizes a presentation on the Logical Observation Identifiers Names and Codes (LOINC) database. It discusses the origins and purpose of LOINC as a universal standard for clinical observations. It also provides details on the growth of LOINC over time, its international adoption and translations into multiple languages. Large health organizations in the US and abroad have implemented LOINC to facilitate interoperability and data exchange.
OMICS Group is committed to making scientific contributions openly accessible. It hosts over 400 peer-reviewed open access journals and organizes over 300 international conferences annually worldwide. The group has over 3 million readers for its journals and a strong editorial board of over 30,000 reviewers to ensure rapid, quality reviews. OMICS Group partners with over 1000 international societies to provide open access to healthcare information. It welcomes high-quality submissions and follows a peer-review process with expert editors and anonymous, unbiased reviews.
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...Barry Smith
Presentation to the Clinical and Research Ethics Seminar, Clinical and Translational Science Center, Buffalo, January 21, 2014
https://immport.niaid.nih.gov/
http://youtu.be/booqxkpvJMg
This investor presentation summarizes Pressure BioSciences' business and technology. PBI develops and sells instruments and consumables for sample preparation using its patented Pressure Cycling Technology platform. Key points include that PBI has over 275 PCT systems installed, has accomplished revenue growth and debt reduction in recent years, and signed a marketing agreement with SCIEX to co-promote its PCT-SWATH technology for mass spectrometry applications. The presentation outlines PBI's technology applications, market opportunities, customer base, and near-term growth drivers including the SCIEX partnership and new product releases.
Building Data Driven Workflows in HIM: More than just an EHRJenniferTen22
You'll gain a deeper understanding of EHR’s data demands and clinical intelligence limitations by understanding how NLP harmonizes clinical information, structured and unstructured.
QPS is a contract research organization that provides discovery, preclinical, and clinical development services including bioanalysis, DMPK, biomarkers, and early phase clinical research. It has facilities in Newark, DE, Taipei, Taiwan, and Springfield, MO that are GLP compliant. QPS supports clients through all phases of drug development with specialized services including bioanalysis, PK/PD analysis, ADME studies, and clinical research.
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.
Professor Sue Hill OBE, Chief Scientific Officer for Englandrightcare
We are excited to introduce the NHS Atlas of Variation in Diagnostic Services, the latest publication in the series of impressive NHS Atlases, which have highlighted variation in the provision of healthcare services.
Diagnostic services are of great importance in the NHS because, when used correctly, they support or rule out potential diagnoses, and underpin the effective and efficient management of patient pathways.
Unwarranted variation in the rates of diagnostic testing is of the utmost relevance to individual patients with the over-use, as well as under-use, of diagnostic tests being potentially serious issues. For example, effective capacity planning in imaging services should enable improved patient access balanced against the need to avoid over-use of interventions that have the potential to cause harm, such as ionising radiation.
Incorporating EBM in Residency TrainingImad Hassan
Here are the key points from the article:
- Handheld ultrasound and BNP testing are useful screening tools for detecting LV dysfunction in dyspneic patients.
- Using both tests together improves diagnostic accuracy compared to using either test alone.
- Point-of-care testing allows for rapid diagnosis and treatment decisions to be made during the ward round or clinic visit.
- Early identification of LV dysfunction can help initiate appropriate therapy and management for heart failure.
- Using evidence-based screening with ultrasound and BNP supports efficient, accurate clinical decision making during ward rounds.
Presentation by Daniel J. Vreeman, PT, DPT, MSc for the AMIA KRS Working Group. Title: LOINC - An Introduction to the Universal Catalog of Laboratory and Clinical Observations.
2012 02 16 - Clinical LOINC Tutorial - Collections - Panels Forms and Assessm...dvreeman
This document summarizes a presentation on using LOINC (Logical Observation Identifiers Names and Codes) to standardize patient assessments. It discusses how LOINC provides a uniform model for representing standardized questions, answers, and panels/forms. The presentation covers the iterative development of LOINC's assessment model over 10 years, current assessment content in LOINC, and lessons learned regarding variation, data modeling, and intellectual property issues.
