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Seven years experience with a computerized diabetes clinic database

J R Flack1

  • 1Diabetes Centre Bankstown-Lidcombe Hospital, Lidcombe NSW 2141 Australia.

Medinfo. MEDINFO
|January 1, 1995
PubMed
Summary

A computerized diabetes clinic database system enhances patient care and research. This system improves data management, communication with doctors, and patient engagement in their health.

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Area of Science:

  • Medical Informatics
  • Diabetes Management
  • Health Information Technology

Background:

  • The increasing use of information technology in medicine necessitates robust systems for managing patient data.
  • A computerized system was sought to maintain clinical records, facilitate communication, and support research in a busy diabetes clinic.

Purpose of the Study:

  • To develop and assess a computerized clinical database system for diabetes outpatient care.
  • To improve clinic management, communication with referring practitioners, and enable clinical research.
  • To enhance patient engagement and understanding of their health status through direct data interaction.

Main Methods:

  • Development of a clinical database system starting in 1987, initially on a single PC and later upgraded to a PC Local Area Network (LAN).
  • Inclusion of baseline demographic data, clinical history, examination and investigation results, therapy details, and health outcome monitoring.
  • Implementation of direct data entry, patient viewing of results via graphs, and generation of reports for practitioners; system assessments included surveys of referring doctors and patient attitude questionnaires.

Main Results:

  • The system successfully managed patient data, facilitated clinic operations, and expedited communication with referring doctors.
  • Post-upgrade, the LAN system enabled direct data entry, patient visualization of progress (e.g., blood sugar control), and immediate summary generation.
  • Surveys indicated near-universal acceptance and preference for the system over traditional methods by referring doctors; patients also responded positively to direct data involvement.

Conclusions:

  • The developed Diabetes Clinic Database System significantly improved diabetes outpatient care and inter-professional communication.
  • The system provides a valuable research database for diabetes management issues.
  • Integrating information technology with clinical medicine, involving patients in data interpretation, enhances healthcare delivery and is acceptable to both patients and clinicians.

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