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Products & Services >> Best Practice Database >>Archived Research Alerts >>September 2022 Research

SEPTEMBER 2022 Research Alert

This month we added three new studies to the Best Practice Database, the research repository for Best Practices, LLC. This month's new studies explore two topical areas: developing hybrid work models that are best suited for a resilient Commercial function and building an elite Medical Excellence group. The first two studies examine the changing forms, features, conditions, and triggers for hybrid work models that are driving success within pharma sales, marketing, and other commercial functions. The third study examines how pharma and biotech companies are leveraging their Medical Excellence groups to raise efficiency and impact across their Medical organization.

The new Best Practices, LLC studies listed below under Newly Added Research explore how leading companies have made their operations more effective across these different areas.


Download: Hybrid Work Models for Commercial Biopharma Organizations: Model Types and Staffing (5733)

Best Practices, LLC undertook this research to probe and profile how different Commercial organizations are shifting and shaping staff roles, adjusting remote vs. in-person work schedules, and planning post-pandemic to develop the best hybrid work model.


Download: Hybrid Work Models for Commercial Biopharma Organizations: Delivering Value and Benefits/Barriers (5734)

This research examines the benefits and barriers to remote vs. in-person work models and lessons learned from participants. It also investigates how different Commercial organizations are using technology, shrinking or expanding facilities, and planning post-pandemic to develop the best hybrid work model.


Download: Building an Elite Medical Excellence Group: Maturity, Drivers, and Benefits (5735)

This Best Practices, LLC study identifies the drivers and benefits of Medical Excellence group creation. It also looks at the maturity and tenure of Medical Excellence groups and further provides benchmarks for proposed Medical Excellence groups.