Enhancing Patient Engagement with AI: An Insodus Technologies Case Study

Psychiatry-UK is the UK’s leading online psychiatric service, committed to accessible mental healthcare through innovative online platforms. Their success relies on a seamless digital infrastructure serving both patients and clinicians. Recognizing the potential of their extensive data, they sought to leverage data science for innovation and improved care. Psychiatry-UK utilized medical treatment forms for patient data collection (symptoms, history, etc.). However, these forms suffered from length, inflexibility, complex questions, response fatigue, lack of guidance, accessibility issues, subjectivity, privacy concerns, and contextual limitations. This hindered patient engagement and the quality of collected data, limiting opportunities for deeper insights and personalized care. The need for a more dynamic and engaging data collection method was evident.

Psychiatry-UK aimed to leverage advanced AI and NLP expertise to enhance patient engagement and improve their platform. Key objectives included building an interactive chatbot system, establishing an internal data science team, and ultimately improving the patient experience through data-driven capabilities. They engaged Insodus Technologies for data science services to initiate this transformation. Key milestones included creating and integrating the chatbot system and recruiting a core data team.

Insodus Technologies focused on leveraging data science and AI to transform Psychiatry-UK's patient information gathering.

Implementation Steps:

1. Initial Assessment: Understanding clinician and patient needs and current system limitations.
2. AI Chatbot Design: Building an AI-powered interactive chat system to evaluate responses and ask follow-up questions for richer, more complete information.
3. Strategic Execution: Collaborating with stakeholders, conducting EDA to define ideal responses, designing an efficient chatbot, and gathering feedback for iterative improvement.

1. Overcoming Limited Data Science Capability: Insodus Technologies provided the expertise to define necessary data science skills and facilitate talent acquisition.
2. Resource Optimization: Our strategic guidance enabled Psychiatry-UK to build a focused data science team within their resource constraints.
3. Enhanced Understanding: The initiative improved Psychiatry-UK’s understanding of data-driven opportunities for clinical and operational improvements.
4. Established AI Framework: We defined necessary AI roles and supported the recruitment of skilled AI professionals.
5. Executed Data-Driven Solutions: We collaborated to design, develop, and deploy an intelligent chatbot to improve patient engagement.

Psychiatry-UK’s journey demonstrates the value of strategic data science engagement, even with resource limitations. The established AI framework positions them for future innovation and growth. Insodus Technologies is proud to have facilitated this crucial step toward data-driven excellence in accessible mental healthcare.