Key Principles: Data Collection and Reporting | Quality 101 | Quality & Innovation | SHM | Society of Hospital Medicine

General considerations

  • Prioritize what you collect. Don’t be data rich, info poor (a DRIP).
  • To guide the performance improvement process, it is essential that the improvement team track performance longitudinally using a standard set of metrics.
    At a minimum, core data should be collected on glycemic control, safety (including hypoglycemia) and insulin use patterns.
  • Measuring outcomes is important, but focusing on performance indicators is essential in order to get quick feedback and will allow you to focus on the steps that lead to improved outcomes.
  • Sampling/paper collection is quite acceptable if automated data collection is not yet possible. Collect just enough data to inform your team of baseline processes and clinical performance indicators and whether you are making a difference.
  • Carefully define what you want to see. Imagine the end product of data collection and reporting and make sure it is what you want.
  • Define how data will be collected and reported and assign responsibility for carrying this out.
  • Try different methods and measures — they will evolve over time.

If you need additional support in leading a quality improvement effort, SHM’s signature programs can guide your team through each phase and provide individual mentoring in areas such as care transitions (Project BOOST®), Glycemic Control (GC), Medication Reconciliation (MARQUIS), Atrial Fibrillation (AFIB) and Venous Thromboembolism (VTE). We also provide resources by clinical topic to help you find exactly what you need.

No matter where you are in the spectrum, SHM can assist you in your efforts. SHM encourages you to join the QI community and view the calendar for up to date information on key events and discussions around the quality and innovation movement.

Questions or Comments, please email