A self-assessment screening tool to prioritize patients with mental disorders

• Main Author: Mondal, Sourabh
• Format: Others
• Language: English
• Published: Uppsala universitet, Informationssystem 2018
• Subjects: mental Health; psychometric tool; screening tool; mental disorders; Information Studies; Biblioteks- och informationsvetenskap
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-363135

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.