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Patient and Sample Identification. Out of the Maze?
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| Zeitschriftentitel: | Journal of Medical Biochemistry |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Journal of Medical Biochemistry, 36, 2017, 2, S. 107-112 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
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Centre for Evaluation in Education and Science (CEON/CEES)
|
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Lippi, Giuseppe Chiozza, Laura Mattiuzzi, Camilla Plebani, Mario Lippi, Giuseppe Chiozza, Laura Mattiuzzi, Camilla Plebani, Mario |
|---|---|
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Lippi, Giuseppe Chiozza, Laura Mattiuzzi, Camilla Plebani, Mario |
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Lippi, Giuseppe Chiozza, Laura Mattiuzzi, Camilla Plebani, Mario Journal of Medical Biochemistry Patient and Sample Identification. Out of the Maze? |
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lippi, giuseppe |
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Lippi, Giuseppe Chiozza, Laura Mattiuzzi, Camilla Plebani, Mario 1452-8266 Centre for Evaluation in Education and Science (CEON/CEES) http://dx.doi.org/10.1515/jomb-2017-0003 <jats:title>Summary</jats:title><jats:p>Background: Patient and sample misidentification may cause significant harm or discomfort to the patients, especially when incorrect data is used for performing specific healthcare activities. It is hence obvious that efficient and quality care can only start from accurate patient identification. There are many opportunities for misidentification in healthcare and laboratory medicine, including homonymy, incorrect patient registration, reliance on wrong patient data, mistakes in order entry, collection of biological specimens from wrong patients, inappropriate sample labeling and inaccurate entry or erroneous transmission of test results through the laboratory information system. Many ongoing efforts are made to prevent this important healthcare problem, entailing streamlined strategies for identifying patients throughout the healthcare industry by means of traditional and innovative identifiers, as well as using technologic tools that may enhance both the quality and efficiency of blood tubes labeling. The aim of this article is to provide an overview about the liability of identification errors in healthcare, thus providing a pragmatic approach for diverging the so-called patient identification crisis.</jats:p> Patient and Sample Identification. Out of the Maze? Journal of Medical Biochemistry |
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Patient and Sample Identification. Out of the Maze? |
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Patient and Sample Identification. Out of the Maze? |
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Patient and Sample Identification. Out of the Maze? |
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Patient and Sample Identification. Out of the Maze? |
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patient and sample identification. out of the maze? |
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http://dx.doi.org/10.1515/jomb-2017-0003 |
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2017 |
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107-112 |
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<jats:title>Summary</jats:title><jats:p>Background: Patient and sample misidentification may cause significant harm or discomfort to the patients, especially when incorrect data is used for performing specific healthcare activities. It is hence obvious that efficient and quality care can only start from accurate patient identification. There are many opportunities for misidentification in healthcare and laboratory medicine, including homonymy, incorrect patient registration, reliance on wrong patient data, mistakes in order entry, collection of biological specimens from wrong patients, inappropriate sample labeling and inaccurate entry or erroneous transmission of test results through the laboratory information system. Many ongoing efforts are made to prevent this important healthcare problem, entailing streamlined strategies for identifying patients throughout the healthcare industry by means of traditional and innovative identifiers, as well as using technologic tools that may enhance both the quality and efficiency of blood tubes labeling. The aim of this article is to provide an overview about the liability of identification errors in healthcare, thus providing a pragmatic approach for diverging the so-called patient identification crisis.</jats:p> |
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| description | <jats:title>Summary</jats:title><jats:p>Background: Patient and sample misidentification may cause significant harm or discomfort to the patients, especially when incorrect data is used for performing specific healthcare activities. It is hence obvious that efficient and quality care can only start from accurate patient identification. There are many opportunities for misidentification in healthcare and laboratory medicine, including homonymy, incorrect patient registration, reliance on wrong patient data, mistakes in order entry, collection of biological specimens from wrong patients, inappropriate sample labeling and inaccurate entry or erroneous transmission of test results through the laboratory information system. Many ongoing efforts are made to prevent this important healthcare problem, entailing streamlined strategies for identifying patients throughout the healthcare industry by means of traditional and innovative identifiers, as well as using technologic tools that may enhance both the quality and efficiency of blood tubes labeling. The aim of this article is to provide an overview about the liability of identification errors in healthcare, thus providing a pragmatic approach for diverging the so-called patient identification crisis.</jats:p> |
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| spelling | Lippi, Giuseppe Chiozza, Laura Mattiuzzi, Camilla Plebani, Mario 1452-8266 Centre for Evaluation in Education and Science (CEON/CEES) http://dx.doi.org/10.1515/jomb-2017-0003 <jats:title>Summary</jats:title><jats:p>Background: Patient and sample misidentification may cause significant harm or discomfort to the patients, especially when incorrect data is used for performing specific healthcare activities. It is hence obvious that efficient and quality care can only start from accurate patient identification. There are many opportunities for misidentification in healthcare and laboratory medicine, including homonymy, incorrect patient registration, reliance on wrong patient data, mistakes in order entry, collection of biological specimens from wrong patients, inappropriate sample labeling and inaccurate entry or erroneous transmission of test results through the laboratory information system. Many ongoing efforts are made to prevent this important healthcare problem, entailing streamlined strategies for identifying patients throughout the healthcare industry by means of traditional and innovative identifiers, as well as using technologic tools that may enhance both the quality and efficiency of blood tubes labeling. The aim of this article is to provide an overview about the liability of identification errors in healthcare, thus providing a pragmatic approach for diverging the so-called patient identification crisis.</jats:p> Patient and Sample Identification. Out of the Maze? Journal of Medical Biochemistry |
| spellingShingle | Lippi, Giuseppe, Chiozza, Laura, Mattiuzzi, Camilla, Plebani, Mario, Journal of Medical Biochemistry, Patient and Sample Identification. Out of the Maze? |
| title | Patient and Sample Identification. Out of the Maze? |
| title_full | Patient and Sample Identification. Out of the Maze? |
| title_fullStr | Patient and Sample Identification. Out of the Maze? |
| title_full_unstemmed | Patient and Sample Identification. Out of the Maze? |
| title_short | Patient and Sample Identification. Out of the Maze? |
| title_sort | patient and sample identification. out of the maze? |
| title_unstemmed | Patient and Sample Identification. Out of the Maze? |
| url | http://dx.doi.org/10.1515/jomb-2017-0003 |