My co-authors and I were having our first meeting with Sara Epperson, Yale’s Director of Digital Education, to discuss our proposal to record a Coursera online class based on our then-upcoming textbook “Introduction to Medical Software: Foundations for Digital Health, Devices, and Diagnostics.” Her opening question to us was “why do you want to record this class?” to which, to my surprise, I blurted out “I want to save the world!” After a period of silence, I then tried to explain (to me as much to her) what I meant by that statement. How can a class (or a textbook) on medical software “save the world?”
There is a desperate need to both improve the quality of medical care and reduce the costs involved while at the same time helping to provide improved access to underserved populations that do not have it. In most universities, for example, including the one at which I teach, mental health services have been perennially overloaded with demand, especially during the pandemic. How does one improve access so that a student suffering from depression can get help before it is too late?
One
answer is to create digital health solutions, or, to put it more simply,
computer programs or apps that help improve care. These may range from helping
to streamline existing processes, to enabling better and more timely
communications, to providing additional resources, all the way to being actual
therapeutic tools. One of the great things about software solutions is that
they are easy to scale. While a therapist can only see one patient at a time
(and only so many in a day before she collapses in exhaustion), computer
programs know no such limits. We can easily design these to handle as many
users as there is need and at all times of day and night.
The big challenge is
how one begins to train people in this area. Medical software lies at the
intersection of diverse fields such as medicine, law, business and management,
computer science, and engineering (see also the attached video that explains
the cover for the book.) Our contribution is this relatively brief volume that hopefully
gives the reader a broad overview of the whole field including the regulatory
and business aspects, the impact of the clinical environment and the actual
procedures for designing, implementing, and testing medical software. We cover
topics ranging from data privacy to quality management systems to risk
management to machine learning to raising capital for a new venture.
Whether you are a
college student thinking about entering this area, a junior software engineer
in the medical device industry, an entrepreneur trying to create a digital
health startup, a more senior executive in a healthcare business or in
government, or just somebody who wants to know more about this topic, our hope
is that this book will give you an introduction to the many aspects of this
exciting and growing field and an explanation of why things are done the way
they are done.
It is impossible to teach you all that you need as you begin your journey. Our aim is to give you a sense of what you should know, or, to put it more technically, to convert your unknown unknowns (the things that you do not know that you do not know) into known unknowns—things that you are aware that you don’t know—and to provide you with the tools for learning more about them.
Ultimately, the goal of teaching is not to simply transfer information, but to give students the necessary preparation so that they can embark on their own adventures where they will acquire true knowledge from experience. The best we can do is to create for you a map highlighting interesting places to visit and dangerous regions to avoid, as you try to make this world a better place.
Dr. Xenophon (Xenios) Papademetris is a professor of Radiology & Biomedical Imaging, and Biomedical Engineering at Yale. His research interests are in the areas of medical image analysis and the design and implementation of software for medical applications. In addition to co-authoring the textbook "Introduction to Medical Software: Foundations for...
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