ºÝºÝߣshows by User: ClinCapture / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: ClinCapture / Mon, 11 Jul 2016 23:20:35 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: ClinCapture eSouce Data for Clinical Trials /slideshow/esouce-data-for-clinical-trials/63928886 esouceinfographic-160711232035
Benefits of eSource versus traditional source ]]>
Benefits of eSource versus traditional source ]]> Mon, 11 Jul 2016 23:20:35 GMT /slideshow/esouce-data-for-clinical-trials/63928886 ClinCapture@slideshare.net(ClinCapture) eSouce Data for Clinical Trials ClinCapture Benefits of eSource versus traditional source <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/esouceinfographic-160711232035-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Benefits of eSource versus traditional source
eSouce Data for Clinical Trials from ClinCapture
]]> 357 3 https://cdn.slidesharecdn.com/ss_thumbnails/esouceinfographic-160711232035-thumbnail.jpg?width=120&height=120&fit=bounds infographic Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Clinical Trials in The Cloud /slideshow/clinical-trials-in-the-cloud/63792605 diaposterwithbleeds11-160706212255
Clinical trials in the cloud: cloud types, services, and the ways businesses are using the cloud.]]>
Clinical trials in the cloud: cloud types, services, and the ways businesses are using the cloud.]]> Wed, 06 Jul 2016 21:22:55 GMT /slideshow/clinical-trials-in-the-cloud/63792605 ClinCapture@slideshare.net(ClinCapture) Clinical Trials in The Cloud ClinCapture Clinical trials in the cloud: cloud types, services, and the ways businesses are using the cloud. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/diaposterwithbleeds11-160706212255-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Clinical trials in the cloud: cloud types, services, and the ways businesses are using the cloud.
Clinical Trials in The Cloud from ClinCapture
]]> 245 4 https://cdn.slidesharecdn.com/ss_thumbnails/diaposterwithbleeds11-160706212255-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Infographic: Top 3 Benefits of EDC Adoption /slideshow/infographic-top-3-benefits-of-edc-adoption/63026328 clincapture-infographic-edc-adoption-160613220421
ClinCapture empowers CROs, Pharmaceuticals and Medical Device companies to build their studies themselves, lower their clinical trials costs and streamline their data capture processes. Start creating your study at clincapture.com]]>
ClinCapture empowers CROs, Pharmaceuticals and Medical Device companies to build their studies themselves, lower their clinical trials costs and streamline their data capture processes. Start creating your study at clincapture.com]]> Mon, 13 Jun 2016 22:04:21 GMT /slideshow/infographic-top-3-benefits-of-edc-adoption/63026328 ClinCapture@slideshare.net(ClinCapture) Infographic: Top 3 Benefits of EDC Adoption ClinCapture ClinCapture empowers CROs, Pharmaceuticals and Medical Device companies to build their studies themselves, lower their clinical trials costs and streamline their data capture processes. Start creating your study at clincapture.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/clincapture-infographic-edc-adoption-160613220421-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ClinCapture empowers CROs, Pharmaceuticals and Medical Device companies to build their studies themselves, lower their clinical trials costs and streamline their data capture processes. Start creating your study at clincapture.com
Infographic: Top 3 Benefits of EDC Adoption from ClinCapture
]]> 596 4 https://cdn.slidesharecdn.com/ss_thumbnails/clincapture-infographic-edc-adoption-160613220421-thumbnail.jpg?width=120&height=120&fit=bounds infographic Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Infographic: EDC System ClinCapture By The Figures /ClinCapture/infographic-ccbythefigures infographic-cc-by-the-figures-160323234359
ClinCapture empowers CROs, Pharmaceuticals and Medical Device companies to build their studies themselves, lower their clinical trials costs and streamline their data capture processes. Start creating your study at clincapture.com]]>
ClinCapture empowers CROs, Pharmaceuticals and Medical Device companies to build their studies themselves, lower their clinical trials costs and streamline their data capture processes. Start creating your study at clincapture.com]]> Wed, 23 Mar 2016 23:43:59 GMT /ClinCapture/infographic-ccbythefigures ClinCapture@slideshare.net(ClinCapture) Infographic: EDC System ClinCapture By The Figures ClinCapture ClinCapture empowers CROs, Pharmaceuticals and Medical Device companies to build their studies themselves, lower their clinical trials costs and streamline their data capture processes. Start creating your study at clincapture.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/infographic-cc-by-the-figures-160323234359-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ClinCapture empowers CROs, Pharmaceuticals and Medical Device companies to build their studies themselves, lower their clinical trials costs and streamline their data capture processes. Start creating your study at clincapture.com
