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Medical Assistant, AI Systems

Job not on LinkedIn

🕒 September 10

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟢 Junior

🟡 Mid-level

🤖 Artificial Intelligence

🚫👨‍🎓 No degree required

Where this job comes from

Posted on ALLEN SPOLDEN's careers page, not through a job board

First seen by Remote Rocketship September 10

Still open on ALLEN SPOLDEN's site. Checked 6 hours ago.

Logo of ALLEN SPOLDEN

ALLEN SPOLDEN

51 - 200 employees

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

ALLEN SPOLDEN is a workforce solutions provider specializing in talent and research solutions for the pharmaceutical, biotech, healthcare, and public health sectors. They offer services including functional service provider (FSP) solutions, data management, regulatory affairs guidance, and tailored staffing services to meet the specific needs of clinical research projects. Their expertise is aimed at driving efficiency, enhancing productivity, and ensuring compliance throughout clinical trial operations.

📋 Description

• Use AI-enabled healthcare platforms and digital tools to support clinical and administrative workflows • Review AI-generated documentation, summaries, classifications, or recommendations for accuracy and completeness before appropriate use or escalation • Assist with patient intake, medical histories, demographic information, appointment preparation, and clinical documentation • Enter, review, and maintain information within electronic health record and other healthcare information systems • Support AI-assisted documentation and workflow automation while maintaining appropriate human review of healthcare information • Identify inaccurate, incomplete, or inconsistent AI-generated information and escalate issues according to established procedures • Assist with testing and evaluating AI-supported healthcare workflows and document system performance or recurring issues • Provide feedback to operations, clinical, and technology teams regarding usability, workflow efficiency, and system accuracy • Support data quality initiatives by reviewing healthcare information for completeness, consistency, and appropriate categorization • Assist with patient communication, scheduling, referrals, follow-up activities, and other administrative healthcare processes • Follow organizational requirements related to patient privacy, confidentiality, HIPAA, information security, and appropriate use of healthcare technology • Maintain documentation of system issues, workflow changes, testing activities, and process improvements • Collaborate with clinicians, administrative teams, operations personnel, and technology teams to improve AI-supported workflows

🎯 Requirements

• Medical Assistant certificate, diploma, associate degree, or equivalent healthcare experience preferred • Familiarity with medical terminology, clinical workflows, patient documentation, and healthcare administrative processes • Experience using electronic health record systems or other healthcare technology preferred • Interest in artificial intelligence, healthcare technology, automation, or digital health • Strong attention to detail and ability to identify inconsistencies in clinical or administrative information • Strong written and verbal communication skills • Ability to learn new software platforms and technology-enabled workflows • Understanding of patient confidentiality and HIPAA requirements • Ability to work effectively across clinical, operational, and technology teams

🏖️ Benefits

• Competitive compensation based on experience and qualifications • Health, dental, and vision insurance • Paid time off and company holidays • Flexible work environment with remote or hybrid opportunities where applicable • Professional development and continuing education opportunities • Hands-on exposure to AI-enabled healthcare systems and emerging digital health technologies • Opportunities to develop skills across healthcare operations, clinical systems, AI-assisted workflows, and data quality • Collaborative environment working across clinical, operational, and technology teams • Ongoing training on new healthcare technologies, systems, and AI-enabled workflows

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