Table 3 Facilitators for CPath use in clinical practice mentioned in ≥2 interviews (n = 72).

From: Pathologists’ first opinions on barriers and facilitators of computational pathology adoption in oncological pathology: an international study

Innovation factors

No of interviews (n = 16)

Individual health professional factors

No of interviews (n = 16)

Professional interactions

No of interviews (n = 16)

Accessibility intervention

Agreement with recommendation

Communication & influence

Availability of stand-alone CPath

2

Positive attitude

14

• Encouragement by clinicians

7

• Availability open source CPath applications

3

• Outcome control of CPath remains necessary

6

• Encouragement by pathologist colleagues

2

Compatibility

Awareness and familiarity

Team processes

• (Easy) integration of CPath in IT structures

6

• CPath use in clinical practice

2

• Align CPath use with clinicians

2

• CPath analysis on background

4

• Involved in CPath development

6

• Clinicians trust pathologists in use/ not use CPath

4

• CPath being able to sort cases on urgency within workflow

3

• Gaining basic understanding of CPath

3

• Including use of CPath in pathology reporting

10

• First tissue analysis by CPath, next pathologist (supportive application)

9

• Having basic understanding of CPath

11

  

• First tissue analysis by pathologist, next CPath

• (leading application)

9

• Gaining trust in CPath step by step

8

  

Feasibility

Intention and motivation

  

• Usefulness depends on speed and user-friendliness CPath

4

• Having appointments with suppliers CPath

2

  

• Leading role “standard” work

6

• Intention to use CPath for several applicationsb

11

  

• Complex diagnostics

2

• CPath use in near future

4

  

Quality of evidence

Skills needed to adhere

  

• Including clinical outcomes in CPath development

2

• Data integration task when CPath is used

7

  

• Variety of data needed in CPath development

2

    

• Validation of CPath

9

    

• Proven reliability CPath

7

    

• Specific validation with clinical outcomes

10

    

• Validation non-inferiority studies

3

    

• Validation per laboratory

6

    

• Prospective validation studies needed

5

    

• Retrospective validation studies sufficient

4

    

• Studies on time savings

2

    

Source of the recommendation

    

• Reliable supplier CPath, including data usage

5

    

• Validation by supplier

4

    

• Ongoing development CPath by supplier

2

    

• No preferences supplier

4

    

Strength of the recommendation

    

• Advantage of time-savings

12

    

• Decreasing repetitive tasks

4

    

• Improving workflow efficiency

5

    

• Improving diagnosis quality/accuracy

9

    

• Better definition of currently known prognostic factors

5

    

• Improving standardized diagnostic outcome CPath

10

    

• Improving detection due to narrowing analysis area

5

    

• Lowering workload

2

    

• More comprehensive CPath

2

    

• Finding new prognostic factors

7

    

• Improving treatment choices for patients

2

    

Incentives and resources

No of interviews (n = 16)

Capacity for organizational change

No of interviews (n = 16)

Social, political and legal factors

No of interviews (n = 16)

Availability of necessary resources

Mandate, authority, accountability

Legislation

• Availability of digital workflow

2

• Updating CPath centrally

2

• FDAc approved CPath

2

• One supplier for entire digital workflow including CPath

2

• Central implementation pathology association

7

• Global regulation CPath clinical use

2

• Available CPath applications

3

  

• Autonomous decision pathologist CPath use because accountability

6

Continuing education system

Monitoring and feedback

  

• CPath in pathology resident education

13

• Providing feedback to supplier of CPath

2

  

• More explainable pathology due to CPath

2

• Central monitoring system

3

  

• Learning pathology analysis before CPath use in resident education

4

• Prospective monitoring CPath clinical use

9

  

• Anticipating in labor market because of use of CPath

3

    

• CPath as part of continuing pathology education

2

    

Information system

Regulations, rules, policies

  

• Automatic fill-in SSRa

5

• Policy of pathology association regarding CPath use

3

  

• Connecting CPath with other information systems

4

    

• Enable to assign CPath to case manually

2

    

Quality assurance and patient safety systems

    

• Upfront quality assurance

10

    
  1. aStandardized structured reporting.
  2. bApplications for lymph node screening, Gleason grading, and quantifying tasks (mitosis or Ki67 counting).
  3. cU.S. Food and Drug Administration.