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Translating clinical and patient-reported data to tailored shared decision reports with predictive analytics for knee and hip arthritis

Bibliographic Data

ID15301211
AuthorsPatricia D Franklin (0000-0002-4441-0533, Northwestern University, corresponding author), Hua Zheng (0000-0002-3357-9878, University of Massachusetts Chan Medical School), Christina Pavetto, Christina Bond, Danielle C Lavallee (0000-0002-5555-9675, University of Washington)
Year2020
Volume30
Issue11
Pages3171-3178
Publication date2020-06-19
Open AccessYes
TypeARTICLE
VenueQuality of Life Research (JOURNAL)
Journal identifiersISSN: 0962-9343 • E-ISSN: 1573-2649
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s11136-020-02557-8
PMID32562194
OpenAlexW3036817903
LanguageEN
Citations received1
References cited25

Informatics solutions can generate timely, tailored office reports including PROs and predictive analytics. Patients successfully complete the pre-visit PRO assessments and clinicians and patients value the report to support shared surgical decisions

Analytics · Data mining · Decision support system · Informatics · Medical emergency · MEDLINE · Physical therapy · Public health · Clinical practice guidelines implementation · Computer Science · Medicine · Nursing · Osteoarthritis Treatment and Mechanisms · Total Knee Arthroplasty Outcomes · Health Informatics

  • One report, multiple aims

    Open Access•Danielle C Lavallee, Nan Rothrock et al.•Quality of Life Research•2022

  • Handbook of qualitative research

    Norman K Denzin, Yvonna S Lincoln•Handbook of qualitative research•1994

  • Grounded Theory Methodology

    Open Access•David L Rennie•Theory & Psychology•1998

  • Capturing the patient voice

    Open Access•Elizabeth Austin, Elizabeth J Austin et al.•Quality of Life Research•2019

  • Qualitative Data Analysis

    Open Access•Matthew B Miles, A Michael Huberman•Journal of Environmental Psychology•1994

Citations per year0.25
Citation span2022 - 2022 (1)
Highly citedNo

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Open DOIOpen Access
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