This document provides an overview of LOINC (Logical Observation Identifiers Names and Codes) presented by Daniel Vreeman. In 3 sentences: LOINC is a universal standard for identifying health measurements and observations that allows for data exchange between systems. It has over 60,000 codes covering laboratory and clinical observations. The LOINC community is open-source and has over 14,000 members from 145 countries contributing to its ongoing development and adoption worldwide.
2012 02 10 - Vreeman - Possibilities and Implications of ICF-powered Health I...dvreeman
The document discusses the possibilities and implications of using the International Classification of Functioning (ICF) to power health information technology. It describes how incorporating standardized vocabularies like ICF and LOINC into electronic health records could allow for data reuse across settings, clinical decision support, and a more seamless exchange of health information. This would help realize the vision of a healthcare system with coordinated, consumer-centered care enabled by digital tools.
Utility and Added Value of Classifications in Health Information SystemsBedirhan Ustun
Health Information Systems; ICD, ICD11, SNOMED-CT, Use Cases showing benefits of use of classification- terminology systems; avoid and e-tower of Babel; electronic health record, Enhance Patient Care, Decision Support, Safety & Quality
Health Information Standards - Kevin O'Carrollhealthcareisi
The document discusses several projects of the Health Information Directorate at the Health Information and Quality Authority (HIQA) in Ireland, including:
1. The General Practice Messaging Specification (GPMS), which defines a standard for electronic messaging between general practitioners and other healthcare providers.
2. The National Dataset for General Practice Referrals, which defines a standard format for electronic referrals from GPs to hospitals and other care providers.
3. Standards for coding laboratory tests and results, including adopting the Logical Observation Identifiers Names and Codes (LOINC) system for test coding.
Brendan Delany – Chair in Medical Informatics and Decision Making, Imperial...HIMSS UK
The document discusses the EU-funded TRANSFoRm project, which aimed to develop methods and validated architectures to support a learning health system. The project involved 21 partners from 10 EU member states. It sought to enable real-time clinical diagnosis and trials using data from electronic health records. It developed ontologies and standards to maintain meaning across the learning health system. A prototype clinical decision support system integrated into a primary care electronic health record was evaluated in a simulation and found to improve diagnostic accuracy and management without increasing consultation time or test ordering.
Leveraging Text Classification Strategies for Clinical and Public Health Appl...Karin Verspoor
Human-generated text is a critical component of recorded clinical data, yet remains an under-utilised resource in clinical informatics applications due to minimal standards for sharing of unstructured data as well as concerns about patient privacy. Where we can access and analyse clinical text, we find that it provides a hugely valuable resource. In this talk, I will describe two projects where we have used text classification as the basis for addressing a clinical objective: (1) a syndromic surveillance project where the task is the monitoring of health and social media data sources for changes that indicate the onset of disease outbreaks, and (2) the analysis of hospital records to enable retrieval of specific disease cases, for monitoring of the hospital case mix as well as for construction of patient cohorts for clinical research studies. I will end by briefly discussing the huge potential for clinical text analysis to support changing the way modern medicine is practised.
How to Submit Non-Clinical Data to CBER Using SEND : Understanding New FDA Re...MMS Holdings
What You Will Learn
The FDA’s CBER will begin requiring electronic submissions of nonclinical data to be submitted using the 3.1 and 3.1.1 versions of CDISC SENDIG on March 15th, 2023. With these requirements taking effect soon, Sponsors need to understand how to meet the new rules and regulations provided by SEND, as failing to meet them could result in FDA refusal.
In this webinar, a cross-functional team of statistical programmers and regulatory experts will share actionable insights to help study teams prepare for the new requirements.
Attendees will learn how to:
Understand nonclinical study data submissions to CDER and CBER
Differentiate biologics from drug submission in non-clinical studies
Prepare for this change to ensure a successful submission.
Solve the challenges of a SEND package
Ensure compliance with both SEND 3.1 and 3.1.1 for submission of nonclinical data to CDER and CBERHo
Separate SEND IG DART 1.1 from SEND IG
Manage legacy studies and studies that already meet requirements
Differentiate between submission packages
Use the FDA’s data standard catalog, technical conformance guide and controlled terminology
Who Will Benefit from Attending?
