Lakshmi Priya Darshini Pulavarthi blends scientific expertise with data management to drive clinical trial success across oncology, hematology, and cardiovascular therapeutic areas.

Here are five questions for healthcare delivery organizations to ask when researching how to effectively archive non-clinical records as a part of their legacy data management strategy: 1.

Career in Clinical Data Management In the rapidly evolving landscape of healthcare, the role of Clinical Data Management (CDM) is gaining prominence as a crucial driver of innovation and progress ...

The current clinical trials reduce the cost and development time and failures in research, and support data-driven decision-making Clinical data management is an important phase of clinical ...

Clinical Data Management: Oncology drugs and biologics may be developed more quickly through adaptive studies, such as basket, umbrella, and platform designs. Multi-arm, cohort, and decision-tree ...

The modern clinical trial design requires real-time data modelling and simulation to provide reliable information that supports faster decision-making and reduces development time, costs, and ...

HQMF is a standard for expressing clinical quality measures. Creating tools to handle queries in clinical databases will grow in importance with Meaningful Use stages 2 and 3, the authors say.

However, by encouraging documentation of verbal queries, health information management (HIM) directors or coding supervisors will have some data with which to work, Ferron adds.

By automating the clinical data management process, Children's Wisconsin has demonstrated how EHR integration can revolutionize data capture, saving hundreds of hours and improving accuracy.