Much has changed since AI Sweden launched the first edition of the "Handbook for information-driven healthcare" in 2021. Now, an updated edition is being released with both revised and newly written chapters.
Furthermore, more authors are participating, sharing experiences from their work over the past few years. Consequently, the book provides current insights and practical guidance on how the use of data and AI can contribute to benefits and create change in Swedish healthcare.
– Healthcare faces well-known challenges going forward, but the opportunities are greater, says Markus Lingman, one of the book's three editors.
The cover of 'Handbok för informationsdriven vård och AI', Markus Lingman, Lorna Bartram and Nina Lahti.
AI Sweden, together with representatives from Halmstad University and Karolinska University Hospital, are the editors of the new edition, which is published by Studentlitteratur.
One of the editors is Markus Lingman, adjunct professor, healthcare management strategist, and specialist physician in Region Halland. He sees great potential in data-driven healthcare.
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Healthcare faces well-known challenges going forward, but the opportunities are greater. In the book, we share how to make more accurate decisions by utilizing and acting on the enormous amount of information generated in a digital healthcare context.
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Markus Lingman
Adjunct professor, healthcare management strategist, and specialist physician in Region Halland
AI is already contributing significant value to healthcare by streamlining the healthcare system, improving the working environment for staff, and enhancing the care patients receive. Today, AI is used to detect lung cancer, reduce fall accidents in hospital wards, and optimize resource allocation, to name a few examples among the nearly 200 mapped AI initiatives across the country.
The key to success is leadership and collaboration. That's according to Lorna Bartram, who leads and coordinates AI Sweden's work in healthcare, and who is also one of the book's editors.
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The adoption of AI is not an IT issue, but requires broad cooperation across professions and between different operations. No one person or organisation can possess all the knowledge alone. This book plays an important role in bringing together these different perspectives that are necessary to create change with data and AI in healthcare.
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Lorna Bartram
AI Transformation Strategist - Healthcare
The new edition has undergone a comprehensive update. Technology and the state of knowledge are developing rapidly, which has led to the book being broadened with new perspectives and several entirely new chapters. Examples of newly written chapters include "What is Information-Driven Healthcare?", "Organizing for AI and Information-Driven Healthcare," "Implementation of AI in Healthcare," and "Networks and Collaboration as Enablers."
The first edition of the handbook was developed within the framework of the innovation program Information-driven healthcare, which ran from 2019 to 2024 and was funded by Vinnova, with the aim of accelerating the transition to information-driven and personalized care in Sweden.
The book was the result of broad collaboration with a large number of actors from across the country and quickly became a valued and important resource. It has been widely used in both healthcare and academia. In prehospital care in Region Stockholm, the book has inspired new methods for improving resource allocation and decision-making, and the book has also been used as course literature at Halmstad University and the University of Gothenburg.
The value of the book lies in gathering proven experiences and methods for how to concretely use data and AI, based on insights from those who have already taken these steps.
– In a complex and rapidly growing field where many individuals and organizations still lack practical knowledge, and where we are largely building the tracks as we go, my hope is that this book will serve as both inspiration and concrete guidance. Being able to learn from the experiences of those who are already further along is incredibly valuable. I hope that readers will find the subject relevant and important and will be inspired to get involved in creating concrete improvements that lead to more personalized, equitable, and sustainable care, says Lorna Bartram at AI Sweden.
Information-driven care is a concept inspired by Harvard Professor Ziad Obermeyer and the Institute for Information Driven Medicine at Harvard University. Information-driven care is based on the systematic use of data to improve both quality and efficiency throughout the care chain.
The first edition of A handbook for information-driven healthcare was published by AI Sweden in 2021, within the framework of an innovation programme aimed at transitioning to information-driven personalised care for all in Sweden. The handbook was the result of a collaboration between a large number of actors across the country, including Vinnova, Region Halland, Halmstad University, SKR – Swedish Association of Local Authorities and Regions and Karolinska University Hospital.
The innovation environment Information-driven healthcare was funded by Vinnova.
Markus Lingman (ed.) Adjunct professor at Halmstad University, researcher at Sahlgrenska Academy, management strategist and medical specialist in Region Halland. Governmental Scientific Council for Medicine and Health at the Swedish Research Council
Lorna Bartram (ed.) Leads and coordinates healthcare initiatives at AI Sweden. Former environmental leader of the national Vinnova-funded innovation environment Information Driven Care. Previous background as digitalisation strategist at Sahlgrenska University Hospital
Nina Lahti (ed.) Innovation Strategist at Karolinska University Hospital. Previously employed as AI Transformation Strategist - Healthcare at AI Sweden and has been the environmental leader of the national Vinnova-funded innovation environment Information Driven Care
Farzaneh Kobra Etminani, Senior Lecturer in Machine Learning at Halmstad University and strategist in Region Halland
Peter Kelly, Resident physician and researcher at Sahlgrenska University Hospital
Magnus Kjellberg, Director of the AI Competence Centre. Sahlgrenska University Hospital
Ola Lövenvald, Data scientist and data warehouse architect in Region Halland
Jens Nygren, Professor of Health Innovation at Halmstad University
Mattias Ohlsson, Professor of Information Technology at Halmstad University and Professor of Theoretical Physics specialising in Machine Learning for Medical Diagnostics at Lund University
Carolina Samuelsson, Hospital manager at Halland Hospital in Region Halland
Torkel Strömsten, Associate Professor at the Stockholm School of Economics and Adjunct Professor at Halmstad University
Petra Svedberg,Professor of Nursing at Halmstad University
Henrik Vennersten, IT architect in Region Halland