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What is HolCare EHR+?

HolCare EHR+ is a sophisticated electronic health record system hosted in the cloud, specifically designed to meet the needs of mental health organizations, telepsychiatry services, research centers, and forward-thinking care models. By implementing Measurement-Based Care (MBC), it has been shown to significantly enhance patient care, improve treatment outcomes, and aid clinicians in making informed decisions, which collectively yield better health results. However, the challenge of integrating MBC directly with an EHR can complicate its application and may reduce overall efficiency. HolCare EHR+ resolves this complication by offering comprehensive MBC integration, which allows for the smooth gathering of critical measures that improve patient care. Moreover, its native support for HL7 FHIR enables easy integration with a wide range of third-party health technologies. This standardized approach prevents the challenges associated with expensive and lengthy custom integrations, resulting in a more effective platform capable of exchanging both clinical and non-clinical data with partners, thus optimizing workflows within the healthcare landscape. In doing so, HolCare EHR+ not only promotes a more cohesive method for managing patient care but also encourages organizations to embrace innovative strategies in health service delivery. Ultimately, this positions HolCare EHR+ as a key player in transforming the way healthcare is approached and administered.

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

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

On-Prem
Linux

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Holmusk

Date Founded

2015

Company Location

United States

Company Website

holmusk.com

Company Facts

Organization Name

Saga IT

Date Founded

2016

Company Location

United States

Company Website

clinicalextract.com

Categories and Features

Mental Health

Not specified

Therapy

Not specified

Categories and Features

Healthcare Analytics

Not specified

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