Roger Cooley | Canterbury Christ Church University (original) (raw)

Papers by Roger Cooley

Background. Awareness of chronic kidney disease (CKD) has been prompted by the publication of sev... more Background. Awareness of chronic kidney disease (CKD) has been prompted by the publication of several large epi-demiological studies since 2002. This has led to various initiatives for the early identification and management of CKD, including the introduction of automated glomeru-lar filtration rate (GFR) reporting and renal indicators in the primary care quality and outcomes framework (QOF) since April 2006. These initiatives were intended to pro-mote identification of CKD and have had an impact on referral patterns to renal services. The aim of this study was to understand the nature of this impact in a catchment population of 1.2 million people. Methods.Datawere collected and recorded from all written referrals from primary care between 1 April 2004 and 31

Case-based reasoning (CBR) has been viewed by many as just a methodology for building systems, bu... more Case-based reasoning (CBR) has been viewed by many as just a methodology for building systems, but the foundations of CBR are psychological theories. Dynamic Memory (Schank, 1982) was the first attempt to describe a theory for learning in computers and people, based on particular forms of data structures and processes, that nowadays are widely used in a variety of forms in CBR. In addition to being useful for system building, CBR provides a way of discussing a range of issues concerned with cognition. This focus on the practical uses of CBR has deflected attention from the need to develop further the underlying theory. In particular, the issue of knowledge acquisition, in not adequately handled by the existing theory. This paper discusses this theoretical weakness and then proposes an enhanced model of learning which is compatible with the CBR paradigm.

… : Computer Assisted Language Learning. May 20, 2001 …, 2001

47. Vlagopoulos PT, Tighiouart H, Weiner DE et al. Anemia as a risk factor for cardiovascular dis... more 47. Vlagopoulos PT, Tighiouart H, Weiner DE et al. Anemia as a risk factor for cardiovascular disease and all-cause mortality in diabetes: the impact of chronic kidney disease. J Am Soc Nephrol 2005; 16: 3403–3410 48. Weiner DE, Tighiouart H, Vlagopoulos PT et al. Effects of anemia and left ventricular hypertrophy on cardiovascular disease in patients with chronic kidney disease. J Am Soc Nephrol 2005; 16: 1803–1810 49. Kovesdy CP, Trivedi BK, Kalantar-Zadeh K et al. Association of ane-mia with outcomes in men with moderate and severe chronic kidney disease. Kidney Int 2006; 69: 560–564 50. Go AS, Chertow GM, Fan D et al. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 2004; 351: 1296–1305

Background. Chronic kidney disease (CKD) is a major public health problem. In the UK, guidelines ... more Background. Chronic kidney disease (CKD) is a major public health problem. In the UK, guidelines have been developed to facilitate case identification and management. Our aim was to estimate the annualized cost of implementation of the guidelines on newly identified CKD cases. Methods. We interrogated the New Opportunities for Early Renal Intervention by Computerised Assessment (NEOERICA) database using a Java program created to recompile the CKD guidelines into rule-based decision trees. This categorized all patients with a serum creatinine recorded over a 1-year period into those requiring more tests or referral. A 12-month cost analysis for following the guidelines was performed. Results. In the first year, a practice of 10 000 would identify 147.5 patients with stages 3-5 CKD over and above those already known. All stages 4-5 CKD cases would require nephrology referral. Of those with stage 3 CKD (143.85), 126.27 stable patients would require more tests. The following would requi...

Case-based reasoning (CBR) has been viewed by many as just a methodology for building systems, bu... more Case-based reasoning (CBR) has been viewed by many as just a methodology for building systems, but the foundations of CBR are psychological theories. Dynamic Memory (Schank, 1982) was the rst attempt to describe a theory for learning in computers and people , based on particular forms of data structures and processes, that nowadays are widely used in a variety of forms in CBR. In addition to being useful for system building, CBR provides a way of discussing a range of issues concerned with cognition. This focus on the practical uses of CBR has deeected attention from the need to develop further the underlying theory. In particular, the issue of knowledge acquisition, in not adequately handled by the existing theory. This paper discusses this theoretical weakness and then proposes an enhanced model of learning which is compatible with the CBR paradigm.

