In this book, we focused on healthcare analytics with the triple aim of healthcare: reducing cost, improving outcomes, and increasing care quality. Now that you have read the book, you can hopefully see more clearly how healthcare analytics can accomplish that. It can reduce healthcare costs by diagnosing problems correctly (with the help of inexpensive machine learning algorithms) and preventing unnecessary tests. It can improve healthcare outcomes by diagnosing problems sooner rather than later, allowing for corrective action to take place. Finally, it can increase quality by determining which hospitals are providing proper and timely care, and rewarding those hospitals for doing so.

With the aim of improving healthcare throughout the world, this book has introduced to you several friends that will help you to achieve that task:

• The Python language, including the base language and external libraries such as pandas and scikit-learn
• The SQL language
• Machine learning algorithms
• Healthcare domain knowledge
• Some math

Thank you for reading about what has become a central goal and mission in my life. Now let's improve healthcare, one model at a time.