With Surgence, we work with healthcare organizations every day that are trying to solve the same fundamental challenge: how to ensure providers have what they need to care for patients, exactly when they need it, without carrying unnecessary excess inventory.
That balance, availability without waste, is incredibly difficult in healthcare. And one of the most powerful levers we have to get it right is forecasting.
When forecasting is accurate, efficient and collaborative, it improves product availability, reduces cost and waste and ultimately protects patient care. When it isn’t, organizations end up reacting instead of planning. Unfortunately, across much of healthcare today, forecasting still falls into the latter category.
Where Forecasting Stands Today
From what we see across provider organizations, forecasting is still largely retrospective and siloed. Teams pull data from multiple systems, reconcile it manually, and spend significant time debating whose numbers are “right” rather than acting on shared insight.
In many cases, forecasting shows up as a monthly report instead of an ongoing conversation. By the time decisions are made, the data is already outdated and the opportunity to proactively course-correct has passed.
The most meaningful advance we’re seeing is a shift away from that model and toward earlier signals and shared visibility. Forecasting is becoming a continuous, cross-functional dialogue that includes supply chain, clinical, finance and external trading partners. That shift alone materially improves confidence, alignment and outcomes.
Why Disruptions Are So Hard to Forecast
One of the biggest challenges in forecasting is predicting supply disruptions and part of the reason it’s so difficult is that “disruption” means different things depending on where you sit.
For manufacturers, it might be due to raw material shortages, shipping delays or production constraints. For distributors, it could be transportation delays or allocation changes. For providers, disruption is much more concrete: product doesn’t arrive when care is scheduled.
The signals that indicate disruption exist, but they’re fragmented across organizations and systems. What makes forecasting disruptions more effective is aligning early indicators, lead times, demand shifts, upstream constraints and even geopolitical factors, so disruptions can be anticipated instead of simply reacted to.
That level of anticipation requires collaboration and shared context, not just better spreadsheets.
The Reality of Data Sharing Maturity
Most healthcare organizations today sit somewhere in the middle of the data sharing maturity curve.
Manual files still exist. EDI and APIs help move transactions efficiently, but they rarely provide the planning context needed for forecasting and collaboration. While point-to-point integrations can solve immediate problems, they don’t scale well. Every new partner adds complexity, and teams often spend more time maintaining integrations than using the data to improve decisions.
What organizations really need is automation that reduces effort, not adds to it, so teams can focus on planning, not plumbing.
Why Healthcare Forecasting Is Different
Forecasting is harder in healthcare than in many other industries because demand isn’t driven by consumer behavior alone, it’s driven by patient need.
You can’t apply a retail or consumer goods model directly to healthcare. Clinical variation, emergent cases, seasonal illness and ethical constraints all introduce volatility. While other industries offer useful concepts, healthcare requires forecasting approaches that respect the realities of care delivery.
The challenge isn’t borrowing best practices, it’s adapting them without forcing models that don’t fit.
Focus on an Ecosystem Approach
With Surgence, we emphasize a data sharing ecosystem because one-off integrations simply don’t scale.
An ecosystem approach allows data to be normalized, enriched and computed once, rather than repeatedly across dozens—or hundreds—of point connections. The value compounds over time.
First, organizations gain a clear, trusted view of their own supply chain. Next, they can collaborate directly with trading partners using shared data and shared signals. Ultimately, the industry benefits from a composite view that supports predictive insights and greater supply chain resilience.
That’s where transformation really happens, not in isolated improvements, but in shared understanding.
Advice for Organizations Getting Started
For organizations just beginning this journey, the advice is simple: start practical.
Don’t aim for perfect, aim for progress. Align on a small set of critical signals. Shorten feedback loops. Make forecasting a routine, cross-functional conversation instead of a periodic exercise.
Most importantly, use data to ask better questions, not assign blame. Forecast accuracy improves with trust, iteration and collaboration. When teams and partners work from the same view of reality, decisions get better and faster.
Looking Ahead
Resilient supply chains aren’t built on perfect predictions. They’re built on shared visibility, shared accountability and the ability to act together when conditions change.
That’s the future of healthcare supply chains and it’s a future worth building together.
