Kymolog

Kymolog

Saga IT
+
+

Related Products

  • Healthee
    13 Ratings
    Visit Website
  • StackAI
    55 Ratings
    Visit Website
  • MarkMagic
    48 Ratings
    Visit Website
  • Seertech
    15 Ratings
    Visit Website
  • Synap
    32 Ratings
    Visit Website
  • Community Phone
    1,597 Ratings
    Visit Website
  • Revaly
    7 Ratings
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • IONOS Cloud GPU Servers
    45,340 Ratings
    Visit Website
  • InEight
    168 Ratings
    Visit Website

About

Plug’n play API to integrate with your diabetes management platform. Personalized therapeutic education. Better insights on BGL fluctuations. Real-time prediction to anticipate risks. Allow for more personalization and better regulation of the system. Handle complex living phases with rapid glucose changes. Telemedicine & retrospective analysis. Decision-support for patients. Hillo is currently working on the next versions of its AI technology, a therapeutic recommendation system to anticipate and prevent hypoglycemia and hyperglycemia, whose CE mark class IIB is planned for 2020, and the new generation of artificial pancreas(AP) for 2021, which will help overcome the main limitations of current AP systems thanks to the ultra-personalization provided by machine learning. The first self-learning artificial intelligence for predicting blood glucose levels to obtain CE mark as a medical device.

About

Kymolog is a medical-device data integration and research platform for hospitals, medical-device makers, and research teams. Its edge agent captures readings from continuous glucose monitors, ECG monitors, pulse oximeters, blood-pressure cuffs, and thermometers, then represents measurements as FHIR R4 Observations with LOINC codes, UCUM units, device identity, and measurement time. Kymolog matches readings to patients and encounters using bed or device assignments and delivers them to a hospital’s existing EHR through FHIR R4 or an HL7 v2 interface engine. The same readings can be retained in a research store with their device and time provenance for clinical research and post-market evidence workflows. The software can run on premises, in a hospital-controlled private cloud, or in a device maker’s cloud; an optional hosted research store receives de-identified readings. Device classes beyond the supplied mappings can be configured.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Healthcare providers and clinical professionals looking for an AI solution to predict blood glucose levels

Audience

Hospitals, device makers (clinical, RWE and post-market teams), hospital and academic researchers, trial sponsors and CROs

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Hillo
France
www.hillo.ai/

Company Information

Saga IT
Founded: 2016
United States
kymolog.com

Alternatives

Alternatives

Altis Labs Nota

Altis Labs Nota

Altis Labs
SpliceCore

SpliceCore

Envisagenics
HealthAPIx

HealthAPIx

Google

Categories

Healthcare AI Supported

Categories

Integrations

MEDITECH Expanse Not Supported
Oracle Health Not Supported
Veradigm EHR Not Supported
eClinicalWorks Not Supported

Integrations

MEDITECH Expanse Supported
Oracle Health Supported
Veradigm EHR Supported
eClinicalWorks Supported
Claim Hillo and update features and information
Claim Hillo and update features and information
Claim Kymolog and update features and information
Claim Kymolog and update features and information