The healthcare industry is one of the business niches where the adoption of cutting-edge technology is both vital and gradual. Introduction of the latest tech advancements to well-established business practices is beneficial and can significantly improve the quality of care. Yet the price of the slightest mistake is so high that many market players are extremely cautious about trusting technology that is not extremely common and has proven to be completely safe. That is why when it comes to such revolutionary inventions as Artificial Intelligence, healthcare businesses take their time investigating the topic but tend not to integrate the technology into the existing software right away.
Being one of the most typical types of healthcare software, pharmacy app development is no exception in this regard. AI/ML-powered software can be extremely beneficial for pharmaceutical businesses of all sizes, but many entrepreneurs either do not know about the possible advantages innovations may bring or have no idea how to integrate new functionality into an existing solution. In this editorial, we will cover the most prominent opportunities and the most common challenges one may face during the AI/ML integration into a pharmacy app.
Related: How to Increase Your Performance Using AI Tools
Let’s talk about gains
It makes sense to start by listing the benefits of AI/ML integration so that anyone can decide whether or not such an investment is actually worth the time, money, and effort the business owner will have to spend on it.
Win the battle for the customer
According to a report by Grand View Research, healthcare is one of the top-3 industries with the biggest AI end-use share. But it isn’t in the lead because the Media and Advertising sector is actually the business niche that has adopted AI/ML technology the fastest and now accounts for about ⅕ of the global AI market share.
Such a breakthrough is easy to explain. AI is widely used for marketing purposes by Media and Advertising companies, and that is something pharma business owners can try for themselves. Artificial Intelligence can be integrated into almost any type of pharmaceutical app and improve user engagement levels, enhance user journey, and lead the customer to a desired action.
One of the classic examples of AI-powered software that can be integrated into a pharma app and advance the user experience is a virtual assistant. Depending on the application type, this kind of digital helper can simplify the choice of medicine, analyze the symptoms and define possible reasons those may be caused by, guide the user through the buying journey, build the best routes to the nearest brick-and-mortar pharmacy based on the customer’s location, and more.
The use of an AI-based virtual assistant 100% depends on the entrepreneur’s vision and business goals. But in the end, it provides the business with nearly endless opportunities for service quality improvement. And that is exactly what helps brands forge strong customer relations and attract a larger audience.
Assess and predict to eliminate fraud
One of the greatest advantages of AI/ML-powered software is its ability to process large amounts of diverse data, analyze it, and come up with valuable forecasts and assessments. So no wonder that in healthcare and pharma AI/ML solutions are often incorporated into existing systems to detect fraudulent behavior and prevent it.
By operating shared data, such software determines specific patterns that either lead to fraud or are dangerous/suspicious and require attention. Consequently, the business owner acquires additional control over the processes and the behavior of staff members and customers. As a result, the number of fraud attempts both from pharmacists and patients, may decrease significantly.
More effective delivery and management
The pharma supply chain is known for its complexity and interconnectedness of processes where even the slightest delay, inaccuracy, or ambiguity can lead to extreme financial losses. These days AI/ML software incorporation is one of the sure-fire ways to prevent worst-case scenarios and boost operational efficiency all throughout.
For example, when it comes to delivery, AI can handle a multitude of tasks like route optimization, precise ETA calculation, and even driverless delivery. And in terms of warehouse management, AI-based solutions demonstrate their full potential combined with IoT systems. Highly sensitive sensors allow the business owner to never lose track of any single item as it moves throughout the warehouse.
On top of that, AI/ML algorithms help to eliminate the errors caused by the human factor almost completely, so both inventory management and delivery will become easier and more efficient.
Make better decisions
Oftentimes entrepreneurs tend to underestimate the power of data they obtain from users on a regular basis, and pharma business owners are no exception. Health data, relevant contact info, spending habits, services the customer is interested in… All of this is available to pharmaceutical business representatives. However, the real question here is, what do you do with that information? How do you use it to your advantage? And that’s when AI/ML comes into play! AI algorithms will help you improve the quality of your decisions by backing them up with valuable insights based on the information you have. Ergo, you will get a powerful digital tool that will reinforce long-term planning, increase flexibility, and boost the profitability of your business in the long run.
What about the risks?
It wouldn’t be fair to examine the topic of AI/ML in the pharmaceutical business and completely leave out the possible complications that come with state-of-the-art technology integration. That is why below you will find the information about the most frequent challenges decision-makers might face if they opt for AI/ML-powered pharma software development.
Lack of understanding
It’s not enough for an entrepreneur to know about the benefits of AI/ML in healthcare and pharma. It is absolutely vital to understand or at least have a vision of what cutting-edge technology can do for your business specifically. In other words, a business person should understand which drawbacks in the existing workflow they want to eliminate by means of AI/ML, which issues they want to resolve or which ideas they intend to bring to life.
Innovation for the sake of innovation will never bring significant results, on the contrary, it will cause problems with the budget, lower the efficiency of business processes, and even destroy a streamlined workflow.
Poor execution
While Artificial Intelligence and Machine Learning have been on everybody’s lips for a while now, the selection of IT services providers who have extensive experience with this kind of technology is not that impressive. In fact, a survey by Cloud Tweaks shows, finding people who have the right skills is still one of the biggest challenges when it comes to AI/ML solutions development and integration. And this is where a decision-maker has to be very careful because even an unlimited budget doesn’t guarantee perfect tech execution of the project if the chosen team simply isn’t proficient enough.
Unwillingness to wait and invest money in a solution
AI/ML-based solutions aren’t exactly cheap or fast to develop, especially if we’re talking about custom software that is created from scratch. There’s always a temptation to take a shortcut and opt for something off-the-shelf or hire a team that promises to deliver an AI-based system within a couple of weeks. However, such decisions are almost never the right choice. Be prepared to face reality. AI/ML development takes time. It takes months and even years if we’re talking about complex enterprise-level software. And the amount of money a business owner should be ready to spend will also be significant.
Final words
AI/ML integration gradually changes the way we perceive the pharmaceutical business. It makes it more efficient, profitable, and less dependent on the human factor. And while many market players are still hesitant about whether or not they should opt for AI/ML in their business practices, the most forward-thinking decision-makers have already placed their bets on innovative technologies and won. So there’s absolutely no reason for you not to be one of them!
