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N C Salgado

Publications and source records attributed to N C Salgado.

7 recordsLinked to original sources

Towards a common framework for clinical trials information systems.

This work describes the strategies for data modeling and implementation and the general architecture of COATI, a Clinical Trials information system that has been in production for more than three years. We discuss how the ICH guidelines influenced the system design, how we used conventional relational and EAV tables and how we integrated third-party software packages into our system. We describe a new architecture that forms the basis of a common framework for Clinical Trials information systems. This structure is based on the concept of a Common Information Framework (CIF). We have defined standard objects and corresponding methods for the CIF as an essential step towards the development of Clinical Trials Informatics.

Clinical Trials as Topic↗

A database system for integrated clinical trial management, control, statistical analysis and ICH-compliant reporting.

Clinical trial management and quality assurance is a complex activity that, when manually executed, is prone to errors and delays, and organizations involved in the conduct of clinical drug trials must rely on database systems to ensure adequate data integrity and timely reporting. We report the design and implementation of an integrated computer system for the management and control of multiple phase II to IV clinical drug trials, and for automated generation of monitoring and statistical analysis reports that are fully compliant with international guidelines. This Windows-based system incorporates a number of third-party software tools and applications, and its major components are COATI (Control, Assessment and Tracking of Therapeutic Investigations), a client-server database application; DART (Data Analysis and Reporting Tool) for automated data abstraction and reporting; and PANDA (Data Analysis Package) for automated statistical analysis. The system is in production for two years and was used in 15 clinical trials in a diversity of medical conditions and study designs.

Clinical Trials as Topic↗

A unified approach to the design of clinical reporting systems.

Computer-based Clinical Reporting Systems (CRS) for diagnostic departments that use structured data entry have a number of functional and structural affinities suggesting that a common software architecture for CRS may be defined. Such an architecture should allow easy expandability and reusability of a CRS. We report the development methodology and the architecture of SISCOPE, a CRS originally designed for gastrointestinal endoscopy that is expandable and reusable. Its main components are a patient database, a knowledge base, a reports base, and screen and reporting engines. The knowledge base contains the description of the controlled vocabulary and all the information necessary to control the menu system, and is easily accessed and modified with a conventional text editor. The structure of the controlled vocabulary is formally presented as an entity-relationship diagram. The screen engine drives a dynamic user interface and the reporting engine automatically creates a medical report; both engines operate by following a set of rules and the information contained in the knowledge base. Clinical experience has shown this architecture to be highly flexible and to allow frequent modifications of both the vocabulary and the menu system. This structure provided increased collaboration among development teams, insulating the domain expert from the details of the database, and enabling him to modify the system as necessary and to test the changes immediately. The system has also been reused in several different domains.

Artificial Intelligence↗

Modification of the OMED nomenclature: a system approach based on the SISCOPE data model.

The OMED nomenclature represented a turning point in endoscopic computer systems by supplying software developers with an internationally recognized scientific document on which prototypes could be based. The main pitfalls of the OMED system are related to its hierarchical structure, probably not the most effective design to represent endoscopic findings. Based on our experience during the development of SISCOPE, an integrated data management system for endoscopy, an alternative scheme is proposed: Endoscopic descriptions are modeled as a set of objects represented by a data structure whose elements are location, morphology, associated lesions and hemorrhage. 72 objects appear to be sufficient for an accurate representation of all endoscopic scenes and a consistent data model could be created with this approach. Efforts should be made to decrease redundancy in the OMED nomenclature, but extension to other endoscopic data types, such as clinical and pathological diagnosis, is more urgently required. Furthermore, if data exchange between systems is desired, the definition of an Endoscopy Metafile is an absolute requirement.

Database Management Systems↗

SISCOPE: a multiuser information system for gastrointestinal endoscopy.

SISCOPE is an integrated data management system for use in gastrointestinal endoscopy units which operates in the multiuser mode on UNIX minicomputers or MS-DOS personal computers and can be used for patient bookings, endoscopic data entry and retrieval, and automatic report generation in upper gastrointestinal endoscopy, proctologic examinations, colonoscopy and peritoneoscopy. The description of endoscopic findings is remarkably detailed and data entry very rapid due to an advanced design of input screens that incorporates several recent concepts, including windows, menu bars and pull-down menus; typing is eliminated as data is entered with a mouse by pointing at options within menus. Endoscopic findings can be described under eight headings: morphology, topography, qualifiers, modifiers, signs of bleeding, endoscopic diagnosis, pathological diagnosis and etiology. Terminology is based strictly 3on the OMED system. SISCOPE also allows recording of details on endoscopic procedures, indications for the examination, preparation, premedication, complications and late entry of pathology reports. After entering all data, a report in natural language is produced automatically, the entire process taking one minute on average. Data retrieval programs give on-line access to previous examinations of a given patient and automatically generate activity reports. A formal language allows direct queries to the database and transfer of data for statistical analysis or other data processing. The system is simple to learn and use because operation is intuitive and all endoscopic techniques share the same basic menu structure and screen design.

Computer Systems↗

Longitudinal comparative study on the influence of computers on reporting of clinical data.

The impact of the clinical database system SISCOPE on medical services was evaluated and objective data compiled on the quality of information recording and reporting using a fully structured data entry system compared to traditional free text reporting. 1565 upper endoscopy reports produced with SISCOPE over a period of 12 months were assessed for completeness and compared to 152 and 208 free text reports done 4 months before and 1 month after the study period, respectively. Data on four common gastrointestinal findings (esophageal varices, ulcers, polyps and tumors) were evaluated. Physicians' compliance with the new system was good, as reflected by a constant level of quality of reporting over time, although a very slight decline in the ratio of computer generated reports to the total number of examinations was noted. Structured reports had an 18% missing data rate and contained 60% more relevant information than free text reports, which had a 48% missing data rate. No educational effect of the system was seen as missing data rates returned to pre-computerization levels just one month after the end of the study. It is concluded that menu-driven structured data entry systems result in production of far superior reports as compared to free text systems, probably due to their reminder effect.

Endoscopy, Digestive System↗

[Structuring a clinical information system for hospital services: BASELINE].

Clinical database systems have been in use since 1972, but they still fail to meet most of the requirements they were aimed at. This includes not only the management of administrative tasks, but particularly the support of medical activities. Our study presents an experimental model of a clinical database system for general hospitals, mainly dedicated to the support of some basic, fundamental clinical activities, namely the management of baseline patient data. This model is based on a modular concept, and its core is represented by a Minimal Data Base Set designed to meet the specific requirements of each Department and of each distinct area within a Department. The system does not interfere with routine clinical work and tries to offer a high level of services to users. A number of utilitary programs simplify user interaction with the system, such as a menu-driven data-entry program, a semi-automatic codification program that follows the OMS/ICD-9-CM coding system, and a menu-driven program for data retrieval. Basically, this system can be helpful for the automatic edition of clinical reports and the retrieval of patient records meeting conditions specified by the clinician.

Hospital Information Systems↗