Artificial Intelligence Chatbots in Indian Healthcare System and Therapeutics – Transforming Patient Experience, Ethical Implications and The Challenges Faced
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 400
- 试验地点
- 1
- 主要终点
- The proportion of individuals using AI chatbots
研究概览
简要总结
This study explores the transformative potential of AI chatbots in the Indian healthcare system, emphasizing their ability to enhance patient care, streamline services, and address the challenges of accessibility in a resource-constrained environment. The 24/7 availability of chatbots can help manage routine queries and alleviate the workload of healthcare professionals. However, ethical concerns such as patient data privacy, accuracy of medical advice, and varying levels of technology acceptance across diverse populations are also addressed. The primary objective is to estimate the proportion of individuals using AI chatbots in routine patient care, while secondary objectives focus on understanding attitudes, perceptions, and challenges related to AI use in healthcare. The study employs a cross-sectional online survey design, requiring approval from the Institutional Ethics Committee and adherence to ethical guidelines. It includes Indian healthcare professionals aged 18 and above who provide informed consent, with an estimated sample size of 400 participants. Data collection will occur through digital questionnaires distributed via various online platforms. Statistical analyses will summarize demographics and perceptions, while further analysis will identify predictors of AI usage. Ensuring participant confidentiality is paramount, with no personal identifiers collected. Ultimately, the study aims to provide insights into how AI chatbots can improve patient interactions, access to medical information, and overall healthcare experiences in India, while examining ethical implications and identifying challenges in integrating chatbots into existing frameworks, leading to actionable recommendations for optimizing their use in healthcare settings
研究设计
- 研究类型
- Observational
入排标准
- 年龄范围
- 18.00 Year(s) 至 99.00 Year(s)(—)
- 性别
- All
入选标准
- •Indian healthcare professionals of any biological sex over the age of 18 yrs and above.
- •Willing to give written informed consent.
排除标准
- •Incompletely filled forms 2) Those who failed to answer the trap question (The trap question would be a repeat of one of the previous questions.
- •Any discordance in the answer option chosen will be considered as failed).
- •Participants who have been working abroad in the last 6 months.
结局指标
主要结局
The proportion of individuals using AI chatbots
时间窗: Baseline
次要结局
- Attitudes, perceptions and challenges in the use of AI(Baseline)
研究者
Akshay Balakrishna
Kasturba Medical College, Manipal