Regulatory Affairs and Submissions Professionals
Pharmaceutical Data and Programming Professionals
Nonclinical/Preclinical Development Professionals
Microsoft HDInsight as a Big Data and Interoperability Platform to Drive Poin...DataWorks Summit
Learn how a small team of 3-4 technology and subject matter experts developed an Azure HDInsight solution. The solution captures genomics data for solid tumors, summary data from a third party and various internal sources, and does genomic Clinical Trial matching. This was done strictly using the Azure cloud and interactions with cloud-based Office 365 SharePoint web applications utilizing only batch scripting, Hive, and Sqoop. HD Insights is the data munging layer and SharePoint is the user access layer.
The process was stood up in a 6-8 week period, while doing our day jobs. The business benefit is to enable providers, at the point of care, to suggest clinical trials for oncology patients based on genomic matches (Molecular Tumor Board). This has increased participation rates in clinical trials with the goal to improve the survival rates and quality of life for patients. The success of this project has spread to capturing local home grown registries in data silos to share with other like-minded providers within Levine Cancer Institute.
2011 08 15 - Clinical LOINC Tutorial - Collections - Panels Forms and Assessm...dvreeman
This document summarizes a presentation on using LOINC (Logical Observation Identifiers Names and Codes) to standardize clinical assessments and patient-reported outcomes. It describes how LOINC provides a model for organizing assessments into hierarchical panels and items with specific attributes. A growing number of standardized assessments are available in LOINC, including government forms, clinical screening tools, and patient-reported outcomes. Lessons learned include the need to minimize variation between similar assessments and start from a uniform data model to avoid discrepancies. IP issues also present challenges for widespread adoption.
This document summarizes a presentation on the Logical Observation Identifiers Names and Codes (LOINC) database. It discusses the origins and purpose of LOINC as a universal standard for clinical observations. It also provides details on the growth of LOINC over time, its international adoption and translations into multiple languages. Large health organizations in the US and abroad have implemented LOINC to facilitate interoperability and data exchange.
OMICS Group is committed to making scientific contributions openly accessible. It hosts over 400 peer-reviewed open access journals and organizes over 300 international conferences annually worldwide. The group has over 3 million readers for its journals and a strong editorial board of over 30,000 reviewers to ensure rapid, quality reviews. OMICS Group partners with over 1000 international societies to provide open access to healthcare information. It welcomes high-quality submissions and follows a peer-review process with expert editors and anonymous, unbiased reviews.
Clinical trial data wants to be free: Lessons from the ImmPort Immunology Dat...Barry Smith
Presentation to the Clinical and Research Ethics Seminar, Clinical and Translational Science Center, Buffalo, January 21, 2014
https://immport.niaid.nih.gov/
http://youtu.be/booqxkpvJMg
This investor presentation summarizes Pressure BioSciences' business and technology. PBI develops and sells instruments and consumables for sample preparation using its patented Pressure Cycling Technology platform. Key points include that PBI has over 275 PCT systems installed, has accomplished revenue growth and debt reduction in recent years, and signed a marketing agreement with SCIEX to co-promote its PCT-SWATH technology for mass spectrometry applications. The presentation outlines PBI's technology applications, market opportunities, customer base, and near-term growth drivers including the SCIEX partnership and new product releases.
Building Data Driven Workflows in HIM: More than just an EHRJenniferTen22
You'll gain a deeper understanding of EHR’s data demands and clinical intelligence limitations by understanding how NLP harmonizes clinical information, structured and unstructured.
QPS is a contract research organization that provides discovery, preclinical, and clinical development services including bioanalysis, DMPK, biomarkers, and early phase clinical research. It has facilities in Newark, DE, Taipei, Taiwan, and Springfield, MO that are GLP compliant. QPS supports clients through all phases of drug development with specialized services including bioanalysis, PK/PD analysis, ADME studies, and clinical research.
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.
Professor Sue Hill OBE, Chief Scientific Officer for Englandrightcare
We are excited to introduce the NHS Atlas of Variation in Diagnostic Services, the latest publication in the series of impressive NHS Atlases, which have highlighted variation in the provision of healthcare services.
Diagnostic services are of great importance in the NHS because, when used correctly, they support or rule out potential diagnoses, and underpin the effective and efficient management of patient pathways.
Unwarranted variation in the rates of diagnostic testing is of the utmost relevance to individual patients with the over-use, as well as under-use, of diagnostic tests being potentially serious issues. For example, effective capacity planning in imaging services should enable improved patient access balanced against the need to avoid over-use of interventions that have the potential to cause harm, such as ionising radiation.
