Author: Katherine Homann
Data is increasingly available in health care- via wearables, genomics, quality metrics, and countless other sources. Yet applying data to health care decisions hinges on human comprehension. Data visualizations and intuitive design help open the doors between data, understanding and action. This talk reveals Innovations and Best Practices of this frontier between data and design in health care. The design examples and skills in this talk benefit anyone implementing decision support, biomedical diagnostics, personalized medicine, big data analytics, wearable technologies, health robotics, hospital monitoring or other health innovations. Via a scoping review of scientific literature, industry examples and internet identified innovations, high quality health data design is identified. The talk covers the necessity of good design, examples of design best practices, techniques for design creation and evaluation, and a range of actionable innovations. Furthermore, challenges and opportunities for future health design are discussed. We review innovative visualizations via the following core health care areas: 1. Successful design collaboration models 2. Physical space design innovations 3. Visualizing human disease 4. Data, statistics and risk representations 5. Genomic visualization best practices 6. Personalized health data imagery 7. Geographic data representation 8. Outcomes metrics interpretation Design innovations in these range of areas help doctors ‘see’ data to make clinical decisions, and can support decisions in many areas of health care. The range of intuitive visualizations, best practices, techniques for development and evaluation play an increasing role in health care innovation. This talk thus reviews current innovations to help thought leaders better design future data to decisions in healthcare.