Browsing “Behavioral Health TechnologyBehavioral Health Technology | EVERSANA”

eBook – 2020 Stories That Shaped Commercialization

While many industries hit the pause button on their operations this year, the pharmaceutical industry never stopped, propelling new innovations to better serve patients, providers and stakeholders. At EVERSANA, we worked closely with manufacturers to tackle uncertain, complex market dynamics and solve pricing, access, reimbursement, adherence, and distribution challenges, and more. As we look forward […]

CBI Hub, SPP and eServices Insights: Leveraging Behavioral Health Technology

The Science of Human Resiliency — Behavioral Health Technology to Improve Patient Outcomes and Adherence Over the past several years, pharmaceutical manufacturers have been in pursuit of improving the patient experience by reducing time-to-treatment, developing a more integrated patient view and deriving insights that lead to better care. Additionally, physicians have been seeking new tools […]

Advancing Beyond the Traditional Patient Adherence Model

Showcase Featured In PharmaVOICE – October 2020 Delivering value in the era of empowered patients renders the one-size-fits all patient services program obsolete. Not every treatment journey is consistently linear within a disease state because patients take different paths to medication adherence. For example, one patient may be compliant when prompted by a smartphone notification, while […]

Advancing Beyond the Traditional Patient Adherence Model

Delivering value in the era of empowered patients renders the one-size-fit-all patient services program obsolete. Not every treatment journey is consistently linear within a disease state because patients take different paths to medication adherence. For example, one patient may be compliant when prompted by a smartphone notification while another relies on a caregiver for their […]

A Predictive Analytics and Machine Learning Approach to Improving Hub Performance and Patient Outcomes

Today we have access to more data, from more sources than we could ever dream possible. Living in a digital world, we increasingly need the ability to efficiently and effectively process this data for insights and actions in order to be competitive. The life sciences industry can leverage this data using analytic tools and machine learning to rapidly identify patient behaviors and patterns – allowing us to predict “next best actions” in our quest to improve patient outcomes.

Behavioral Health Technology