Technology

With medical meetings and congresses going virtual in the face of COVID-19, how do pharma companies put together a strategic plan for a new format that meets goals while remaining sensitive to the broader environment?

Hunting for effective treatments, tools offer support in global fight.

Pharma companies may be in a unique position to support at-risk patients with chronic illnesses at this unusual time, particularly if they already have patient support programs in place with a patient services hub, writes Rebecca Cotton.

The need for analytics translators is not limited to data science. The adoption of all scientific or technical advances, including those in the healthcare industry, needs effective translators. So what does this mean for pharma marketing?

A centralized platform for assets supports the industry’s need for a greater volume of more diverse content, writes Callum Hawes.

Matthew Sussman explores strategies for facilitating access to the timely patient data and analysis needed for successful value-based agreements between manufacturers, payer and provider organizations in 2020 and beyond.

How exactly do pharma companies account for a gap between their hopes for a new drug and reality? Peter Harbin reports.

From lightweight ERP work, to break fix services, to infrastructure- how start-up life sciences organizations, or those new to the outsourcing model, are benefiting from the use of IT partners.

Over the coming months, HCPs and manufacturers will experiment with different approaches to e-detailing, in order to arrive at an approach that works for everyone, writes Scott Morano.

Before the COVID-19 outbreak, a number of doctors were starting to use digital and connected health but many remained hesitant. Now, this has all changed.

Steve Gens and Remco Munnik offer five best-practice tips for achieving a definitive, trusted regulatory and product information asset base capable of supporting intelligent innovation.

In safety & pharmacovigilance, the requirement to capture, sift and process real-world adverse event data is vast and growing all the time. Why then, writes John Price, is the discipline lagging in its application of smart technology?

Thriving in the new COVID-19 world requires five key ingredients, which can be leveraged with a transformative approach to digital adoption in the pharma space.

Grünenthal's Florent Edouard and Veeva's Jan van den Burg talks about how the COVID-19 pandemic is changing the way the industry reaches and engages with its customers.

Developing a digital health solution that patients and HCPs will use requires creating technology that addresses unmet needs, integrates with clinical care pathways, and has strong user safeguards, writes Matt Norton.

Strategies for those chief information officers taking the digital reins at their organizations.

Dr. Jeanne Ross of the MIT Center for Information Systems Research discusses how to lead an organization’s digital transformation for the pursuit of new revenue models.

Archaic ways of working need to make way for more agile and nimble response mechanisms enabled by a systematic enterprise-wide digital upskilling strategy, writes Anand Kiran.

Anita Moser, Michael Davis, Dharmendra Sahay outline UCB's measured approach to scaling its AI capabilities.

Exploring the challenge for pharma in adapting multichannel marketing strategies for the global stage, while trying to refine messages and communicate a brand identity to multiple local audiences.

Amid concerns over a potential 'wild west' climate for data analytics in pharma, taking a long-term, proactive, and enterprise view of your company’s data may be the best way to keep your organization and reputation safe.

How to capitalize on the rise of omnichannel engagement in pharma and pursue myriad modes of message delivery in today’s digital world.

A look at the ongoing barriers and opportunities in building connections between HCPs, patients, and pharma through social media.

The key to success in a hypercompetitive marketplace is to create targeting plans that get ahead of tomorrow’s prescriptions, write Janardhan Vellore and Daniel Wetherill.

In 2020, AI will become pervasive in enterprise applications and embedded within specific commercial workflows, writes Paul Shawah.