There’s a Five Level Roadmap for the “Autonomous Pharmacy” Modeled Directly on Self Driving Cars

If you want the single clearest mental model for where pharmacy operations are headed, it isn’t a buzzword. It’s a literal borrowed framework from another industry that already lived through this exact transition, and pharmacy leadership has been quietly building it for years.

Where This Framework Actually Came From

Health-system pharmacy leaders formed the Autonomous Pharmacy Advisory Board, a group of chief pharmacy officers and operational leaders, with the mission of transforming pharmacy care delivery through technology to achieve a fully autonomous pharmacy.

The Advisory Board has coalesced around a clear vision of a fully autonomous pharmacy. It developed a framework identifying five levels of increasing technological capability and work process improvement, spanning nine pharmacy work processes. The goal is near error-free medication management that optimizes the benefits and minimizes the harm and costs of medication use. The cost of medications comprises one-seventh of all healthcare spending, roughly $508 billion per year, and today’s medication-use process involves many inefficient, manual work processes that are complex, highly variable, and error-prone. The current way of operating puts everyone involved at undue risk.

The board didn’t invent this five-level structure from scratch. They borrowed it deliberately from an industry that had already done the hard work of defining what automation means at each stage.

How the Car Analogy Actually Works

SAE International’s J3016 standard establishes six levels of driving automation, from 0, no automation, to 5, full automation. Level 3, conditional driving automation, describes sustained performance by a driving automation system of all tactical and operational driving tasks, with the expectation that the driver remains receptive to requests to intervene in case of system failures and will respond appropriately. Level 4, high driving automation, describes sustained performance of all driving tasks without any expectation that a user will respond to a request to intervene, though the system must be capable of reaching a minimal risk condition if its operational limits are reached. Level 5, full driving automation, describes unconditional performance of all driving tasks with no expectation that a human will ever need to respond.

The critical distinction in this framework, and the one that matters most for pharmacy, is what happens at each level to human responsibility. At Level 0 through 2, the human is always fully responsible and must monitor constantly, even when the car is doing some of the work. At Level 3, the system does the driving, but the human must remain ready to intervene when asked. At Level 4, the system handles essentially everything within a defined operational domain, and human intervention becomes the exception rather than the expectation. Level 5 removes the human from the loop entirely.

How Pharmacy’s Framework Maps to This Scale

Pharmacists are heavily engaged in distribution with little direct patient interaction at the lowest levels of the framework, with technicians and nurses spending time on manual drug management including purchasing, locating, and counting. At slightly more advanced levels, pharmacists remain largely focused on distribution and verification, with technicians and nurses manually responsible for most drug management, supported by light automation.

This is the uncomfortable part most pharmacists haven’t confronted directly: the lowest levels of this framework describe what a significant share of current pharmacy practice still looks like. Automated dispensing cabinets and barcode verification represent meaningful progress over a fully manual system, but they still place the pharmacist primarily in a distribution and verification role rather than a clinical judgment role.

Where Health Systems Actually Stand Today

This is not a theoretical exercise. The Advisory Board has already collected real data on where the industry sits.

The Autonomous Pharmacy Advisory Board developed a self-assessment instrument based on the published Autonomous Pharmacy Framework and made it available for health systems to complete. A total of 119 facility-level self-assessments were completed and analyzed between March 2021 and January 2023. On a scale of 1 to 5, where 1 represents little or no data-driven automation with lots of manual tasks and 5 represents the utmost data-driven automation with few manual tasks, the average overall facility-level score was 2.77, with results ranging from 1.38 to 4.41. Results revealed much more variation in the degree to which individual facilities have automated core processes like inventory management, intravenous medication preparation, and financial reporting.

An average score of 2.77 on a five-point scale tells you precisely where the industry sits today: solidly in the middle, with automated dispensing, barcode verification, and partial EHR integration, but with humans still performing most of the cognitive and judgment work. The wide range, from 1.38 to 4.41, tells you something equally important: some health systems have already climbed significantly higher than others, and the gap between the most advanced and least advanced facilities is substantial.

What the Framework Is Actually For

The five-level framework allows facilities to conduct a self-assessment of where they currently sit. The framework supports strategic planning and assessment, helping health systems benchmark and measure progress over time, while also shaping policy and promoting consensus standards for interoperability.

That last function, shaping policy and promoting interoperability standards, connects this framework directly to the PAI 2030 initiative covered in a prior issue of this newsletter. PAI 2030 includes 59 streamlined and updated recommendations to promote optimal, safe, effective medication use, expand pharmacist and technician roles, and implement the latest technologies. The ASHP Board of Directors approved five time-bound focused initiatives to accelerate movement toward specific goals, with one initiative specifically directed at leveraging and utilizing technology to optimize pharmacist provision of care to patients, including a target to increase by 20% the number of health systems using analytics and technology to reduce the risk of adverse drug events or suboptimal outcomes.

