Clinical informatics to improve quality of care: A population-based system for patients with diabetes mellitus

Rajeev Chaudhry, Sidna M. Tulledge-Scheitel, Matthew R. Thomas, Vicki L. Hunt, Juliette T. Liesinger, Ahmed S. Rahman, James M. Naessens, Lynn A. Davis, Robert J. Stroebel

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Background The prevalence of diabetes mellitus is increasing in the USA. However, control of intermediate outcome measures remains substandard. Recently, significant emphasis has been placed on the value ofelectronic medical records and informatics systems to improve the delivery of health care. Objective To determine whether a clinical informatics system improves care of patients with diabetes mellitus. Methods In this quality improvement pilot initiative, we identified 48 patients with diabetes mellitus who were due for their annual haemoglobin A1c (HbA1c), low-density lipoprotein (LDL) and micro- albumin tests. Through our newly developed clinical informatics initiative, patients were reminded to schedule tests and a physician appointment. Seventy- five patients without reminders served as controls. Results A significant improvement in LDL control was achieved in the intervention group (35.4% vs 13.3%; P=0.004). The intervention group had a greater percentage of patients who underwent the three tests, and members ofthis group also showed greater control of haemoglobin A1c, but these differences were not statistically significant. Conclusions A clinical informatics system, used to deliver proactive, co-ordinated care to a population of patients with diabetes mellitus, can improve process and also quality outcome measures. Larger studies are needed to confirm these early findings.

Original languageEnglish (US)
Pages (from-to)95-102
Number of pages8
JournalInformatics in Primary Care
Issue number2
StatePublished - Sep 2009


  • Clinical informatics
  • Diabetes mellitus
  • Quality of health care

ASJC Scopus subject areas

  • Leadership and Management
  • Health Informatics
  • Family Practice


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