AI for Clinical Healthcare in Albania

A professional programme for clinicians and clinical staff: documentation, decision support used as support and never as the diagnosis, data audit and patient data protection with generative AI. Five core courses and an introductory course.

Courses
6
Estimated study time
64 hours
Assessment
A learning programme.

Study time is an estimate for planning; it has not been measured with participants.

Who it is for and what you take away

Who it is for

Doctors, nurses, clinical and allied health staff in hospitals, clinics and primary care in Albania.

What you take away

On completing the learning stages you can document clinical work with AI while keeping the clinical decision with the clinician, use decision support critically, audit clinical data, and keep patient data out of tools that must not see it.

  • A practical task at the end of every course, which you do yourself and keep as evidence of your work.
  • Your completion of each course, recorded in your account on the learning platform.

Courses and sequence

  1. 01

    Healthcare AI (introductory)

    Training · 24 hours · Can be requested on its ownA course on the practical use of AI assistants for Albanian pharmacists, physicians, nurses and administrators. Twelve independent sessions. Study time is an estimate; the course page explains why the figures differ.
  2. 02

    Healthcare AI: Clinical orientation

    Training · 8 hours · Can be requested on its ownAn orientation course for physicians on the use of AI in the clinical day: knowing the tools, the risks of inaccurate information and step-by-step verification. Six lessons.
  3. 03

    Healthcare AI: Clinical documentation

    Training · 8 hours · Can be requested on its ownA course for physicians on clinical documentation with AI: notes, letters and communications drafted with full factual verification. Six lessons.
  4. 04

    Healthcare AI: Clinical decision support

    Training · 8 hours · Can be requested on its ownA course for physicians on the use and limits of AI in clinical decision support: finding evidence, differential diagnosis, bias and tool reliability. The physician interprets and decides. Six sessions.
  5. 05

    Healthcare AI: Clinical data audit

    Training · 8 hours · Can be requested on its ownClinical data audit with AI assistance: verifying the integrity of patient data, traceability, protecting health data and quality audit with the clinical verification protocol. Part of the programme for health professionals.
  6. 06

    Healthcare AI: Preparation for assessment

    Final course of a programme · 8 hours · Within the sequenceConsolidating the clinical programme with AI: integrating the verification protocol into daily clinical work, institutional sustainability, the bridge between training and real practice and the transfer of knowledge to the next generation of health professionals.

Assessment and qualification

The learning checks inside the courses are formative and qualify no one. Qualification is a separate, optional route: two human assessors review a sample of your work against the published rubric, and no AI takes part in the decision.

Pending professional ratification: the rubric used in the optional human assessment has not yet been signed by practising professionals in this field. Until it is, the programme is published as a learning programme.

A qualification is not a professional licence and does not guarantee work.

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