The Autonomous Pharmacy Framework is, in effect, the operational measurement tool that lets a health system know whether it is making progress on that PAI 2030 technology goal, or simply talking about it.

The Uncomfortable and Exciting Truth Inside the Car Analogy

Here is what the framework reveals once you sit with the comparison rather than treating it as a marketing slide.

Nobody is anxious about Level 2 self-driving cars putting drivers out of work. The human is still doing all the meaningful judgment, just with better tools assisting them. The anxiety, and the opportunity, shows up at Level 4 and Level 5, where the system starts making consequential decisions with minimal or zero human oversight.

Pharmacy, based on the 2.77 average self-assessment score, is nowhere near that territory. Most health systems sit comfortably in Level 2 to low Level 3 equivalent territory, where automation handles routine, repeatable tasks while the pharmacist remains the decision-maker for anything requiring genuine clinical judgment. And there is a serious argument, raised by pharmacy leaders themselves, that the profession arguably shouldn’t ever fully reach Level 5 given the clinical stakes involved in medication management, unlike a car accident, a medication error can kill someone through a mechanism that took years to manifest and is much harder to immediately detect and correct.

But the honest reading of this framework is that pharmacy leadership itself has already concluded automation is going to climb several more levels over the coming decade. The Advisory Board did not build a five-level framework, recruit chief pharmacy officers from major health systems, publish a white paper in AJHP, and run a 119-facility benchmarking survey because they expected the industry to stay at Level 2 indefinitely. They built this framework specifically because they expect the climb to continue, and the explicit goal of building it now, deliberately and with industry consensus, is to make that climb intentional rather than chaotic.

What This Means for the Pharmacist’s Job a Decade from Now

If the car analogy holds, and the structure of the Autonomous Pharmacy Framework suggests it was built to hold, then the pharmacist’s job ten years from now is overwhelmingly likely to look like the job of a Level 3 to Level 4 human supervisor in an autonomous vehicle system. Not doing the routine driving, but exercising judgment at the edges, handling the genuinely hard cases the system flags, and being accountable for outcomes in a way no algorithm currently can be.

That is not a smaller job. It concentrates the pharmacist’s time and training entirely on the parts of pharmacy practice that actually require a doctorate-level human being: the precision oncology consultation covered in earlier issues of this newsletter, the deprescribing protocol for a patient on five interacting medications, the dysesthesia signal that a patient describes in a way an automated system would never flag, the clinical judgment call about whether an AI-generated interaction alert actually matters for this specific patient’s specific situation.

This is the same Zone 2 role, the technology interpreter, mapped in the “Pharmacist of 2030” issue of this newsletter several months ago. The Autonomous Pharmacy Framework is the operational infrastructure that makes that zone concrete and measurable at the institutional level, rather than an abstract career strategy concept.

Your Action This Week

Find out if your health system or pharmacy organization has run an Autonomous Pharmacy self-assessment. The Autonomous Pharmacy Advisory Board has defined the stages toward achieving a fully autonomous pharmacy and the benefits of progressing to each level, and the self-assessment tool is publicly available for any institution to download and complete.

If your organization has already completed one, ask to see the results. Find out exactly where your facility sits on the five-level scale, which of the nine pharmacy work processes score highest and lowest, and what the roadmap looks like to climb a level. That conversation tells you precisely where your institution is investing its automation budget and where the biggest near-term opportunities for clinical role expansion sit.

If your organization hasn’t run one, be the person who asks for it. A pharmacist who walks into a leadership conversation already fluent in the Autonomous Pharmacy Framework, who can reference the 2.77 industry average benchmark, and who can articulate specifically which of the nine work processes their facility should prioritize next, is positioning themselves as a strategic voice in a conversation that will determine the shape of pharmacy practice for the next decade.

Knowing exactly where your organization sits on this framework and pushing it intentionally toward higher levels with full awareness of what each level actually changes about the pharmacist’s role, is one of the most strategically valuable things a forward-thinking pharmacist can do with their professional influence right now.


Sources: Omnicell (The Potential Value Industry Leaders See in the Autonomous Pharmacy; Autonomous Pharmacy: Enhancing Efficiency and Patient Safety; Autonomous Pharmacy Framework Resource), Autonomous Pharmacy Advisory Board (autonomouspharmacy.com), American Journal of Health-System Pharmacy / Oxford Academic (Facility-Level Self-Assessment of Autonomous Pharmacy Framework Levels, April 2024), ASHP (PAI 2030 Focused Initiatives; PAI 2030 Pharmacy Educators Resource Center), Pharmacy Times (ASHP’s Practice Advancement Initiative Aims for National Impact With New Recommendations, May 2026), arXiv (From Driving Automation Systems to Autonomous Vehicles: Clarifying the Terminology, SAE International J3016 Standard Reference)

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