Developing privacy solutions for sharing and analysing healthcare data

Motiwalla, Luvai; Li, Xiaobai

doi:10.1504/ijbis.2013.054335

Cited by 15 publications

(8 citation statements)

References 28 publications

(28 reference statements)

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“…However, such a score provides only an ordinal indicator (rather than continuous) which might prevent certain analyses being used. An interval score could be calculated using data where dates have been perturbed or aggregated to protect confidentiality (29) whereas the others require accurate GP contact dates This analysis is not intended to critique previous works assessing regular GP contacts, some of which derive from our research group; the methods reported previously have been changed substantially here to contrive comparisons between approaches. This work simply represents the first attempt at comparing possible measures of this concept.…”

Section: Discussionmentioning

confidence: 99%

Regularity of contact with GPs: Measurement approaches to improve valid associations with hospitalization

et al. 2019

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Background Studies examine longitudinal continuity of GP contact though few consider ‘regularity of GP contact’, i.e., the dispersion of contacts over time. Increased regularity may indicate planned ongoing care. Current measures of regularity may be correlated with the number of contacts and may not isolate the phenomenon of interest. Objectives To compare two published and one newly developed regularity index in terms of their ability to measure regularity of GP contacts independently of the number of contacts and the impact on their association with hospitalization. Methods A cohort at risk of diabetes-related hospitalization in Western Australia from 1990 to 2004 was identified using linked administrative data. For each regularity index, relationships with number of GP contacts were assessed. Hospitalization was then regressed on each index with and without number of contacts as a covariate. Results Among 153,414 patients the new regularity index showed a reduced association with number of contacts compared with existing indices. Associations with hospitalization differed between measures; for previously published indices, there were no significant associations between regularity and hospitalization, whereas on the new index, most regular GP contact was associated with reduced hospitalization (IRR = 0.90, 95% CI = 0.88–0.93). When number of contacts was added as a covariate, point estimates for this index showed little change, whereas for existing measures this addition changed point estimates. Conclusion A new measure of regularity of GP contact was less correlated with the number of contacts than previously published measures and better suited to estimating unconfounded relationships of regularity with hospitalization.

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Section: Discussionmentioning

confidence: 99%

Regularity of contact with GPs: Measurement approaches to improve valid associations with hospitalization

et al. 2019

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“…An Bord Altranais (2002) guidelines state that confidential patient records must be safeguarded. While focus has recently shifted to securely managing patient details in electronic media, including smart phones, most healthcare records in Ireland and worldwide remain paper based (Motiwalla and Li, 2013; Silva et al , 2013; Graves, 2013). Information on paper-based data protection in the medical literature is sparse.…”

Section: Introductionmentioning

confidence: 99%

Cleaning up the paper trail – our clinical notes in open view

Lambe

Linnane

Callanan

et al. 2018

IJHCQA

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Purpose Ireland's physicians have a legal and an ethical duty to protect confidential patient information. Most healthcare records in Ireland remain paper based, so the purpose of this paper is to: assess the protection afforded to paper records; log highest risk records; note the variations that occurred during the working week; and observe the varying protection that occurred when staff, students and public members were present. Design/methodology/approach A customised audit tool was created using Sphinx software. Data were collected for three months. All wards included in the study were visited once during four discrete time periods across the working week. The medical records trolley's location was noted and total unattended medical records, total unattended nursing records, total unattended patient lists and when nursing personnel, medical students, public and a ward secretary were visibly present were recorded. Findings During 84 occasions when the authors visited wards, unattended medical records were identified on 33 per cent of occasions, 49 per cent were found during weekend visiting hours and just 4 per cent were found during morning rounds. The unattended medical records belonged to patients admitted to a medical specialty in 73 per cent of cases and a surgical specialty in 27 per cent. Medical records were found unattended in the nurses' station with much greater frequency when the ward secretary was off duty. Unattended nursing records were identified on 67 per cent of occasions the authors visited the ward and were most commonly found unattended in groups of six or more. Practical implications This study is a timely reminder that confidential patient information is at risk from inappropriate disclosure in the hospital. There are few context-specific standards for data protection to guide healthcare professionals, particularly paper records. Nursing records are left unattended with twice the frequency of medical records and are found unattended in greater numbers than medical records. Protection is strongest when ward secretaries are on duty. Over-reliance on vigilant ward secretaries could represent a threat to confidential patient information. Originality/value While other studies identified data protection as an issue, this study assesses how data security varies inside and outside conventional working hours. It provides a rationale and an impetus for specific changes across the whole working week. By identifying the on-duty ward secretary's favourable effect on medical record security, it highlights the need for alternative arrangements when the ward secretary is off duty. Data were collected prospectively in real time, giving a more accurate healthcare record security snapshot in each data collection point.

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“…Company characteristics also have an influence on how issues are experienced (e.g. Motiwalla and Li, 2013). In general, the lack of delegation of responsibilities for maintaining master data, and lack of routines are identified amongst the aspects that have the greatest impact on master data quality (Haug and Arlbjørn, 2011).…”

Section: Literature Reviewmentioning

confidence: 99%

Data quality assessment and improvement

Silvola

Härkönen

Vilppola

et al. 2016

IJBIS

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Data quality has significance to companies, but is an issue that can be challenging to approach and operationalise. This study focuses on data quality from the perspective of operationalisation by analysing the practices of a company that is a world leader in its business. A model is proposed for managing data quality to enable evaluation and operationalisation. The results indicate that data quality is best ensured when organisation specific aspects are taken into account. The model acknowledges the needs of different data domains, particularly those that have master data characteristics. The proposed model can provide a starting point for operationalising data quality assessment and improvement. The consequent appreciation of data quality improves data maintenance processes, IT solutions, data quality and relevant expertise, all of which form the basis for handling the origins of products.

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Developing privacy solutions for sharing and analysing healthcare data

Cited by 15 publications

References 28 publications

Regularity of contact with GPs: Measurement approaches to improve valid associations with hospitalization

Regularity of contact with GPs: Measurement approaches to improve valid associations with hospitalization

Cleaning up the paper trail – our clinical notes in open view

Data quality assessment and improvement

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