Infographic: EDC System ClinCapture By The Figures from ClinCapture
]]> 182 4 https://cdn.slidesharecdn.com/ss_thumbnails/infographic-cc-by-the-figures-160323234359-thumbnail.jpg?width=120&height=120&fit=bounds infographic Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Clinical Crowdsourcing /slideshow/clinical-crowdsourcing/54282360 infographic2-151022213718-lva1-app6891
Interesting statistics on the trend of crowdsourcing clinical research and development]]>
Interesting statistics on the trend of crowdsourcing clinical research and development]]> Thu, 22 Oct 2015 21:37:17 GMT /slideshow/clinical-crowdsourcing/54282360 ClinCapture@slideshare.net(ClinCapture) Clinical Crowdsourcing ClinCapture Interesting statistics on the trend of crowdsourcing clinical research and development <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/infographic2-151022213718-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Interesting statistics on the trend of crowdsourcing clinical research and development
Clinical Crowdsourcing from ClinCapture
]]> 753 4 https://cdn.slidesharecdn.com/ss_thumbnails/infographic2-151022213718-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 How wearable electronics will change clinical trials /slideshow/how-wearable-electronics-will-change-clinical-trials-54282254/54282254 infographic-151022213239-lva1-app6891
How wearable electronics will change clinical trials]]>
How wearable electronics will change clinical trials]]> Thu, 22 Oct 2015 21:32:39 GMT /slideshow/how-wearable-electronics-will-change-clinical-trials-54282254/54282254 ClinCapture@slideshare.net(ClinCapture) How wearable electronics will change clinical trials ClinCapture How wearable electronics will change clinical trials <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/infographic-151022213239-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> How wearable electronics will change clinical trials
How wearable electronics will change clinical trials from ClinCapture
]]> 274 4 https://cdn.slidesharecdn.com/ss_thumbnails/infographic-151022213239-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 DIA 2015 - EMR/EHR Clinical Data Intergration with EDC Systems /slideshow/dia-2015/49481418 dia-emr-ehr-integration-150616224617-lva1-app6892
It has been a longstanding challenge to integrate patient data from EMRs (Electronic Medical Record systems) with EDC (Electronic Data Capture) systems for clinical studies and trials. Integration between disparate systems can be done in many ways. Any two systems can be integrated given enough time and money. However, if there is to be wide-scale integration between applications used by clinicians at their practice or in the hospital, it requires the formation and use of standards for the structure and content of data as well as the transport of data between two systems. A historic problem has been the lack of EMR adoption, particularly in physician offices. Thankfully, this is improving dramatically, something I will touch on later. There is also a historic problem that Case Report Forms and the databases that contain them in EDC systems are routinely not designed from the start with standardized labels, content or structure. More adoption of the CDISC standards, such as C-DASH (clinical data acquisition standards harmonization) which dictates structure and content, and ODM (operational data model) which is an XML rendering of the CDASH CRFs.. If you take anything away from this talk, please ensure any data capture you do within an EDC system going forward meets the ODM model. Patient matching between systems is important. There is a whole industry for Community and Master Patient Indexes to link records in disparate systems to the same patient. This gets even more complex when the patients are to be kept anonymous or the studies are blinded. Lastly, moving data across systems is a challenge. There are two primary methods – 1) asynchronous file transfer in conjunction with an ETL, or 2) APIs where one system is inquiring in real time into another application for data. The latter is usually regarded as a more robust integration, but without standard APIs these are one off solutions. The former, using ETL, requires the sending and receiving applications be able to communicate]]>
It has been a longstanding challenge to integrate patient data from EMRs (Electronic Medical Record systems) with EDC (Electronic Data Capture) systems for clinical studies and trials. Integration between disparate systems can be done in many ways. Any two systems can be integrated given enough time and money. However, if there is to be wide-scale integration between applications used by clinicians at their practice or in the hospital, it requires the formation and use of standards for the structure and content of data as well as the transport of data between two systems. A historic problem has been the lack of EMR adoption, particularly in physician offices. Thankfully, this is improving dramatically, something I will touch on later. There is also a historic problem that Case Report Forms and the databases that contain them in EDC systems are