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Carlos Molina1, Belén Prados-Suarez1

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This summary is machine-generated.

We introduce an enhanced digital phenotype definition integrating Electronic Health Records and wearable data. This approach enables personalized medicine by predicting future health states and guiding interventions for improved patient outcomes.

Keywords:
Artificial IntelligenceDigital phenotypeElectronic Health RecordPersonalized medicineWearables

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Area of Science:

  • Digital Health
  • Personalized Medicine
  • Biomedical Informatics

Background:

  • The concept of digital phenotype is evolving with increasing data availability.
  • Electronic Health Records (EHR) and wearable devices generate vast amounts of patient data.
  • Integrating diverse data sources is crucial for a comprehensive understanding of patient health.

Purpose of the Study:

  • To propose a novel definition of digital phenotype.
  • To incorporate Electronic Health Records (EHR) and wearable data into the digital phenotype formulation.
  • To demonstrate the application of this enhanced digital phenotype for personalized medicine and future health state prediction.

Main Methods:

  • Developing a new formalism for digital phenotype definition.
  • Integrating data from Electronic Health Records (EHR).
  • Incorporating data from wearable devices.

Main Results:

  • A comprehensive definition of digital phenotype is proposed.
  • The formalism allows for the representation of a patient's health state across time (past, present, future).
  • The application in personalized medicine is demonstrated for predicting optimal interventions.

Conclusions:

  • The proposed digital phenotype definition offers a richer representation of patient health.
  • This approach facilitates personalized medicine by enabling future health state prediction.
  • The integration of EHR and wearable data is key to advancing proactive and personalized healthcare.