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Insights and Perspective from Within3

Explore a cross-section of up-to-date content on the trends shaping the future of healthcare and life sciences.

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life science content engagement

Within3 in MeetingsNet

Our partnership extends engagement capabilities for pharma teams, supporting complex decision-making.
within3 and array partnership

Within3 and Array announce partnership to set new standards in life science stakeholder engagement

The new alliance aims to revolutionize pharma engagement with unprecedented insights.
value of patient insights

Within3’s Jason Smith in Journal of mHealth

Patient insights are valuable and should be prioritized as a critical piece of any insight-gathering strategy.
Q&A with CEO Lance Hill

CEO Lance Hill in PM360

Who’s the boss? According to our own boss, CEO Lance Hill: customers, investors, and employees all have critical roles.
tech talent for healthcare

Within3 CTO Jason Smith in Healthcare IT Today

Healthcare technology companies are focusing on how to attract and retain tech talent.
tech for pharma oncology

Within3 in HIT Consultant

CEO Lance Hill discusses how technology can help pharma companies navigate oncology market challenges.
medical affairs data management

Within3 in PM360

The pitfalls of medical affairs data management and what the future might hold for teams that can adapt.
orphan drug challenges

Within3 in MedCity News

Advanced technology can help the pharmaceutical industry work through the inherent challenges of orphan drug development.
AI in pharma news

Within3 in industry tech news

Innovative applications for AI are making news in the pharma industry. Here’s an update on the latest.
insights innovation for medical affairs

CEO Lance Hill in Gold Magazine

Medical affairs organizations are seeking effective applications for advanced technologies.
august 2023 product updates

Within3 announces significant updates that eliminate up to 90% of analysis & reporting time

New AI-driven Moderator Assistant changes how pharmaceutical companies approach insight gathering, engagement, and critical decision-making processes.
data quality in life science

Within3 in InsideBigData: AI needs quality data to succeed

How data quality can impact life science AI adoption.

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