AI in Health Care: From Strategies to Implementation

Creating and implementing an AI health care solution involves a careful balance of training, validation and deployment. Explore each stage of the AI development pipeline and formulate an idea for an AI-driven health care solution that you will work on throughout the program to fulfill the capstone requirement.

Leveraging the power of AI in a health care setting can be challenging. Examine the complexities of developing successful AI-driven products for the health care industry and identify the factors that must be considered to create a successful product.

Risk prediction models assess the likelihood of a given outcome. Discover common evaluation measures used with these models and the level of certainty required for clinical decision making.

The AI development pipeline offers a host of benefits, but it also introduces potential ethical concerns. Examine each pipeline stage through the lens of ethics and equip yourself with the knowledge to identify and avoid ethically  problematic choices and practices throughout the development process.

AI implementation carries a unique set of considerations for startups. Guided by a leader in the AI startup world, learn to transform your idea for an AI-first health care solution into a compelling story and viable investor pitch.

Person-generated health data (PGHD) gathered by wearable devices and machine learning algorithms offer a wide range of new health care possibilities. Explore the advantages and disadvantages of leveraging machine learning to collect and assess wearable data and examine the role of community benchmarks and transparency in developing machine learning methods.

A viable pitch is instrumental to securing funding for an AI-first health care solution. Join the members of your cohort as some of them share pitches for their solutions and examine what makes an effective pitch and why.

Professionals aiming to lead innovation in the health care industry will find this program highly valuable. Participants gain hands-on experience with AI technologies, including machine learning and predictive analytics, while exploring how to integrate AI models into clinical workflows and electronic health records. The program emphasizes ethical implications, patient care safety, and strategies for effectively implementing AI in health care systems. Through the capstone project, learners address real-world problems health care providers face, applying knowledge to improve patient outcomes and health care delivery.

The AI in Health Care program offers a unique combination of expert instruction, practical skills, and real-world case studies. Participants learn how artificial intelligence in health care can transform patient care, improve patient outcomes, and enhance operational efficiency. By analyzing health care data with advanced AI tools and machine learning techniques, learners develop strategies to implement AI-driven solutions that address current challenges in the health care sector. The capstone project ensures direct application of these strategies to organizational needs.

For those seeking to bridge leadership, health care systems, and artificial intelligence, the AI in Health Care program stands out. The curriculum blends foundational concepts in AI with applications across patient care, health care data, and emerging technologies. Learners explore machine learning algorithms, bias detection, and ethical implications of AI models while working through case studies that mirror current and future applications. The program prepares participants to lead health care AI initiatives that enhance clinical decision-making and health care delivery.

This program is ideal for health care professionals, including medical professionals, researchers, executives, and policymakers, who want to understand and implement AI strategies in health care. Participants gain insights into how machine learning and AI technologies can transform patient care, optimize health care systems, and improve patient outcomes. It is particularly beneficial for leaders who aim to solve real-world health care challenges by integrating AI into organizational strategy and health care delivery.

When selecting an artificial intelligence course in health care, consider the program’s curriculum, faculty expertise, and opportunities for practical application. The AI in Health Care program combines health care artificial intelligence theory with real-world case studies and applied projects. Learners develop AI strategies that integrate machine learning, natural language processing, and data analytics to solve real-world health care challenges. The capstone project further ensures participants can implement AI in health care settings to advance patient outcomes and organizational efficiency.

Becoming a leader in health are artificial intelligence involves developing both technical expertise and strategic vision. Participants in this program gain practical experience in evaluating AI models, analyzing health care data, and applying AI-driven solutions to real-world health care challenges. Through case studies, faculty insights, and a capstone project, learners explore how AI technologies, from machine learning algorithms to decision support systems, can transform patient care and improve health system performance.

The AI in Health Care course is designed for professionals with backgrounds in health care, medicine, research, computer science, or related fields. While no specific degree is required, participants should have a foundational understanding of health care systems and an interest in emerging technologies such as machine learning and data science. The course builds on existing expertise and expands participants’ ability to implement AI strategies that enhance patient care and health care delivery.

Program fees are listed on the official program page. The cost includes access to all course materials, faculty-led sessions, interactive discussions, health care AI case studies, and the capstone project. Flexible payment options are often available, making this health care certificate program accessible to professionals seeking to expand their expertise in AI-driven health care solutions.

 The Harvard Medical School Executive Education AI in Health Care certificate program provides health care professionals with the knowledge and tools to design, implement, and evaluate AI-driven initiatives. This eight-week program equips participants to integrate AI strategies into health care systems, enhance patient care safety, and improve patient outcomes. By applying machine learning techniques, natural language processing, and real-world case studies, participants learn to solve health care challenges and transform patient care.

How do I know if this program is right for me?

After reviewing the information on the AI in Health Care: From Strategies to Implementation program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions about whether this program is a good fit for you, please email learner.success@emeritus.org, and a dedicated program advisor will follow-up with you very shortly.

Are there any prerequisites for this program?

Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at the ID mentioned above.

