Health IT, Informatics & Telemedicine Consultant

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How consultants help healthcare organizations with technology: the health IT landscape, electronic health records, interoperability and data standards, clinical informatics, analytics and AI, telemedicine program design and regulation, cybersecurity basics, vendor selection and implementation, governance, change management and building a consulting practice. Eighteen lessons.

Full course access

$297

$297 — Enroll Now

One-time payment · Secure checkout by Stripe

Full course access

$297

$297 — Enroll Now

One-time payment · Secure checkout by Stripe

About this courseThis is a self-paced educational course. Completing it does not award a professional certification, license, degree or academic credit, and it does not count toward any licensing or continuing-education requirement. It is not clinical training, it does not provide CE, CME or contact hours, and it is not medical advice. Exam-prep courses are independent study material: we are not affiliated with any certifying body, no exam voucher is included, and a credential is only awarded by the certifying body after you pass its exam. Always work within your scope of practice and your employer's policies. It makes no promise of employment, pay or exam results.

Modules

Other Lessons

Lesson 2.1: EHR Selection Fundamentals

Author: akoshner@gmail.com

An EHR selection project should begin with a structured needs assessment, not a vendor demo tour: documenting the organization’s current workflows, specific pain points with an existing system if one is being replaced, m

Lesson 3.1: HL7 v2 Messaging

Author: akoshner@gmail.com

HL7 (Health Level Seven) v2 is the long-standing messaging standard most healthcare systems still use for a large share of real-time data exchange, particularly for order and result transmission, admission-discharge-tran

Lesson 3.2: FHIR and Modern APIs

Author: akoshner@gmail.com

FHIR (Fast Healthcare Interoperability Resources, pronounced ‘fire’) is the modern interoperability standard built around discrete, well-defined ‘resources’ (such as Patient, Observation, Condition, MedicationRequest, an

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