Master Course : Healthcare IT and Healthcare Management 2.0, Healthcare IT, Healthcare Management, Healthcare data analytics, Health informatics, Nursing, Pharmacy, Administrations.
Course Description
Master course in healthcare IT and healthcare management 2.0
Health IT is the collection, storage, analysis, and sharing of health information by physicians, nurses, health administrators, patients, insurance companies, government entities and others. EHRs, personal health records, e-prescriptions, and apps for health are all health IT tools.
There have been three basic medical steps for decades: evaluation, diagnosis, and treatment.
Today, healthcare is considering much more than just the patient’s condition to improve how they feel.
Doctors, pharmacists, and other providers are using health information technology to improve patient care both short-term and long-term.
With health IT, providers can communicate directly with each other to assess all aspects of a patient’s life, from diet and exercise to genetic predisposition, so that they can make better assessments and advise.
The Healthcare Management Industry
Managing healthcare systems, public health systems, hospitals, entire hospital networks or other medical facilities is called healthcare management. Their duties include making sure each department runs smoothly, hiring qualified employees, disseminating information efficiently throughout the company, achieving specific outcomes, and using resources efficiently, among other things. Healthcare managers can be general or specialized. There are generalists who oversee entire facilities, and specialists who handle specific departments like marketing, finance, policy analysis, and accounting.
Here are the 5 major topics I’ll cover in this master’s course
1. Introduction and Importance of Healthcare IT and Healthcare management 2.0
2. Skills, Trends and IT role in healthcare sector
3. Scope and Benefits of healthcare management and healthcare marketing
4. Healthcare management functions and healthcare data analytics
5. AI in healthcare and becoming a healthcare data analyst