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konectar KOL Management Platform

Discover, profile and engage the right healthcare professionals
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What is konectar KOL Management Platform?

It is a highly advanced medical KOL Management Platform designed to enable industry-leading life sciences companies Discover, Profile and Engage the right medical experts for their business objectives. konectar has a readily curated database of Medical Influencers in the US, which can be accessed by the users through the cloud application. Users can search these influencers by specific targeted disease areas and segment the required Healthcare Professionals into Global, National and Regional Influencers.
konectar KOL Management Platform is a tool in the Healthcare category of a tech stack.

konectar KOL Management Platform's Features

  • KOL Mapping
  • KOL Identification
  • KOL Management
  • KOL Healthcare
  • KOL Management platform
  • Influence mapping Software
  • KOL Research

konectar KOL Management Platform Alternatives & Comparisons

What are some alternatives to konectar KOL Management Platform?
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
Bridges the gap between care systems and applications built on Google Cloud. By supporting standards-based data formats and protocols of existing healthcare technologies.
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.
It is the flexible, web-based open-source information system with awesome visualization features including GIS, charts and pivot tables.
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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Related Comparisons
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