Health Care
From SME Guide
Apelon
http://apelon-dts.sourceforge.net/
The Apelon DTS (Distributed Terminology System) is an integrated set of open source components that provides comprehensive terminology services in distributed application environments. DTS supports national and international data standards, which are a necessary foundation for comparable and interoperable health information, as well as local vocabularies. Typical applications for DTS include clinical data entry, administrative review, problem-list and code-set management, guideline creation, decision support and information retrieval. Among the features:
- DATA NORMALIZATION, matching of text input to standardized terms and concepts via word order analysis, word stemming, spelling correction and term completion
- CODE TRANSLATION, mapping of clinical data to standard coding systems such as ICD-9 and CPT
- CLASS QUERIES, hierarchy interrogation for decision support and outcomes analysis
- SEMANTIC NAVIGATION, browsing of a rich set of hierarchical and non-hierarchical relationships between concepts for improved quality in data entry and information retrieval
- SEMANTIC CLASSIFICATION, creation, management, and comparison of concept extensions which are consistent with formal semantic models such as that used in SNOMED CT
- SUBSETTING, creation of individualized subsets of terminologies using advanced Boolean logic techniques
- WORKFLOW, management and tracking of modeling efforts in large, distributed projects
- LOCALIZATION, addition of local concepts, synonyms, codes, and inter-concept associations to connect local content to standard terminologies
Argus
http://argus.healthopenware.org.au/
Argus is a suite of programs that provides a secure mail-exchange system for the dissemination of documents between health service providers. Argus provides health service providers access to pathology and imaging results, admission and discharge summaries, emergency department notifications and other healthcare related documents in electronic format. Three specific differences exist between Argus and other commercial email applications: argus implements security using PKI, allowing items of a sensitive nature to be transmitted electronically without fear of compromise, argus facilitates the exchange of clinical data by attaching HL7 data to an email message. The raw HL7 data is hidden from the user, being presented instead in a neatly formatted way and it can be configured to automatically trigger pre-defined events when receiving particular types of messages. One such event is the export of attachments in such a way that the clinical data can be imported by pathology software.
Bika
http://www.bikalabs.com/softwarecenter/bika FLOSSMETRICS link: http://melquiades.flossmetrics.org/projects/bika
A LIMS is computer software that is used in the laboratory for the management of samples, laboratory users, instruments, standards and other laboratory functions such as invoicing, plate management, and work flow automation. Bika is built in Plone and Zope, leading web content management combination, enabling laboratories to manage and publish documents such as promotional prices and information on lab procedures, news and events, safety, regulation, HR and training material on-line; the LIMS' authorisation hierarchy applies and information can be directed at its intended audience. Additional project groups can be created to prepare and discuss material in private depositories shared with team members, individuals or bigger groups such as Clients and Research departments. BIKA is ISO 17025 accreditation ready.
caAERS
https://cabig.nci.nih.gov/tools/caAERS
The Cancer Adverse Event Reporting System (caAERS) is an open source software tool that is used to collect, process and report adverse events that occur during clinical trials. This tool supports regulatory compliance and allows local collection, management, and querying of adverse event data, whether routine or serious. 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.
Caisis
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.
Care2X
http://www.care2x.org/ FLOSSMETRICS link: http://melquiades.flossmetrics.org/projects/care2002 FLOSSMETRICS quality evaluation: http://melquiades.flossmetrics.org/projects/care2002/quality
Care2x integrates data, functions and workflows in a healthcare environment. It is currently composed of four major components. Each of these components can also function individually.
- HIS - Hospital/Healthservice Information System
- PM - Practice (GP) management
- CDS - Central Data Server
- HXP - Health Xchange Protocol
CHITS
http://chits.mudfish.info/HomePage
The Community Health Information Tracking System or CHITS (www.chits.info) is an extensible, modular, open source information system for rural health units (initially for the Philippines). It collects existing routine health data from vertical programs in the Field Health Service Information System (FHSIS) and integrates them into a unified, comprehensive computerized information system. Through CHITS, community-based health information is made available not only to public health agencies requiring community level information but also to the community itself which generates the information. It enables the community to use this information for local decision-making and health planning. In addition to software, CHITS also includes structured capability-building programs designed to improve the health information systems within local health centers, regardless of the level of automation. CHITS began in Pasay City and is now in four municipalities around the country with requests for installation from many more.
ClearCanvas
http://www.clearcanvas.ca/dnn/
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.
ePostRx
http://www.anshealth.com/solutions.htm
ePostRx is the industry's first and only open source, enterprise pharmacy solution which allows customers to create unique dispensing work flows for Electronic Scripts, Retail, Chain Retail, Long Term Care, High Volume Mail-Order and Central Fill business models.
