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. 2022 Apr 1;12(2):213–224. doi: 10.31661/jbpe.v0i0.2105-1336

Table 3.

Main groups and subgroups related to the applications of clinical decision support system (CDSS) in diagnosis, management, and control of COVID-19

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