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Enhancing diagnostic innovation by leveraging the co-creation approach.

Jochen K Lennerz1, Alexandra Farfsing2, Tim-Rasmus Kiehl3

  • 1Boston Gene, Waltham, MA, USA.

Journal of Pathology Informatics
|July 21, 2025
PubMed
Summary

This study introduces a co-creation framework to accelerate personalized diagnostic innovations. Collaborative ecosystems foster community, integrate diverse perspectives, and drive scalable solutions for advanced healthcare.

Keywords:
Artificial intelligenceAutomationBiomarkersCo-creationCo-innovationDigitizationPre-competitive space

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Area of Science:

  • Healthcare Innovation
  • Digital Health
  • Personalized Medicine

Background:

  • Digital innovation in precision diagnostics faces challenges in implementation, adoption, equity, and sustainability.
  • Bridging interdisciplinary silos is crucial for advancing personalized healthcare solutions.
  • A collaborative approach is needed to overcome barriers in diagnostic development.

Purpose of the Study:

  • To introduce and evaluate a co-creation framework for driving collaborative innovation in personalized diagnostics.
  • To leverage the pre-competitive space for developing and implementing novel diagnostic solutions.
  • To demonstrate a scalable model for accelerating the advancement of personalized healthcare.

Main Methods:

  • A 5-year multidisciplinary co-creation framework involving stakeholders from computational pathology, oncology, genetics, digital medicine, and industry.
  • Design-thinking workshops were utilized to identify unmet medical needs and co-develop solutions.
  • Implementation and evaluation of pilot projects resulting from the co-creation process.

Main Results:

  • Fifteen pilot projects were initiated, with seven successfully implemented, including an automated lab system.
  • The co-creation approach fostered strategic alignment, community building, and integration of diverse perspectives.
  • Tangible outputs included datasets, publications, and resources, alongside intangible benefits like networking and market insight.

Conclusions:

  • The co-creation framework effectively accelerates diagnostic innovations and provides a scalable model for personalized healthcare.
  • Collaborative ecosystems are essential for addressing interdisciplinary challenges and promoting patient-centered solutions.
  • This approach facilitates adaptation to evolving regulatory landscapes, acting as a catalyst for healthcare transformation.