Incorporating EBM in Residency TrainingImad Hassan
Here are the key points from the article:
- Handheld ultrasound and BNP testing are useful screening tools for detecting LV dysfunction in dyspneic patients.
- Using both tests together improves diagnostic accuracy compared to using either test alone.
- Point-of-care testing allows for rapid diagnosis and treatment decisions to be made during the ward round or clinic visit.
- Early identification of LV dysfunction can help initiate appropriate therapy and management for heart failure.
- Using evidence-based screening with ultrasound and BNP supports efficient, accurate clinical decision making during ward rounds.
Presentation by Daniel J. Vreeman, PT, DPT, MSc for the AMIA KRS Working Group. Title: LOINC - An Introduction to the Universal Catalog of Laboratory and Clinical Observations.
2012 02 16 - Clinical LOINC Tutorial - Collections - Panels Forms and Assessm...dvreeman
This document summarizes a presentation on using LOINC (Logical Observation Identifiers Names and Codes) to standardize patient assessments. It discusses how LOINC provides a uniform model for representing standardized questions, answers, and panels/forms. The presentation covers the iterative development of LOINC's assessment model over 10 years, current assessment content in LOINC, and lessons learned regarding variation, data modeling, and intellectual property issues.
This document discusses the origins and development of the LOINC Clinical Document Ontology (CDO), which provides a standardized terminology for clinical document names. It describes how the CDO was created based on empirical analysis of over 2000 local document names. The CDO uses a multi-axial model with domains like subject matter, role, setting, type of service, and kind of document. Iterative evaluations found the expanded CDO better mapped local names than the original. Ongoing work involves adding new content and harmonizing with other clinical terminologies.
2012 02 11 EHRs - healthcare system chicken soup or rotten eggdvreeman
This document summarizes a presentation on electronic health records (EHRs) given to the CSM 2012 HPA Tech SIG. The presentation covered why EHRs are important, how to select an EHR system, considerations for implementation, and a case study. The presentation discussed how EHRs can help accelerate a vision of coordinated, consumer-centered care by enabling data reuse, clinical decision support, and interoperability between systems through standards. Barriers to EHR adoption include workflow changes and training needs, while success factors include staff participation and data standardization.
2012 02 11 - Informatics Competencies in PT Educationdvreeman
The document proposes a framework for informatics competencies in physical therapy education. It discusses how informatics is addressed in core PT education documents and competencies established in other healthcare professions. The framework proposes competencies in 6 roles: lifelong learner, clinical reasoning, evidence-based practice, electronic health record literacy, advancing the science of PT, and accountability, communication, and education. It emphasizes viewing informatics as a longitudinal theme across the curriculum.
2011 11 16 - Vreeman - Corralling Creativity with Standardsdvreeman
The document summarizes Daniel J. Vreeman's presentation at the 9th Forum on Laboratory Informatics on challenges and successes with community-wide laboratory data exchange using standards. The presentation discusses Indiana Network for Patient Care, which connects over 200 healthcare organizations using Logical Observation Identifiers Names and Codes (LOINC) as the standard terminology to facilitate data sharing and interoperability. It highlights successes in public health surveillance and clinical research enabled by the network, and lessons learned around prioritizing trust and iterating systems based on user needs.
2011 09 10 - Maybe is Not a Wary Word - Vreeman - Exploring Future of PTdvreeman
1. The document discusses the future of physical therapy and the need for physical therapists to be part of collaborative, multidisciplinary healthcare teams with the patient as the focus.
2. It advocates for adopting interoperable electronic health records but acknowledges the complexity, and suggests physical therapy education programs incorporate informatics training.
3. The document envisions a future with complete, longitudinal patient information that follows the consumer across settings to facilitate coordinated, value-based care guided by consumer-centered information tools.
This document summarizes a presentation on the clinical document ontology (CDO) developed by LOINC. It describes the origins and development of having a standardized vocabulary for clinical document names, including empirical analysis of local document names. The presentation reviews the multi-axial model used by LOINC for document names, provides examples, and discusses ongoing evaluation and expansion efforts through collaboration. Future directions include further harmonization of CDO terms and analyzing document content.
