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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.