JMIR Publications

ABSTRACT

Background:

Ireland is ranked among the most disadvantageous European countries in terms of mental health challenges. Contrary to general health services that primarily focus on diagnosis and treatment, the mental-health sector in Ireland deals with highly sensitive psychiatric case notes based on patient-doctor conversations. Such data, therefore, must be collected, analyzed, and stored with an approach customized specifically for psychiatry.

Objective:

This study's objective involves examining the state of data handling practices in the Irish Mental Health Services (MHS), identifying the shortcomings regarding privacy, security, and usability of psychiatric case notes, and proposing an innovative technological solution which addresses most of the surfaced challenges.

Methods:

The study was conducted using a comprehensive methodology. Our approach involved a thorough literature review, ethical approval, online surveys with mental-health professionals as participants, interviews of psychiatrists, interactions with mental-health organizations, analysis of inspection reports by the Ireland Mental Health Commission (MHC), and comparative evaluation of existing IT solutions. The thoroughness of our adopted research methodology instills confidence in the reliability and validity of our findings.

Results:

Our study revealed outdated data-management, heavy reliance on paperwork resulting in serious repercussions, parallel workload, alarmingly low readability of notes, and a non-viable setup that hinders research and analytical examination. Our survey reported an average score of 4.37/10 given by participants in terms of technology utilization. Regarding privacy measures, 75 percent of participants mentioned that staff members are allowed to keep their phones while accessing psychiatric case notes. Similarly, 80 percent submissions highlighted that multiple staff members can access sensitive notes and patients’ contact information. On the other hand, MHC reports showed that their inspections are limited to evaluating physical privacy only. Regarding technological comparative analysis, we observed that conventional IT solutions are vulnerable against cyber-attacks and fall short in addressing multiple challenges simultaneously. Therefore, an innovative convergence of different technologies is needed. Our research supports speech-to-text transcription for data collection, interactive AI for data analysis, and permissioned blockchain for data storage and retrieval. Our survey participants also estimated the proposed solution to optimize their workload by an average of 35 percent.

Conclusions:

Irish MHS seem to be handling psychiatric data under polycrisis circumstances, and therefore a single dimensional digitization of records would not be sufficient in addressing the wide range of concerns. In addition to highlighting intertwined challenges in Irish Psychiatry and validating the need for innovation in data handling practices in Irish MHS, this study culminated in the proposal of an innovative technological solution that offers a significant contribution to a considerably improved, efficient and compliant service delivery in mental healthcare.