Due to the continuous growth of patients with mental disorders, it has been a strenuous job to look after each patient and tailor the appropriate treatments for them on time. The thesis proposes a design science framework in the form of an IT artefact to prioritize the patients with mental disorders, considering the severity of the situation. The IT arte-fact will be using expert’s knowledge to design a self-assessment screen-ing tool that will evaluate the criticality of a patient’s mental health. This tool will also incorporate the psychometric scale DSM-5 Self-Rated Level 1 Cross-Cutting Symptom Measure, Adult electronically to de-termine what will be the next stage in the process of patients’ treat-ments. The process of prioritizing patients is prolonged and remains to be tedious at the hospital and also there is always a possibility of miss-ing some information while carrying out the job manually. The self-assessment system will serve two goals. It will shorten the initial screen-ing process and also the likelihood of any human error. The system is not meant to replace healthcare professionals but to build a bridge be-tween the patients and the doctors to make everyone’s life more orga-nized. The results indicate that it is possible to create a framework and the relevant prototype with the help of expert’s knowledge that can prioritize patients with mental disorders. It also demonstrates that the system can digitalize DSM-5 Self-Rated Level 1 Cross-Cutting Symp-tom Measure, Adult scale to determine possible problem domains for further diagnosis.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-363135 |
| Date | January 2018 |
| Creators | Mondal, Sourabh |
| Publisher | Uppsala universitet, Informationssystem |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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