The document provides an introduction and overview of LOINC (Logical Observation Identifiers Names and Codes), a universal standard for identifying health measurements, observations, and documents. LOINC codes are organized using a six-axis model and include over 55,000 codes for laboratory tests, clinical observations, surveys, and claims attachments. The document outlines the history, development, and governance of LOINC, as well as examples of how LOINC codes are structured and used in clinical documents and messages.
The document provides an overview of the Regenstrief LOINC Mapping Assistant (RELMA) tool. It discusses RELMA's features for installing the tool, setting preferences, loading local observation files, searching for and mapping local terms to LOINC codes, and proposing new LOINC terms. The goal is to help laboratories map their local test names and codes to standardized LOINC codes to improve data interoperability, comparability and quality.
This document provides an introduction and overview of LOINC (Logical Observation Identifiers Names and Codes). It discusses the origins of LOINC as a universal code system to facilitate exchange of clinical observation data. It describes how LOINC provides codes for questions, while other vocabularies provide codes for answers. The document outlines the growth of LOINC over time, its adoption internationally and in the US, and new areas of content modeling like standardized assessments. It emphasizes that LOINC development is an open, collaborative community effort to standardize clinical observations and questions.
The document provides an introduction and overview of LOINC (Logical Observation Identifiers Names and Codes), including:
- LOINC codes clinical observations and laboratory tests using a six-axis model for consistent naming.
- It has over 55,000 codes covering laboratory tests, clinical observations, surveys, and claims attachments.
- LOINC is maintained by committees and aims to standardize coding of clinical data to facilitate exchange between systems.
This document provides an overview of LOINC codes for diagnostic imaging studies. It discusses the different classes and components of LOINC codes for imaging, including examples for radiology terms, orderable vs observation codes, views and positions, limited vs complete exams, guidance procedures, laterality, and modality subparts. It notes some challenges in coding imaging exams and areas where additional terms need development, such as for PET, interventional radiology, and combination modalities.
This document discusses LOINC's model for standardizing patient assessments and forms. It provides an overview of LOINC's current efforts to represent common health assessments, including various government forms and clinical screening tools. The presentation notes that while these assessments address similar concepts, there is significant variation in how the items are structured between different forms. It recommends starting with LOINC's standardized data model to help address inconsistencies and avoid unnecessary variation. Lessons learned include the high costs of losing comparability and that intellectual property issues pose large challenges for standardization.
The document discusses the origins and ongoing development of a document ontology within LOINC and HL7. It describes how the Clinical Document Ontology (CDO) provides consistent semantics for clinical document names to enable interoperability. The CDO uses a multi-axial model with domains like subject matter, role, setting, type of service, and kind of document. Iterative evaluations have helped expand and refine the CDO. Future work includes further harmonization and expanding the model to new document types.
The LOINC name does not include the instrument used in testing, specific details about the specimen, priority (e.g. STAT), where testing was done, who did the test, test interpretation, or anything else that is not an intrinsic part of the name of the result.
This document provides an overview of LOINC codes for diagnostic imaging studies. It discusses the different classes and components of LOINC codes for imaging, including examples for radiology terms, orderable vs observation codes, views and positions, limited vs complete exams, guidance procedures, laterality, and modality subparts. It notes some challenges in coding imaging exams and areas where additional terms need development, such as for PET, interventional radiology, and combination modalities.
This document discusses standardizing patient assessments in LOINC. It summarizes LOINC's work enhancing its panel model to represent patient assessments, which allows representing individual assessment items, structured answer lists, and item instances within specific assessments. Challenges included variation between similar assessments, starting from paper forms rather than a uniform data model, and intellectual property issues. Ongoing work aims to standardize more assessments in LOINC to improve data sharing.
The document discusses the origins and development of the HL7/LOINC Document Ontology Model. It began with an analysis of over 2000 clinical document names from various healthcare organizations to identify common elements. This led to the creation of a multi-axial model for clinical document names that includes subject matter domain, role, setting, type of service, and kind of document. The model has undergone ongoing evaluation and expansion based on empirical analyses to improve coverage of document names. Future work includes further ontology evolution and refinement.
