Advancing the development of real-world data for healthcare research in China: challenges and opportunities
Various real-world data (RWD) sources have emerged in China with the intention of generating real-world evidence (RWE) that can be used in clinical and regulatory decision-making. Despite these efforts, significant barriers remain that hinder high-quality healthcare research. A workshop with 30 repr...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2022-07-01
|
| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/12/7/e063139.full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832575970985377792 |
|---|---|
| author | Jun Zhang Eric Wu Jia Zhong Honghao Fang Larry Liu Jipan Xie |
| author_facet | Jun Zhang Eric Wu Jia Zhong Honghao Fang Larry Liu Jipan Xie |
| author_sort | Jun Zhang |
| collection | DOAJ |
| description | Various real-world data (RWD) sources have emerged in China with the intention of generating real-world evidence (RWE) that can be used in clinical and regulatory decision-making. Despite these efforts, significant barriers remain that hinder high-quality healthcare research. A workshop with 30 representatives from healthcare research agencies, technology companies focused on healthcare big data and pharmaceutical companies was held in December 2020 to identify strategies to overcome the barriers associated with the usability and quality of RWD in China. Across all sectors, examples of barriers identified included inconsistencies in terminology and non-standardised coding practices; the absence of longitudinal data; the absence of transparent data processing and validation practices; and the inability to access and share RWD. While cutting-edge technological innovations and data solutions provided powerful tools, the development of collaborative and synergistic research networks across multiple stakeholders is key to generate accessible, high-quality RWD in China. RWD has the potential to provide clinical, regulatory and reimbursement decision-makers with critical insights that can improve healthcare delivery in China. However, barriers to its access, collection and use must be addressed to generate RWE to guide healthcare stakeholders. |
| format | Article |
| id | doaj-art-e129b319811b42f9962231f577794d2a |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2022-07-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-e129b319811b42f9962231f577794d2a2025-01-31T16:00:11ZengBMJ Publishing GroupBMJ Open2044-60552022-07-0112710.1136/bmjopen-2022-063139Advancing the development of real-world data for healthcare research in China: challenges and opportunitiesJun Zhang0Eric Wu1Jia Zhong2Honghao Fang3Larry Liu4Jipan Xie5Department of Anesthesiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, ChinaAnalysis Group, Inc, Boston, Massachusetts, USAAnalysis Group, Inc, Beijing, ChinaAnalysis Group, Inc, Beijing, ChinaMerck & Co Inc, Rahway, New Jersey, USAAnalysis Group, Inc, Los Angeles, California, USAVarious real-world data (RWD) sources have emerged in China with the intention of generating real-world evidence (RWE) that can be used in clinical and regulatory decision-making. Despite these efforts, significant barriers remain that hinder high-quality healthcare research. A workshop with 30 representatives from healthcare research agencies, technology companies focused on healthcare big data and pharmaceutical companies was held in December 2020 to identify strategies to overcome the barriers associated with the usability and quality of RWD in China. Across all sectors, examples of barriers identified included inconsistencies in terminology and non-standardised coding practices; the absence of longitudinal data; the absence of transparent data processing and validation practices; and the inability to access and share RWD. While cutting-edge technological innovations and data solutions provided powerful tools, the development of collaborative and synergistic research networks across multiple stakeholders is key to generate accessible, high-quality RWD in China. RWD has the potential to provide clinical, regulatory and reimbursement decision-makers with critical insights that can improve healthcare delivery in China. However, barriers to its access, collection and use must be addressed to generate RWE to guide healthcare stakeholders.https://bmjopen.bmj.com/content/12/7/e063139.full |
| spellingShingle | Jun Zhang Eric Wu Jia Zhong Honghao Fang Larry Liu Jipan Xie Advancing the development of real-world data for healthcare research in China: challenges and opportunities BMJ Open |
| title | Advancing the development of real-world data for healthcare research in China: challenges and opportunities |
| title_full | Advancing the development of real-world data for healthcare research in China: challenges and opportunities |
| title_fullStr | Advancing the development of real-world data for healthcare research in China: challenges and opportunities |
| title_full_unstemmed | Advancing the development of real-world data for healthcare research in China: challenges and opportunities |
| title_short | Advancing the development of real-world data for healthcare research in China: challenges and opportunities |
| title_sort | advancing the development of real world data for healthcare research in china challenges and opportunities |
| url | https://bmjopen.bmj.com/content/12/7/e063139.full |
| work_keys_str_mv | AT junzhang advancingthedevelopmentofrealworlddataforhealthcareresearchinchinachallengesandopportunities AT ericwu advancingthedevelopmentofrealworlddataforhealthcareresearchinchinachallengesandopportunities AT jiazhong advancingthedevelopmentofrealworlddataforhealthcareresearchinchinachallengesandopportunities AT honghaofang advancingthedevelopmentofrealworlddataforhealthcareresearchinchinachallengesandopportunities AT larryliu advancingthedevelopmentofrealworlddataforhealthcareresearchinchinachallengesandopportunities AT jipanxie advancingthedevelopmentofrealworlddataforhealthcareresearchinchinachallengesandopportunities |