Table 3.
Main group | Subgroups (applications) | First round of Delphi | Second round of Delphi | Final acceptance or rejection | |
---|---|---|---|---|---|
Mean± standard deviation (SD) | Accepted / review | Mean± standard deviation (SD) | |||
Diagnosis | Diagnosis through signs and symptoms | 4.37 ±0.76 | √ | √ | |
Helping diagnose infections and damaged lung tissue through computerized tomography scan | 4.58±0.83 | √ | √ | ||
Diagnosing patients' fever by smart devices or wearables4.11±0.87 | √ | √ | |||
Diagnosis by designing a social networking robot (like telegram robots) for initial screening | 3.26±0.93 | * | 3.16±1.38 | × | |
Helping diagnose and monitor patients through communication-oriented spatial decision support system (SDSS) for: the target group is mostly communication-oriented CDSS, internal teams of physicians and nurses, and other treatment staff. Examples of types of communication-oriented CDSS are chat and instant messaging software, online collaboration, and net meeting software. | 3.89±0.87 | √ | √ | ||
Diagnosis and treatment of the disease through document-based CDSSs (for example, using an info button to search web pages and find documents to provide new documentation for physicians) | 4.00±0.81 | √ | √ | ||
Automatic assessment of disease risks in families to identify and diagnose people affected in a family to help family physicians hospitalize or quarantine individuals at home | 4.32±0.67 | √ | √ | ||
Diagnosis and control of respiratory diseases caused by COVID-19 and specialized support for spirometry4.16±0.83 | √ | √ | |||
Interpreter based on CT images obtained from patients' lungs to diagnose and control the disease | 4.37 ±0.68 | √ | √ | ||
Medication | Reminder in prescribing medication | 3.84 ±1.46 | √ | √ | |
Warning at the time of prescribing the drug at the wrong time | 3.95 ±1.35 | √ | √ | ||
Warning in case of drug allergies | 4.16 ±0.83 | √ | √ | ||
Estimation of drug dose | 4.05 ±0.91 | √ | √ | ||
Prohibiting the prescription of illegal and counterfeit drugs | 4.16 ±1.06 | √ | √ | ||
Preventing drug interactions | 4.32±0.82 | √ | √ | ||
Providing medication advice after discharge | 4.11±0.87 | √ | √ | ||
Managing the treatment of depression and prescribing antidepressants | 2.74±1.09 | * | 3.26±0.93 | × | |
Monitoring | Tracking and monitoring patients in the hospital using radio-frequency identification (RFID) technology | 4.16±0.89 | √ | √ | |
Monitoring the vital signs (body temperature, pulse rate (heart rate), blood pressure, respiration rate, and oxygen saturation) of patients in ICU | 4.63±0.59 | √ | √ | ||
Continuously monitoring patients' breathing and body temperature by smart devices or wearables4.58±0.60 | √ | √ | |||
Health services | Helping accommodate and hospitalize patients quickly in hospitals and medical centers by spatial decision support system (SDSS) | 4.42±0.69 | √ | √ | |
Helping identify high-risk locations to prevent the provision of services through mobile hospitals by SDSS | 4.16±0.76 | √ | √ | ||
Modeling patient behavior and using models to investigate the effect of treatment measures on patient survival | 4.11±1.10 | √ | √ | ||
Automated patient reporting system to provide a report of patients' physical and psychological condition in order to make the right treatment decision | 3.95±0.91 | √ | √ | ||
Providing treatment suggestions to reduce the side effects of the disease | 4.11±0.73 | √ | √ | ||
Remote monitoring and management of patients by physicians through the reception of symptoms such as fever, cough, shortness of breath, and acute respiratory problems | 3.89±1.37 | √ | √ | ||
Providing reminders to move patients from the ICU to other departments | 3.95±1.07 | √ | √ | ||
Automatic reminder to help with the patient discharge process | 4.11±0.93 | √ | √ | ||
Patient classification using signs and symptoms related to COVID-19 | 4.37±0.68 | √ | √ | ||
Grade disease severity to help hospitalization or home quarantine based on processing CT images of the lungs | 4.53±0.61 | √ | √ | ||
Accessing the patient's medical history to make the right decision | 4.26±1.09 | √ | √ | ||
Alerting in case of improper nutrition | 3.71±1.31 | 3.73±1.43 | × | ||
Electronic assessment of COVID-19 risk to prevent the disease | 4.21±0.91 | √ | √ | ||
Automatic assessment of disease risks by family physician | 3.16±1.38 | * | 3.26±1.17 | × | |
Assess and diagnose disabilities in older people with coronavirus | 3.26±1.19 | * | 3.71±1.31 | × |
*: Review in Delphi second round; √: Final accepted; ×: Final rejection, CT: Computerized Tomography, ICU: Intensive Care Unit