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What is Open mHealth?

Data schemas establish the framework and details of various information types, such as glucose levels in the blood, which directly impacts how software applications handle that data. Frequently, systems need to integrate information from diverse devices or platforms, each offering its own distinct presentation of data. When all data pertinent to a particular measurement, such as blood glucose, conforms to a standardized schema, it significantly enhances the ease of analysis and interpretation, irrespective of its initial source. A unified schema serves as a reliable reference point for documentation, enabling the utilization of data across various contexts. In healthcare, the significance of shared data schemas is amplified due to the complexity and critical nature of health-related information. For example, distinguishing between fasting and non-fasting glucose levels is vital for precise clinical assessments and informed decision-making. This common understanding not only allows healthcare providers to communicate effectively but also fosters collaboration among different specialties to ensure patients receive the best care possible. Ultimately, a cohesive approach to data schemas in healthcare can lead to improved outcomes and more efficient healthcare systems.

What is Kymolog?

Kymolog functions as a holistic platform designed to unify medical device data and promote research, serving a diverse clientele that includes hospitals, medical device manufacturers, and research teams. Its cutting-edge edge agent consolidates data from a range of devices, such as continuous glucose monitors, ECG monitors, pulse oximeters, blood-pressure monitors, and thermometers, converting these metrics into FHIR R4 Observations that encompass crucial elements like LOINC codes, UCUM units, device identifiers, and timestamps. By associating these readings with specific patients and encounters through bed or device assignments, the system efficiently transmits this information to a hospital's existing electronic health record (EHR) system using either FHIR R4 or an HL7 v2 interface engine. Moreover, the collected data can be archived in a specialized research repository, ensuring its device and time provenance is preserved for clinical studies and post-market evidence collection. Kymolog's adaptable architecture enables it to function either on-site, within a hospital-managed private cloud, or through the cloud infrastructure of device manufacturers, and it also provides an optional hosted research store for de-identified data. Users can further customize device classes beyond the standard mappings available on the platform, enhancing its flexibility for a variety of research applications. This wide-ranging adaptability guarantees that Kymolog is well-equipped to address the continuously changing requirements of healthcare data integration and the evolving landscape of research methodologies. The platform’s capacity to evolve alongside technological advancements illustrates its commitment to improving healthcare outcomes through innovative data solutions.

Media

Media

No images available

Integrations Supported

Integrations Supported

MEDITECH Expanse
Oracle Health
Veradigm EHR
eClinicalWorks

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Open mHealth

Company Location

United States

Company Website

www.openmhealth.org

Company Facts

Organization Name

Saga IT

Date Founded

2016

Company Location

United States

Company Website

kymolog.com

Categories and Features

Healthcare Analytics

Not specified

Categories and Features

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