These lecture slides, by Dr Sidra Arshad, offer a simplified look into the mechanisms involved in the regulation of respiration:
Learning objectives:
1. Describe the organisation of respiratory center
2. Describe the nervous control of inspiration and respiratory rhythm
3. Describe the functions of the dorsal and respiratory groups of neurons
4. Describe the influences of the Pneumotaxic and Apneustic centers
5. Explain the role of Hering-Breur inflation reflex in regulation of inspiration
6. Explain the role of central chemoreceptors in regulation of respiration
7. Explain the role of peripheral chemoreceptors in regulation of respiration
8. Explain the regulation of respiration during exercise
9. Integrate the respiratory regulatory mechanisms
10. Describe the Cheyne-Stokes breathing
Study Resources:
1. Chapter 42, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 36, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 13, Human Physiology by Lauralee Sherwood, 9th edition
Cell Therapy Expansion and Challenges in Autoimmune DiseaseHealth Advances
There is increasing confidence that cell therapies will soon play a role in the treatment of autoimmune disorders, but the extent of this impact remains to be seen. Early readouts on autologous CAR-Ts in lupus are encouraging, but manufacturing and cost limitations are likely to restrict access to highly refractory patients. Allogeneic CAR-Ts have the potential to broaden access to earlier lines of treatment due to their inherent cost benefits, however they will need to demonstrate comparable or improved efficacy to established modalities.
In addition to infrastructure and capacity constraints, CAR-Ts face a very different risk-benefit dynamic in autoimmune compared to oncology, highlighting the need for tolerable therapies with low adverse event risk. CAR-NK and Treg-based therapies are also being developed in certain autoimmune disorders and may demonstrate favorable safety profiles. Several novel non-cell therapies such as bispecific antibodies, nanobodies, and RNAi drugs, may also offer future alternative competitive solutions with variable value propositions.
Widespread adoption of cell therapies will not only require strong efficacy and safety data, but also adapted pricing and access strategies. At oncology-based price points, CAR-Ts are unlikely to achieve broad market access in autoimmune disorders, with eligible patient populations that are potentially orders of magnitude greater than the number of currently addressable cancer patients. Developers have made strides towards reducing cell therapy COGS while improving manufacturing efficiency, but payors will inevitably restrict access until more sustainable pricing is achieved.
Despite these headwinds, industry leaders and investors remain confident that cell therapies are poised to address significant unmet need in patients suffering from autoimmune disorders. However, the extent of this impact on the treatment landscape remains to be seen, as the industry rapidly approaches an inflection point.
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8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptxHolistified Wellness
We’re talking about Vedic Meditation, a form of meditation that has been around for at least 5,000 years. Back then, the people who lived in the Indus Valley, now known as India and Pakistan, practised meditation as a fundamental part of daily life. This knowledge that has given us yoga and Ayurveda, was known as Veda, hence the name Vedic. And though there are some written records, the practice has been passed down verbally from generation to generation.
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In some case, your chronic prostatitis may be related to over-masturbation. Generally, natural medicine Diuretic and Anti-inflammatory Pill can help mee get a cure.
These lecture slides, by Dr Sidra Arshad, offer a quick overview of the physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
7. Discuss the placement and polarity of the leads of electrocardiograph
8. Describe the normal electrocardiograms recorded from the limb leads and explain the physiological basis of the different records that are obtained
9. Define mean electrical vector (axis) of the heart and give the normal range
10. Define the mean QRS vector
11. Describe the axes of leads (hexagonal reference system)
12. Comprehend the vectorial analysis of the normal ECG
13. Determine the mean electrical axis of the ventricular QRS and appreciate the mean axis deviation
14. Explain the concepts of current of injury, J point, and their significance
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
share - Lions, tigers, AI and health misinformation, oh my!.pptxTina Purnat
• Pitfalls and pivots needed to use AI effectively in public health
• Evidence-based strategies to address health misinformation effectively
• Building trust with communities online and offline
• Equipping health professionals to address questions, concerns and health misinformation
• Assessing risk and mitigating harm from adverse health narratives in communities, health workforce and health system
4. Introduction
• Regenstrief’s 35-year history
• Indiana Network for Patient Care
– A working HIE for 15 years
– 200+ source systems
– 10.5 million patients, 3 billion results
– Regenstrief: 3rd party convener
• Regenstrief is the 1st WHO collaborating center in
medical informatics
• A fundamental challenge
– Local systems use idiosyncratic codes
• Vocabulary standards
– Provide the lingua franca of information exchange
6. LOINC Background
• Logical Observation Identifiers Names and Codes
• Organized by Regenstrief Institute in 1994
– Ongoing support from NLM and Regenstrief
• Covers domain of Clinical Observations
– Laboratory Observations (since 1995)
– Clinical Observations (since 1996)
• A universal code system that facilitates
exchange, pooling, and processing of results
7. LOINC’s General Role
• If an observation is a question, and the
observation value an answer:
– LOINC provides codes for the questions {OBR-4, OBX-3}
What is my patient’s hemoglobin level?
