Artificial Intelligence in Health Care
ONLINE SHORT COURSE
Develop an understanding of how AI is transforming health care, and explore case studies that reveal how these technologies are being deployed to overcome challenges and optimize processes.
6 weeks, excluding 1 week orientation.
6–8 hours of self-paced learning per week, entirely online.
Email: mitsloan@getsmarter.com
Call: +1 617 997 4979
ABOUT THIS COURSE
The potential of artificial intelligence (AI) to transform health care — through the work of both organizational leaders and medical professionals — is increasingly evident as more real-world clinical applications emerge.
As patient data sets become larger, manual analysis is becoming less feasible. AI has the power to efficiently process data far beyond our own capacity, and has already enabled innovation in areas such as chemotherapy regimens, patient care, and even breast cancer risk.
With the Artificial Intelligence in Health Care online short course, the MIT Sloan School of Management and the MIT J-Clinic aim to equip health care leaders with a grounded understanding of the potential for AI innovations in the health care industry. The program explores types of AI technology, their applications, limitations, and industry opportunities. Techniques like natural language processing, data analytics, and machine learning will be investigated across contexts such as disease diagnosis and hospital management.
WHAT THIS PROGRAM COVERS
Over the course of six weeks, you’ll develop a holistic understanding of AI’s growing role in health care through an immersive online experience that draws on real-world case studies. You’ll explore how AI strategies have already been successfully deployed within the sector, and learn to ask the right questions when evaluating an AI technique for potential use within your own context.
You’ll gain an overview of the technology before delving into its practical adoption challenges, with regard to both hospital processes and resource management. Guided by MIT faculty and health care experts, you’ll examine the use of AI in diagnosis, patient monitoring and care, and explore how it can be applied to enhance health care data management. You’ll also learn to apply an integrated approach to hospital management and optimization, and develop a framework to assess the viability of using AI within your health care context.
A POWERFUL COLLABORATION
MIT Sloan Executive Education is collaborating with online education provider GetSmarter to create a new class of learning experience — one that is higher-touch, intimate, and personalized for the working professional.
ABOUT MIT SLOAN
The MIT Sloan School of Management is one of the world’s leading business schools, emphasizing innovation in practice and research, with a mission to develop principled, innovative leaders who improve the world, and to generate ideas that advance management practice. The school’s focus on action learning means that students are able to apply concepts learned in the classroom to real-world business settings. Through its collaborative spirit, MIT Sloan welcomes and celebrates diverse viewpoints, creating an environment where new ideas grow and thrive.
WHAT IS MIT SLOAN EXECUTIVE EDUCATION?
MIT Sloan Executive Education offers nondegree executive programs led by MIT Sloan faculty to provide business professionals from around the world with a targeted and flexible means to advance their career development goals and position their organizations for future growth. By collaborating with GetSmarter, a leader in online education, MIT Sloan Executive Education is able to deliver its executive programs through a dynamic, interactive, digital learning platform.
ABOUT GETSMARTER
GetSmarter, a 2U, Inc. brand, collaborates with the world’s leading universities and institutions to select, design, and deliver premium online short courses with a data-driven focus on learning gain.
Technology meets academic rigor in GetSmarter’s people-mediated model, which enables lifelong learners across the globe to obtain industry-relevant skills that are recognized by the world’s most reputable academic institutions.
WHAT YOU’LL LEARN
You’ll be welcomed to the course and begin connecting with fellow participants, while exploring the navigation and tools of your Online Campus. Be alerted to key milestones in the learning path, and review how your results will be calculated and distributed.
You’ll be required to complete your participant profile and submit a digital copy of your passport/identity document.
Become familiar with supervised machine learning and the types of problems it may be applied to.
- Identify the basics of machine learning, neural networks, and deep learning
- Indicate the ways in which AI may be applied to health care
- Review misconceptions and challenges relating to AI
- Outline important questions to gauge the suitability of AI in health care
Examine real-world applications of AI for diagnosis and patient monitoring.
- Articulate the burdens on health care, which may be addressed using AI diagnostic and monitoring techniques
- Analyze the challenges associated with implementing AI diagnostic and monitoring techniques
- Recommend questions to determine the suitability of AI in different health care contexts
Use AI to extract value-adding outcomes from medical literature and pathology reports.
- Relate how natural language processing (NLP) can be used to explore and classify medical data
- Deduce how data analysis using AI techniques can be used to improve health care outcomes
- Investigate potential challenges to the adoption of AI-driven data management techniques
- Analyze the suitability of standard NLP models and customized NLP models
- Recommend questions to determine the suitability of AI in different health care contexts
Appreciate the importance and benefits of interpretable algorithms.
- Review the concept of interpretability and why it is important for decision making in health care
- Articulate the challenges to developing interpretability in AI models
- Analyze important design traits and considerations necessary for AI to be implemented in health care
- Recommend questions to determine the suitability of AI in different health care contexts
Discover how AI can be applied to health care interventions and patient care.
- Outline how machine learning techniques can be applied to clinical care and administration
- Determine the practical considerations of using machine learning for patient risk stratification
- Investigate cases where machine learning can be used to augment clinical workflows
- Analyze different considerations in using AI for risk stratification and health care management
- Assess the potential benefits of machine learning in hospital process augmentation
- Recommend questions to determine the suitability of AI in different health care contexts
Investigate a holistic approach to optimizing health care processes.
