AI in IDD
Here is a little bout how I am using AI in IDD. Our licensed Co-Pilot, has proven to be incredibly productive and time-saving, especially in reviewing documents for errors against regulations, identifying discrepancies between various care plans for the same individual, analyzing and summarizing documents for relevant information in investigations (reducing the closure time from 90 days to 7), suggesting corrective actions for internal/external audits, trending data sets (such as surveys, assessments, and audits), and proposing opportunities and solutions in light of the regulations. AI can audit documents, policies, and procedures with extreme accuracy against 6400 and 6100 regulations (PA regs). We have recently implemented this solution to streamline and audit our Medicaid billing process prior to submission. It enables us to identify billing errors, uncover unbilled days we should be billing for, and flag days we should not be billing - significantly reducing the time required for this process from 30 hours to 4 for a months' worth of billing. For systems that are not directly compatible with AI integration, we leverage AI to develop macros that process raw data exports. This allows us to extract precisely the information we need in seconds, rather than spending hours on manual analysis.
Welcome to the AI Consortium!
The AI Consortium for Healthcare-Focused Non-Profits brings together like-minded non-profit organizations to drive responsible AI and collaborate on addressing shared challenges through the power of artificial intelligence (AI). This initiative fosters a community of learning, innovation, and action, enabling healthcare-focused non-profits to overcome barriers and unlock the potential of AI to achieve greater mission impact. The consortium aims to: Build a Thriving Community: Create a connected ecosystem of healthcare-focused non-profits for ongoing engagement, knowledge sharing, and resource collaboration. Tackle Shared Challenges: Address common obstacles such as AI governance, data integration, resource constraints, and operational inefficiencies through collaborative learning and shared solutions. Empower Non-Profits with AI Knowledge: Provide education, training, and practical tools to help organizations evaluate and implement AI effectively and ethically. Drive Mission-Driven Outcomes: Leverage AI to improve healthcare delivery, enhance operational efficiency, and promote equity in underserved communities. Deliver Measurable Impact: Support participating organizations in achieving tangible results through scalable AI solutions tailored to their unique challenges.