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Information Needs Assessment for a Medicine Ward-Focused Rounding Dashboard

  • Systems-Level Quality Improvement
  • Published:
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Abstract

To identify the routine information needs of inpatient clinicians on the general wards for the development of an electronic dashboard. Survey of internal medicine and subspecialty clinicians from March 2014–July 2014 at Saint Marys Hospital in Rochester, Minnesota. An information needs assessment was generated from all unique data elements extracted from all handoff and rounding tools used by clinicians in our ICUs and general wards. An electronic survey was distributed to 104 inpatient medical providers. 89 unique data elements were identified from currently utilized handoff and rounding instruments. All data elements were present in our multipurpose ICU-based dashboard. 42 of 104 (40 %) surveys were returned. Data elements important (50/89, 56 %) and unimportant (24/89, 27 %) for routine use were identified. No significant differences in data element ranking were observed between supervisory and nonsupervisory roles. The routine information needs of general ward clinicians are a subset of data elements used routinely by ICU clinicians. Our findings suggest an electronic dashboard could be adapted from the critical care setting to the general wards with minimal modification.

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Correspondence to Christopher A. Aakre.

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Conflict of Interest

AWARE is patent pending (US 2010/0,198,622, 12/697,861, PCT/US2010/022,750). Drs. Herasevich, and Pickering and Mayo Clinic have a financial conflict of interest relating to licensed technology described in this paper. This research has been reviewed by the Mayo Clinic Conflict of Interest Review Board and is being conducted in compliance with Mayo Clinic Conflict of Interest Policies.

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No external funding was used for this research.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

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Aakre, C.A., Chaudhry, R., Pickering, B.W. et al. Information Needs Assessment for a Medicine Ward-Focused Rounding Dashboard. J Med Syst 40, 183 (2016). https://doi.org/10.1007/s10916-016-0542-1

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