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So, what are the key pharmaceutical information technology trends underpinning these shifts? Let’s take a look.

1. AI and Machine Learning

AI’s potential for the biotech space is vast. Of particular significance is its capacity for rapid discovery; both of pathogens themselves and of their potential treatments. Using AI for discovery is significantly more time and cost effective than using human lab technicians, which are limited in terms of speed and accuracy.

A 2019 survey by Verdict AI asked pharma executives how important they felt AI and Machine Learning technologies would be in healthcare innovation. Over 70% of them answered; “very important”. Meanwhile, another report by Narrative Science saw 61% of respondents citing the need to identify things which they believe would otherwise have been missed as the key driver for investing in AI-powered innovations.

So, it’s clear that without the speed, efficiency and automation capabilities that AI offers, the pharmaceutical sector would eventually lose the race to identify and treat diseases which have proliferated in the modern world.

2. Digital Therapeutics

In a recent interview with McKinsey, Bozidar Jovicevic—head of digital therapeutics at Sanofi—defines this term as “nonpharmacological, tech-focused solutions that work as a stand-alone therapy or are combined with drugs to improve patient outcomes—and, of course, drive business impact”.

The current healthcare system is attuned to providing remedial medical care which, according to the WHO, delivers 20% of the population’s health outcomes. But behavioral change—that is, the avoidance of administering medicines altogether—accounts for up to 30%.

In targeting behavior, around USD $3.4 trillion could be spared each year from the treatment of chronic diseases. This behavioral approach includes wearables that monitor activity and sleep levels, complementary digital therapies such as apps which focus on reducing stress and anxiety, and remote disease management/patient monitoring.

But, if we’re taking drugs out of the equation—or at least minimizing them—where does that leave Big Pharma? Well, industry innovators are considering partnership models whereby pharmaceutical companies, which already have a massive reach, team up with agile tech startups to deliver a comprehensive healthcare service that looks at prevention, rather than just cure.

It’s predicted that, before too long, we’ll see medical professionals prescribing digital therapeutics, either as a standalone therapy or in combination with traditional pharmaceutical medicines.

3. Personalizing Treatments with Advanced Analytics

Consumers across all settings are now used to receiving services that are tailored specifically to their needs, and this notion will revolutionize how medical care is delivered in the future.

This isn’t a new concept in biopharma but, because of the sensitivity of patient data and the necessary red tape governing its use, it’s one that hasn’t yet been realized by medical institutions. What this has meant for pharmaceutical firms is massive investments in drugs which may not make it through trials—without a clear view of who the ideal patient is if they do make it to market. This, ultimately, results in cost-inefficient and health-detrimental outcomes.

Advanced analytics and Natural Language Processing (NLP) could help the healthcare industry make sense of the masses of messy patient data that currently exists in medical databases; spotting patterns to work out how different segments of the population respond to different therapies. This data-driven approach would enable the healthcare sector to do away with the one-size-fits-all model for treating chronic disease and target effective pharmaceuticals at the most appropriate patients, for significantly better health and business outcomes.


This past year, it’s become more apparent than ever that the landscape of human health can and will change rapidly, necessitating an agile response from those delivering our care. The previous rigid, often bureaucratic, model isn’t innovative enough to maintain the current healthcare standard, let alone improve it.

A more progressive approach is needed and innovative pharmaceutical information technology can help deliver this. The challenge, then, is how to protect patient data from ‘bad actors’, while making more of it available to those who would use it for the greater good.