Literature DB >> 29039691

Inefficiency, dignity and patient experience: is it time for separate outpatient diagnostics?

Timothy Eanna Murray1, Jack J Halligan, Michael J Lee1,2.   

Abstract

There is international and national variation in the location of diagnostic imaging centres relative to hospitals. Diagnostic cross-sectional imaging has traditionally been performed within a hospital, catering for both inpatient and outpatients. The resulting two-tiered system caters for emergent and complex inpatients, in addition to typically ambulatory outpatients. These outpatients are less complex, and often attend an acute hospital for the specific purpose of diagnostic imaging. In both the UK and the Republic of Ireland, outpatient radiology is often provided on-campus in state-funded hospitals, reflecting the allocation of resources nationally. In many other countries, hospitals provide acute and high-level care, with community centres addressing outpatients' clinical and diagnostic needs. Mixing inpatients and outpatients introduces variability into the scanning process, and many institutions struggle to provide for the very different needs of outpatients. Current strategies of mixing these two fundamentally different groups should be reassessed, and either in-hospital segregation or dedicated outpatient diagnostic imaging centres merit serious consideration in any future healthcare planning.

Entities:  

Mesh:

Year:  2017        PMID: 29039691      PMCID: PMC6047649          DOI: 10.1259/bjr.20170574

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  2 in total

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Authors:  Jonathan B Kruskal; Allen Reedy; Laurie Pascal; Max P Rosen; Phillip M Boiselle
Journal:  Radiographics       Date:  2012-02-08       Impact factor: 5.333

Review 2.  Enhancing CT productivity: strategies for increasing capacity.

Authors:  Giles W L Boland
Journal:  AJR Am J Roentgenol       Date:  2008-07       Impact factor: 3.959

  2 in total
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1.  Learning to See: Using Mixed OR Methods to Model Radiology Staff Workload and Support Decision Making in CT.

Authors:  Mary Conlon; Owen Molloy
Journal:  SN Comput Sci       Date:  2022-07-05

Review 2.  Reviewing the relationship between machines and radiology: the application of artificial intelligence.

Authors:  Rani Ahmad
Journal:  Acta Radiol Open       Date:  2021-02-09
  2 in total

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