Decision Analysis for the Assessment of a Record Linkage Procedure

Quantin, Catherine; Binquet, Christine; Allaert, F A; Cornet, B.; Pattisina, Ronny; Leteuff, G; Ferdynus, Cyril; Gouyon, Jean‐Bernard

doi:10.1055/s-0038-1633925

Cited by 21 publications

(9 citation statements)

References 16 publications

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“…The most frequent one corresponded to errors in spelling surnames and first names [6] leading to phonetic changes that were not subsequently corrected by the spelling processing included in the ANONYMAT software. The inversion of the married name, and the maiden name, during data collection was also a source of linkage failure, and was corrected through the validation procedure.…”

Section: Resultsmentioning

confidence: 99%

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Using Discharge Abstracts to Evaluate a Regional Perinatal Network: Assessment of the Linkage Procedure of Anonymous Data

Quantin

Ferdynus

Avillach

et al. 2009

International Journal of Telemedicine and Applications

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To assess the Burgundy perinatal network (18 obstetrical units; 18 500 births per year), discharge abstracts and additional data were collected for all mothers and newborns. In accordance with French law, data were rendered anonymous before statistical analysis, and were linked to patients using a specific procedure. This procedure allowed data concerning each mother to be linked to those for her newborn(s). This study showed that all mothers and newborns were included in the regional database; the data for all mothers were linked to those for their infant(s) in all cases. Additional data (gestational age) were obtained for 99.9% of newborns.

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Section: Resultsmentioning

confidence: 99%

“…Among the different treatments, SOUNDEX is most widely used. However, in the perinatal network, a treatment specifically adapted to the particularities of the French language was used [6]. …”

Section: Methodsmentioning

confidence: 99%

Using Discharge Abstracts to Evaluate a Regional Perinatal Network: Assessment of the Linkage Procedure of Anonymous Data

Quantin

Ferdynus

Avillach

et al. 2009

International Journal of Telemedicine and Applications

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“…losing some information by not being able to link information concerning the same patient) it is, most of the time, due to a typo, and it is important to understand that the problem remains even in local EMR. However, in the on-demand MRSE system, it is possible to reduce such errors by implementing tools using phonetic algorithms as described in a previous papers [11] or other robust transformations like in [12] or in [13]. To improve linkage quality, it is also possible to envisage that the MP sends not only one pseudonymous identifier per patient but a list of pseudonymous partial identifiers for each patient.…”

Section: Discussionmentioning

confidence: 99%

Medical record: systematic centralization versus secure on demand aggregation

Quantin

Jaquet-Chiffelle

Coatrieux

et al. 2011

BMC Med Inform Decis Mak

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BackgroundAs patients often see the data of their medical histories scattered among various medical records hosted in several health-care establishments, the purpose of our multidisciplinary study was to define a pragmatic and secure on-demand based system able to gather this information, with no risk of breaching confidentiality, and to relay it to a medical professional who asked for the information via a specific search engine.MethodsScattered data are often heterogeneous, which makes the task of gathering information very hard. Two methods can be compared: trying to solve the problem by standardizing and centralizing all the information about every patient in a single Medical Record system or trying to use the data "as is" and find a way to obtain the most complete and the most accurate information. Given the failure of the first approach, due to the lack of standardization or privacy and security problems, for example, we propose an alternative that relies on the current state of affairs: an on-demand system, using a specific search engine that is able to retrieve information from the different medical records of a single patient.ResultsWe describe the function of Medical Record Search Engines (MRSE), which are able to retrieve all the available information regarding a patient who has been hospitalized in different hospitals and to provide this information to health professionals upon request. MRSEs use pseudonymized patient identities and thus never have access to the patient's identity. However, though the system would be easy to implement as it by-passes many of the difficulties associated with a centralized architecture, the health professional would have to validate the information, i.e. read all of the information and create his own synthesis and possibly reject extra data, which could be a drawback. We thus propose various feasible improvements, based on the implementation of several tools in our on-demand based system.ConclusionsA system that gathers all of the currently available information regarding a patient on the request of health-care professionals could be of great interest. This low-cost pragmatic alternative to centralized medical records could be developed quickly and easily. It could also be designed to include extra features and should thus be considered by health authorities.

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“…Therefore, a method for approximate string matching in privacy-preserving record linkage is required. Originally, encoding identifiers phonetically before hashing them and using them with probabilistic record linkage procedures was suggested to achieve this [15,16]. In a seminal paper, Churches and Christen [11] recommended creating bigrams before hashing thereby allowing one to calculate bigram similarity scores between identifiers.…”

Section: Introductionmentioning

confidence: 99%

“…Such protocols are used for cancer registries [19,20] and information exchange between hospitals. In the proposal of [15,16] identifiers are transformed according to phonetic rules and subsequently encrypted with a one-way hash function. To prevent some cryptographic attacks on this protocol, the identifiers are combined with a common pad before hashing.…”

Section: Introductionmentioning

confidence: 99%

Privacy-preserving record linkage using Bloom filters

Schnell

Bachteler

Reiher

2009

BMC Med Inform Decis Mak

285

309

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BackgroundCombining multiple databases with disjunctive or additional information on the same person is occurring increasingly throughout research. If unique identification numbers for these individuals are not available, probabilistic record linkage is used for the identification of matching record pairs. In many applications, identifiers have to be encrypted due to privacy concerns.MethodsA new protocol for privacy-preserving record linkage with encrypted identifiers allowing for errors in identifiers has been developed. The protocol is based on Bloom filters on q-grams of identifiers.ResultsTests on simulated and actual databases yield linkage results comparable to non-encrypted identifiers and superior to results from phonetic encodings.ConclusionWe proposed a protocol for privacy-preserving record linkage with encrypted identifiers allowing for errors in identifiers. Since the protocol can be easily enhanced and has a low computational burden, the protocol might be useful for many applications requiring privacy-preserving record linkage.

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Decision Analysis for the Assessment of a Record Linkage Procedure

Abstract: This paper reveals that the time and money available to manage indecision as well as the purpose of the linkage are of paramount importance for choosing a linkage strategy.

Cited by 21 publications

References 16 publications

Using Discharge Abstracts to Evaluate a Regional Perinatal Network: Assessment of the Linkage Procedure of Anonymous Data

Using Discharge Abstracts to Evaluate a Regional Perinatal Network: Assessment of the Linkage Procedure of Anonymous Data

Medical record: systematic centralization versus secure on demand aggregation

Privacy-preserving record linkage using Bloom filters

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