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.

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Company Facts

Company Name:
HEKMA
Date Founded:
2018
Company Location:
United States
Company Website:
www.hekma.ai/

Product Details

Deployment
SaaS

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

HEKMA Categories and Features

Clinical Trial Management Software

21 CFR Part 11 Compliance
Document Management
Electronic Data Capture
Enrollment Management
HIPAA Compliant
Monitoring
Patient Database
Recruiting Management
Scheduling
Study Planning