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What is CloudApper EMR Link?

Effectively identifying patients and accessing their medical records from EMR/EHR systems is crucial for providing suitable treatment and improving patient safety. EMR links enable healthcare providers to accurately identify patients and efficiently access information from EHR/EMR systems, thereby raising the quality of care delivered. The challenges associated with conventional EMR systems are addressed as the EMR link integrates effortlessly, offering the most straightforward method for data retrieval. Say farewell to the ongoing struggle with information overload in the EMR system, since finding the necessary information is made simple through an easy-to-use search function. Additionally, the EMR link features both web and native applications for Android and iOS, allowing users to add, edit, or remove patient information while on the go. This application seamlessly coordinates with prominent EMR platforms like Epic, Cerner, eClinicalWorks, and Allscripts, promoting efficient logging and retrieval of patient data, which ensures that healthcare providers can deliver timely and precise care. By incorporating mobile access and integration into your healthcare practice, patient management becomes more streamlined and effective than ever, ultimately enhancing the overall experience for both providers and patients alike.

What is Clinical Extract?

Clinical Extract can efficiently obtain research data from any electronic health record system that utilizes a certified bulk FHIR API, including well-known platforms such as Epic, Oracle Health (Cerner), athenahealth, eClinicalWorks, MEDITECH, NextGen, and Veradigm. The tool functions as a SMART Backend Services client within your existing infrastructure, employing read-only permissions and enabling the export of only the specified study group through a Group $export. It converts NDJSON into a detailed CSV format, complete with a data dictionary that correlates each column to its corresponding FHIR element, all while ensuring that patient data stays securely within your environment. Tailored specifically for cancer and clinical registries, it supports coded case and abstraction fields in line with the NAACCR layout and addresses the requirements of research informatics teams and ethical brokers by providing study-specific data collections alongside an IRB-compliant data dictionary. Additionally, it aids research sites in evaluating clinical trial feasibility based on established coded criteria. Among its key capabilities are a cohort builder, roster extraction using FHIR $match, and the creation of both the CSV and data dictionary, plus a specialized oncology perspective that highlights biomarkers and TNM stage as distinctly labeled columns for straightforward analysis. This holistic method significantly improves the accessibility and applicability of essential health data for a variety of research initiatives, thereby streamlining the overall research process. Ultimately, Clinical Extract serves as a vital resource for enhancing the efficiency and effectiveness of health data research.

Media

Media

No images available

Integrations Supported

EPIC HRMS
Oracle Health Population Health Management
Veradigm Practice Management
eClinicalWorks

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

On-Prem
Linux

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

CloudApper

Company Location

United States

Company Website

www.cloudapper.com/emr-link-patient-identity-management-application/

Company Facts

Organization Name

Saga IT

Date Founded

2016

Company Location

United States

Company Website

clinicalextract.com

Categories and Features

Healthcare

Not specified

Categories and Features

Healthcare Analytics

Not specified

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