Supply chains have different layers or “tiers”:
Most U.S. healthcare groups know their tier-one suppliers pretty well. But studies show that knowledge and control drop a lot beyond that level.
A survey by Deloitte found that only 15% of senior procurement officials could see beyond tier-one suppliers. This gap leaves healthcare providers at risk from problems farther down the supply chain. Many disruptions start below the first tier, but without enough insight, these risks go unnoticed and are not managed until they cause problems.
There are several reasons why it is hard to see beyond tier-one suppliers:
The lack of visibility beyond tier one causes big risks. Studies say more than half (51%) of supply chain problems happen at tier two or lower. For healthcare providers, these problems can mean delays in getting important medical supplies, drug shortages, or breaking rules.
Everstream Analytics highlighted that global supply chain disruptions can cost about $184 billion each year. For healthcare, these disruptions can delay patient care and raise costs.
Ulf Venne from Everstream Analytics said something important: only 2% of companies have full visibility beyond tier two. This shows a huge gap in catching and handling risks. When risks from sub-tier suppliers are hidden, shortages, quality problems, and rule-breaking can increase.
The U.S. healthcare sector has taken some actions to make supply chains stronger compared to other industries:
Even with these efforts, healthcare lags behind other sectors in adopting digital tools for supply management. Research from McKinsey shows healthcare is slower to use advanced digital supply chain technologies compared to car making and manufacturing.
Digital change is a key way to improve supply chain visibility and risk handling in U.S. healthcare groups. Some technologies helping with these issues are:
Generative AI and machine learning help analyze large datasets from all supplier tiers. About half of supply chain groups plan to invest in AI and analytics in 2024 for better buying, planning, and shipping.
Groups with AI supply chain tools perform better. McKinsey found companies using advanced analytics are 2.5 times more likely to plan well during disruptions.
AI also helps find risks deep inside the supply chain beyond direct suppliers. Systems like control towers and digital twins create live models of the whole supply chain and warn leaders about problems early.
AI platforms that map and watch sub-tier suppliers are growing in use. Tools like Everstream Analytics’ “Discover” mix AI with expert checks to show hidden supplier links, material flows, and risks beyond tier one.
These tools score risks in real-time for areas like social, environmental, political, and operational dangers. This helps healthcare managers act sooner.
A leader at a global medical device company said AI-powered sub-tier mapping took days compared to years with old methods.
Low-code platforms help link supply chain data systems faster, making it easier to respond quickly to changes. Over two-thirds of companies use these platforms to automate hard tasks in supply chain management.
Automation cuts manual mistakes and speeds up data updates. This is important for healthcare, where fast responses are needed.
Even with good technology, a lack of digital supply chain workers is a big problem. Since 2020, about 90% of companies, including healthcare, say they don’t have enough digital skills inside their teams to meet their tech goals.
This skill gap affects using AI and analytics well. Healthcare leaders and IT managers should:
In healthcare, using AI with workflow automation can make supply chain work and risk management smoother by:
These AI-powered tools lower manual work for healthcare managers, improve deep supply chain visibility, and help teams react quickly when disruptions happen.
Smaller medical practices and outpatient clinics face more challenges with managing supply chain risks because they have fewer resources and fewer direct contracts. They often depend on distributors and group purchasing, which hides visibility past tier one or two.
Medical practice administrators should:
By choosing wisely and using new digital tools, healthcare providers can better protect against unexpected supply chain problems and keep patient care running smoothly.
Medical administrators, owners, and IT managers in U.S. healthcare need to see that handling supply chain risk today requires a broad approach that looks beyond just first-tier suppliers. AI tools and workflow automation offer practical ways to fix these challenges and improve supply chain stability and patient care results.
The pandemic highlighted vulnerabilities, such as a lack of flexibility and resilience in global supply chains, causing firms to rethink their configurations and operations.
93 percent of respondents in a survey indicated intentions to enhance flexibility, agility, and resilience in their supply chains.
Healthcare players adopted a broader range of resilience measures, with 60% regionalizing their supply chains and 33% moving production closer to end markets.
Companies emphasized proactive monitoring of supplier risks, with 95% implementing formal risk management processes post-pandemic.
Organizations with advanced analytics capabilities reported better supply chain planning performance, with successful firms being 2.5 times more likely to use these tools.
An overwhelming majority reported investing in digital technologies, with most planning increased investments for the upcoming years.
The skills gap is widening, with only 1% of companies reporting sufficient in-house digital talent, making it a barrier to accelerated digitization.
Chemicals and commodity players exhibited the smallest overall changes in their supply-chain footprints, largely due to their asset-intensive nature.
Many companies lack visibility into their supply chains beyond tier-one suppliers, with only 2% able to assess risks in third-tier and beyond suppliers.
Almost 90% of respondents expect to pursue some degree of regionalization in the next three years, with healthcare and engineering sectors particularly focused on this strategy.