Telematics and protocols of care in critical care environments.

The paper discusses the potential roles for protocols of care within critical care environments from the perspective of providing real-time support for their application. The discussion is based around a conceptual model of care in critical care environments. This model has been developed in the wider context of developing information technology systems to support clinical care in critical care environments. The conceptual model of care is a three layer model which demonstrates both the hierarchical and temporal aspects of the care delivered to patients. It is proposed that if the value of protocols of care is to be realised in critical care environments then they must be seamlessly integrated into the routine data management associated with the care of patients. In order to demonstrate this and to evaluate the utility of this concept in the clinical environment, the systems from the AIM TANIT (Telematics in Anaesthesia and Intensive Therapy) project have been used as prototype platforms. The application of the concepts developed are described in two critical care environments: the anaesthesia department and the intensive care unit. Problems in using protocols of care in intensive care units suggest that integrating these with a problem solving methodology to create an integrated care plan may be a more appropriate approach to patient management.

TANIT AIM project (A2036): Telematics for ANaesthesia and Intensive Therapy.

On-going work relating to the development of advanced telematics systems for Critical Care environments is described. This work is in part sponsored by the Commission of European Communities under the AIM TANIT project. Two example departments have been selected for piloting in the project: Intensive Care and Anaesthesia. The objective of this paper is to outline the complex issues that need to be addressed when developing such systems.

Information management systems for intensive care.

On-going work relating to the development of advanced information management systems for intensive care is described. The objective of this paper is to outline the complex issues that need to be addressed when developing such systems. This work is in part sponsored by the Commission of the European Communities under the AIM TANIT project, and an overview of its approach is given. Data protection, security and confidentiality aspects are emphasised, together with the need to balance data availability with the need for security.

INFORM: development of information management and decision support systems for High Dependency Environments.

The long-term aim in the INFORM Project is to develop, evaluate and implement a new generation of Information Systems for hospital High Dependency Environments (HDE-Intensive Care Units, Neonatal Units, Burns Units. Operating and Recovery Rooms, and other specialised areas). The distinguishing feature of the HDE is the very large amount of data that is collected through monitors and paper records about the state of critically ill patients; this has made the role of the staff a technical one in addition to a caring one. The INFORM System will integrate Decision Support with on-line, off-line and observed patient data and, in addition, will incorporate and integrate unit management features. In the Exploratory Phase of the Project, functional requirements have been set out. These are based on four components: conceptual model of the HDE; evaluation of existing HDE Information Systems; development of a novel software architecture using a Knowledge-Based Systems (KBS) methodology, and based on a critical review of KBS applied to the HDE: monitoring of appropriate leading-edge technological developments. The conceptual model has two components: a patient-related information model, and a department-related cost model. The patient-related model is identifying key and difficult areas of decision making. A key aspect of INFORM is integration of clinical Decision Support for these areas into the Information System through a layered software architecture. The lower layers are concerned with monitoring and alarming and the higher levels with patient assessment and therapy planning. The functionality and interconnection of these layers are being determined.

Effect of breathing pattern on gas mixing in a model with asymmetrical alveolar ducts.

A model of the pulmonary airways was used to study three single-breath indices of gas mixing, dead space (VD), slope of the alveolar plateau, and alveolar mixing inefficiency (AMI). In the model, discrete elements of airway volume were represented by nodes. Using a finite difference technique the differential equation for simultaneous convection and diffusion was solved for the nodal network. Conducting airways and respiratory bronchioles were modeled symmetrically, but alveolar ducts asymmetrically, permitting interaction between convection and diffusion. VD, alveolar slope, and AMI increased with increasing flow. Similar trends were seen with inspired volume, although slope decreased at high inspired volumes with constant flow. VD was affected most by inspiratory flow and AMI and alveolar slope by expiratory time. VD fell approximately exponentially with time of breath holding. Eight different breathing patterns were compared. They had a small effect on alveolar slope and AMI and a greater effect on VD. The model shows how series and parallel inhomogeneity occur together and interact in asymmetrical systems: the old argument as to which is the more important should be abandoned.