19 Application(s) results for #cach%C3%A9
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iris-dev-codeinspector

Validates packages and classes, returning a report with issues.

Rodolfo Moreira
Docker
IPM
4.0 (1)25 Sep, 2024 273

DataAI

http://DataAI.link - Where Data Meets Intelligence!

I
Irina Yaroshevskaya
AI
0.0 (0)03 Aug, 2024 71

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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iris-VectorLab

The application demonstrates the functionality of Vector Search.

Muhammad Waseem
Docker
Python
IPM
AI
5.0 (1)15 May, 2024 293 19

BG-AppealAI

Appeals against insurance company denials

Katsiaryna Shaustruk
Docker
IPM
AI
4.0 (1)15 May, 2024 561 2

CrossECP-IRIS

IRIS ECP Client in Docker to use Caché ECP Server

Robert Cemper
Docker
IPM
5.0 (1)05 Nov, 2023 252 15

CrossECP-Cache

Caché ECP Server in Docker

Robert Cemper
Docker
5.0 (1)05 Nov, 2023 289

IRIS-FlaskBlog

Realworld Application using Flask, SQLAlchemy, and InterSystems IRIS

Muhammad Waseem
Docker
Python
5.0 (1)06 Sep, 2023 292

GraphQL

GraphQL provides a complete and understandable description of the data in your API, gives clients the power to ask for exactly what they need and nothing more, makes it easier to evolve APIs over time, and enables powerful developer tools.

G
Gevorg Arutiunian
Docker
0.0 (0)16 Sep, 2022 686

Community objectscriptQuality

ObjectScript code analysis for community projects

D
Daniel
IPM
4.0 (1)08 Sep, 2022 434

iris-history-monitor

IRIS History Monitor - For InterSystems IRIS is now available in Package Manager and using IRIS 2019.4 API and WS

Henrique Dias
Docker
IPM
4.2 (3)15 May, 2022 2.1k 106

Dictionary comparison scheme of cache database

The dictionary comparison of the data collected in the cache database is carried out, and the dictionary related data cleaning work is quickly completed through the global model, so as to build a unified and correct database for the hospital

W
Weiwei Yang
0.0 (0)27 Feb, 2021 311

objectscriptQuality

Analyze your ObjecScript source code to find bugs and vulnerabilities, obtain detailed Unit Test Coverage, and improves your software process management using your own KPIs, always focused on code quality

D
Daniel
3.0 (1)27 Aug, 2020 535

iris-ci-demo

A demonstration of how IRIS-CI works.

R
Rubens Silva
Docker
3.0 (1)23 Mar, 2020 109

OpenCode

Well, perhaps it's a goal too ambitious to reach 100% but, exploring this idea, and starting with JSON, I've developed a bunch of classes that I thought it was good to share. If you want to test, change, modify or improve the code, or just take a look at it, you can do it. In GitHub repository you c

J
Jose Tomas Salvador
3.5 (1)18 Mar, 2020 296

DSW Reports

Addon for DeepSee Web which provides online reports and PDF emailing reports from InterSystems DeepSee dashboards

S
Semion Makarov
0.0 (0)11 Dec, 2019 210

PHP-module for IRIS

Module has excelence speed because uses c-callin interface for access to DB.

S
Sergey Kamenev
Docker
0.0 (0)23 May, 2019 445

PHP-module for Caché

Module has excelence speed because uses c-callin interface for access to DB.

S
Sergey Kamenev
0.0 (0)23 May, 2019 236

Cache ODBC for Node.js

ODBC Bindings for node.js and Caché

K
Kostiantyn Kovalchuk
Docker
0.0 (0)04 Dec, 2018 544

Design Pattern in Caché Object Script

Examples of design patterns in Caché Object Script.

T
Tiago Ribeiro
3.0 (1)20 Oct, 2018 315