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Clinical Mindmap Viewer

FHIR Clinical Mindmap Viewer

Yuri Marx
Docker
IPM
5.0 (1)04 Feb, 2024 346

iris-fhirfy

Using IRIS and LLMs to help developers to convert raw data into FHIR

José Pereira
Docker
Python
IPM
AI
5.0 (1)03 Feb, 2024 713 1

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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Fhir-HepatitisC-Predict

Processing FHIR resources through FHIR SQL BUILDER will predict the probability of suffering from HepatitisC disease

s
shan yue
IPM
ML
ML
0.0 (0)02 Feb, 2024 267 1

Health Harbour

An example of using InterSystems FHIR

A
Alena Krasinskiene
Docker
IPM
5.0 (1)01 Feb, 2024 356 1

ai-query

Our AI-driven eligibility query tool streamlines patient identification by leveraging FHIR data, making it easier to find patients with care gaps and suitable cohorts for clinical trials. It integrates with IRIS, handling requests across diverse data sources, asking clarifying questions, and executi

Olga Verevkina
Docker
AI
5.0 (2)27 Jan, 2024 385

HL7-FHIR-Cohort-Population

HL7 to FHIR Cohort Population

M
Momeena Ali
5.0 (1)25 Jan, 2024 220

System-Alerts

System Alerts

M
Momeena Ali
5.0 (1)25 Jan, 2024 129

iris-healthtoolkit-service

Convert HL7 to FHIR, CDA to FHIR, FHIR to HL7 as a Service

G
Guillaume Rongier
Docker
IPM
5.0 (3)23 Jan, 2024 1.2k 9

fhirserver-profile-based-validation

A sample of calls (Postman Collection) to demonstrate FHIR Profile-based Validation Requests

N
Netanel Frankel
5.0 (1)11 Dec, 2023 182

InterLang

LangChain meets FHIR for personalized health plans

Z
Zacchaeus Chok
Docker
Python
0.0 (0)27 Nov, 2023 359

fhir-pex

Java Application sending FHIR messages to Kafka topics.

F
Flavio Neubauer
Docker
AI
4.0 (1)26 Nov, 2023 334

workshop-fhir-adapter

Workshop with example of FHIR Adapter

Luis Angel Pérez Ramos
Docker
5.0 (2)12 Oct, 2023 305

Tracking-Patient-Care-Using-FHIR

Example for related exercise on the InterSystems Learning site.

Robert Cemper
Docker
IPM
5.0 (1)04 Oct, 2023 207

FSLog

Internal FHIR Server Log

Ashok Kumar T
Docker
IPM
4.5 (1)24 Sep, 2023 204 12

FHIR-XMLToJSON

Convert FHIR XML to JSON resource message structure

Ashok Kumar T
Docker
IPM
3.5 (1)22 Sep, 2023 344 6

iris-oauth-fhir

Fhir Oauth Sample

G
Guillaume Rongier
Docker
Python
0.0 (0)21 Jul, 2023 201

iris-fhir-generative-ai

An experiment to use generative AI and FHIR

José Pereira
Docker
Python
IPM
AI
0.0 (0)16 Jul, 2023 534 25

FHIR - AI and OpenAPI Chain

Call any FHIR API with natural language input. OpenAI. LangChain

Ikram Shah
Docker
Python
IPM
AI
0.0 (0)07 Jul, 2023 727

iris-fhir-python-strategy

Python hooks on IRIS FHIR Repository/Facade

G
Guillaume Rongier
Docker
Python
0.0 (0)07 Jul, 2023 288

IRIS FHIR Transcribe Summarize Export

OpenAI Transcribe & Summarize. Google Docs & Sheets Integration

Ikram Shah
Docker
Python
IPM
AI
0.0 (0)06 Jul, 2023 550

FHIR Editor

FHIR Editor

Yuri Marx
Docker
5.0 (1)02 Jul, 2023 300

fhir-chatGPT

A Virtual Healthcare chat Assistant

D
Davi Massaru Teixeira Muta
Docker
AI
0.0 (0)01 Jul, 2023 475 125

fhir-profile-validation

Validating FHIR resources against profiles

D
Dmitry Zasypkin
Docker
4.5 (1)30 May, 2023 415

workshop-smart-data-fabric

Learn the main ideas involved in developing a Smart Data Fabric using InterSystems IRIS

A
Alberto Fuentes
Docker
Python
5.0 (1)26 Apr, 2023 262

iris-fhirsqlbuilder

Showcase of the FHIR SQL Builder from IRIS

G
Guillaume Rongier
Docker
Python
5.0 (1)02 Feb, 2023 268

FHIR Interoperability examples

Example of using InterSystems IRIS or HealthShare Health Connect interoperability features for FHIR. Scenarios where forwarding requests and handling responses are required.

A
Alberto Fuentes
Docker
IPM
5.0 (1)17 Jan, 2023 566

FHIRDrop-FHIRBox

A simple production that enables FHIR transaction bundles to be loaded into InterSystems® FHIR® Server via Box and Dropbox.

Ron Sweeney
0.0 (0)17 Jan, 2023 254

Medxnote MT for TrakCare

Connect Microsoft Teams to TrakCare with Medxnote MT Chatbot

N
Niall Rafferty
0.0 (0)17 Jan, 2023 293

Pregnancy Symptoms Tracker

Example of using FHIR to track pregnancy symptoms

José Pereira
Docker
IPM
3.5 (1)08 Dec, 2022 468 18

Dia-Bro-App

To highlight IRIS for Health Integrational capabilities

D
Dzmitry Rabotkin
0.0 (0)04 Dec, 2022 315