routinely not designed from the start with standardized labels, content or structure. More adoption of the CDISC standards, such as C-DASH (clinical data acquisition standards harmonization) which dictates structure and content, and ODM (operational data model) which is an XML rendering of the CDASH CRFs.. If you take anything away from this talk, please ensure any data capture you do within an EDC system going forward meets the ODM model. Patient matching between systems is important. There is a whole industry for Community and Master Patient Indexes to link records in disparate systems to the same patient. This gets even more complex when the patients are to be kept anonymous or the studies are blinded. Lastly, moving data across systems is a challenge. There are two primary methods – 1) asynchronous file transfer in conjunction with an ETL, or 2) APIs where one system is inquiring in real time into another application for data. The latter is usually regarded as a more robust integration, but without standard APIs these are one off solutions. The former, using ETL, requires the sending and receiving applications be able to communicate]]> Tue, 16 Jun 2015 22:46:17 GMT /slideshow/dia-2015/49481418 ClinCapture@slideshare.net(ClinCapture) DIA 2015 - EMR/EHR Clinical Data Intergration with EDC Systems ClinCapture It has been a longstanding challenge to integrate patient data from EMRs (Electronic Medical Record systems) with EDC (Electronic Data Capture) systems for clinical studies and trials. Integration between disparate systems can be done in many ways. Any two systems can be integrated given enough time and money. However, if there is to be wide-scale integration between applications used by clinicians at their practice or in the hospital, it requires the formation and use of standards for the structure and content of data as well as the transport of data between two systems. A historic problem has been the lack of EMR adoption, particularly in physician offices. Thankfully, this is improving dramatically, something I will touch on later. There is also a historic problem that Case Report Forms and the databases that contain them in EDC systems are routinely not designed from the start with standardized labels, content or structure. More adoption of the CDISC standards, such as C-DASH (clinical data acquisition standards harmonization) which dictates structure and content, and ODM (operational data model) which is an XML rendering of the CDASH CRFs.. If you take anything away from this talk, please ensure any data capture you do within an EDC system going forward meets the ODM model. Patient matching between systems is important. There is a whole industry for Community and Master Patient Indexes to link records in disparate systems to the same patient. This gets even more complex when the patients are to be kept anonymous or the studies are blinded. Lastly, moving data across systems is a challenge. There are two primary methods – 1) asynchronous file transfer in conjunction with an ETL, or 2) APIs where one system is inquiring in real time into another application for data. The latter is usually regarded as a more robust integration, but without standard APIs these are one off solutions. The former, using ETL, requires the sending and receiving applications be able to communicate <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dia-emr-ehr-integration-150616224617-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> It has been a longstanding challenge to integrate patient data from EMRs (Electronic Medical Record systems) with EDC (Electronic Data Capture) systems for clinical studies and trials. Integration between disparate systems can be done in many ways. Any two systems can be integrated given enough time and money. However, if there is to be wide-scale integration between applications used by clinicians at their practice or in the hospital, it requires the formation and use of standards for the structure and content of data as well as the transport of data between two systems. A historic problem has been the lack of EMR adoption, particularly in physician offices. Thankfully, this is improving dramatically, something I will touch on later. There is also a historic problem that Case Report Forms and the databases that contain them in EDC systems are routinely not designed from the start with standardized labels, content or structure. More adoption of the CDISC standards, such as C-DASH (clinical data acquisition standards harmonization) which dictates structure and content, and ODM (operational data model) which is an XML rendering of the CDASH CRFs.. If you take anything away from this talk, please ensure any data capture you do within an EDC system going forward meets the ODM model. Patient matching between systems is important. There is a whole industry for Community and Master Patient Indexes to link records in disparate systems to the same patient. This gets even more complex when the patients are to be kept anonymous or the studies are blinded. Lastly, moving data across systems is a challenge. There are two primary methods – 1) asynchronous file transfer in conjunction with an ETL, or 2) APIs where one system is inquiring in real time into another application for data. The latter is usually regarded as a more robust integration, but without standard APIs these are one off solutions. The former, using ETL, requires the sending and receiving applications be able to communicate
