Healthcare costs in the United States keep going up. This causes problems for patients, healthcare providers, and organizations. A big part of the cost comes from medications and supplies. People who run medical practices, such as administrators, owners, and IT managers, need to find ways to cut costs. At the same time, they must keep good care and make sure patients are safe. One way to do this is called formulary management. This method helps control drug and supply costs while still meeting clinical needs.
This article explains how formulary management helps lower healthcare costs in the U.S. It also talks about challenges faced in managing medications and supplies. Finally, it shows how artificial intelligence (AI) and automation can help improve decisions and operations.
Formulary management means picking and managing a list of approved medications and supplies for use and purchase. The goal is to keep costs down while making sure treatments work and patients stay safe. Formularies often divide drugs into tiers. These tiers guide prescribers to use effective but lower-cost options, like generics or biosimilars. This also helps limit the use of expensive specialty drugs.
Pharmacy Benefit Managers (PBMs) have a big role in formulary management in the U.S. They design formularies and use strategies like prior authorization, step therapy, and quantity limits. These methods make sure patients get the right medicine and help control unneeded spending.
Spending on specialty drugs and expensive supplies has been rising quickly. This is partly because more people have chronic and complex diseases. Specialty medicines for cancer, autoimmune problems, and rare diseases cost a lot. This makes it hard for healthcare organizations to control spending.
An example comes from a medium-sized city in Michigan. The city worked with Navitus Health Solutions to change from a two-tier to a three-tier formulary system. This change guided patients to effective and lower-cost medicines. Over two years, the city cut total pharmacy costs by 12.5%, more than the expected 8.8% savings. At the same time, the city increased generic drug use by 14.2% by using prior authorization and step therapy for some costly drugs.
Also, getting patients to use mail service for a 30-day supply of regular medicines saved over $150,000 in two years. This story shows how formulary management, along with good use strategies and clear pricing, can reduce drug and healthcare costs effectively.
Besides medicines, hospital supplies make up another large cost. On average, 40% of hospital purchases happen outside the official list of approved items called the item master. More than 60% of these are physician preference items (PPIs). These are supplies chosen by doctors based on their personal likes, not on cost or hospital rules.
This causes problems in supply chain management. For instance, a typical hospital makes about 200,000 supply requests each year. This means a lot of manual work to check item details, contracts, and billing codes. Many items are listed wrong, especially in surgery departments where only about 72% of supplies are correctly recorded in the system. Old or wrong data make it harder to cut costs and can lead to spending too much on unnecessary or expensive items.
Formulary management methods that focus on standardizing and carefully reviewing PPIs can help cut costs without hurting safety or care. Hospitals can use virtual item masters, which are updated and centralized lists. These help reduce buying off-contract supplies and improve control over high-cost items.
Value analysis is a way healthcare groups check the benefits and costs of drugs and supplies. It looks at not just the purchase price but also patient outcomes, environmental impact, and supply chain ease. Having a strong value analysis helps keep costs down while keeping care safe and good.
A current problem is that many supplies are not checked thoroughly before buying. This raises the chance of getting wrong or needless items, causing money loss and care problems. Combining formulary management with value analysis helps make better choices by mixing cost and care needs.
In managing drug costs, understanding a drug’s patent status and lifecycle is important. After patents end, cheaper generic and biosimilar versions often come out. These help lower drug spending. Healthcare groups and PBMs use drug patent databases and market info to watch for patent expiry and get ready to change formularies.
This approach helps timely add low-cost generics and biosimilars to formularies. It also keeps patients getting needed treatment but at a lower price. Partnerships with Contract Development and Manufacturing Organizations (CDMOs) give drug makers flexibility to change production and influence pricing, which affects formularies.
Specialty drugs are some of the most costly healthcare items. They require special management. The MaxCare program is an example of a full plan to manage such costs. It uses formulary management plus steps like prior authorizations and step therapy.
MaxCare also uses data analytics to find how medicines are used and where to improve. It promotes generics when they are available. It offers coupon help so patients pay less. It reviews expensive combination therapies for care and cost efficiency. This model balances care, patient affordability, and cost control. It shows how formulary management can help control specialty drug costs.
Hospitals and clinics are using AI and automation more to improve formulary and supply work.
AI can look at large data from patient records, drug trends, and supply use. It can give guesses about future needs. AI tools can point out the most used drugs and supplies and suggest formularies that balance price and care. They can find off-contract or needless buying so managers can act faster.
In supply chains, AI-powered virtual item masters keep item lists current by updating statuses, removing stopped products, and fixing codes. This cuts down manual work and helps prevent costly mistakes or buying too many items.
Workflow automation speeds up supply requests and stops delays caused by manual checks. Hospitals deal with many requests daily. Automation helps by building item descriptions, checking contracts, and coding billing automatically, saving time and effort.
For example, Simbo AI focuses on automating front-office tasks like phone systems. This can help healthcare by managing appointments and supply orders more smoothly. This lowers admin work and lets staff spend more time on patient care.
Formulary management is an important way to deal with rising healthcare costs in the U.S. It standardizes drug and supply choices, uses data and AI tools, and relies on strong teams between clinical and admin staff. Healthcare organizations can cut costs while keeping good patient care quality. Medical practice administrators, owners, and IT managers can use these methods to find practical ways to reduce costs in a complex healthcare system.
On average, 40% of all purchases are completed outside of the item master, with 60% considered physician preference items (PPI).
Physician preference items contribute to the complexity of requisitions, leading to manual builds which place hospital revenues at risk.
Typically, only 72% of items within a perioperative department are cataloged correctly in a materials management information system (MMIS).
Common issues include outdated information, incorrect coding, and a failure to remove discontinued items.
Formulary management is a lean approach to managing products to balance physician preference with organizational cost reduction.
Hospitals must consider patient safety, efficiency, and environmental impact while attaining spend reductions.
AI can enhance healthcare supply chain solutions by providing detailed product comparisons and driving cost savings through increased standardization.
The goal is to achieve sustained spend reductions while considering safety and efficiency in the acquisition process.
Validating supplies ensures the correct product is obtained and prevents financial losses from incorrect purchases.
A virtual item master enhances standardization and control over high-cost physician preference items, leading to better cost management.
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