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Can I read MSR67 Automation of Abstract Screening: A Case Study of Multiple Systematic Literature Reviews on EtoBox?
MSR67 Automation of Abstract Screening: A Case Study of Multiple Systematic Literature Reviews by A Cichewicz; A Kadambi; L Lavoie; L Mittal; V Pierre; R Raorane is a Economics, Econometrics and Finance article available to read on EtoBox.
What is MSR67 Automation of Abstract Screening: A Case Study of Multiple Systematic Literature Reviews about?
Objectives: Even though we live in the digital era and digitalization has a huge impact on our lives and businesses already, digital initiatives are still fragmented and scattered in the healthcare sector. The aim of this study is to present some of the practices that represent pharma's biggest barriers to improving its digital performance. Methods: A literature search in the PubMed and Cochrane databases undertaken in May 2022 resulted in the identification of relevant publications. The findings on the pharma's biggest barriers to improving its digital performance are included in the subsequent analysis. Results: The main internal barriers were identified as: pharma companies do not pay enough attention to the customer decision journeys; pharma companies align on their strategy first and treat digital engagement as an aspect of execution, rather than as a central consideration in strategic planning; some operational gaps such as lack of digital roles and lack of tracking the digital budget. External barriers include the current healthcare regulatory structure, current reimbursement methodology, and fragmented sources of consumer data Conclusions: Building on automation, digital te
Who reads MSR67 Automation of Abstract Screening: A Case Study of Multiple Systematic Literature Reviews?
It is typically read by researchers, students, and practitioners in Economics, Econometrics and Finance.
- Author
- A Cichewicz; A Kadambi; L Lavoie; L Mittal; V Pierre; R Raorane
- Publisher
- Elsevier BV
- Published
- 2022
- Language
- EN
- Field
- Economics, Econometrics and Finance (Social Sciences)