DIA 2015 - EMR/EHR Clinical Data Intergration with EDC Systems from ClinCapture
]]> 1450 4 https://cdn.slidesharecdn.com/ss_thumbnails/dia-emr-ehr-integration-150616224617-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 EMR and EDC Integration /slideshow/emr-and-edc-integration/44235683 emrandedcintegration-150203182702-conversion-gate01
It has been a longstanding challenge to integrate patient data from EMRs (Electronic Medical Record systems) with EDC (Electronic Data Capture) systems for clinical studies and trials. The challenges include: Low adoption rates of EMRs in physician practices Lack of interoperability tools provided by vendors to extract data from EMRs Lack of standardized payload (content) and method of delivering (transport) from different EMRs to the EDC systems All subjects of clinical studies not being part of the same health system and therefore same EMR Lack of automated methods for identifying the same patient between EMRs and EDC systems Inability to map and translate the EMR data into CRFs (case report forms) of the EDC systems These hurdles have been so high that the task has rarely been attempted in earnest, let alone accomplished in any significant way. That is until recently. How are these challenges being overcome today? What changes have allowed this integration to be to considered and implement today? The answer is: lots!]]>
It has been a longstanding challenge to integrate patient data from EMRs (Electronic Medical Record systems) with EDC (Electronic Data Capture) systems for clinical studies and trials. The challenges include: Low adoption rates of EMRs in physician practices Lack of interoperability tools provided by vendors to extract data from EMRs Lack of standardized payload (content) and method of delivering (transport) from different EMRs to the EDC systems All subjects of clinical studies not being part of the same health system and therefore same EMR Lack of automated methods for identifying the same patient between EMRs and EDC systems Inability to map and translate the EMR data into CRFs (case report forms) of the EDC systems These hurdles have been so high that the task has rarely been attempted in earnest, let alone accomplished in any significant way. That is until recently. How are these challenges being overcome today? What changes have allowed this integration to be to considered and implement today? The answer is: lots!]]> Tue, 03 Feb 2015 18:27:02 GMT /slideshow/emr-and-edc-integration/44235683 ClinCapture@slideshare.net(ClinCapture) EMR and EDC Integration ClinCapture It has been a longstanding challenge to integrate patient data from EMRs (Electronic Medical Record systems) with EDC (Electronic Data Capture) systems for clinical studies and trials. The challenges include: Low adoption rates of EMRs in physician practices Lack of interoperability tools provided by vendors to extract data from EMRs Lack of standardized payload (content) and method of delivering (transport) from different EMRs to the EDC systems All subjects of clinical studies not being part of the same health system and therefore same EMR Lack of automated methods for identifying the same patient between EMRs and EDC systems Inability to map and translate the EMR data into CRFs (case report forms) of the EDC systems These hurdles have been so high that the task has rarely been attempted in earnest, let alone accomplished in any significant way. That is until recently. How are these challenges being overcome today? What changes have allowed this integration to be to considered and implement today? The answer is: lots! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/emrandedcintegration-150203182702-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> It has been a longstanding challenge to integrate patient data from EMRs (Electronic Medical Record systems) with EDC (Electronic Data Capture) systems for clinical studies and trials. The challenges include: Low adoption rates of EMRs in physician practices Lack of interoperability tools provided by vendors to extract data from EMRs Lack of standardized payload (content) and method of delivering (transport) from different EMRs to the EDC systems All subjects of clinical studies not being part of the same health system and therefore same EMR Lack of automated methods for identifying the same patient between EMRs and EDC systems Inability to map and translate the EMR data into CRFs (case report forms) of the EDC systems These hurdles have been so high that the task has rarely been attempted in earnest, let alone accomplished in any significant way. That is until recently. How are these challenges being overcome today? What changes have allowed this integration to be to considered and implement today? The answer is: lots!
