Health Informatics and Co-Innovation:
Connecting Patients, Clinical Practice,
and Technology
Jérôme Galbrun
Abstract Healthcare has become a growing challenge for many societies in terms of
access by the population and cost in the national budget, demonstrating its importance across countries and disease areas. Healthcare systems are under pressure:
more of us are living longer and more of us are living with chronic medical
conditions, leading to soaring healthcare spending.
To cope with these issues, innovation in healthcare led to the recent emergence of
meaningful informatics technology solutions, looking at the adoption of health
informatics (HIT), from Electronic Health Records/Electronic Medical Records
(EHRs/EMRs) to Advanced Visualization and Picture Archiving Communication
Systems (PACS) in radiology and cardiology departments. To understand this
underlying technology change in medical practice, we first advocated an evolutionary perspective to analyze this specific innovation, where variation, selection, and
retention processes occur based on some empirical evidence.
This directed us to view innovation in health informatics as a co-innovation
service model where heterogeneous agents interact to combine technological change
and clinical practice into patient-centric solutions. This results in exploring emerging
trends such as artificial intelligence and its implication in terms of contributing
toward the goal of precision medicine and better outcome for patients.
Keyword Health informatics · Co-innovation · Medical technology · Clinical
practice · Artificial intelligence
J. Galbrun (*)
Global Business Development Management Leader, Connected Care Informatics at Philips,
Eindhoven, Netherlands
e-mail: Jerome.Galbrun@philips.com
© Springer Nature Singapore Pte Ltd. 2021
H. Matsushita (ed.), Health Informatics, Translational Systems Sciences 24,
https://doi.org/10.1007/978-981-15-3781-3_6
101
Connecting Patients, Clinical Practice,
and Technology
Jérôme Galbrun
Abstract Healthcare has become a growing challenge for many societies in terms of
access by the population and cost in the national budget, demonstrating its importance across countries and disease areas. Healthcare systems are under pressure:
more of us are living longer and more of us are living with chronic medical
conditions, leading to soaring healthcare spending.
To cope with these issues, innovation in healthcare led to the recent emergence of
meaningful informatics technology solutions, looking at the adoption of health
informatics (HIT), from Electronic Health Records/Electronic Medical Records
(EHRs/EMRs) to Advanced Visualization and Picture Archiving Communication
Systems (PACS) in radiology and cardiology departments. To understand this
underlying technology change in medical practice, we first advocated an evolutionary perspective to analyze this specific innovation, where variation, selection, and
retention processes occur based on some empirical evidence.
This directed us to view innovation in health informatics as a co-innovation
service model where heterogeneous agents interact to combine technological change
and clinical practice into patient-centric solutions. This results in exploring emerging
trends such as artificial intelligence and its implication in terms of contributing
toward the goal of precision medicine and better outcome for patients.
Keyword Health informatics · Co-innovation · Medical technology · Clinical
practice · Artificial intelligence
J. Galbrun (*)
Global Business Development Management Leader, Connected Care Informatics at Philips,
Eindhoven, Netherlands
e-mail: Jerome.Galbrun@philips.com
© Springer Nature Singapore Pte Ltd. 2021
H. Matsushita (ed.), Health Informatics, Translational Systems Sciences 24,
https://doi.org/10.1007/978-981-15-3781-3_6
101