Computers that Show Recognition of Patients' Symptoms

نویسندگان

  • Farrokh Alemi
  • Hosai Hesham
  • Arthur R. Williams
  • Phoebe D. Williams
  • Blaine Donley
  • Raya E. Kheirbek
چکیده

The goal of automated symptom management has often been narrowly defined as collection and reporting of data. Yet, an automated system can do more. These s ystems can mimic h uman reassurance f or patients th at their symptoms have been recognized. Patient engagement has long been recognized as central in symptom management. An electronic system was b uilt to co llect the Treatment Related Symptom Checklist (TRSC) and to reassure patients. In this paper we di scuss the design of the s ystem and procedures t aken to show recognition of pa tients’ s ymptoms. The lit erature o n cl inician-patient in teractions was reviewed selectively. Methods used by clinicians to promote patient engagement during medical hi story were identified. Similar methods w ere i ncorporated into the symptom management s ystem in order to facilitate understanding by t he pa tient. These i ncluded ( a) co nversational data co llection as opposed t o s urvey s tyle or s tandardized questionnaires, ( b) s hort response phrases indicating understanding of the reported symptom, (c) use of open ended questions to reduce asking long lists of symptoms, (d) leading questions that ask fo r confirmation of expected symptoms, (e) review of symptoms at designated stages, and (d) alerting patients when computer has informed the clinician about patient-reported symptoms. We are in the process of pilot testing the system among oncology pa tients in one hospital. Examination of existing informatics knowledge e ases i ntegration o f well es tablished p aper-based tools into automated systems.

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تاریخ انتشار 2014