How can AI impact Pharmacy in the future?

The limit to this question will be found in the limitation of the human imagination. Pointed in the right direction, and given the right data, there aren’t many areas that AI can’t improve.

• Drug development & efficacy (both linked to genetics)
• Patient compliance
• More data informed patient health & proactive interventions
• Risk assessment & Fraud reduction
• Driverless Delivery
• Sentiment Analysers
• More efficient clinical trials

Not all of these directly impact pharmacy, but pharmacy feels the ripple effects of the shock waves in healthcare.

These are the areas that AI can impact pharmacy. But let’s look in more detail at some of the areas where AI almost certainly will impact Pharmacy in the future.

Driverless Delivery

Driverless cars across all roads are still decades away, say experts in the field of AI. But the rollout of smaller, driverless delivery vans like the type that deliver Domino’s Pizza are on the horizon.

Depending on your model, your preferences and your priorities, you might reject this idea.

“I like my delivery driver and they have a great relationship with the patients,” you say. I think that there’s definitely a big argument for retaining the service of a delivery driver. Especially considering serving an elderly population who aren’t tech savvy. They aren’t going to want to start messing around with PINs sent by text and entering it into the van. And there’s also a strong argument for the social contact that delivery drivers give isolated patients being a part of the service to the community.

However, there is a credible argument for utilising both driverless and driver…ful vans. Just like the Pharmaself24 works alongside your counter staff, the driverless delivery van could be a great addition to your arsenal. It gives a green option to a more tech-savvy, environmentally conscious generation. And a more convenient option to those who don’t need social contact from the delivery driver.

From the perspective of a pharmacy business owner, it’s another case of automation making fiscal sense. Why pay for another delivery driver and a van, when you can just pay once for a driverless van? That isn’t necessarily a rhetorical question, but it’s certainly one you’d consider from a business perspective.

Monitoring Patient Behaviours

AI can revolutionise healthcare, not just pharmacy.

It would rely on some sort of large shared database, as machines, like humans, can only learn from information they have access to. But coupled with Big Data from health apps, medical records and other sources (ideally encrypted, protected from third parties and shared across healthcare institutions) Artificial intelligence should allow frontline healthcare professionals like pharmacists incredible insights to inform patient conversations with.

Imagine having the knowledge that 43 year old men statistically don’t finish their course of antibiotics, or that people from a certain background traditionally don’t respond well to a certain medication. Think about how much great advice you can give. If you weren’t in a care setting, you’d clap your hands together and evil laugh with all the power now at your disposal. And I painted that hyperbolic picture tongue-in-cheek because, naturally, patients still need to be treated as individuals. This sort of power shouldn’t blind us to the need for individual care. But it certainly makes giving tailored care easier.

Wearables

This is an important one for pharmacies to pay attention to for two reasons.

AI knows cardiac patterns which lead to serious issues, and people wearing health tech can be given early warning signs. The more innovation happens with wearables, the more interventions can be made proactively, instead of reactively. Which in healthcare, makes a massive difference. It’s a lot easier to prevent a heart attack than it is to recover from one.

As a pharmacist, there will almost certainly be a consultation opportunity either to address these Early Warning Signs, or to monitor the use of and advise on the data provided by wearable technologies so that it never reaches that stage. AI will do most of the legwork here when it comes to interpreting and analysing the data. As the pharmacist, it will be your job to give tailored advice based on the AI’s findings. Perhaps it’s a dietary change, perhaps an increase in exercise, perhaps it’s a prescription. Either way, it’s very similar to general health checks now, except far more informed by data, not only from that specific patient, but by all the data gathered by wearables.

Pharmacies perfectly positioned purveyors

The second reason this is important for pharmacists, is because pharmacies should already be looking to be leading distributors of wearable health technology. When people buy in-person, it’s because they want advice about the products from experts. Who better to sell wearable health technology than the health professional who works with them? When the world of wearables reaches its peak, you don’t want to be just learning about them. This is a relevant retail offering, and the sooner you get on board, the better for your pharmacy business. Activity trackers are only the beginning of wearable health tech. Innovations in this area will continue to develop, with nano-technology making the wearables less cumbersome and easier to wear. But it is AI, which makes everything possible.

Of course, there’s going to be people who reject wearing technology, for a number of reasons. So it won’t immediately make every patient interaction super easy. But for the ones who do, you can look forward to better informed consultations.

Monitoring Fraudulent Behaviour

It feels as though I read about a struck-off pharmacist every other week for some fraudulent behaviour or other. But the beauty of AI, especially when coupled with shared data, such as from SystmOne, is that once fraudulent behaviour happens, and happens, and happens again, the system learns the unconscious patterns in an organisation that lead to fraudulent behaviour. The financial world deploys similar systems. In fact, $217 billion has been spent on AI systems preventing fraud and assessing risk within the banking industry alone. Obviously, the expense of these systems is large (these systems usually start at around £100k), however, as technology advances, it will grow increasingly more affordable.

It isn’t just pharmacist fraud either. Prescription fraud faces a tough future, (provided we move to a fully digitised system,) not just with AI detecting fraudulent patient behaviour, but also from blockchain technology. Blockchain is actually the better of the two at stopping fraud (certainly for now) as current anti-fraud AI technology doesn’t work in real-time.

Could A.I. go badly for Pharmacy?

We could wish for AI tomorrow and end up regretting embracing the technology too fast, or for the wrong reasons, Black Mirror style.

What’s the worst that could happen?

Well, probably the worst-case scenario is the malevolent use of Big Data. There’s a definite argument for whoever controls the data holding too much power. Especially as corporations, whose primary directive is to make more money, are the ones investing heavily in AI. This is especially true if one company ends up as the dominant force in the industry.

Coincidentally, a short while after I wrote the sentence about Big Data being used malevolently, I came across a company called Benevolent AI, involved in drug discovery & development. It’s either sheer coincidence, or the AI industry is already proactively setting the perception this kind of criticism.

AI – Always Infallible?

There’s also the potential for AI to get things wrong. When you consider that it learns solely from data, without the experience or the perspective of a human, then what happens when the data it’s making decisions on is inaccurate, or incomplete? For instance, facial recognition technology isn’t as effective on Black & Asian faces. Imprisoning incorrectly is an issue. Diagnosing incorrectly and prescribing medication for an ailment someone doesn’t have? Also not ideal. Now, there are failsafes we can put in place. But misinterpreted data, or conclusions drawn from incomplete data are potential pitfalls that need accounting for.

What do I need to do as a pharmacist?

Eventually AI will go mainstream and become the default in healthcare settings. As and when this happens, naturally everyone must adapt.

But until that point, my advice is proactively seek out these technologies and innovations, as soon as you can. They make your life easier, and your patients lives better.

Why would you not want that as soon as possible?

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