The Maryland Department of Health (MDH) is seeking information on solutions for AI agents, specialized large language models (LLM), robotic process automation (RPA), and artificial intelligence (AI) to transform Medicaid and public health operations. The goal is to reduce costs, improve efficiency, and ensure compliance with HIPAA, federal laws, and Maryland state laws. Respondents are asked to provide specific use cases, demo videos, and company information. The RFI contains preliminary information to initiate discussion with the vendor community, and the requirements are not final. The issuance of this RFI does not constitute a commitment to issue a request for bids, award a contract, or pay any costs incurred in preparation of a response. Some of the use cases include: * Automating Medicaid eligibility determination and enrollment * Automating ex-parte renewals * Automating redeterminations for enrollees not eligible for ex-parte * Automating claims processing * Automating appeals and grievances * Detecting fraudulent patterns in claims data * Generating individualized treatment plans * Assessing patient risk levels * Analyzing social determinants of health * Predicting care gaps in patient treatment * Optimizing performance of operational applications * Assisting in code development * Enhancing language access for non-English-speaking patients * Automating procurement bid evaluations * Predicting equipment maintenance needs * Analyzing mainframe logs to identify performance bottlenecks * Detecting security vulnerabilities in IT networks * Optimizing scheduling of healthcare staff * Providing real-time guidance on Medicaid policy interpretation * Automating patient appointment scheduling * Detecting anomalies in Medicaid utilization data * Enhancing diagnostic accuracy using imaging data * Optimizing inventory management for medical supplies * Predicting patient readmission risks * Analyzing procurement market data to recommend cost-effective vendor selections * Monitoring IT system uptime * Generating predictive maintenance schedules for mainframe hardware * Enhancing telemedicine platforms with real-time patient monitoring * Predicting staffing needs in mental health facilities * Analyzing procurement bid data to identify high-value opportunities * Detecting data quality issues in mainframe records * Optimating IT resource allocation * Enhancing patient triage using symptom analysis from call data * Predicting procurement lead times * Monitoring mainframe data flows for integrity checks * Optimizing IT disaster recovery plans * Automating data entry and reconciliation across patient and billing records * Managing repetitive transactions on legacy systems * Submitting regulatory reports by extracting and formatting data from clinical systems * Coordinating community health workers for patient engagement * Allocating resources to high-need areas * Processing billing and claims submissions with validation of procedure codes * Optimizing workload scheduling on legacy platforms * Automating procurement document generation and submission workflows * Updating mainframe records with data from modern systems * Performing routine IT system backups and recovery checks * Automating vendor onboarding processes * Automating patient record updates across multiple healthcare systems * Managing routine maintenance tasks on legacy IT infrastructure * Processing procurement invoice approvals * Updating Medicaid eligibility statuses * Automating data migration from mainframe to cloud-based platforms * Executing routine security audits on IT networks * Automating patient discharge summaries * Managing procurement request routing * Updating mainframe indexes * Processing IT change requests * Automating Medicaid provider credential verification * Managing procurement contract renewals * Updating IT asset inventories * Analyzing operational workflows to identify inefficiencies * Auditing processes to ensure compliance with regulatory standards * Evaluating cost structures in resource allocation * Mapping interdepartmental processes * Analyzing procurement workflows * Documenting mainframe processing steps * Examining IT incident response processes * Analyzing patient care delivery processes * Mapping procurement approval processes * Evaluating IT deployment processes * Documenting Medicaid claims processing steps * Analyzing mainframe batch job workflows * Analyzing staff training processes * Mapping procurement vendor onboarding * Evaluating IT patch management processes * Analyzing patient referral processes * Mapping procurement payment processes * Extracting insights from employee feedback * Detecting trends in patient feedback * Scanning public communications to identify early signs of health threats * Analyzing vendor communications to detect issues * Reviewing stakeholder feedback to identify pain points * Monitoring industry communications to detect market trends * Analyzing staff communications to identify barriers in Medicaid enrollment processes * Extracting insights from mainframe error logs * Detecting IT support request patterns * Extracting insights from patient call logs * Analyzing procurement team communications * Detecting trends in IT support tickets * Reviewing Medicaid provider communications for service quality feedback * Monitoring mainframe operator logs for operational insights * Analyzing mental health patient communications for care plan adjustments * Detecting procurement negotiation trends * Reviewing IT team chats to identify collaboration gaps * Extracting insights from Medicaid member surveys * Analyzing procurement RFP responses for consistency * Monitoring IT outage reports for root cause analysis * Fine-tuning a model on healthcare policies to automate document drafting and compliance guidance * Enhancing a unified platform for eligibility, claims, and member services with real-time support * Interpreting regulations to provide guidance for clinical and administrative processes * Assisting in drafting procurement contracts with compliance to state regulations * Generating standardized responses for Medicaid inquiries based on policy data * Analyzing mainframe documentation to support transition to modern systems * Providing natural language summaries of IT system performance reports * Assisting in creating training materials for healthcare staff using policy data * Generating reports on patient care trends from unstructured clinical notes * Supporting procurement staff with real-time contract clause suggestions * Analyzing IT incident reports to recommend preventive measures * Providing summaries of Medicaid program updates for stakeholder briefings * Generating patient education materials in multiple languages * Assisting in drafting IT policies based on regulatory requirements * Providing procurement FAQs for vendor inquiries * Summarizing mainframe operational logs for management review * Generating procurement training modules for staff * Summarizing mainframe upgrade plans for stakeholder approval