Table 4.
Factors influencing adoption of intelligent health services by healthcare providers according to TOE framework and results of experts’ pre-tests.
Dimensions | Factors | Coding |
---|---|---|
Technological | High risk of data leakage | T1 |
System service complexity | T2 | |
AI infrastructure synergy | T3 | |
Skeptical of AI processing capabilities | T4 | |
Lack of awareness of value and benefits of AI healthcare technology | T5 | |
Medically derived risks | T6 | |
Lack of ability to read structured medical data | T7 | |
Organizational | Lack of management leadership support | O1 |
Hospital size | O2 | |
Financial costs | O3 | |
Lack of excellent supplier support | O4 | |
Inability to share information | O5 | |
Lack of complex talent | O6 | |
Environmental | Government policies | E1 |
Competitive pressures | E2 | |
Geographical restrictions | E3 | |
Unclear ownership of hospitals | E4 | |
Lack of patient trust | E5 | |
Difficult to meet complex needs of elderly patients | E6 | |
Lack of excellent partnerships | E7 |