Health Care

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Features:Adverse event (AE) tracking and classification using accepted standards (e.g. CTC 2.0/3.0 and MedDRA 9.0), import of protocol and protocol participant, information and import and export of AE data in common/required formats, automated, rules-based assessment of seriousness and reporting requirements (sponsor-level, institution-level and protocol-level rules), ability to submit electronically to the Adverse Event Expedited Reporting System (AdEERS) of the NCI Cancer Therapy Evaluation Program, maps to vocabularies and coding systems, generates customizable reports and submits to external agencies, including generation of NCI and FDA compliant reports.
Features:Adverse event (AE) tracking and classification using accepted standards (e.g. CTC 2.0/3.0 and MedDRA 9.0), import of protocol and protocol participant, information and import and export of AE data in common/required formats, automated, rules-based assessment of seriousness and reporting requirements (sponsor-level, institution-level and protocol-level rules), ability to submit electronically to the Adverse Event Expedited Reporting System (AdEERS) of the NCI Cancer Therapy Evaluation Program, maps to vocabularies and coding systems, generates customizable reports and submits to external agencies, including generation of NCI and FDA compliant reports.
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[[caAERS|Screenshots]]
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[http://smeguide.conecta.it/index.php/Image:Caaers.png Screenshots]
Caisis is an open-source Web application designed to bridge the gap between clinical research and clinical practice by addressing numerous issues in documentation of patient data. The application was originally designed to track data pertaining to urologic cancer, but now has expanded to track data of other cancers. The project was initiated with the goal of improving data quality and accuracy, while reducing time and effort for clinicians and support staff. Caisis addresses documentation issues by storing key patient data in chronological order. These data are stored in a carefully designed relational database, so that data can be collected once, reviewed at each clinic for modifications or additions, and updated before the patient’s next visit. This avoids the time-consuming and error-prone process of collecting and reentering patient therapies, medications, comorbidities, and histories at each visit. Once in the database, patient histories are summarized by computer algorithms and then printed on clinic forms. Forms that have been approved by the clinic’s billing and compliance group can be used in lieu of a dictation, reducing the time and money spent dictating and transcribing. Of course, the physician still retains the option of dictating, if desired.
Caisis is an open-source Web application designed to bridge the gap between clinical research and clinical practice by addressing numerous issues in documentation of patient data. The application was originally designed to track data pertaining to urologic cancer, but now has expanded to track data of other cancers. The project was initiated with the goal of improving data quality and accuracy, while reducing time and effort for clinicians and support staff. Caisis addresses documentation issues by storing key patient data in chronological order. These data are stored in a carefully designed relational database, so that data can be collected once, reviewed at each clinic for modifications or additions, and updated before the patient’s next visit. This avoids the time-consuming and error-prone process of collecting and reentering patient therapies, medications, comorbidities, and histories at each visit. Once in the database, patient histories are summarized by computer algorithms and then printed on clinic forms. Forms that have been approved by the clinic’s billing and compliance group can be used in lieu of a dictation, reducing the time and money spent dictating and transcribing. Of course, the physician still retains the option of dictating, if desired.
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[[Caisis|Screenshots]]
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[http://smeguide.conecta.it/index.php/Image:Caisis.png Screenshots]
* HXP - Health Xchange Protocol
* HXP - Health Xchange Protocol
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[[Care2X|Screenshots]]
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[http://smeguide.conecta.it/index.php/Image:Care2x.jpg Screenshots]
ClearCanvas is a powerful and simple to use combination of a PACS image server and an image workstation. Among the functionalities: DICOM C-STORE (SCP/SCU) for most currently approved DICOM SOP Classes, DICOM C-STORE (SCP/SCU) support for JPEG Baseline, JPEG Extended, JPEG Lossless, RLE, and JPEG 2000 transfer syntaxes (32-bit OS’s only), # DICOM C-FIND and C-MOVE (SCP) for Patient Root and Study Root query models (all IHE related query fields are supported to the image level), configurable policies for dealing with duplicate images sent to the server, DICOM device management for limiting features remote DICOM devices can access, logical partitioning with shared system resources (i.e. each partition can have its own AE Title and data sent to a partition can only be queried through that partition), powerful rules engine, support for multiple filesystems for online storage including NAS devices, rules based Autorouting, watermark based disk management.  
