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What is HEKMA?

HEKMA stands at the forefront of innovation, leveraging artificial intelligence to improve the effectiveness of clinical trials through enhanced patient recruitment, evaluation of trial feasibility, and improved patient engagement. Their all-encompassing platform serves a wide range of stakeholders, including contract research organizations (CROs), pharmaceutical companies, healthcare providers, and patients, by combining electronic health records (EHRs) with AI-enhanced trial matching, clinical trial management systems, and patient engagement tools. HEKMA's primary objective is to reduce enrollment delays, increase access to clinical trials—particularly for marginalized groups—and streamline the clinical research workflow to create a process that is more efficient, transparent, and focused on patient requirements. With a unique combination of healthcare expertise, artificial intelligence technology, and clinical operations knowledge, HEKMA ensures compliance with essential industry standards, such as HIPAA, 21 CFR Part 11, GDPR, and HL7/FHIR, maintaining the highest levels of regulatory adherence. By embracing cutting-edge technology, HEKMA aspires to revolutionize the clinical trial landscape, ultimately driving progress in medical research and enhancing patient outcomes. Their commitment to innovation not only addresses current challenges in clinical research but also positions them as leaders in shaping the future of healthcare.

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

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Media

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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

HEKMA

Date Founded

2018

Company Location

United States

Company Website

www.hekma.ai/

Company Facts

Organization Name

Saga IT

Date Founded

2016

Company Location

United States

Company Website

clinicalextract.com

Categories and Features

Categories and Features

Healthcare Analytics

Not specified

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