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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
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Computer-based patient record with a cardiologic extension

H Stam1, A M van Ginneken

  • 1Department of Medical Informatics, Faculty of Medicine, Erasmus University, Rotterdam, The Netherlands.

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Summary
This summary is machine-generated.

This study introduces a flexible Computer-based Patient Record (CPR) model to improve structured data acquisition for medical specialists. The CPR system enhances data sharing and analysis by using a modular

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Area of Science:

  • Medical Informatics
  • Health Information Systems
  • Clinical Documentation

Background:

  • Traditional paper medical records suffer from significant limitations including poor readability, completeness, consistency, and availability.
  • Electronic health records improve legibility and availability but often rely on free text, hindering data analysis and decision support.
  • Specialists, with diverse expertise and complex work environments, require flexible systems that accommodate varied data entry needs.

Purpose of the Study:

  • To develop a Computer-based Patient Record (CPR) model that supports specialists in acquiring patient data in a structured format.
  • To enhance data sharing between physicians and patients and allow specialists to record data both within and outside their primary domain.
  • To create a system that facilitates flexible retrieval, efficient data entry, and robust data analysis.

Main Methods:

  • Implementation of a 'mother' record containing common patient information, extendable with specialized subrecords for specific domains.
  • Development of a patient profile for a quick overview of patient status, including diagnoses, medications, and test results.
  • Design of an interface allowing conventional free-text entry while promoting structured data input through user feedback and benefits highlighting.

Main Results:

  • A versatile CPR model was developed, featuring a 'mother' record and specialized subrecords (e.g., for cardiac failure out-patient clinic).
  • The system supports flexible data retrieval, efficient entry, and potential for data analysis.
  • The interface balances conventional free-text entry with incentives for structured data acquisition.

Conclusions:

  • The developed CPR model effectively addresses the need for structured data acquisition among medical specialists.
  • The modular design and flexible interface support diverse specialist requirements and promote better data management.
  • This approach enhances the utility of electronic health records for clinical decision-making and research.