ICELogo_1000x188 (2).jpg

ICE Partner Banner.JPG

Program Guidelines

Are you involved in shifting the focus from lab-centric to patient-centric? If so, then ICE is intended to spotlight your efforts and provide a mechanism for sharing your results with others who want to follow in your footsteps. 

Any healthcare professional(s) can submit an abstract regardless of their membership status in CLMA or even whether they work in a clinical laboratory. Quality improvement efforts often involve teams and a focus on patient outcomes will frequently involve a multi-disciplinary approach. Team submissions are expected, but not required. 


A value chain that focuses on clinical effectiveness could look like the one below:

Value Chain

Submissions are to be categorized in a similar fashion.  When submitting your abstract, you will be asked to assign it to one of the following three categories:

  1. TEST ORDERING: Timely and appropriate ordering, e.g. utilization efforts designed to promote appropriateness of orders (avoidance of over or under ordering)
  2. TEST PROCESSING: Systematic improvements in process that can be shown to improve patient outcomes, e.g. reductions in waste that produces delays, failure to retrieve or reduction in inaccurate results. Interventions can occur anytime from order entry to result retrieval.
  3. RESULT UTILIZATION: Timely and appropriate interpretation and action, e.g. interventions that reduce failure to follow-up or unsupported clinical decisions.


Abstract Requirements

ICE submissions must describe quality improvement initiatives, either piloted or implemented, that address clinical effectiveness in laboratory medicine. These abstracts should include information that allows reviewers to evaluate the replicability of such programs at their institutions. Each abstract should be 750 words or less across all four sections and have a descriptive title:

  • Statement of Problem and Background (Goal, Context, Rationale)
  • Intervention/Study Plan/Measures (Intervention choice, Study Design, Measure Appropriateness)
  • Data Analysis and Results (Actual data, Quality Assessment of Data, Data Interpretation, Limitations, Findings)
  • Discussion and Lessons Learned (Conclusions, Generalizability, Implications for Others) 

Detailed Abstract Guidelines

  • The abstract title should be brief and should clearly indicate the content of the paper. Abbreviations must not be used in abstract titles.
  • Please state authors' names and institutional affiliations in separate fields. Omit titles, degree, institutional appointments, street names, and postal codes.
  • Single space all typing with one space between paragraphs.
  • Underlining or capitalization for emphasis is not permitted.
  • Because of copyright law, a submitted abstract may not be identical to a previously published abstract.
  • There is no limit on the total number of abstracts submitted by each presenter. There is no limit to the number of poster presentations per individual.
  • All accepted presenters will be required to register for KnowledgeLab in order to have their posters displayed.  CLMA members who submit accepted abstracts will recieve complimentary registration to attend KnowledgeLab.