In a recent Clarivate blog, the company highlights how machine curation — the use of AI and automated analytics to sift through vast healthcare data — is being used to deepen our understanding of essential tremor (ET). Unlike traditional methods that rely heavily on manual review, machine curation enables the effective aggregation of data from real-world sources like administrative claims, clinical records, and other large-scale datasets. This approach promises to shed light on ET’s prevalence, trends, and treatment gaps in ways that were previously difficult or resource-intensive to capture.
One of the key advantages Clarivate points out is that machine-driven analysis can identify epidemiological patterns more granularly than ever before. By using algorithms to extract meaningful signals from unstructured and structured health data, researchers can map the incidence and progression of essential tremor across different populations. This not only allows for real-time monitoring of disease trends, but also for the discovery of demographic sub-groups and comorbidities that might otherwise go unnoticed.
Moreover, this approach is helping uncover treatment dynamics in real-world settings. Through claims data and medical records, machine curation can track what kinds of therapies people with ET are actually using — whether they are first-line drugs like propranolol and primidone, or more advanced interventions — and how long patients stay on them. Such insights are crucial to understanding both the effectiveness and the unmet needs in ET care, by highlighting where treatment is under-used or where switching happens frequently.
Finally, Clarivate argues that machine curation can inform better clinical decision-making and research priorities. With data-driven intelligence, stakeholders — from clinicians to pharmaceutical companies — can more clearly see where the biggest gaps lie in diagnosis, treatment access, and disease awareness. Over time, this could help shape more targeted interventions, guide trial design, and ultimately lead to better outcomes for people living with essential tremor.