718-7:Hemoglobin:MCnc:Pt:Bld:Qn
How fast does my patient usually walk?
41959-8:Walking speed:Vel:1W^mean:^Patient:Qn:Calculated
8. Indiana Network for Patient Care
HL7 v.2.X Message
MSH|^~&|HOSPITAL_A|SAMPLE_HOSPITAL_A|||$YearMonthDay|||||||||||||||
PID|||$patientId$||$patientName$||||||||||||||||||||
PV1|||||||$attendingDoctor$||$consultingDoctor$||||||||
OBR|1|||44249-1^PHQ-9 Quick Depression Assessment Pnl^LN||$requestDate|||||||||
OBX|1|ST|44250-9^Little interest or pleasure in doing thing in last 2W^LN|1|3^More than
half the days^LN|||||||||||||
OBX|2|ST|44255-8^Feeling down, depressed, or hopeless in last 2W^LN|1|2^Several
days|||||||||||||
…
OBX|10|ST|44261-6^PHQ-9 Total Score^LN|1|11|||||||||||||
A
A
10. “Flat” Data Model
Patient_ID Provider_ID Date Height Weight Heart_Rate
1111 77777 2010 04 09 183 cm 90.7 kg 74 bpm
2222 77777 2010 04 09 152 cm 49.9 kg 65 bpm
One record per patient
11. “Stacked” Data Model
Patient_ID Provider_ID Date Observation_Code Observation_Name Value Units
1111 77777 2010 04 09 1234-5 Body Height 183 cm
1111 77777 2010 04 09 2345-6 Body Weight 90.7 kg
1111 77777 2010 04 09 3456-7 Heart Rate 74 bpm
2222 77777 2010 04 09 1234-5 Body Height 152 cm
2222 77777 2010 04 09 2345-6 Body Weight 49.9 kg
2222 77777 2010 04 09 3456-7 Heart Rate 65 bpm
One record per observation
15. A Highly ‘Open Source’ Model
• LOINC (the database) and RELMA (the
mapping program) are available freely
worldwide for nearly any purpose
• Much work is done by volunteers
• Content additions are end-user driven
20. Consolidated Health Informatics
• CHI Goal:
– Adopting interoperability standards for all US federal
health agencies
• Adopted LOINC as standard
– Laboratory result names (2003)
– Laboratory test order names (2006)
– Meds: structured product labeling sections (2006)
– Federally-required patient assessment instruments
with functioning and disability content (2007)
• Same process that adopted ICF as a standard for functioning
and disability domain
21. Other Key US Adoptions
• eLINCS
– Messaging standard for results delivery from LIS to an EHR
• NAACCR
– Volumes II (Data Standards/Dictionary) and V (Path Lab e-Reporting)
• CDISC
– Pharmaceutical research specs
• NCQA/HEDIS
– Used by 90% of US health plans to measure quality
• HITSP
– C80: vital signs, lab results, lab orders, genetic results, other results
– IS92: newborn screening
– C83: Patient assessment instruments (sections, questions, answers)
22. A Proposal for Effective
use of ICF and LOINC
Making complementary strengths productive
23. General Observations
• No computer-interpretable version of ICF
• Links with other vocabularies (UMLS, SNOMED)
don’t address qualified codes
• Several ICF item collections
– Full version, short version, ICF-CY, ICF core sets,
more…
• Challenge: ICF classification blends several
observation question/answer pairs into 1 code
– d410.1302 (changing basic body position) is really 4
“observations”
24. Goals
• Send a person (or population)’s ICF
classification using same machinery as other
health data
– To reach ICF’s goals, you need to share data
• Maximize strengths of each terminology
(minimize duplication of effort)
• Be informed by real world use
– Need some interested parties!
