Literature DB >> 23224607

Efficiency and effectiveness of an innovative RIS function for patient information reconciliation directly integrated with PACS.

Andrea Nitrosi1, Marco Bertolini, Pietro Notari, Andrea Botti, Vladimiro Ginocchi, Giulio Tondelli, Mauro Iori, Pierpaolo Pattacini.   

Abstract

In RIS-PACS systems, potential errors occurring during the execution of a radiologic examination can amplify the clinical risks of the patient during subsequent treatments, e.g., of oncologic patients or of those who must do additional treatments based on the initial diagnosis. In Reggio Emilia Province Diagnostic Imaging Department (REDID) we experienced different strategies to reduce clinical risks due to patient reconciliation errors. In 2010, we developed a procedure directly integrated in our RIS-PACS that uses Health Level 7 (HL7) standard messaging, which generates an overlay with the text "under investigation" on the images of the study to be corrected. All the healthcare staff is informed of the meaning of that overlay, and only the radiologist and the emergency services staff can consult these images on PACS. The elimination of image overlay and of any access limitation to PACS was triggered to confirm of the right correction made by RIS-PACS system administrator (SA). The RIS-PACS integrated tool described in this paper allows technologists and radiologists to efficiently highlight patient exam errors and to inform all the users to minimize the overall clinical risks, with a significant savings in costs. Over the years, we have observed a steady decrease in the percentage of reconciled studies. Error reconciliation requires an effective and efficient mechanism. The RIS-PACS integrated tool described in this paper enables technologists and radiologists to quickly and efficiently highlight patient exam errors and inform all the users. Next generation of RIS-PACS could be equipped with similar reconciliation tools.

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Mesh:

Year:  2013        PMID: 23224607      PMCID: PMC3649044          DOI: 10.1007/s10278-012-9558-3

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  6 in total

1.  Medical imaging data reconciliation, part 3: reconciliation of historical and current radiology report data.

Authors:  Bruce I Reiner
Journal:  J Am Coll Radiol       Date:  2011-11       Impact factor: 5.532

Review 2.  Medical imaging data reconciliation, part 2: clinical order entry and imaging report data reconciliation.

Authors:  Bruce I Reiner
Journal:  J Am Coll Radiol       Date:  2011-10       Impact factor: 5.532

3.  Clinical Risk Management in radiology. Part II: applied examples and concluding remarks.

Authors:  M Centonze; D Visconti; S Doratiotto; R Silverio; A Fileni; L Pescarini; R Golfieri
Journal:  Radiol Med       Date:  2010-09-17       Impact factor: 3.469

4.  Medical imaging data reconciliation, part 1: innovation opportunity.

Authors:  Bruce I Reiner
Journal:  J Am Coll Radiol       Date:  2011-09       Impact factor: 5.532

5.  Patient exam data reconciliation tool.

Authors:  Gloria Lobo-Stratton; Tyran Mercer; Raimund Polman
Journal:  J Digit Imaging       Date:  2006       Impact factor: 4.056

6.  Clinical Risk Management in radiology. Part I: general background and types of error and their prevention.

Authors:  R Golfieri; L Pescarini; A Fileni; R Silverio; C Saccavini; D Visconti; G Morana; M Centonze
Journal:  Radiol Med       Date:  2010-09-17       Impact factor: 3.469

  6 in total
  3 in total

1.  RIS-PACS, patient safety, and clinical risk management.

Authors:  Andrea Nitrosi; Marco Bertolini; Roberto Sghedoni; Pietro Notari; Pierpaolo Pattacini; Andrea Corazza; Mauro Iori
Journal:  Radiol Med       Date:  2014-12-16       Impact factor: 3.469

2.  Patient dose management solution directly integrated in the RIS: "Gray Detector" software.

Authors:  A Nitrosi; A Corazza; M Bertolini; R Sghedoni; P Pattacini; M Iori
Journal:  J Digit Imaging       Date:  2014-12       Impact factor: 4.056

3.  The efficiency and effectiveness of surgery information systems in Iran.

Authors:  Faezeh Abbasi; Reza Khajouei; Moghaddameh Mirzaee
Journal:  BMC Med Inform Decis Mak       Date:  2020-09-16       Impact factor: 2.796

  3 in total

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