MAV-clic: Management, analysis, and visualization of clinical data

Zeeshan Ahmed, Minjung Kim, Bruce T. Liang

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


Objectives: Develop a multifunctional analytics platform for efficient management and analysis of healthcare data. Materials and Methods: Management, Analysis, and Visualization of Clinical Data (MAV-clic) is a Health Insurance Portability and Accountability Act of 1996 (HIPAA)-compliant framework based on the Butterfly Model. MAV-clic extracts, cleanses, and encrypts data then restructures and aggregates data in a deidentified format. A graphical user interface allows query, analysis, and visualization of clinical data. Results: MAV-clic manages healthcare data for over 800 000 subjects at UConn Health. Three analytic capabilities of MAV-clic include: creating cohorts based on specific criteria; performing measurement analysis of subjects with a specific diagnosis and medication; and calculating measure outcomes of subjects over time. Discussion: MAV-clic supports clinicians and healthcare analysts by efficiently stratifying subjects to understand specific scenarios and optimize decision making. Conclusion: MAV-clic is founded on the scientific premise that to improve the quality and transition of healthcare, integrative platforms are necessary to analyze heterogeneous clinical, epidemiological, metabolomics, proteomics, and genomics data for precision medicine.

Original languageEnglish (US)
Article numberooy052
Pages (from-to)23-28
Number of pages6
JournalJAMIA Open
Issue number1
StatePublished - Dec 29 2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Health Informatics


  • analysis
  • data mining
  • database
  • healthcare
  • management


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