How to predict on-time delivery of medications to patients, regardless of logistical challenges or carrier delays

Pharmacists know that the slightest delay in the administration of critical medications can interrupt patient treatment schedules, negatively impact lives and result in millions of dollars in lost business.

Healthcare providers whose businesses rely on on-time delivery of medication packages to their patients appreciate the myriad of hurdles that can arise at any time along the medication delivery journey. Unexpected weather events, compromised transportation routes, carrier-specific logistical challenges, incorrect address information, recipients not present to sign for their packages – the list goes on.

Managing patient communication and improving patient engagement is never more vital than letting patients know that medications won’t be delivered on time. Pharmacists know that even the slightest delay in administering lifesaving medications can interrupt patient treatment schedules, negatively impact lives, increase liability and result in millions of dollars in lost business.

In Enhancing Patient Engagement With Timely and Effective Digital Outreach Programs, we correlated greater patient engagement with a pharmacy’s ability to leverage multiple communication channels, such as email and mobile text messaging, by adapting them to the preferences of today’s informed consumer. The ability of specialty pharmacies to predict barriers to patient drug delivery prior to shipment and prevent package delays is critical to meeting patient needs with on-time drug delivery while reducing the operational costs of the pharmacy. pharmacy.

Package tracking technology with predictive analytics exists today. Pharmacies can get visibility into carrier schedules, real-time package tracking along the delivery journey, analytics to manage risk, and insights to ensure packages arrive on time, no matter what. regardless of the weather conditions or the carrier’s logistical delivery conditions.

Artificial Intelligence (AI) and two key components of AI

AI is perhaps one of the most significant technological advancements that has disrupted virtually every aspect of our lives. Predictive analytics uses historical and current data to make predictions.

Although this concept has been around for decades, AI brings increased speed, scale, accuracy and diversity to applications. AI systems can access and analyze an incredible amount of data in the blink of an eye, allowing them to perform tricks around yesterday’s technology and prediction processes.1

From tracking and managing packages to rescuing and delivering medications, AI is helping to dramatically improve outcomes for patients around the world and the pharmacies that serve them.

The data-powered AI solution to predict on-time parcel delivery

The computational and predictive power of machine learning leveraging package tracking data across multiple carriers can help healthcare providers plan into the future and identify new patterns in tracking and delivery data packages. Through years of analyzing data and delivery patterns across multiple carriers, specialty pharmacies can extract massive amounts of information and turn it into something meaningful and actionable.

For example, specialty pharmacies can understand which carrier service delivery levels are most consistent in certain states and zip codes and prevent re-shipments and returns of medication to patients before shipping begins. This can mean reduced product loss, reduced costly product loss and a better customer experience.

The net effect of AI, machine learning and predictive analytics

What happens when a package is delayed due to an issue earlier in the carrier’s route? What happens when a package is shipped to a patient’s home for the third time and they still aren’t there to sign for it? Or when the temperature of the packaging becomes too high for the drug to be used safely?

AI, machine learning and predictive analytics can help reduce and prevent the effects of these barriers by:

  • Deconstruct carrier routes and analyze delivery patterns.
  • Increase the number of on-time therapy deliveries.
  • Predict distress zones and enable specialty pharmacies to avoid distress zones and hold or reroute packages.
  • Prevent or resolve costly drug losses and recoveries.
  • Proactively keep patients informed of package delays.

What happens when specialty pharmacies exclude AI from package management?

Let’s look at what happens when specialty pharmacies decide not to use AI in their parcel management strategies.

  • Specialty pharmacies struggle to know which geographic areas or transport routes will be affected by weather events before packages are dispatched.
  • Overhead costs for specialty pharmacies increase exponentially as they hire more people to cope with the growing number of drug packages.
  • It is more expensive to evolve people than technology. For every additional 500 packages shipped per week, think about the number of resources needed to handle the growth.
  • Specialty pharmacies lose efficiency and productivity gains. Manual and time-consuming processes performed by people are not efficient.

What to look for when choosing a solution provider

Selecting a solution provider to improve pharmacy operations, reduce costs, and enhance patient engagement doesn’t have to be a daunting task. Here’s a checklist to help you decide which package tracking and data provider is best for minimizing distressed packages, expensive medication delays, and costly write-offs:

  • Do they have extensive historical patient medication tracking data across multiple carriers?
  • Do they offer healthcare industry expertise and understand the compliance implications?
  • Can they predict package distress forecasts, how many data sources do they pull from, and how much historical data can they access to provide meaningful insights?
  • Can they provide real-time, carrier-independent, multi-day insights into deliverability risk by postcode?
  • Do they offer a user-friendly web interface that call center agents can easily access?

Specialty pharmacies across the country are beginning to leverage AI to ensure more on-time drug deliveries to patients, safe from human and carrier error, roadblocks and inclement weather. along the parcel’s journey.

About the Author

Sebastian Pistritto is Vice President of Marketing for ParcelShield, a company that provides predictive analytics and support services that reduce risk to shippers and improve patient or end-user satisfaction. Focused on specialty pharmacies, pharmaceutical manufacturers, mail-order pharmacies, and high-value non-pharmaceutical businesses, ParcelShield has predictive artificial intelligence and machine learning models that provide real-time insights, independent of the operator, on the risks of deliverability to prevent the distress of packages before it happens.

Reference

  1. gartner.com/it-glossary/predictive-analytics-2/

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