School governors in England are volunteers asked to provide a strategic steer to their school, fo... more School governors in England are volunteers asked to provide a strategic steer to their school, focussing on school improvement, monitoring the school's achievements and representing its local community. These roles imply a wide range of information needs, support and advice. This paper uses ideas of knowledge management to assess both present offline and ICT based support for governors, and to develop ideas for enhancing web enabled support for school governors.

Clinical Governance and Accountability in Cancer Networks - Data Logging and Data Attribution - -... more Clinical Governance and Accountability in Cancer Networks - Data Logging and Data Attribution - - Roger Cooley#, Roger James* #Lecturer, Computing Laboratory, University of Kent at Canterbury *Clinical Director, Kent Cancer Network Summary Managed care networks require a novel approach to data collection and clinical governance. Prospective data collection requires accountability to be linked to attributability for data logging. Networks are more likely to involve transfer of patients between health sectors and systemic (multi-disciplinary) rather than individual accountability. In NHS cancer networks there is an urgent need to co-ordinate prospective data collection and clarify its relationship with clinical governance. At present a series of datasets cover structural, process and outcome standards for cancer patients. Multiple Datasets · The Manual of Cancer Service Standards [1] governs the collection of data regarding structures (staffing and policies). A planned bi-annual revie...

Suggestion schemes are becoming increasingly popular in organisations in the UK and elsewhere, bu... more Suggestion schemes are becoming increasingly popular in organisations in the UK and elsewhere, but they are not normally studied from the viewpoint of information systems. This paper seeks to make good the omission. After briefly reviewing the nature and status of suggestion schemes, the paper describes fieldwork that has investigated both private sector and public sector suggestion schemes and implemented an experimental scheme. The evidence of the fieldwork is analysed to reveal the organisational structure of suggestion schemes and their use of automation. The role of suggestion schemes in relation to various types of knowledge and idealised forms of organisation is examined. The purpose of this analysis is partly to improve understanding of suggestion schemes, and partly to show how they can contribute to knowledge management and communication within organisations. The paper concludes by identifying ways in which an understanding of suggestion schemes can contribute to the desig...

This paper shows how the techniques used to develop knowledge-based systems can be applied to the... more This paper shows how the techniques used to develop knowledge-based systems can be applied to the construction of adaptive tests. It reports on an experimental approach to the construction of adaptive tests, and it draws on work in the fields of Intelligent Tutoring Systems, Expert Systems and Constraint Logic Programming. The distinctive features of the work are: • The use of expert emulation as a basis for the design of tests. • The use of logic programming and constraints for two purposes. Firstly, to support knowledge acquisition from an expert tutor during the development of a test; and secondly, to support the delivery of the test. The paper, after reviewing the approach to adaptive tests in Intelligent Tutoring Systems research, presents a case for expert emulation under those circumstances in which statistically based testing procedures are inappropriate. The paper then describes how knowledge about the content and design of an adaptive test can be facilitated by computer su...

IEE Colloquium on Case Based Reasoning: Prospects for Applications

This research shows how Constraint Logic Programming can form the basis of a knowledge elicitatio... more This research shows how Constraint Logic Programming can form the basis of a knowledge elicitation tool for the development of adaptive tests. A review of literature reveals that adaptive testing has, in recent years, been used as a student modelling tool in intelligent tutoring systems. Efforts in the construction and delivery of such tests have involved the use of state-space

… : Computer Assisted Language Learning. May 20, 2001 …, 2001

Case-based reasoning (CBR) has been viewed by many as just a methodology for building systems, bu... more Case-based reasoning (CBR) has been viewed by many as just a methodology for building systems, but the foundations of CBR are psychological theories. Dynamic Memory (Schank, 1982) was the rst attempt to describe a theory for learning in computers and people , based on particular forms of data structures and processes, that nowadays are widely used in a variety of forms in CBR. In addition to being useful for system building, CBR provides a way of discussing a range of issues concerned with cognition. This focus on the practical uses of CBR has deeected attention from the need to develop further the underlying theory. In particular, the issue of knowledge acquisition, in not adequately handled by the existing theory. This paper discusses this theoretical weakness and then proposes an enhanced model of learning which is compatible with the CBR paradigm.

IEE Colloquium on Case Based Reasoning: Prospects for Applications