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Effect of an algorithm for automatic placing of standardised test order sets on low-value appointments and attendance rates at four Spanish teaching hospitals: an interrupted time series analysis.

Juan Antonio Álvaro de la ParraMarta Del Olmo RodríguezCristina Caramés SánchezÁngel BlancoBernadette PfangSagrario Mayoralas-AlisesJosé C Fernández-FerroEmilio CalvoÓscar Gómez MartínJesús Fernández TaberaCarmen Plaza NohalesCarlota NietoJorge Short Apellaniz
Published in: BMJ open (2024)
An algorithm for placing automatic standardised test order sets can reduce low-value follow-up appointments by allowing specialists to confirm diagnoses and initiate treatment at first appointment, also leading to early discharge to primary care and a reduction in 'did not attend' rates. This initiative points to an improved process for outpatient diagnosis and treatment, delivering healthcare more effectively and efficiently.
Keyphrases
  • deep learning
  • machine learning
  • healthcare
  • primary care
  • neural network
  • quality improvement
  • smoking cessation