Choosing a Valuable AI Collaboration Partner
1. Verify collaborator credibility through scientific validation
Teams need to have a proven history of driving innovative scientific research within the fields of healthcare and AI. Ensure that your collaboration partner is backed by a team of reputable scientists that are at the forefront of innovative research. Ask for a list of publications and conferences attended by your potential AI development team to understand the expertise and knowledge base of the team.
2. Evaluate collaborative development method
Companies that claim to be driving innovation through collaboration need to have a proven method for collaboration that has resulted in the creation of excellent partnerships. Read available white papers examining collaborative development frameworks and carefully interview potential collaboration partners to uncover how the team will work with you to meet your needs and patient care priorities throughout the development cycle. The team you choose to partner with needs to be trustworthy and compatible with your team in order to deliver valuable results.
3. Identify experience with gaining regulatory clearances
Regulatory clearances, including US Food and Drug Administration (FDA) regulatory clearance and CE marking, are mandatory for bringing medical devices to clinical use. Verify that the company you are partnering with has experience navigating the regulatory approval process to bring medical devices to market, either through regulatory approvals or pending statuses.
4. Examine company investment size
In a new market place that is driven by emerging start-up AI development companies, having a clear understanding of the investments backing the company will give your team insight into the potential longevity of the partnership. Look into who backs the company, the investment size and the size of the company that has pledged an investment to see if your collaboration partner will be able to stick around to bring value to your organization.
Combining the expertise of AI developers with the subject matter expertise of healthcare clinicians can drive the future of innovation—but only if both teams have a clear understanding of the end goal. Investing in custom AI development services can bring valuable benefits to healthcare that transform patient care, reduce costs and ease the radiologist’s workflow through meaningful collaboration.