Poor glycemic control is associated with a greater risk of miscarriage, NICU admission, operative delivery, and shorter gestational periods. Especially at risk are those with preexisting diabetes, who would benefit from maintaining near-normal glycemia before conception.

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Article
Oliver Wilms · Dec 1 1m read
My First FHIR app

I participated in InterSystems Women’s Health FHIR contest, because I loved the challenge to learn a new-to-me technology. I wanted to develop an app that receives data from a mobile device like my Fitbit or a Smart Watch. I did not get access to such data except when I downloaded a spreadsheet (CSV file) showing my daily steps and sleep data. I saw in iris-fhir-template it imported some patient data to a FHIR server.

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Article
Yuri Marx · Nov 30 14m read
Creating FHIR questionnaires

Intersystems IRIS for Health has excellent support for the FHIR industry standard. The main features are:
1. FHIR Server
2. FHIR Database
3. REST and ObjectScript API for CRUD operations on FHIR resources (patient, questionnaire, vaccines, etc.)

This article demonstrates how to use each of these features, as well as presenting an angular frontend for creating and viewing Quiz-like FHIR resources.

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Hi Community,

The day has arrived — InterSystems FHIR Healthtech Incubator Caelestinus Final Demo Day, November 30, 2022!

We started Caelestinus 8 months ago in March with 22 outstanding teams. Today 15 teams will pitch what they have achieved so far and their message to the market!

I’m pleased to invite everyone to InterSystems FHIR Health Tech incubator Caelestinus Demo Day, which will happen in a hybrid online/offline mode: you can watch pitches online via www.caelestinus.tech starting at 2 p.m. CET or go in-person in IKEM — Institute for Clinical and Experimental Medicine, the largest Czech medical research and clinical hospital.

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Hello everyone, I’m a French student in academical exchange for my fifth year of engineering school and here is my participation in the FHIR for Women's Health contest.

This project is supposed to be seen as the backend of a bigger application. It can be plugged into a Front End app and help you gather information from your patients. It will read your data in local and use a Data Transformation to make it into a FHIR object before sending it to the included local FHIR server.

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