Table 2.
Technological capabilities within hospitals.
Agreed list of capabilities | “Strongly agreed” and “agreed”a (%) | Number of experts who agreed (n=31) | Median | IQRb |
1. Closed-loop electronic medicines management and optimization (electronic prescribing with technology-assisted identification of both patient and medication, eg, bar codes or RFIDc tags) | 90 | 28 | 1 | 1-2 |
2. Effective mechanisms to collect and record complete, accurate and high-quality patient/clinical data | 87 | 27 | 2 | 1-2 |
3. Structured data (records, assessments, and plans) captured digitally at the point of care | 87 | 27 | 1 | 1-2 |
4. Orders (eg, lab tests) are ordered, and results reported in a coded form (ie, using standard compendiums and international vocabulary standards, including dm+dd, and acknowledged electronically in the system | 84 | 26 | 1 | 1-2 |
5. Effective mechanisms to review and improve the quality of patient/clinical data | 84 | 26 | 2 | 1-2 |
6. Flexible digital systems guiding clinicians along evidence-based, person-specific, clinical pathways | 81 | 25 | 2 | 1-2 |
7. Unstructured data (eg, notes, free text) captured at the point of care when appropriate | 81 | 25 | 2 | 1-2 |
8. Person reading/acting on the results acknowledges this electronically in the system | 81 | 25 | 1 | 1-2 |
9. Cybersecurity strategy and continuity processes in place and implemented effectively | 81 | 25 | 1 | 1-2 |
10. A single list of all medication for one patient is availablee | 81 | 25 | 1 | 1-2 |
11. Management intelligence through digital health data | 81 | 25 | 1.5 | 1-2 |
12. Reducing the need for duplicate entry of patient data to near-zeroe | 81 | 25 | 2 | 1-2 |
13. Third-party tools can be added through Application Programming Interfacese | 81 | 25 | 2 | 1-2 |
14. Advanced clinical decision support (eg, integrated with lab data, diagnosis codes) with alerts that are both sensitive and specific and therefore less likely to result in alert fatigue | 77 | 24 | 2 | 1-2 |
15. Use of machine learning and automation when appropriate (eg, analysis of radiology images)e | 77 | 24 | 2 | 1-2 |
16. Clinical intelligence through digital health data | 77 | 24 | 1 | 1-2 |
17. The ability to monitor outcome data for modifying clinical pathways based on digital tools and services | 77 | 24 | 2 | 1-2 |
18. Open Application Programming Interfaces allowing different software components to interact | 74 | 23 | 1 | 1-3 |
19. Supporting end-to-end redesign and improvement of clinical pathways based on digital tools and services | 74 | 23 | 2 | 1-3 |
20. Advanced analytics capability to support the move from reactive to proactive/predictive models of care | 74 | 23 | 2 | 1-3 |
aExperts scored each capability using a scale ranging from “1” (strongly agree) to “9” (strongly disagree).
bIQR: Interquartile range.
cRFID: Radio Frequency Identification.
ddm+d: Dictionary of Medicines and Devices.
eNew capabilities suggested by experts in Round 1 of the eDelphi.