In this chapter, we introduce document image processing methods and their applications in the field of Medical (and Clinical) Science. Though the use of electronic health record systems are gradually spreading especially among big hospitals in Japan, and e-health environment will be thoroughly available in near future [1–3], a large amount of paper based medical records are still stocked in med...

Information and communication systems are now breeding grounds for electronic-evidence (e-evidence) in audits, investigations, or litigation. Increasingly organizations are being ordered by law or lawsuit to preserve, retrieve, and hand-over relevant electronic records (e-records) because "the courts are uniformly recognizing the discoverability of electronic communication and documents" [Nimsg...

In this paper, we describe our approach to extract salient events such as birth and death records from historical French parish documents that contain free-form handwritten text. The challenges posed by these documents to the current state of the art in handwriting recognition and information extraction go well beyond the generic challenges in recognizing handwritten text such as style variatio...

Although information redundancy has been reported as an important problem for clinicians when using electronic health records and clinical reports, measuring redundancy in clinical text has not been extensively investigated. We evaluated several automated techniques to quantify the redundancy in clinical documents using an expert-derived reference standard consisting of outpatient clinical docu...

The internal tobacco industry documents have also been used to study tobacco industry operations outside the United States. The scope of the documents on a country outside the US is decided mainly by the extent to which documents and reports were transmitted from the abroad offices of the US tobacco companies to headquarters. We explored whether the material from a private archive of a Finnish ...

Privacy compliance for free text documents is a challenge facing many organizations. Named entity recognition techniques and machine learning methods can be used to detect private information, such as personally identifiable information (PII) and personal health information (PHI) in free text documents. However, these methods cannot measure the level of privacy embodied in the documents. In thi...

Recently, collaborative discussions based on the participant generated documents, e.g., customer questionnaires, aviation reports and medical records, are required in various fields such as marketing, transport facilities and medical treatment, in order to share useful knowledge which is crucial to maintain various kind of securities, e.g., avoiding air-traffic accidents and malpractice. We int...

Clinical record integration and visualization is one of the most important abilities of modern health information systems (HIS). Its use on clinical encounters plays a relevant role in the efficacy and efficiency of healthcare. However, the amount of data currently being produced, stored and used in hospital settings is stressing information technology infrastructure; integrated HIS of central ...