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Quality of Life Trajectories With Integration Into Electronic Health Records for High-Resolution Patient Outcomes:

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Summary
This summary is machine-generated.

Integrating electronic patient-reported outcomes into electronic health records enables high-resolution tracking of health-related quality of life (HRQoL). This approach is technically and clinically feasible for routine care, offering precise disease characterization and treatment comparison.

Keywords:
electronic health recordsfeasibility studymobile devicespatient-reported outcome measuresquality of life

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Area of Science:

  • Digital Health
  • Health Informatics
  • Clinical Outcomes Research

Background:

  • Patient-reported outcome measures (PROMs) like health-related quality of life (HRQoL) are crucial but often collected infrequently.
  • Frequent electronic PROMs (ePROMs) face declining response rates.
  • Integrating ePROMs into electronic health records (EHRs) may enhance response rates and personalize therapy.

Purpose of the Study:

  • To assess the technical and clinical feasibility of high-frequency HRQoL assessments within EHR systems for routine clinical care.

Main Methods:

  • Patients received mobile device prompts with links to a web-based app (MyEDC) for HRQoL assessment.
  • Data were transferred via a proxy to the hospital network and uploaded to EHRs.
  • High-frequency HRQoL data were collected across psychosomatics, hematology, visceral surgery, and neurosurgery use cases.

Main Results:

  • High-resolution QoL trajectories were obtained for 110 patients over 2 weeks to 3 months.
  • Clinically relevant findings included significant HRQoL increases in psychosomatics, correlations with EORTC QLQ-C30 in hematology, and associations with pain in visceral surgery.
  • Response times were rapid (median 0.9-7.1 hours), and HRQoL correlated with disease-specific symptoms, confirming clinical validity.

Conclusions:

  • High-resolution QoL tracking via EHR integration is technically and clinically feasible.
  • This method provides a novel readout beyond traditional endpoints.
  • It enables precise disease characterization and facilitates comparative treatment analysis.