Healthcare AI Purchasing Survey

This survey is sponsored by Volpara Health, a wholly owned subsidiary of Lunit Inc. Volpara Health offers clinically validated, AI-powered software for personalized screening and early detection of breast cancer.

Volpara Health will make a donation to Donors Choose for each valid response from readers from health systems and imaging centers. HIStalk will match their donation using funds provided by my Anonymous Vendor Executive. All funds will support the needs of classroom teachers.

What is your primary job title or role within your organization? *

CEO / president
CIO / CTO
Clinical director
Radiologist
IT manager / analyst
Other:

What type of organization do you represent? *

Hospital / health system
Imaging center
Physician group / practice
Academic / research institution
Healthcare technology vendor / developer
Other:

Are you currently considering the implementation or expansion of AI in your organization?

Yes
No

What types of AI applications are of most interest to your organization?

Diagnostic support (detection, diagnosis)
Predictive analytics (risk assessment)
Operational support (workflow optimization)
Patient engagement (chatbots, reminders)
Other:

What clinical department is using or investing in an AI solution? Check all that apply.

Emergency department
Urgent care
PCP office
Orthopedics
Radiology
Other:

Does your facility use AI in your mammography service line?

Yes
No

How do you expect your organization will buy imaging AI?

Directly from an AI vendor such as Lunit, Qure.ai, or Transpara and connect it into your current system
Buy it as part of your hardware system (e.g., Fuji, GE)
Buy it as part of your PACS (e.g., Sectra, Agfa)
Through an AI marketplace such as Blackford or AIDoc

Does your organization have an AI committee leading purchasing decisions?

Yes
No

Who participates in the decision-making process for AI purchases at your organization? Select all that apply.

C-suite
AI committee
Physicians
IT
Other:

What is most important for you when using imaging AI?

Trustworthiness of the model (clinical research)
Training and support
Ease of use
Integration into existing workflows
Other:

What is your biggest challenge in adopting AI solutions in your organization?

Lack of clear ROI
Concerns about data security/privacy
Resistance from clinicians or staff
Technical limitations or infrastructure issues
Other:

How long does your organization typically take to evaluate and approve AI solutions?

Less than six months
Six to 12 months
More than a year

What specific features or capabilities you would like to see in future AI solutions?

Enter any additional information or your contact details if you would like someone from Volpara Health to get in touch.