At InterSystems, we deeply appreciate the rapid innovation enabled by open-source development. Our team acknowledges the significant impact of the community's dedication, which has been a driving force behind the evolution of software and data technology.
Application Name | Developer | Made with | Rating | Last updated | Views | Installs |
---|---|---|---|---|---|---|
iris-fhir-clientInterSystems FHIR Client Connect to any Open FHIR Server | IPM | 5.0 (2) | 05 Nov, 2024 | 952 | 35 | |
Test Coverage ToolRun your typical ObjectScript %UnitTest tests and see which lines of your code are executed. Includes Cobertura-style reporting for use in continuous integration tools. | Python IPM | 5.0 (2) | 04 Nov, 2024 | 1.7k | 740 | |
InterSystems Ideas Waiting to be ImplementedRPMShare - Database solution for remote patient monitoring (RPM) datasets of high density vitalsWhy Currently, patient home monitoring is a megatrend, promising to reduce readmission, and emergency visits and globally add years of health. Owing to US 21st Century act and Reimbursement Schedule from Medicare (up to 54 USD per month per patient) US market is flooded with RPM companies (over 100 for sure) providing primary physicians and hospitals the possibility to collect data from patients' homes, including blood pressure, blood sugar, weight, heart rate, and others. Most companies collect and store the data in free formats, creating an "unholy mess" of data, which has a very limited chance to be ever reused. The hospital only gets insights from single patient results as a dashboard concentrating on cases showing vitals going out of normal range. While research by scientific groups and several advanced companies shows that even data of medium accuracy could predict adverse events like heart failure weeks before happening. A project which is able to provide a federated environment for these new types of data, allowing patients and hospitals truly own data, connecting it to classic EHR, and making data readily available for AI/ML, a project like this is poised to conquer the US maket, with other markets following the trend. Who RPM Companies collecting the data will love the solution which will transfer the data from devices using FHIR, provide full security and compliance, and will include a multitude of routine functions for data analysis, and even data representation. They will stop creating hundreds of repositories of similar software code and concentrate on patient success. Hospitals will be able to have their own structured and standardized silos of data, they will have a chance to change RPM providers, and have a history of patient vitals. They will have EHR data and RPM data connected. Dashboards could be integrated into existing EMRs much easier and finally, they will be precious sources of integrated data for research. Patients will be able to reuse their data, have it analyzed by leading health tech companies, and enrich their vitals with even more data from wearables and other devices. Researchers will be able to analyze the data in the same cloud as it is stored, and by anonymizing datasets, with integrated EMR and RPM data, they could potentially assemble unprecedented volumes of data. AI/ML-ready datasets will boost the predictive power of digital health in only a few years from the first implementations of data collection. How HealthShare is already able to store and receive data in FHIR format, minor additions for hl7 standards are to be implemented and accepted by the community. In a way, RPMshare is a mini-version of HealthShare, if designed using an interoperability framework it could even have universal connection standards for existing devices. A secret sauce could be made from the integration of InterSystems solutions in anonymization and the IntegratedML package with RPMshare. To create immediate value and populate cloud service a consortium or partnership with existing RPM companies could be developed, where they will receive benefits of instrumentation and standardization and InterSystems will populate hundreds of thousands of years of observations (assuming companies already have tens of thousands of clients). In simple words, it is an Uber for RPM data. D 6Votes0Comments | ||||||
