Technology status evaluation report: computerized endoscopic medical record systems: November 1999

Endoscopic electronic record: A new approach for improving management of colorectal cancer prevention

Digestive endoscopy is currently the main diagnostic procedure for investigation of the digestive tract when a digestive disease is suspected. The use of computers and electronic medical records for the management of endoscopic data are an important key to improving endoscopy unit efficiency and productivity. This technology supports optimal program operation, monitoring and evaluation colorectal cancer screening. This article is a comprehensive survey of endoscopic electronic medical records and information systems. Computerized clinical records have the capability of identifying patients due for screening and to calculate baseline rates of colorectal cancer screening by patient characteristics and by primary care physician and practice group. This paper describes data flow in the endoscopy unit, the minimum data set of colorectal cancer and key features of endoscopic electronic medical record. In addition, the researchers state standards in different aspects, especially terminology standards and interoperability standards for image and text.

Complication rates of colonic polypectomy in relation to polyp characteristics and techniques: a district hospital experience

BACKGROUND: Colonic polypectomy reduces the subsequent rate of development of colonic cancer but is not without its risks. We aimed to examine our complication rates in relation to the characteristics of polyps and techniques employed. METHODS: A database for all colonic polypectomies performed over a 3½-year period between 2006 and 2009 was matched against all patients readmitted after an endoscopy. Serious complications post-polypectomy were defined as events leading to readmission within 14 days. RESULTS: We performed 2106 polypectomies on 1252 patients in this period. Fourteen patients or 24 (1.1%) polypectomies experienced complications. Two patients (0.09%) experienced perforation, 10 (0.47%) had bleeding and 3 (0.14%) had post-polypectomy syndromes. Our bleeding rate was 1:211, lower than the national standard of 1:100. No deaths were reported. Complication rates rose from 1% in the smallest group (1-10 mm) to 4.9% in the largest (>31 mm) but the difference was not statistically significant (p=0.067). Right-colon polypectomies had a higher tendency of developing post-polypectomy syndrome and bleeding (p=0.002). Complication rates in snare polypectomies were not significantly different from that of hot biopsies (p=0.64). However, endoscopic mucosal resections (EMR) had significantly more complications compared to snares (p=0.045) and hot biopsies (p=0.026). CONCLUSION: We achieved lower bleeding rates than that published nationally. Hot biopsies did not carry a higher risk unlike EMRs. Although polyp size may be an important risk factor, statistical significance was not met. Ascending and transverse colon polypectomies carried the highest risks of complications.

A primer on endoscopic electronic medical records

Endoscopic electronic medical record systems (EEMRs) are now increasingly utilized in many endoscopy centers. Modern EEMRs not only support endoscopy report generation, but often include features such as practice management tools, image and video clip management, inventory management, e-faxes to referring physicians, and database support to measure quality and patient outcomes. There are many existing software vendors offering EEMRs, and choosing a software vendor can be time consuming and confusing. The goal of this article is inform the readers about current functionalities available in modern EEMR and provide them with a framework necessary to find an EEMR that is best fit for their practice.

Enterprise imaging and multi-departmental PACS

The aim of this review is to present the status of digital image acquisition and archiving outside of radiology and to describe the technical concepts and possibilities of how a "radiology" Picture Archiving and Communication System (PACS) can become a multi-departmental (MD-)PACS. First the principles of system integration technology are explained and illustrated by the description of a typical radiology system integration. Then four types of modality integration approaches are defined: the direct modality integration (Type-I), the integration via DICOM acquisition software (Type-II) the integration via specialised systems either with (Type-III) or without PACS connection (Type-IV). The last section is dedicated to the presentation of the PACS requirements of selected interdisciplinary modality types [Endoscopy, Ultrasound and Electrocardiography (ECG)] and clinical disciplines (Pathology, Dermatology, Ophthalmology and Cardiology), which are then compared with the technical possibilities of a MD-PACS.

Possible features of current electronic endoscopic information systems: what to look for

The endoscopic electronic medical record (EEMR) has the potential to increase greatly the efficiency of both the endoscopist and the entire endoscopy unit. Potential efficiencies depend on the specific situation of the endoscopist and the type of endoscopy unit. This article describes a number of features available in current EEMRs as well as some emerging features that are important for future databases. Additionally, some aspects of equipment and staff needed to implement a successful EEMR are discussed.

Computer-assisted diagnosis system in digestive endoscopy

The purpose of this paper is to present an intelligent atlas of indexed endoscopic lesions that could be used in computer-assisted diagnosis as reference data. The development of such a system requires a mix of medical and engineering skills for analyzing and reproducing the cognitive processes that underlie the medical decision-making process. The analysis of both endoscopists experience and endoscopic terminologies developed by professional associations shows that diagnostic reasoning in digestive endoscopy uses a scene-object approach. The objects correspond to the endoscopic findings and the medical context of examination and the scene to the endoscopic diagnosis. According to expert assessment, the classes of endoscopic findings and diagnoses, their primitive characteristics (or indices), and their relationships have been listed. Each class describes an endoscopic finding or diagnosis in an intensive way. The retrieval method is based on a similarity metric that estimates the membership value of the case under investigation and the prototype of the class. A simulation test with randomized objects demonstrates a good classification of endoscopic findings. The correct class is the unique response in 68% of the tested objects, the first of multiple responses in 28%. Four descriptors are shown to be of major importance in the classification algorithm: anatomic location, shape, color, and relief. At the present time, the application database contains approximately 150 endoscopic images and is accessible via Internet. Experiments are in progress with endoscopists for the validation of the system and for the understanding of the similarity between images. The next step will integrate the system in a learning tool for junior endoscopists.

Endoscopic data acquisition and storage

Recent developments in the field of digital image acquisition and storage provide new opportunities for recording endoscopic procedures for use in the medical record and remote access for education and consultation. This article reviews the recent literature in the field of endoscopy.