Reverse Pitch Forum
Schedule
Wed May 27 2026 at 05:30 pm to 08:30 pm
UTC-04:00Location
University of Toronto | Toronto, ON
The Reverse Pitch Forum is a working session built around real problems.
Instead of presenting solutions, invited pr
About this Event
Event Description
The Reverse Pitch Forum is a working session that inverts the traditional pitch format. Validated structural problems are presented to a room with the capability to address them.
Two practitioners will each present one specific challenge from their work, drawn from the Canadian Institute for Health Information and biomanufacturing.
Two problems, fifteen minutes each. Participants then work in small groups to break each problem down, understand why it persists, and outline directions for solving it.
Why Attend
You will engage directly with problems that are already slowing down real systems, alongside people who operate within them. The focus is not on discussion alone, but on understanding constraints, aligning perspectives across roles, and identifying concrete paths forward.
For those building, operating, or shaping systems, this is a chance to step into the point where progress breaks down and work on it with others who see different parts of the same problem.
Ideal For
- Builders: engineers, data scientists, product developers
- Operators: clinicians, researchers, manufacturing and regulatory professionals
- Translators: venture and commercialization leads
- Policy and strategy: government and system-level decision-makers
Program
- 5:30 to 5:50 Arrival and networking
- 5:50 to 6:00 Opening remarks
- 6:00 to 6:30 Reverse pitches
- 6:30 to 6:40 Problem selection and group formation
- 6:40 to 7:40 Working session
- 7:40 to 8:10 Group readouts
- 8:10 to 8:30 Closing and networking
Pitchers
Anne Forsyth: Director, Hospital Data Transformation, Canadian Institute for Health Information
Accurate coding of hospital data is a foundational component of the health system. Health information management professionals translate complex hospital patient encounters into standardized data that supports funding, performance measurement, research, and system planning. As clinical documentation becomes more detailed and reporting requirements continue to expand, the volume and complexity of coding work have grown significantly. In Canada, the Canadian Institute for Health Information (CIHI) plays a central role in establishing coding standards, maintaining classification systems, and providing comparable and actionable data and information that are used to accelerate improvements in health care, health system performance and population health.
For the vendor community, this presents both a challenge and an opportunity. Health organizations are seeking solutions that can help manage increasing workloads, support consistency, and maintain high data quality—without overburdening already constrained human resources. Assisted coding solutions are emerging as a critical enabler in this space. By leveraging technologies such as natural language processing and machine learning, these tools can surface relevant documentation, suggest codes, and streamline routine tasks. Importantly, they are designed to augment coder expertise, not replace it—supporting more efficient workflows while preserving the clinical judgment required for complex cases.
Products that can demonstrate alignment with CIHI standards, integrate seamlessly into coding workflows, and deliver measurable improvements in quality and efficiency will be well positioned to support the next generation of health data infrastructure.
The Translation Problem: Disconnects between research, manufacturing, and regulatory systems prevent scale.
To Be Announced
Sponsors
Venford - Intelligence for the world's most forward-thinking organizations.
About
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Where is it happening?
University of Toronto, 115 King's College Cir, Toronto, ON M5S 3H7, CanadaEvent Location & Nearby Stays:
CAD 0.00
