OPTACIMM Lab

Optimizing with Applied Clinical Informatics Models and Methods

Principal Investigators: Sarah Collins Rossetti, RN, PhD, FACMI, FAMIA, and Kenrick Cato, PhD, RN, CPHIMS, FAAN

Mission & Vision Statements

The mission of the Optimizing with Applied Clinical Informatics Models and Methods (OPTACIMM) Center is to use informatics to advance healthcare delivery and outcomes for individuals and communities.

Our vision is a culture built on teamwork, collaboration, and open sharing of ideas that encourages input from all perspectives – including data scientists, health professionals, trainees, patients, caregivers, and community members – to enable innovative research ideas that can have an impact in the clinical setting.

Goals and Areas of Focus
• Advance the Quintuple Aim
• Conducting informatics evaluation
• Design and leverage an infrastructure that supports clinical intelligence, research informatics, and education/population health informatics
• Enhance and apply analytics to improve outcomes
• Patient empowerment
• Promote interoperability
• Promote human-centered artificial intelligence
• Provide clinical informatics training to students, clinicians, and administrators
• Support healthcare organizations to conduct informatics interventions
• Support the conduct of rigorous informatics research

Domains Covered

• Policy 
• Nursing
• Clinical decision support
• Time-motion study methods
• Documentation burden

• Trust in/understandability of machine learning
• Human-centered artificial intelligence
• Qualitative research 
• Aging in place
• Maternal risk and care quality
• Preventive medicine

Meet Our Lab:

Sarah Collins Rossetti, Principal Investigator
Gregory Alexander, Co-Investigator
Suzanne Bakken, Co-Investigator
Kenrick Cato, Co-Investigator

Temiloluwa Daramola, Coordinator, Member
Johnny Lo, Clinical Informatics Fellow, Member
Sarah Harkins, Postdoctoral Research Scientist, Member
Rachel Lee, Postdoctoral Research Scientist, Member
Courtney Diamond, PhD Candidate, Member
Rebecca Shyu, PhD Candidate, Member
Varsha Varkhedi, Graduate, Member
Vicky Wang, Graduate, Member

Recent Publications

Study Websites

  • Scalable, Shareable, and Computable Clinical Knowledge for AI-Based Processing of Hospital-Based Nursing Data (SC2K)
  • Communicating Narrative Concerns Entered by RNs (CONCERN) Early Warning System
  • Essential Nurse Documentation: Studying EHR Burden During COVID-19 (ENDBurden)
Photo by Odelia Ghodsizadeh/CUIMC