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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf StudyVideo and Text Based

    Course Overview

    Udacity’s Health Informatics in the Cloud course is designed to offer complete knowledge of the highly regulated healthcare industry and how informatics can improve the system to people from diverse backgrounds who do not have prior exposure to HIT.

    One of the major Heath Informatics in Cloud course benefits is that you get to learn via a self-paced learning model. It allows you to track your progress and address challenge areas better. The course duration is an estimated five weeks, but you can finish it earlier depending upon your learning pace.

    The Health Informatics in Cloud course syllabus is divided into 11 lessons and is delivered by industry-best professors. You will be taught via interactive quizzes, learning-by-doing exercises, instructional videos, and rich learning content. The course is beginner-friendly, but some members in each team need to possess knowledge of web programming using Java, JavaScript, C++, or C#.

    The Highlights

    • An estimated 5-week course duration 
    • Free of cost 
    • Beginner skill level 
    • Industry-best instructors 
    • Self-paced learning model
    • Rich learning content 
    • Interactive quizzes 
    • 11 lessons covered 
    • Learning-by-doing exercises 
    • Instructor videos

    Program Offerings

    • Expert professors
    • Self-paced learning
    • Free Enrolment
    • Rich learning content
    • Beginner-level Course

    Courses and Certificate fees

    Certificate Availability
    no

    The Health Informatics in the Cloud course is available free of cost.


    Benefits

    The Health Informatics in the Cloud course benefits will be experienced most by those with no prior exposure to the HIT sector. If you want to learn informatics, its importance, and its application in the cloud but are yet to know the highly regulated US healthcare industry, this course is a great place to start.

    In this course, you get to learn from industry experts via 11 extensive lessons, all free of cost. Learning-by-doing exercises ensure that you have hands-on experience of applying your knowledge to real-world scenarios

    Eligibility Criteria

    There are no specific eligibility requirements to enroll for the Health Informatics in the Cloud online course. However, some members of each team need to have web programming knowledge. This includes languages such as Java, JavaScript, C++, and C#.

    What you will learn

    Knowledge of healthcare sciences

    The Health Informatics in the Cloud course by Udacity will help you gain the following knowledge: 

    • All about the US healthcare delivery 
    • The role the Federal Government plays in promoting HIT adoption
    • Understand which core technologies drive all contemporary HIT tools and systems
    • Real-world applications of HIT
    • How e-medical and personal records can be used for research and other purposes

    Who it is for

    The Health Informatics in the Cloud programme is ideal for –

    • Those who wish to know all about the highly regulated US healthcare sector and how informatics in the cloud can improve healthcare quality and efficiency
    • Those who are from diverse fields and have no previous exposure or knowledge of HIT. 

    Admission Details

    • Visit the Healthcare Informatics in the Cloud course page by visiting the link - https://www.udacity.com/course/health-informatics-in-the-cloud--ud809.
    • Now, you must sign-up for an account on Udacity. 
    • Else, you can directly sign up using a Google or Facebook account. 
    • Start learning after you have signed up.
    Filling the form

    To enroll for the Health Informatics in the Cloud online course, you need to create a new account on Udacity with details such as your full name, active email ID, and self-made password. To skip this process, you can directly sign up with your Facebook or Google account.

    • Visit the Healthcare Informatics in the Cloud course page by visiting the link - https://www.udacity.com/course/health-informatics-in-the-cloud--ud809.
    • Now, you must sign-up for an account on Udacity. 
    • Else, you can directly sign up using a Google or Facebook account. 
    • Start learning after you have signed up.

    The Syllabus

    • Specific challenges presented by chronic disease 
    • Key problems 
    • A major disconnect between the health system’s capabilities and the demands of chronic disease management

    • The role played by financial incentives that reward performance, rather than the number of procedures
    • The important details of the specific programs that the federal government has put into place to spur health IT adoption by eligible providers and hospitals

    • The rationale for and the major challenges of health information exchange (HIE)
    • Indiana Health Information Exchange as a premier example including descriptions of its key services
    • How to differentiate the various HIE architectures
    • Various ways of classifying HIE    
    • New approaches and technologies with a particular emphasis on Direct HIE, a new technology based on secure email and encrypted attachments

    • The key role that patient engagement plays in chronic disease prevention and management
    • Various privacy consent models
    • Key issues of privacy, security, and trust in a world of digital records & health information exchange
    • Data segmentation is a key challenge for obtaining patient consent under what may be the most acceptable model
    • Concerns patients have about sharing their health data
    • Concept of public key infrastructure (PKI) including the roles of the private key, public key, registration authority and certificate authority

    • Key data standards (including CPT, ICD,  LOINC & SNOMED)
    • The rationale for standards and the evolutions that have been taking place in their use, technology and structure
    • Difference between a classification & an ontology    
    • Differences between standards based on XML and EDI/X12

    • How data is transmitted within messages using HL7 & packaged into CCDA-based clinical documents for sharing via HIE
    • Next-generation approaches based on web technologies
    • Clinical decision support – CDS, an important technology for the future – and the key elements of and remaining challenges with standards to support CDS

    • Key roles that data plays in medical practice
    • Specific root causes of data quality issues with respect to electronic health records
    • Root causes of common data quality issues in general
    • Challenges of visualizing digital health data in a way that supports the provider’s mental model
    • Challenges of efficiently and accurately collecting high quality, comprehensive clinical data from physicians
    • Key roles that information technology plays in the future vision of healthcare    

    • The key role that supports for patients can play is to adhere to prescribed treatments, achieve behaviour change, and generate data to help providers more continuously manage chronic diseases
    • Various telemedicine modalities are being developed & offered for use by patients at home
    • Patient interests    
    • Personal health records and their potential as app platforms
    • Social networking in patient education & care management
    • Information technology tools are now available to patients including patient health records, portals, social networking, in-home technologies and mobile devices and sensors

    • The kinds of data that are collected
    • Technologies for aggregating data
    • The kinds of reports that are required for population and public health management
    • Difference between individual patient management, population management and public health

    • Distributed query standards
    • Differences among the distributed query technologies
    • Challenges of data query and aggregation in an environment where care providers are using disparate and non-interoperable EHRs
    • Various open-source query frameworks    

    • Common technical approaches to modelling &  simulation and the common applications of each
    • The concept of “big data”
    • Specific case studies of analytic applications to healthcare problems as diverse as improved clinical decision support, modelling care spaces, understanding clinical processes, & providing optimal patient-specific treatments.

    Instructors

    Georgia Tech Frequently Asked Questions (FAQ's)

    1: Can a beginner join the course?

    Yes, beginners with no prior knowledge or exposure to the HIT sector can take up the course.

    2: What is the course duration?

    The course duration is an estimated five weeks.

    3: What is the course fee?

    The course can be taken up free of cost.

    4: Do I get hands-on experience?

    Yes, you will be working on learning-by-doing exercises to have knowledge of real-world applications.

    5: What is the course syllabus like?

    The course syllabus is divided into 11 lessons, with each lesson further divided into sub-lessons.

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