- Course fee
- No-Cost
- Course level
- Foundational
- Length
- 3 weeks
- Training hours
- 45
- Prerequisites
- Must be a Per Scholas Alumnus
Course Overview
The healthcare industry relies on robust, secure technology to protect patient data and streamline life-saving operations. The instructor-led IT for Healthcare Specialization (UCI 3094) program is specifically designed for individuals with previous IT support training who are ready to expand their technical expertise into the dynamic medical field.
This highly specialized course immerses you in the critical intersection of healthcare and information technology, which you learn via a 9 hour/week commitment to a remote, instructor-led course.
Career-Driven Learning
Through an engaging blend of interactive labs, captivating lectures, and collaborative projects, you will explore the US healthcare ecosystem inside and out. You will learn to confidently navigate strict compliance frameworks—such as HIPAA, HITECH, and Joint Commission requirements—manage clinical technology systems, and implement data governance protocols with a strong emphasis on modern analytics and AI.
Upon completing the IT for Healthcare Specialization (UCI 3094) program, you will be prepared to leverage these highly sought-after skills and pursue your career path in health information systems, healthcare cybersecurity, or healthcare data analytics.
Additional Info
Technical Skills & Objectives
By the end of the IT for Healthcare Specialization (UCI 3094) course, you will be able to:
- Analyze the US healthcare ecosystem, clinical workflows, and core health IT systems to optimize both patient care and hospital operations.
- Apply essential HIPAA, HITECH, and Joint Commission compliance requirements to manage risk, ensure strict security, and lead effective incident response.
- Design and maintain secure healthcare technology environments, including Electronic Health Record (EHR) platforms, medical billing systems, and segmented network infrastructures.
- Demonstrate expert IT support skills by troubleshooting clinical technologies, communicating seamlessly with medical staff, and rapidly resolving simulated system failures.
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