Git for Shared Development EnvironmentsServer-side Git source control hooks for shared dev environments | IPM | 5.0 (2) | 04 Nov, 2024 | 3.0k | 3.7k | |
DeepSeeWebRenderer for DeepSee Dashboards in Browser with MDX2JSON as a Serverside and JS web-client | Docker IPM | 4.5 (2) | 30 Oct, 2024 | 2.3k | 20.3k | |
IRIS apiPubautomatically publish RESTful API's built with Intersystems IRIS technology, in the simplest and fastest way possible, using the Open API Specification (OAS 3.0) standard | Docker IPM | 4.8 (4) | 29 Oct, 2024 | 1.5k | 452 | |
character-slice-indexIndexing text by characters | Docker IPM | 5.0 (1) | 27 Oct, 2024 | 123 | ||
WebSocketIRIS.jsusing IRIS Native API for Node.js | Docker | 5.0 (1) | 24 Oct, 2024 | 263 | ||
iris-dataset-countriesInterSystems IRIS image and ZPM module with dataset on countries and its population | Docker IPM | 4.2 (3) | 22 Oct, 2024 | 470 | 249 | |
iris-globals-contestapp to use globals to count financial transactions | O | Docker Python IPM | 5.0 (1) | 20 Oct, 2024 | 316 | 22 |
Light-weight-EXCEL-downloadLight weight Excel export over CSP | Docker IPM | 5.0 (1) | 15 Oct, 2024 | 443 | 28 | |
iris-datapipeDataPipe an interoperability framework to ingest data in InterSystems IRIS in a flexible way | A | Docker Python IPM | 5.0 (1) | 15 Oct, 2024 | 422 | 61 |
FHIRValidationTest cases validating FHIR payload against custom FHIR IG on InterSystems IRIS FHIR Server | L | Docker | 0.0 (0) | 10 Oct, 2024 | 43 | |
pxw-lib-sqlA replacement of SQLQuery that helps simplfy complex queries | P | Docker IPM | 4.0 (1) | 10 Oct, 2024 | 62 | |
workshop-llmPython application to demo RAG application using IRIS vector DB | Docker AI | 4.0 (1) | 08 Oct, 2024 | 63 | ||
IRIS-MQTT for ManufacturingFirst-ever IRIS-integrated MQTT Broker - no middleware needed! | A | 0.0 (0) | 08 Oct, 2024 | 30 | ||
IPM in VS CodeManage IPM / ZPM packages on servers directly from VS Code | 0.0 (0) | 07 Oct, 2024 | 119 | |||
pxw-debugLog debug output | P | Docker IPM | 5.0 (1) | 06 Oct, 2024 | 23 | 2 |
ks-iris-libIRIS / IRIS Health utilities library | Docker IPM | 5.0 (1) | 04 Oct, 2024 | 137 | 3 | |
sql-embeddingsSQL-Embedding simplifies creating and using embeddings in query | Docker IPM | 4.8 (2) | 29 Sep, 2024 | 195 | ||
db-management-toolThis project is a web-based database management tool | A | Docker IPM | 3.0 (1) | 29 Sep, 2024 | 150 | |
IRIS MQTT for HealthFirst-ever IRIS-integrated MQTT Broker - no middleware needed! | A | 0.0 (0) | 29 Sep, 2024 | 49 | ||
Intersystems-MonitoringEnable monitoring of IRIS instances via Elastic Discover | Python IPM | 4.5 (3) | 27 Sep, 2024 | 871 | 1.2k | |
apptools-adminThis solution can be installed in earlier versions of Caché and Ensemble (tested 2016.1+). This can be done by importing xml. | Docker IPM | 5.0 (1) | 24 Sep, 2024 | 1.0k | 270 | |
IRIS-API-TemplateThis is a REST template that can send REST messages to productio | S | Docker IPM | 2.5 (1) | 23 Sep, 2024 | 88 | |
VectorSearchOnPatientSimilarityA Patient similarity comparison demo running on IRIS for Health | L | Docker | 4.5 (1) | 23 Sep, 2024 | 48 | |
iris-dev-codeinspectorValidates packages and classes, returning a report with issues. | Docker IPM | 4.0 (1) | 22 Sep, 2024 | 199 | ||
itermTerminal in web with all features of original iris session tool | Python IPM | 5.0 (1) | 22 Sep, 2024 | 260 | 51 | |
iris-api-interface-generatorAn app to generate interfaces to query APIs | A | Docker Python | 5.0 (1) | 22 Sep, 2024 | 65 | |
IOP REST Client FrameworkFramework for creating REST API clients in python with IOP | A | Docker Python IPM | 4.5 (1) | 22 Sep, 2024 | 84 | |
IRIS-Log-MonitorMonitor and display some information,Can be viewed more convenie | s | Docker IPM | 3.0 (1) | 22 Sep, 2024 | 78 | 1 |