Making Evidence-based Decisions in a World of Fake News
Location: Cambridge Innovation Center, Cloud City, 14th floor, 101 Main Street, Cambridge, MA 02142
Overview: In our real-world healthcare situations we want to understand everything we can to make the best decisions, based on all available knowledge or knowledge we can create within the constraints of time and resources that we have. In this InnovationWell Café we will start with consideration of the patient situation and the pressures faced by them and the surrounding system they are contained by. From this starting point, we will consider what the emerging world of scientific research can provide as predictive models, biomarkers and evidence supporting decision making that can be used by patient and physician. Finally, we will extend our conversations to include the industry perspective in responding with business solutions, stretching from emerging approaches to sounder and safer use of drugs through to the disruptive world of digital healthcare and its great variety of sources and quality of data.
One of the great risks of the current vortex of “Fake News” is that it leads to “Fake Decision-Making”. Scientific research is not immune to this risk. A new evidence-based framework is needed so that decisions are made that we can trust and believe in. During our discussions on Evidence-based Decisions within InnovationWell, let us ponder a few questions:
- What Social, Technical, Scientific, Legal and Regulatory Structures best support best decision-making? Do we need new structures to strengthen evidence-based decision-making?
- As humans, our decisions are strongly influenced by emotions, experience and personal motives. Can we coach and collaborate with each other to reach better decisions?
- How can we transfer specialist knowledge into evidence that is more effective and useful in decision-making contexts?
- How can we influence patients to comply with medical guidance and best practice?
- What happened to our original ideas for the Internet and the World Wide Web and what could be a new Social Media where we have trust in knowledge rather than trolling, fake news and manipulations?
- Do AI specialists understand the decisions of deep learning? If not, how can we communicate the value, trust, and limitations in such a source of knowledge in our weight of evidence?
- What new social and business structures would support long-term value, returns, and prosperity?
In discussing and answering such questions, we aim to make progress in determining key ingredients for new evidence-based solutions. The conversations we have will contribute to a Declaration of a Better-practice for Evidence-based Decision Making in Healthcare.
Event Speakers and Facilitators include:
- Barry Hardy (CEO, Douglas Connect)
- Bruce Kristal (Associate Professor, Brigham and Women's Hospital)
- Tonya Hongsermeier (VP and Chief Medical Information Officer at Lahey Health)
- Laszlo Urban (Global Head of Preclinical Safety Profiling, Novartis Institutes for Biomedical Research)