FreeB
FreeB is a GPL Medical Bill formating module. It is designed to be used with any EHR system that tracks basic demographics, procedure codes and diagnosis codes. An EHR sends the basic billing data to FreeB using a simple XML-based interface (XML-RPC or SOAP as needed). FreeB then handles the bill formating and bill revision. FreeB has standard templates for X12 837, HFCA 1500 (now the NPI modified CMS-1500) and UB-92 series formats. FreeB is designed so that it can send bills to a printer, to a payers web interface, or to a clearinghouse. FreeB also performs bill revision, as you modify the claim data in order to meet the payor requirements, FreeB keeps track of those changes over time so that you can easily see the progression of the claim over time.
Indivo
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.
LabKey
https://www.labkey.org/project/home/begin.view
LabKey Server is open source software that helps scientists integrate, analyze, and share large, complex datasets. The base platform provides secure, web-based query, reporting, and collaboration services over a wide variety of data sources including relational and file-based. Specific scientific applications are layered on top of these services to meet the data integration challenges of individual labs. It is in use in several labs and universities, like the Fred Hutchinson Cancer Research Center, the center for HIV-AIDS Vaccine Immunology at Duke University, Cedars-Sinai Medical Center, Harvard Partners, University of Washington, University of Michigan and the University of Kentucky. It provides functionality for collaboration, observational studies, proteomics (CPAS), flow cytometry and assays.
MIRTH
http://www.mirthproject.org/ FLOSSMETRICS link: http://melquiades.flossmetrics.org/projects/mirth
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.
O3
The goal of the Open Three (O3) Consortium is to promote an Integrated Healthcare Environment for archiving, transmission, exchange, retrieval and visualization of data, signals, images and reports, in which the three dimensions of the Health Policies - Hospitals, Territory / RHIOs and Home Care / Ambient Assisting Living (AAL)) are linked together. It includes a Data and Picture Archiving and Communication System (DPACS), MARiS (an IHE compliant Department System Scheduler/Order Filler for scheduling and workflow management in radiology department), a radiology workstation, and a data exchange application.
OpenClinica
OpenClinica is a free, open source clinical trial software platform for Electronic Data Capture (EDC) clinical data management in clinical research. The software is web-based and designed to support all types of clinical studies in diverse research settings. From the ground up, OpenClinica is built on leading, independent standards to achieve high levels of interoperability. Its modular architecture and transparent, collaborative development model offer outstanding flexibility while supporting a robust, enterprise-quality solution. The OpenClinica software platform supports:
- Management of numerous, diverse clinical studies through a unified interface
- Clinical data submission, validation, and annotation
- Data filtering and extraction
- Study oversight, auditing, and reporting
It is designed to be HIPAA compliant, and has been used in large scale EDC trials across the world.
OpenMRS
OpenMRS is an application which enables design of a customized medical records system with no programming knowledge (although medical and systems analysis knowledge is required). It is a common framework upon which medical informatics efforts in developing countries can be built. The system is based on a conceptual table structure which is not dependent on the actual types of medical information required to be collected or on particular data collection forms and so can be customized for different uses. OpenMRS is currently implemented in Kenya, Rwanda, South Africa, Uganda, Tanzania, Zimbabwe, Lesotho, Malawi, Peru, and Haiti. Further implementations are underway in multiple other locations throughout Africa through the work of such groups as the Millenium Villages Project and FACES. Nearly twelve million discrete observations have been collected for nearly 50,000 HIV patients with over 550,000 encounters within the AMPATH implementation in Kenya. The MRC team in South Africa is leading the effort to form an implementers group to aid in further implementations.
Tolven
http://www.tolven.org/index.html FLOSSMETRICS link: http://melquiades.flossmetrics.org/projects/tolven
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.
TrialDB
http://ycmi.med.yale.edu/trialdb/index.shtm
TrialDB is a customizable Web-based clinical trials database system used for the storage and management of clinical data. It relies on a rich data library that contains information about individual data elements (parameters, typically clinical facts about patients) and their higher-order grouping. The library is used to generate case report forms (CRF) as Web pages, and records both information used to interactively validate the contents of the CRF as well as specify how individual elements in the CRF are presented to the user. The forms support validation of individual elements based on data type, range, and non-empty checks, as well as arbitrarily complex validation across the elements in a form (or across more than one form). They support skip logic, where certain elements are dynamically enabled or disabled based upon the values of previously entered elements. Access to a number of controlled vocabularies (e.g., ICD-10, DSM-IV, the Cerner/Multum Drug Lexicon, the NCI Common Toxicity Criteria) during data entry is also supported. It can manage an arbitrary number of studies, with no limits on the number of patients per study or the number of parameters that are tracked in each study. It does all of this without the need to modify the database structure repeatedly each time you capture parameters for a new clinical domain.
Vista
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.
