Large Simple Trials and Knowledge Generation in a Learning Health System Workshop Summary (2013) / Chapter Skim
Currently Skimming:
7 Research Partner Perspectives
7 Research Partner Perspectives
Pages 49-54
The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.
From page 49... ...
• Sharing of trial results and reconnection with trial participants show respect for participants and acknowledge their efforts, creating satisfied customers who will describe the opportunity to participate in research to others. Go • The current context of health care delivery, which is increas ingly efficient and has higher throughput, creates both chal lenges and opportunities for large simple trials (LSTs)
|
From page 50... ...
Alan S Go, chief of cardiovascular and metabolic conditions, Kaiser Permanente Division of Research, and Northern California regional medical director for clinical trials at The Permanente Medical Group, offered the perspectives of both health care professionals and the health care delivery system.
|
From page 51... ...
Second, health systems have many efforts vying for the use of their EHR systems, making expansion of their use for clinical trials very challenging. Third, achievement of the kind of standardized data collection suitable for clinical trials poses work flow issues and requires buy-in from health care providers.
|
From page 52... ...
Go reflected on important ways forward, including the suggestion that research sponsors get early systematic input from health systems about the questions of most import to them rather than relying solely on areas of interest to researchers. He noted that incentives to clinicians and health care systems are needed to ensure participation and that health care systems should be challenged to think about forming LST consortia at regional or national levels.
|
From page 53... ...
They not only provide a good infrastructure for collecting and analyzing data but also provide a potentially effective dissemination mechanism to rapidly incorporate learning into clinical practice guidelines and build best practices into clinical decision support systems.
|
Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.