patient data
Patient data and patient rights: Swiss healthcare stakeholders’ ethical awareness regarding large patient data sets – a qualitative study
... CRG data sharing and the dissemination of this information increase the social value of ...of data because of data cemeteries and low cost-utility ...of data were dependent on the political ...
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Evaluation of patient involvement in a systematic review and meta-analysis of individual patient data in cervical cancer treatment
... individual patient data (IPD) from all relevant, eligible randomized controlled trials (RCTs) ...of patient involvement in future systematic reviews conducted by our group and ...
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Treatment of renal angiomyolipoma: pooled analysis of individual patient data
... Individual patient data were obtained from the authors of two studies [17, 18] and from the Oulu University Hospital (7 ...analysis. Patient characteristics and their outcomes are summarised in Table ...
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Curvelet-based ECG steganography for protection of patient data
... 3.4 Curvelet: Curvelet transform is to remove the limitations or drawbacks of wavelet transform and watermarking techniques. The curvelet transform uses multi scale frequency and time local portion also make use of the ...
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Individual patient data meta-analysis of survival data using Poisson regression models
... time-to-event data can use either a two-stage or one-stage ...meta-analysis, patient data from all studies are analysed simultaneously within a hierarchical frame- ...
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An ethical framework for sharing patient data without consent
... Risk of a privacy breach is probably the best way to determine how much effort should go into protecting shared data. The situation in banking is analogous: since the Basel Accord of 1988 large banks have wanted to ...
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Implementation of requirements engineering method on handling patient data
... A HIS is an integrated and comprehensive information system designed to handle the financial, clinical and administrative aspects o f a hospital (Ismail et al., 2010). The aim o f HIS as a medical informatics area is to ...
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Predicting carer health effects using patient data
... Our particular focus in this study is on the health status data. For both family members and patients, health status was measured using the EQ-5D-5L [53]. This is a preference-based generic measure of health ...
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Haptoglobin genotype and aneurysmal subarachnoid hemorrhageIndividual patient data analysis
... measures and ignores initial prognostic risk of patients. 18 – 21 Hence, 2 alternative approaches were used as part of a sensi- tivity analysis for the primary outcome. First, in the sliding dichotomy method, the cutoff ...
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Evolving Efficient Clustering Patterns in Liver Patient Data through Data Mining Techniques
... ability to deal with noise and outliers, interpretability and usability. With clustering, time complexity increases with large number of dimensions and large set of data objects. Also the effectiveness depends ...
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Reviewing the integration of patient data: how systems are evolving in practice to meet patient needs
... possible data has a predefined message template, both semantic and syntax is known; generic ...of data repository (File System, Database, PACS – Picture Archiving and Communication System, LDAP – ...
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Community pharmacy: an untapped patient data resource
... more patient centered, they will be increasingly reliant on access to good quality patient ...held patient medication record, which is the central information repository and has been used to identify ...
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Safeguards Needed in Transfer of Patient Data
... the privacy of the patient is further protected, be- cause the storage and transfer of patient information must meet security and confidentiality requirements specified by state and fede[r] ...
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Particularities of data mining in medicine: lessons learned from patient medical time series data analysis
... of data are generated in the medical ...of data mining techniques to data, mainly time series, gathered from medical examinations of ...applying data mining techniques to real medical ...
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The future of health : integrating medical health information systems and home health monitoring data into predictive health systems : [submitted in partial fulfilment of the requirements for the degree of Master of Engineering]
... Therefore, capturing patient data in a centralised environment, gives the doctors access to upto-date patient data, giving them more control and more information to better diagnose a use[r] ...
134
Blockchain for Healthcare: Privacy Preserving Medical Record
... is patient, the patient first have to do the registration of his personal ...normal patient, pre-diabetic patient or diabetic ...like patient and by his login id and password he can get ...
5
Ribbing disease: a systematic review
... We performed a systematic review on individual patient data of patients diagnosed with Ribbings Disease (i.e. Multiple Diaphyseal Sclerosis) derived from patient reports and patient series. ...
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Automated OPD Card System Using RFID & Databases
... better patient-doctor management ...of patient are more, better data and patient management is ...the patient-doctor ...the data can be synced at one place and it can be ...
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Securing Remote Medical Sensor Data by Adapting Paillier Cryptosystem Mechanism
... remote patient monitoring and in hospitals using wireless sensor ...modification, data breach etc which is a potential threat to patient sensitive physiological ...sensitive patient ...
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Protecting patient privacy when sharing patient-level data from clinical trials
... which data holders quantify risk of patient re- identification through the use of data sources and data linkage techniques that are available now, or those that may become available in the ...
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