Lidia Betcheva

ORCID: 0000-0001-8165-5639
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About
Contact & Profiles
Research Areas
  • Pharmaceutical Economics and Policy
  • Health Systems, Economic Evaluations, Quality of Life
  • COVID-19 epidemiological studies
  • demographic modeling and climate adaptation
  • Quality and Safety in Healthcare
  • Supply Chain and Inventory Management
  • Biotechnology and Related Fields
  • Climate Change and Health Impacts
  • Health disparities and outcomes
  • Supply Chain Resilience and Risk Management
  • Innovation and Knowledge Management
  • Health Policy Implementation Science
  • Ethics in Clinical Research

University of Cambridge
2020-2024

Cambridge School
2020-2022

Problem definition: The lessons learned over decades of supply chain management provide an opportunity for stakeholders in complex systems, such as healthcare, to understand, evaluate, and improve their complicated often inefficient ecosystems. Academic/practical relevance: complexity managing healthcare chains offers opportunities important impactful research avenues key areas coordination integration (e.g., new care models), mass customization the rise precision medicine), incentives...

10.1287/msom.2020.0920 article EN Manufacturing & Service Operations Management 2020-10-30

Recently, there has been a growing interest in understanding how decentralized clinical trial (DCT) solutions can mitigate existing challenges development, particularly participant burden and access, the collection, management, quality of data. This paper examines DCT deployments, emphasizing they are integrated may impact oversight, execution. We propose conceptual framework that employs systems thinking to evaluate on key stakeholders through reiterative assessment pain points. conclude...

10.1007/s43441-023-00540-2 article EN cc-by Therapeutic Innovation & Regulatory Science 2023-06-30

A team of researchers worked with public health officials and clinical decision makers to create real-time models help predict COVID-19 cases hospital bed needs in the East England. These used up-to-date data allowed explore different scenarios make informed plans. The have also been applied other countries can be a valuable tool future epidemics.

10.1287/inte.2023.0009 article EN INFORMS Journal on Applied Analytics 2024-04-15

Problem definition: This paper describes the real-time participatory modeling work that our team of academics, public health officials, and clinical decision makers has been undertaking to support regional efforts tackle COVID-19 in East England (EoE). Methodology: Since March 2020, we have studying research questions allowed us address pandemic's rapidly evolving current near-future epidemiological state, as well short-term (a few weeks) medium-term (several months) bed capacity demand....

10.2139/ssrn.3695258 article EN SSRN Electronic Journal 2020-01-01

Pharmaceutical (pharma) companies face substantial financial consequences from clinical trial overruns. In order to conduct development in a more cost- and time-efficient manner, they have largely outsourced contract research organizations (CROs). To offer an analytical perspective on how pharma managers’ choice of outsourcing relationship type can affect timelines, we investigate strategic partnerships transactional arrangements. Strategic are characterized by company’s commitment future...

10.2139/ssrn.4095877 article EN SSRN Electronic Journal 2022-01-01
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