ClearCanvas is a powerful and simple to use combination of a PACS image server and an image workstation. Among the functionalities: DICOM C-STORE (SCP/SCU) for most currently approved DICOM SOP Classes, DICOM C-STORE (SCP/SCU) support for JPEG Baseline, JPEG Extended, JPEG Lossless, RLE, and JPEG 2000 transfer syntaxes (32-bit OS’s only), # DICOM C-FIND and C-MOVE (SCP) for Patient Root and Study Root query models (all IHE related query fields are supported to the image level), configurable policies for dealing with duplicate images sent to the server, DICOM device management for limiting features remote DICOM devices can access, logical partitioning with shared system resources (i.e. each partition can have its own AE Title and data sent to a partition can only be queried through that partition), powerful rules engine, support for multiple filesystems for online storage including NAS devices, rules based Autorouting, watermark based disk management.  
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[[ClearCanvas|Screenshots]]
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[http://smeguide.conecta.it/index.php/Image:Clearcanvas1.png Screenshots]
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[http://smeguide.conecta.it/index.php/Image:Clearcanvas2.png Screenshots]
Indivo is a personally controlled health record system that enables patients to own complete, secure copies of their medical records. Indivo integrates health information across sites of care and over time. Indivo is built to public standards as an open-source application platform and is actively deployed in real-life settings. Indivo places a strict emphasis on patient control and ownership of medical information and offers the detailed technical infrastructure to provide this control. Indivo stores fully detailed clinical encounter records, taken from either electronic systems, paper reports or patient entry. Indivo's XML-based storage allows for a flexible data model and Indivo developers are working closely with the HITSP process to ensure broad interoperability; also, indivo's multi-level security model provides strong data security. Each record is encrypted, protecting against unauthorized access to servers or backup tapes.
Indivo is a personally controlled health record system that enables patients to own complete, secure copies of their medical records. Indivo integrates health information across sites of care and over time. Indivo is built to public standards as an open-source application platform and is actively deployed in real-life settings. Indivo places a strict emphasis on patient control and ownership of medical information and offers the detailed technical infrastructure to provide this control. Indivo stores fully detailed clinical encounter records, taken from either electronic systems, paper reports or patient entry. Indivo's XML-based storage allows for a flexible data model and Indivo developers are working closely with the HITSP process to ensure broad interoperability; also, indivo's multi-level security model provides strong data security. Each record is encrypted, protecting against unauthorized access to servers or backup tapes.
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[http://smeguide.conecta.it/index.php/Image:Indivo.png Screenshots]
Mirth is an open source cross-platform HL7 interface engine that enables bi-directional sending of HL7 messages between systems and applications over multiple transports. By utilizing an enterprise service bus framework and a channel-based architecture, Mirth allows messages to be filtered, transformed, and routed based on user-defined rules. Creating HL7 interfaces for existing systems becomes easy using the web-based interface and channel creation wizard which associates applications with Mirth engine components. HL7 has established itself as the lingua franca of healthcare information exchange, and in order to integrate your existing services with HL7 systems you must implement an adapter layer to transform messages between your domain and the HL7 world. Mirth makes this step easy by providing the framework for connecting disparate systems with the required protocol adapters and message transformation tools. Mirth uses a channel-based architecture to connect your systems with other HL7 systems. Channels consist of endpoints (both inbound and outbound), filters, and transformers. Multiple filters and a chain of transformers can be associated with a channel. The Mirth web interface allows for reuse of filters and transformers on multiple channels. Endpoints are used to configure connections and their protocol details. Inbound endpoints are used to designate the type of listener to use for incoming messages, such as TCP/IP or a web service. Outbound endpoints are used to designate the destination of outgoing messages, such as an application server, a JMS queue, or a database.  