- Relate the ways that AI can aid in optimizing hospital processes
- Investigate how AI predictive power can be applied to inpatient needs and processes
- Analyze challenges to implementing AI-enabled optimization processes in hospitals
- Assess the role of AI in creating holistic hospital optimization
- Evaluate the viability of using AI in a given health care context
WHO SHOULD TAKE THIS COURSE
This course aims to empower leaders in both business and medical roles with the knowledge to understand the transformative role AI can play in health care. Key learning areas include the basics of machine learning, neural networks, and deep learning. Participants can expect to be able to immediately and directly apply the knowledge gained in this course in their own roles within the health care sector. Professionals working for health care providers will also learn to identify the types of problems that AI techniques can help solve.
THIS PROGRAM IS FOR YOU IF YOU WANT TO:
DRIVE REAL CHANGE
Build an AI decision framework to assess the suitability of an AI-based solution in your health care context.
GROW YOUR KNOWLEDGE
Understand the potential for AI to transform health care, from disease diagnosis to patient care.
STREAMLINE PROCESSES
Learn how adopting an integrated approach to AI can improve hospital management and optimization.
Earn a certificate of completion from MIT Sloan
This program offers you the opportunity to earn a digital certificate of completion from one of the world’s leading business schools — the MIT Sloan School of Management. This program also counts toward an MIT Sloan Executive Certificate, which you can earn upon completion of four programs where at least three of the four come from your chosen certificate track and at least one is completed in person. Find full details here.
Completion is based on a series of practical online assignments. In order to be issued with a digital certificate you’ll need to meet the requirements outlined in the course handbook. The handbook will be made available to you as soon as you begin the program.
Your certificate will be issued in your legal name and sent to you digitally upon successful completion of the program, as per the stipulated requirements.
WHO YOU’LL LEARN FROM
This subject matter expert from MIT Sloan guides the program design and appears in a number of course videos, along with a variety of industry professionals.
YOUR FACULTY DIRECTOR
Regina Barzilay
Delta Electronics Professor of Electrical Engineering and Computer Science, MIT CSAIL
Barzilay is a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). Her research interests are in natural language processing, applications of deep learning to chemistry, and oncology. She is a recipient of various awards and received her PhD in computer science from Columbia University. She also spent a year as a postdoc at Cornell University.
MIT FACULTY AND CLINICAL EXPERTS
Dimitris Bertsimas
Professor of Management, Boeing Leaders for Global Operations; Associate Dean for the Master of Business Analytics, MIT
Tommi Jaakkola
Thomas Siebel Professor of Electrical Engineering and Computer Science, and the Institute for Data, Systems, and Society, MIT
Dina Katabi
Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science, MIT; Leader of NETMIT Research Group, CSAIL
David Sontag
Associate Professor of Electrical Engineering and Computer Science, MIT
Collin Stultz
Professor of Electrical Engineering and Computer Science, Institute for Medical Engineering and Science, MIT
Constance Lehman
MD and Professor of Radiology, Harvard Medical School
Kevin Hughes
MD and Co-Director, Avon Comprehensive Breast Evaluation Center; Medical Director, Bermuda Cancer Genetics and Risk Assessment Clinic
HOW YOU’LL LEARN
Every course is broken down into manageable, weekly modules, designed to accelerate your learning process through diverse learning activities:
- Work through your downloadable and online instructional material
- Interact with your peers and learning facilitators through weekly class-wide forums and reviewed small group discussions
- Enjoy a wide range of interactive content, including video lectures, infographics, live polls, and more
- Investigate rich, real-world case studies
- Apply what you learn each week to quizzes and ongoing project submissions, culminating in an AI decision framework that enables you to assess the suitability of AI within your context
YOUR SUCCESS TEAM
GetSmarter, with whom MIT Sloan is collaborating to deliver this online program, provides a personalized approach to online education that ensures you’re supported throughout your learning journey.
HEAD LEARNING FACILITATOR
A subject expert from GetSmarter, approved by the University, will guide you through your learning journey.
SUCCESS ADVISER
Your one-on-one support at GetSmarter, available during University hours (9a.m.–5p.m. EST) to address technical or administrative questions.
GLOBAL SUCCESS TEAM
This team from GetSmarter is available 24/7 to solve your tech-related queries and concerns.
TECHNICAL REQUIREMENTS
BASIC REQUIREMENTS
In order to complete this program, you’ll need a current email account and access to a computer and the internet, as well as a PDF Reader. You may need to view Microsoft PowerPoint presentations, and read and create documents in Microsoft Word or Excel.
BROWSER REQUIREMENTS
We recommend that you use Google Chrome as your internet browser when accessing the Online Campus. Although this is not a requirement, we have found that this browser performs best for ease of access to course material. This browser can be downloaded here.
ADDITIONAL REQUIREMENTS
Certain courses may require additional software and resources. These additional software and resource requirements will be communicated to you upon registration and/or at the beginning of the program. Please note that Google, Vimeo, and YouTube may be used in our course delivery, and if these services are blocked in your jurisdiction, you may have difficulty in accessing course content. Please check with an Enrollment Adviser before registering for this program if you have any concerns about this affecting your experience with the Online Campus.
