Author: | Edward Cessna, Dhanush Balachandran | ISBN: | 9781785887994 |
Publisher: | Packt Publishing | Publication: | February 18, 2016 |
Imprint: | Packt Publishing | Language: | English |
Author: | Edward Cessna, Dhanush Balachandran |
ISBN: | 9781785887994 |
Publisher: | Packt Publishing |
Publication: | February 18, 2016 |
Imprint: | Packt Publishing |
Language: | English |
Enter the era of medical research using mobile devices with the help of this guide on ResearchKit!
This book is aimed at medical researchers with basic iOS coding knowledge and iOS developers looking to create clinical research apps.
ResearchKit is an open source software development framework from Apple that lets you easily create mobile applications for clinical research studies. ResearchKit provides you the ability to orchestrate the administration of tasks and recording of the results. ResearchKit provides tasks in order to perform informed consent, active tasks, and surveys.
Starting with the basics of the ResearchKit framework, this books walks you through the steps of creating iOS applications that could serve as the basis of a clinical research mobile app.
This book will introduce readers to ResearchKit and how to turn your iPhone into into a clinical research tool. The book will start off by installing and building the research framework in line with the researcher's needs; during this, the reader will learn to embed ResearchKit in the application and create a small task.
After this, the book will go a little deeper into creating modules for surveys, consents, and so on. The book will also cover the various aspects of privacy and security with regard to participant data, and how to build dashboards for visualizing medical data and results in line with the researcher's requirements: data backends, JSON serialization and deserialization, and so on.
Readers will be able to fully utilize ResearchKit for medical research, will be able to get more and more patients to participate in their surveys, and will gain insights from the surveys using the dashboards created.
A hands-on guide with ample screenshots for you to follow and learn about ResearchKit. Each topic is explained sequentially and placed in context so that you can get a better understanding of every step in the process of creating clinical research apps.
Enter the era of medical research using mobile devices with the help of this guide on ResearchKit!
This book is aimed at medical researchers with basic iOS coding knowledge and iOS developers looking to create clinical research apps.
ResearchKit is an open source software development framework from Apple that lets you easily create mobile applications for clinical research studies. ResearchKit provides you the ability to orchestrate the administration of tasks and recording of the results. ResearchKit provides tasks in order to perform informed consent, active tasks, and surveys.
Starting with the basics of the ResearchKit framework, this books walks you through the steps of creating iOS applications that could serve as the basis of a clinical research mobile app.
This book will introduce readers to ResearchKit and how to turn your iPhone into into a clinical research tool. The book will start off by installing and building the research framework in line with the researcher's needs; during this, the reader will learn to embed ResearchKit in the application and create a small task.
After this, the book will go a little deeper into creating modules for surveys, consents, and so on. The book will also cover the various aspects of privacy and security with regard to participant data, and how to build dashboards for visualizing medical data and results in line with the researcher's requirements: data backends, JSON serialization and deserialization, and so on.
Readers will be able to fully utilize ResearchKit for medical research, will be able to get more and more patients to participate in their surveys, and will gain insights from the surveys using the dashboards created.
A hands-on guide with ample screenshots for you to follow and learn about ResearchKit. Each topic is explained sequentially and placed in context so that you can get a better understanding of every step in the process of creating clinical research apps.