Foy suggests that instead of viewing automation as a one-size-fits-all solution, it should be seen as one part of a larger process. He emphasizes the importance of combining automation technology with the right people, processes, and software to maximize efficiencies while ensuring data integrity. He also provides a list of considerations for healthcare leaders looking to improve their data curation processes, including the usability of software, data analytics capabilities, the expertise of staff, and data security.
Key takeaways:
- Automation and AI technologies have the potential to revolutionize the healthcare industry, particularly in the area of clinical data curation, which could benefit from automation due to the scattered and unstructured nature of clinical data.
- Despite the potential benefits, automation is not a catch-all solution for clinical data curation due to the complexities of clinical terminology and the high data accuracy thresholds required, which AI cannot yet achieve on its own.
- Instead of treating automation as a one-size-fits-all solution, it should be combined with the right people, processes and software to maximize efficiencies while ensuring data integrity.
- As hospitals and health systems look to improve their data curation processes, they should consider factors such as the user-friendliness and speed of capture and workflow software, the flexibility of submission software, the configurability of data analytics capabilities, the expertise of the people overseeing data curation, and the processes for validating data accuracy and curation accuracy.