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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video 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

Programme 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.

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.

Application Details

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.

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.