• Facilitate addressing challenges in ICF use
– Relationship to standardized assessments and clinical
measures
25. Original Option 1
• Simplest Approach: One LOINC code
– NNNN-N:Functioning Classification:Imp:^Patient:Pt:Ord:ICF
– Expected “answer” in OBX-5 would be a ICF classification
• Problems with Simplest Approach
– Still have blending of question/answer in OBX-5
– No indications of sets
26. Original Option 2
• Full LOINC Modeling including panels for
ICF Sets
• Example: d420 – Transferring oneself
– N-N:Transferring oneself.Performance:Imp:^Patient:Pt:Ord:ICF
– N-N:Transferring oneself.Capacity:Imp:^Patient:Pt:Ord:ICF
– Expected “answers” in OBX-5 would be the ICF qualifiers
0
–
No
setup
or
physical
help
from
staff
1
–
Setup
help
only
2
–
One
person
physical
assist
3
–
Two+
person
physical
assist
8
–
ADL
acBvity
itself
did
not
occur
during
enBre
7
days
27. Original Option 2
• Problems with this approach
– Labor intensive
• Each ICF component + qualifier combination
would be a different LOINC code (assessing
different attributes)
• Keeping up with sets would be very difficult
– Some modeling challenges (e.g. anatomy)
– Negotiating IP issues
31. HL7 CDA Framework for
Questionnaire Assessments
• Specifies a document package representing the
full assessment “form”
• For each observation/answer, enables
concurrent transmission of:
– Model of Use (LOINC)
• Exact measurement, as on the assessment
– Model of Meaning (SNOMED, ICF) [optional]
• Representation of the conceptual assertion in another
(standard) terminology/classification
– Supporting Clinical Observations (LOINC, SNOMED)
[optional]
• Data from the EHR that supports the assessment decision
32. Proposed ICF Result Package in LOINC
ICF
classificaBon
panel
ICF
collecBon,
populaBon
descriptor,
observaBon
Bme
period,
other
descriptors
of
the
observaBon
period
1 to many
ICF
classificaBon
results
panel
ICF
component,
any
applicable
qualifiers,
fully-‐qualified
ICF
item
0 to many ICF
supporBng
clinical
observaBons
panel
Any
supporBng
clinical
measurements
for
that
ICF
classificaBon
(direct
measures,
assessment
scores,
etc)
33. Example ICF Result Package in LOINC
R/O/C
Example
Answers
NN-‐N
ICF
classifica9on
panel
NN-‐N
ICF
classificaBon
collecBon
R Full
NN-‐N
PopulaBon
descripBon
O Clinic population >65 years
NN-‐N
DuraBon
of
observaBon
period
O Point in time
R
1 to N
NN-‐N
ICF
classifica9on
results
panel
R d450
NN-‐N
ICF
code
stem
O d450.12
NN-‐N
ICF
funcBoning
classificaBon
C 1 – MILD difficulty
NN-‐N
AcBviBes
and
parBcipaBon
performance
qualifier
C 2 – MODERATE difficulty
NN-‐N
AcBviBes
and
parBcipaBon
capacity
without
assistance
qualifier
O
0 to N NN-‐N
ICF
suppor9ng
clinical
observa9ons
panel
59460-‐6
Morse
Fall
Risk
Total
55
0.9 m/sec
4195703
Mean
walking
speed
24H
34. Benefits of Nested Model
• Uses HL7-LOINC messaging framework while minimizing
redundant modeling
• Accommodates ‘meta-data’ about the result package
• Flexes to accommodate large or small sets of ICF codes
• Enables explicit connection between ICF classification
and supporting clinical data
• Accommodates sending alternate identifiers (e.g. UMLS
or SNOMED) for ICF components
• Could also use the ICF classification result panel in
another context
– nested under a regular clinical observation to convey the
higher level interpretation of that result
35. Next Steps
• Looking for collaborators with live
systems that have a need to exchange ICF
classifications electronically
– And want to used established messaging
standards
• Present to Clinical LOINC Committee
7/16/2010
• To infinity and beyond…