Melanie Mecca is the managing author of the Data Management Maturity (DMM)SM Model. Her team created a business-centric method for assessing an organization’s capabilities via the DMM, and she leads Assessments for organizations in multiple industries. She directed development of three successive courses leading to the Enterprise Data Management Expert certification, web-based learning, and DM topic seminars. Based on her 30+ years solving enterprise data challenges, Melanie advocates measurement of data management capabilities as best acceleration path for empowering governance, achieving business value, and advancing the organization’s business strategy.
Track: Industry Sector CMMI Adoption: Healthcare Track
Presentation Title: Data Quality Practices Improve Patient Safety
Presentation Summary: Accurately and consistently matching patient data records is critical to ensuring safe and effective care to patients, preventing incorrect treatment and diagnosis decisions. The Patient Demographic Data Quality (PDDQ) Framework was derived from the Data Management Maturity Model by CMMI Institute, commissioned by Health and Human Services, Office of the National Controller for Health IT. The PDDQ helps organizations ensure that formulation, agreements, approvals, and implementation of standards and processes will be effective and sustainable, supporting the minimization of the number of duplicate records across the industry, ultimately improving patient safety.