Note that, unless otherwise stated on the program web page, all programs are taught in English, and proficiency in English is required.

What is the typical class profile?

More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.

What other dates will this program be offered in the future?

Check back with this program web page or email us to inquire whether future program dates or the timeline for future offerings have been confirmed yet.

Why is it important for health care leaders today to understand AI?

As artificial intelligence in health care continues to evolve, professionals must understand its practical applications to make data-informed decisions and enhance patient care delivery. 

The AI in Health Care: From Strategy to Implementation program from Harvard Medical School Executive Education equips medical professionals and health care leaders with the knowledge and expertise to design, pitch, and implement AI-driven solutions to transform health care processes and improve decision making in patient care.

Who is this program designed for?

The AI in Health Care program is ideal for medical professionals, health care leaders, and innovation-focused executives looking to implement AI-based health care solutions that elevate care delivery and operational efficiency. Consultants, policymakers, and researchers guiding AI adoption across health care systems can also consider enrolling in this program. Designed for those at the intersection of health care and technology, the program equips participants to lead transformative, AI-driven change for improved patient care. 

Note: This program does not include training in AI for doctors intended for direct clinical decision making or patient treatment.

What will I learn from this program?

In the AI in Health Care program from Harvard Medical School Executive Education, you will understand AI in medicine better and learn to design, validate, and lead AI initiatives that enhance patient care. Through real-world data, peer learning, and scenario-based assignments, you will gain practical skills to evaluate existing models, identify new opportunities, and apply ethical principles across the AI pipeline.

How much time is required each week?

Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.

How will my time be spent?

We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:

• Engaging with recorded video lectures from faculty

• Attending webinars and office hours, as per the specific program schedule

• Reading or engaging with examples of core topics

• Completing knowledge checks/quizzes and required activities

• Engaging in moderated discussion groups with your peers

• Completing your final project, if required

The program is designed to be highly interactive while also allowing time for self-reflection and gaining an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on program activities.

What is it like to learn online with the learning collaborator, Emeritus?

More than 300,000 learners across 80 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.

All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner, the cost of which is already included in the overall course fee of the course.

A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.

How do I interact with other program participants?

Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.

What will I be able to do after completing this program?

By the end of the AI in Health Care course, you will be able to evaluate and apply artificial intelligence strategies and solutions in health care to address modern health care needs and improve patient experiences and outcomes. You will also consider the ethical factors of AI in health care, including bias, privacy, and trust.

Will I learn how to lead an AI health care project or initiative?

Yes, the Harvard Medical School Executive Education AI in Health Care course includes a capstone project that will allow you to apply insights from each module to ideate and pitch a new AI-first health care solution that addresses a real organizational or patient care need. Combined with hands-on assignments and case studies, it prepares you to lead AI initiatives from concept to implementation.

What are the requirements to earn the certificate?

Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life.

This program is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please email us if you need further clarification on any specific program requirements.

What type of certificate will I receive?

Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile.

The digital certificate will be sent approximately two weeks after the program, once grading is complete.

Will I earn a professional certificate, CEUs, PEUs, academic credits when I complete the program?

This program does not grant academic credits, CEUs, PEUs or professional certificate from Harvard Medical School. This non-degree program offers a certificate of completion to participants who meet the program requirements. It does not grant academic credit or provide certification for specific professions.

Can I get the hard copy of the certificate?

No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.

Do I receive alumni status after completing this program?

No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certificate. This information will be clearly noted in the program brochure.

How long will I have access to the learning materials?

You will have access to the online learning platform and all the videos and program materials for 24 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

What equipment or technical requirements are there for this program?

Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.

Do I need to be online to access the program content?

Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.

Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.

Do I need a technical or coding background to enroll?

No, you do not need a coding background to enroll in this program. The program is designed for medical professionals and health care leaders without a technical background. You will learn how AI and health care intersect and how to evaluate and apply AI-driven solutions.

Can I still register if the registration deadline has passed?

Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.

What is the program fee, and what forms of payment do you accept?

The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.

• Flexible payment options are available (see details below as well as at the top of this program web page next to FEE).

• Tuition assistance is available for participants who qualify. Please email learner.success@emeritus.org.

What if I don’t have a credit card? Is there another method of payment accepted?

Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your program advisor, or email us for details.

I was not able to use the discount code provided. Can you help?

Yes! Please email us with the details of the program you are interested in, and we will assist you.

How can I obtain an invoice for payment?

Please email us your invoicing requirements and the specific program you’re interested in enrolling in.

Is there an option to make flexible payments for this program?

Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.

How can I obtain a W9 form?

Please connect with us via email for assistance.

Who will be collecting the payment for the program?

Emeritus collects all program payments, provides learner enrollment and program support, and manages learning platform services.

Are there any restrictions on the types of funding that can be used to pay for the program?

Program fees for Emeritus programs with Harvard Medical School may not be paid for with (a) funds from the GI Bill, the Post-9/11 Educational Assistance Act of 2008, or similar types of military education funding benefits or (b) Title IV financial aid funds.

What is the program refund and deferral policy?

For the program refund and deferral policy, please click the link here.