Connected health leverages IoT, wearables, telemedicine, and real-time data to improve patient care, reduce costs, boost engagement, and enhance healthcare delivery.
Long gone are the days when incentive plans stayed the same over multiple quarters. In today’s ever-changing sales environment, incentive compensation (IC) leaders must account for volatility, uncertainty, complexity and ambiguity (VUCA) in business plans.
In the competitive medical device market, connected devices are transforming how Medtech companies achieve lasting value. As seen in the coronary stent market, sales leadership can shift quickly, but connected technologies enable sustainable differentiation through powerful network effects.
Innovative healthcare technologies are transforming patient care, efficiency, and medical processes, simplifying tasks for doctors, patients, and staff.
Pharma marketing teams must understand the importance of customer-centricity by exploring why it matters, its practical implications, and the value it delivers.
Human-centered AI is transforming clinical trial design by combining smart technology with a human touch. From smarter site selection to improved patient enrollment, AI is driving more efficient, inclusive, and successful trials.
Clinical trials are evolving through digital transformation. With AI and expert life sciences consulting, clinical development is being reimagined for the modern age.
As organizations are focusing on improving clinical trials, they are faced with several challenges. By creating a unified approach that utilizes data-driven methods and technology, they can create unified clinical trials that offer sustained growth and productivity.
Market access has many components, such as regulatory approval, reimbursement strategy, health technology assessment, and stakeholder engagement. They increase the chances of a successful drug or treatment launch.
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Automation Consulting is a professional service that helps businesses analyze, design, and implement automation solutions to improve efficiency, reduce costs, and minimize manual work.
The global AutoML market is set to grow from USD 5.17B in 2026 to USD 66.4B by 2035, expanding at a CAGR of 32.8%, driven by enterprise AI adoption.
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