追求爱尔兰精神病学数据处理实践的数字创新:综合案例研究。

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES
JMIR Human Factors Pub Date : 2025-06-24 DOI:10.2196/64919
Rana Zeeshan, John Bogue, Amna Gill, Mamoona Naveed Asghar
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引用次数: 0

摘要

背景:在心理健康挑战方面,爱尔兰被列为最不利的欧洲国家之一。与主要侧重于诊断和治疗的一般保健服务相反,爱尔兰的精神保健部门处理基于医患对话的高度敏感的精神病病例记录。因此,这些数据必须以专门为精神病学定制的方法来收集、分析和存储。目的:本研究的目的包括检查爱尔兰精神卫生服务(MHS)的数据处理实践状况,确定精神病学病例记录在隐私、安全和可用性方面的缺陷,并提出一种创新的技术解决方案,以解决大多数表面上的挑战。方法:采用综合方法学进行研究。我们的方法包括全面的文献综述、伦理批准、以精神卫生专业人员为参与者的网络调查、精神科医生的访谈、与精神卫生组织的互动、对爱尔兰精神卫生委员会检查报告的分析以及对现有IT解决方案的比较评估。我们采用的研究方法的彻底性使我们对研究结果的可靠性和有效性充满信心。结果:我们的研究揭示了过时的数据管理、严重依赖文书工作导致的严重后果、并行工作量、令人担忧的低可读性笔记以及阻碍研究和分析检查的不可行设置。我们的调查报告显示,参与者在技术使用方面的平均得分为4.37分(SD 1.25)。在隐私措施方面,75% (n=12)的参与者提到,工作人员在查阅精神病病例记录时被允许保留手机。同样,80% (n=13)的提交强调,多个工作人员可以访问敏感笔记和患者的联系信息。另一方面,精神健康委员会的报告显示,他们的检查仅限于评估身体隐私。在技术对比分析方面,我们发现传统的IT解决方案容易受到网络攻击,无法同时应对多重挑战。因此,需要不同技术的创新融合。我们的研究支持用于数据收集的语音到文本转录,用于数据分析的交互式人工智能,以及用于数据存储和检索的许可区块链。我们的调查参与者还估计,建议的解决方案将使他们的工作量平均优化35%。结论:爱尔兰卫生部似乎在处理多重危机情况下的精神病学数据;因此,单维度的记录数字化不足以解决广泛关注的问题。除了强调爱尔兰精神病学中错综复杂的挑战和验证爱尔兰MHS数据处理实践创新的必要性之外,这项研究的最终结果是提出了一种创新的技术解决方案,该解决方案为大大改善、高效和合规的精神卫生保健服务提供了重大贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pursuit of Digital Innovation in Psychiatric Data Handling Practices in Ireland: Comprehensive Case Study.

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 that addresses most of the surfaced challenges.

Methods: The study was conducted using a comprehensive methodology. Our approach involved a thorough literature review, ethics approval, web-based 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, 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 nonviable setup that hinders research and analytical examination. Our survey reported an average score of 4.37 of 10 (SD 1.25) given by participants in terms of technology use. Regarding privacy measures, 75% (n=12) of participants mentioned that staff members are allowed to keep their phones while accessing psychiatric case notes. Similarly, 80% (n=13) of submissions highlighted that multiple staff members can access sensitive notes and patients' contact information. On the other hand, Mental Health Commission 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 cyberattacks 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 artificial intelligence 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%.

Conclusions: Irish MHS seem to be handling psychiatric data under polycrisis circumstances; 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 health care.

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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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