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The future of knowledge-based components in the electronic health record.

Traditional monolithic healthcare information systems (HIS) no longer meet the requirements of today's distributed enterprises and the rapidly changing healthcare environment. The ability of applications to communicate, interpret, and act intelligently upon complex healthcare information has assumed paramount importance. The future lies in the development of flexible component-based architectures that can operate seamlessly within the workflow of a healthcare environment. A key design goal is "graceful degradation," i.e., providing the best decision support possible within the context of available patient data. The First DataBank Drug Toolkit is used as a case study. Several technical challenges associated with building truly plug and play components are discussed.

Artificial Intelligence↗

Add genetics to your knowledge base.

Genetics information will change how we think about our health, lead our lives, and treat many illnesses. For clinicians to initiate new treatments, we must have a clear, unified understanding of genetics and the ability to educate our patients.

Genetics, Medical↗

A knowledge-based patient assessment system: conceptual and technical design.

This paper describes the design of an inpatient patient assessment application that captures nursing assessment data using a wireless laptop computer. The primary aim of this system is to capture structured information for facilitating decision support and quality monitoring. The system also aims to improve efficiency of recording patient assessments, reduce costs, and improve discharge planning and early identification of patient learning needs. Object-oriented methods were used to elicit functional requirements and to model the proposed system. A tools-based development approach is being used to facilitate rapid development and easy modification of assessment items and rules for decision support. Criteria for evaluation include perceived utility by clinician users, validity of decision support rules, time spent recording assessments, and perceived utility of aggregate reports for quality monitoring.

Artificial Intelligence↗

Modelling dependencies between relations to ensure consistency of a cerebral cortex anatomy knowledge base.

A symbolic model of anatomy that could be used in various contexts is a key feature. However, explicitly representing anatomy requires managing many specialisation, part-whole and topological relationships. Furthermore, we notice dependencies between some of them. These dependencies have to be taken into account in order to insure both intrinsic and incremental consistency of the model. Our approach is composed of three steps. First, we define the relationships between anatomical concepts by relationships between the space region they take up or the portion of matter they are made of. Second, we use these definitions and properties of spatial and matter relationships to infer dependencies between anatomical relationships. Eventually, we apply these dependencies to the set of independent anatomical relationships to automatically generate all the dependent relationships. This method was used to maintain an anatomical model of the frontal, temporal, parietal and occipital regions of the cerebral cortex. For 113 concepts, 221 of the 370 relationships could be automatically generated. The more the number of concepts increase, the more pertinent the method appears.

Artificial Intelligence↗

Problems and solutions with integrating terminologies into evolving knowledge bases.

We have merged two established anatomical terminologies with an evolving ontology of biological structure: the Foundational Model of Anatomy. We describe the problems we have encountered and the solutions we have developed. We believe that both the problems and solutions generalize to the integration of any legacy terminology with a disciplined ontology within the same domain.

Anatomy↗

Knowledge-based changes to health systems: the Thai experience in policy development.

Over the past two decades the government in Thailand has adopted an incremental approach to extending health-care coverage to the population. It first offered coverage to government employees and their dependents, and then introduced a scheme under which low-income people were exempt from charges for health care. This scheme was later extended to include elderly people, children younger than 12 years of age and disabled people. A voluntary public insurance scheme was implemented to cover those who could afford to pay for their own care. Private sector employees were covered by the Social Health Insurance scheme, which was implemented in 1991. Despite these efforts, 30% of the population remained uninsured in 2001. In October of that year, the new government decided to embark on a programme to provide universal health-care coverage. This paper describes how research into health systems and health policy contributed to the move towards universal coverage. Data on health systems financing and functioning had been gathered before and after the founding of the Health Systems Research Institute in early 1990. In 1991, a contract capitation model had been used to launch the Social Health Insurance scheme. The advantages of using a capitation model are that it contains costs and provides an acceptable quality of service as opposed to the cost escalation and inefficiency that occur under fee-for-service reimbursement models, such as the one used to provide medical benefits to civil servants. An analysis of the implementation of universal coverage found that politics moved universal coverage onto the policy agenda during the general election campaign in January 2001. The capacity for research on health systems and policy to generate evidence guided the development of the policy and the design of the system at a later stage. Because the reformists who sought to bring about universal coverage (who were mostly civil servants in the Ministry of Public Health and members of nongovernmental organizations) were able to bridge the gap between researchers and politicians, an evidence-based political decision was made. Additionally, the media played a part in shaping the societal consensus on universal coverage.

Cost Control↗

The Oxford clinical intranet: providing clinicians with access to patient records and multiple knowledge bases with internet technology.

The Oxford Clinical Intranet provides clinicians in primary and secondary care across Oxfordshire with: Access to information about their patients held on multiple remote disparate computer systems, including admissions and episodes, Laboratory Medicine reports, Radiology reports and hospital discharge letters. The patient records are managed using CSW Case Notes. Access to support and advisory information, developed both within the organization and collected from other sites and projects, a wide range of internal handbooks, directories and guidelines and links to external resources, including evidence-based resources, the Cochrane Collaboration and the NHS National electronic Library of Health. Automated retrieval and presentation of the support information that is contextually appropriate to the task being carried out by the clinician and the information held about the patient. For example laboratory reports are linked to handbooks and other reference sources using eLABook, a web-interfaced database subsystem. Internet technology has been used throughout, thus providing a thin-client architecture with cross-platform ability. Appropriate data standards have been used across the communicating systems and the intranet is compliant with the UK eGovernment Interoperability Framework. The intranet was developed at low cost and is now in routine use. This approach appears to be transferable across systems and organisations.

England↗

Linking human anatomy to knowledge bases: a visual front end for electronic medical records.

A new concept of a visual electronic medical record is presented based on developments ongoing in the Defense Advanced Research Projects Agency Virtual Soldier Project. This new concept is based on the holographic medical electronic representation (Holomer) and on data formats being developed to support this. The Holomer is being developed in two different visualization environments, one of which is suitable for prototyping the visual electronic medical record. The advantages of a visual approach as a front end for electronic medical records are discussed and specific implementations are presented.

Humans↗

The structural basis of the poor fibrin specificity of urokinase(I)--knowledge-based prediction of kringle structures of urokinase and its related proteins.

The Kringle-1 structure of plasminogen (PGK-1), the Kringle-2 structure of tissue plasminogen activator (PAK-2) and the Kringle structure of prourokinase (UKK) has been modeled on the basis of the three-dimensional structure of Kringle-1 of prothrombin (PTK-1) at 2.8 A resolution. The predicted three-dimensional structure of these Kringles shows that the binding site of PGK-1 is characterized by an apparent dipolar site, the polar parts of which are separated by a hydrophobic region. PAK-2 possesses the anionic center but has not a cationic binding center which might be provided by a guanidinium group from Arg-69 located adjacent to the Arg-71 position. UKK possesses neither the anionic binding center nor the cationic center which are probably the main reason for the poor fibrin specificity of urokinase.

Amino Acid Sequence↗