Mirth is an open source cross-platform HL7 interface engine that enables bi-directional sending of HL7 messages between systems and applications over multiple transports. By utilizing an enterprise service bus framework and a channel-based architecture, Mirth allows messages to be filtered, transformed, and routed based on user-defined rules. Creating HL7 interfaces for existing systems becomes easy using the web-based interface and channel creation wizard which associates applications with Mirth engine components. HL7 has established itself as the lingua franca of healthcare information exchange, and in order to integrate your existing services with HL7 systems you must implement an adapter layer to transform messages between your domain and the HL7 world. Mirth makes this step easy by providing the framework for connecting disparate systems with the required protocol adapters and message transformation tools. Mirth uses a channel-based architecture to connect your systems with other HL7 systems. Channels consist of endpoints (both inbound and outbound), filters, and transformers. Multiple filters and a chain of transformers can be associated with a channel. The Mirth web interface allows for reuse of filters and transformers on multiple channels. Endpoints are used to configure connections and their protocol details. Inbound endpoints are used to designate the type of listener to use for incoming messages, such as TCP/IP or a web service. Outbound endpoints are used to designate the destination of outgoing messages, such as an application server, a JMS queue, or a database.  
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[[Mirth|Screenshots]]
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[http://smeguide.conecta.it/index.php/Image:Mirth.JPG Screenshots]
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[http://smeguide.conecta.it/index.php/Image:Mirth2.JPG Screenshots]
It is designed to be HIPAA compliant, and has been used in large scale EDC trials across the world.
It is designed to be HIPAA compliant, and has been used in large scale EDC trials across the world.
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[[Openclinica|Screenshots]]
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[http://smeguide.conecta.it/index.php/Image:Openclinica.jpg Screenshots]
The tolven software environment is composed of the following components: an electronic Personal Health Record solution (ePHR) that will enable consumers to record and selectively share healthcare information about themselves and their loved ones in a secure manner; an electronic Clinician Health Record solution (eCHR) that enables physicians and other healthcare providers to securely access healthcare information collated from any number of trusted sources relating to an individual patient in a structured and easily accessible way, and an healthcare informatics platform that enables all healthcare data to be stored and accessed via the ePHR and eCHR solutions. The platform is based on industry standard technologies and data models.
The tolven software environment is composed of the following components: an electronic Personal Health Record solution (ePHR) that will enable consumers to record and selectively share healthcare information about themselves and their loved ones in a secure manner; an electronic Clinician Health Record solution (eCHR) that enables physicians and other healthcare providers to securely access healthcare information collated from any number of trusted sources relating to an individual patient in a structured and easily accessible way, and an healthcare informatics platform that enables all healthcare data to be stored and accessed via the ePHR and eCHR solutions. The platform is based on industry standard technologies and data models.
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[[Tolven|Screenshots]]
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[http://smeguide.conecta.it/index.php/Image:Tolven.jpg Screenshots]
VistA is a trusted, proven, and economical electronic health record system. VistA is an enterprise-wide, fully integrated, fully functional information system built around an electronic health record. It is easily customizable and can be configured to fit any type of healthcare organization, from clinics and medical practices to nursing homes and large hospitals. VistA has been named one of the best healthcare information systems in the nation by the Institute of Medicine. Developed by the Department of Veterans Affairs, the VistA healthcare information system has been field-tested for more than twenty years in approximately 1,300 VA sites of care, including more than 160 medical centers and 850 related clinics. The sistem allows for integrated and complete management of all aspects of a modern hospital or care center.
VistA is a trusted, proven, and economical electronic health record system. VistA is an enterprise-wide, fully integrated, fully functional information system built around an electronic health record. It is easily customizable and can be configured to fit any type of healthcare organization, from clinics and medical practices to nursing homes and large hospitals. VistA has been named one of the best healthcare information systems in the nation by the Institute of Medicine. Developed by the Department of Veterans Affairs, the VistA healthcare information system has been field-tested for more than twenty years in approximately 1,300 VA sites of care, including more than 160 medical centers and 850 related clinics. The sistem allows for integrated and complete management of all aspects of a modern hospital or care center.
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[[Vista|Screenshots]]
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[http://smeguide.conecta.it/index.php/Image:Vista1.png Screenshots]
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Revision as of 15:13, 17 October 2008

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