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API StatusChangelog
MeandR
By

MeandR

#385in Customer Support
Discussions0
Followers0
OverviewDiscussionsAdoption

What is MeandR?

Choose how far you want to go and how fast. It will work out a route for you to complete and then time how long it takes. You can also choose your own target by tapping on the map and it will work out a route to get you there.

MeandR is a tool in the Customer Support category of a tech stack.

Key Features

Choose your own targetMotivates you to get outsideDesigned to get you going and have fun

MeandR Pros & Cons

Pros of MeandR

No pros listed yet.

Cons of MeandR

No cons listed yet.

MeandR Alternatives & Comparisons

What are some alternatives to MeandR?

FHIR

FHIR

It is a standard for health care data exchange, published by HL7. Interoperability protocol that qualifies for MACRA and 21st Century Cures laws.

Google Cloud Healthcare API

Google Cloud Healthcare API

Bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies.

DHIS2

DHIS2

It is the flexible, web-based open-source information system with awesome visualization features including GIS, charts and pivot tables.

NextGen Connect

NextGen Connect

It is a cross-platform interface engine used in the healthcare industry that enables the management of information using bi-directional sending of many types of messages. The primary use of this interface engine is in healthcare.

Synapse Medicine

Synapse Medicine

It delivers easily accessible, reliable and up-to-date drug information. The startup which collaborates closely with the largest university hospitals, has developed a Medication Intelligence platform dedicated to proper drug use. As a leader in its category, the solution is 100% independent from the pharmaceutical industry and is used today by thousands of healthcare professionals.

OpenEMPI

OpenEMPI

In order for an organization to be able to aggregate and manage clinical data on behalf of a patient, it is of utmost importance that the organization is able to accurately identify distinct patients whose data is collected across multiple sources. The presence of duplicate patient demographic records in a system introduces many inefficiencies and costs to an organization. Various industry studies have concluded that the rate of duplicate records in a typical Electronic Medical Record system ranges between 5 and 20 percent of all patient records. By using OpenEMPI, an organization can quickly and accurately identify and resolve duplicate records in their systems, resulting in improved quality of care and considerable cost savings.

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