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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.

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Application NameDeveloperMade withRatingLast updatedViewsInstalls

MedTracker

Medication tracking and drug identification

N
Nicolas Camenisch
1.5 (1)21 Sep, 2021 274

Fhirgure

Helping neurodiverse employees at book medical appointments.

J
Joey Koh
0.0 (0)21 Sep, 2021 440

InterSystems Ideas Waiting to be Implemented

RPMShare - Database solution for remote patient monitoring (RPM) datasets of high density vitals

Why 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
by Dmitry Alexeev

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Beez-Woman-Menstrual-Tracker

A one-stop-shop for tracking women's reproductive health

K
Katie Le
ML
ML
0.0 (0)21 Sep, 2021 189

FHIROktaIntegration

Example FHIR application that uses OAuth 2.0 and Okta.

P
Patrick Jamieson
0.0 (0)16 Sep, 2021 543

FHIRDemoWithAPIKey

Simple FHIR application to retrieve patients and observations

P
Patrick Jamieson
0.0 (0)16 Sep, 2021 221

iris-analytics-for-money

IRIS Analytics solution for money (not yet)

O
Oliver Wilms
Docker
IPM
5.0 (1)12 Sep, 2021 246 27

pop-song-analytics

Pop Songs analytics from the last decades

Henry Pereira
Docker
4.5 (1)11 Sep, 2021 296

iris-analytics-datastudio

Google DataStudio connector to InterSystems IRIS Analytics (DeepSee)

Dmitry Maslennikov
4.0 (1)09 Sep, 2021 402

Analytics OKR

This is an analytic app for OKR - Objective and Key Results

Yuri Marx
Docker
IPM
5.0 (1)07 Sep, 2021 299 19

OMNI-Lab

OMNI-Lab is a full featured multi-lab LIMS solution

A
Alex Anderson
0.0 (0)06 Sep, 2021 589

AlertDashboard

Use DeepSee to create a dashboard to show abnormal conditions of Production operation.

J
John Pan
4.0 (2)04 Sep, 2021 371

ERP Plenum

Now have a unified information for managing your business!

J
Jose Sampaio
0.0 (0)02 Sep, 2021 301

integrated-ml-demo

Backend in Python or ObjectScript

G
Guillaume Rongier
Docker
Python
ML
ML
5.0 (1)31 Aug, 2021 780

Export Studio Snippets to VS Code

Tools for Studio to export Studio's Code Snippets to VS Code

J
Jacques Huser
0.0 (0)27 Aug, 2021 487

Example Backup Task

Example useful utilites

Sergey Mikhailenko
Docker
IPM
4.5 (1)24 Aug, 2021 296 7

DataGrip

DataGrip is a multi-engine database environment targeting the specific needs of professional SQL developers.

M
Maksim Sobolevskiy
0.0 (0)23 Aug, 2021 473

Caché Monitor

Works with many of your databases but is specifically optimized for unique InterSystems Caché and InterSystems IRIS features. It combines many tools with a smart sql editor to provide easy access to your databases. Caché Monitor is like a swiss knife for InterSystems Caché \ IRIS, fast and very easy

A
Andreas Schneider
0.0 (0)15 Aug, 2021 1.8k

fhir-openapi-gen

A code base for the processing and formulation of the openapi spec for fhir resources and profiles

C
Cesar Duran
Docker
Python
IPM
3.0 (1)12 Aug, 2021 757 16

Container recipes

Easily run mirrored or sharded InterSystems IRIS clusters.

E
Eduard Lebedyuk
Docker
5.0 (1)10 Aug, 2021 276

XList - for declarative and functional programming

Extended list for ObjectScript with support for declarative and functional programming

M
Mirko Ozekker
4.0 (1)04 Aug, 2021 221

movie

Sample App to IRIS API Patterns

Yuri Marx
Docker
IPM
4.0 (1)03 Aug, 2021 250 27

fhir-integratedml-example

An example on how to use InterSystems IRIS for Health FHIR database to perform ML models througth InterSystems IRIS IntegratedML

José Pereira
Docker
ML
ML
4.8 (3)01 Aug, 2021 938

Google Cloud Platform PubSub Business Hosts

Interoperability components for GCP PubSub

M
Marc Mundt
0.0 (0)22 Jul, 2021 418

appmsw-telestat

Ineroperability manages a Telegram Admin_bot and Informant_bot in providing content.

Sergey Mikhailenko
Docker
IPM
5.0 (1)21 Jul, 2021 350 56

iris_satellite_plantation

Detection of plantations remotely in satellite images.

R
Renato Banzai
Python
0.0 (0)19 Jul, 2021 299

iKnow

The iKnow Natural Language Processing technology was originally developed in Belgium and then acquired by InterSystems in 2010. In February 2020, InterSystems published the technology to open source, expanding the possible use cases for it beyond embedded use from the InterSystems IRIS Data Platform

B
Benjamin De Boe
Python
AI
0.0 (0)05 Jul, 2021 788

GitHubAPI

Github API for InterSystems IRIS

E
Eduard Lebedyuk
Docker
IPM
5.0 (1)29 Jun, 2021 442 204

eap-sql2xlsx

A simple example of using the python openxl library to export a

Sergey Mikhailenko
Docker
IPM
5.0 (1)27 Jun, 2021 336 18

iris-r-gateway-template

Template project to build and use a the R Gateway from IRIS 2021

G
Guillaume Rongier
Docker
ML
ML
5.0 (1)17 Jun, 2021 465

HoleFoods Adaptive Analytics Sample

Easy way to import the HoleFoods Sample into IRIS using an AtScale Sample Bundle

P
Peter Steiwer
0.0 (0)14 Jun, 2021 499