EMR and EDC Integration from ClinCapture
]]> 965 3 https://cdn.slidesharecdn.com/ss_thumbnails/emrandedcintegration-150203182702-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 How biotech companies can get started with cloud for clinical trials? /slideshow/how-biotech-company-can-get-started-with-cloud-for-clinical-trials/43719791 howbiotechcompanycangetstartedwithcloudforclinicaltrials-150120174632-conversion-gate01
What is a "Cloud"? - Definition of Cloud Computing - Benefits of Cloud Computing - Clinical Regulations vs. the Cloud - The Cloud in Clinical Trials - Get Started with the Cloud]]>
What is a "Cloud"? - Definition of Cloud Computing - Benefits of Cloud Computing - Clinical Regulations vs. the Cloud - The Cloud in Clinical Trials - Get Started with the Cloud]]> Tue, 20 Jan 2015 17:46:32 GMT /slideshow/how-biotech-company-can-get-started-with-cloud-for-clinical-trials/43719791 ClinCapture@slideshare.net(ClinCapture) How biotech companies can get started with cloud for clinical trials? ClinCapture What is a "Cloud"? - Definition of Cloud Computing - Benefits of Cloud Computing - Clinical Regulations vs. the Cloud - The Cloud in Clinical Trials - Get Started with the Cloud <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howbiotechcompanycangetstartedwithcloudforclinicaltrials-150120174632-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> What is a &quot;Cloud&quot;? - Definition of Cloud Computing - Benefits of Cloud Computing - Clinical Regulations vs. the Cloud - The Cloud in Clinical Trials - Get Started with the Cloud
How biotech companies can get started with cloud for clinical trials? from ClinCapture
]]> 710 1 https://cdn.slidesharecdn.com/ss_thumbnails/howbiotechcompanycangetstartedwithcloudforclinicaltrials-150120174632-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 CDISC Standards Adoption: Winning Strategies for Medical Device Companies /slideshow/cdisc-standards-adoption/33339588 cdiscinterchangepresentationslideshare-140409160354-phpapp01
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]]> Wed, 09 Apr 2014 16:03:54 GMT /slideshow/cdisc-standards-adoption/33339588 ClinCapture@slideshare.net(ClinCapture) CDISC Standards Adoption: Winning Strategies for Medical Device Companies ClinCapture <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cdiscinterchangepresentationslideshare-140409160354-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
CDISC Standards Adoption: Winning Strategies for Medical Device Companies from ClinCapture
]]> 2760 2 https://cdn.slidesharecdn.com/ss_thumbnails/cdiscinterchangepresentationslideshare-140409160354-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-ClinCapture-48x48.jpg?cb=1523452044 ClinCapture is the only validated electronic data capture software, available for free. As a leading cloud-based eClinical software, ClinCapture empowers CROs, Pharmaceuticals and Medical Device companies to build their studies themselves, lower their clinical trials costs and streamline their data capture processes. ClinCapture is headquartered in the Silicon Valley. www.clincapture.com https://cdn.slidesharecdn.com/ss_thumbnails/esouceinfographic-160711232035-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/esouce-data-for-clinical-trials/63928886 eSouce Data for Clinic... https://cdn.slidesharecdn.com/ss_thumbnails/diaposterwithbleeds11-160706212255-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/clinical-trials-in-the-cloud/63792605 Clinical Trials in The... https://cdn.slidesharecdn.com/ss_thumbnails/clincapture-infographic-edc-adoption-160613220421-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/infographic-top-3-benefits-of-edc-adoption/63026328 Infographic: Top 3 Ben...