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Biomedical subjects

V L Patel

Publications and source records attributed to V L Patel.

At least 37 records · Page 2Linked to original sources

Toward a framework for computer-mediated collaborative design in medical informatics.

The development and implementation of enabling tools and methods that provide ready access to knowledge and information are among the central goals of medical informatics. The need for multi-institutional collaboration in the development of such tools and methods is increasingly being recognized. Collaboration involves communication, which typically involves individuals who work together at the same location. With the evolution of electronic modalities for communication, we seek to understand the role that such technologies can play in supporting collaboration, especially when the participants are geographically separated. Using the InterMed Collaboratory as a subject of study, we have analyzed their activities as an exercise in computer- and network-mediated collaborative design. We report on the cognitive, sociocultural, and logistical issues encountered when scientists from diverse organizations and backgrounds use communications technologies while designing and implementing shared products. Results demonstrate that it is important to match carefully the content with the mode of communication, identifying, for example, suitable uses of E-mail, conference calls, and face-to-face meetings. The special role of leaders in guiding and facilitating the group activities can also be seen, regardless of the communication setting in which the interactions occur. Most important is the proper use of technology to support the evolution of a shared vision of group goals and methods, an element that is clearly necessary before successful collaborative designs can proceed.

Communication↗

Modeling patient response to acute myocardial infarction: implications for a tailored technology-based program to reduce patient delay.

We are examining ways in which a clinical information system can favorably influence the appropriateness and rapidity of decision-making in patients suffering from symptoms of acute myocardial infarction. In order to do so, we have developed a theoretically based cognitive model for patient decision making. Our model includes somatic and emotional awareness, perceived threat (vulnerability and susceptibility), expectations of symptoms, self-efficacy and response efficacy to explain the response of an individual their symptoms. Variables are explained within a framework that details how they are interrelated in the context of other moderating variables. With an understanding of the decision process, we are able to collect, maintain and access patient specific data to tailor technology-based interventions unique to the requirements of each individual at various phases of the decision process. Existing clinical information systems at Columbia-Presbyterian Medical Center already address issues related to patient relevant on-line data. Other patient specific information will be collected through on-line questionnaires. By basing our approach on the use of a cognitive model, we can assess the capacity of our interventions to modify variables important to the decision-making process, allowing us to pinpoint which interventions are effective and the reasons why they are ineffective.

Attitude to Health↗

Information technology and knowledge exchange in health-care organizations.

Despite the increasing global interest in information technology among health care institutions, little has been discussed about its importance for the effectiveness of knowledge management. In this study, economic theories are used to analyze and describe a theoretical framework for the use of information technology in the exchange of knowledge. The analyses show that health care institutions would benefit from developing global problem-solving collaboration, which allows practitioners to exchange knowledge unrestricted by time and geographical barriers. The use of information technology for vertical integration of health-care institutions would reduce knowledge transaction costs, i.e. decrease costs for negotiating and creating communication channels, and facilitating the determination of what, when, and how to produce knowledge. A global network would allow organizations to increase existing knowledge, and thus total productivity, while also supporting an environment where the generation of new ideas is unrestricted. Using all the intellectual potential of market actors and thereby releasing economic resources can reduce today's global budget conflicts in the public sector, i.e. the necessity to choose between health care services and, for instance, schools and support for the elderly. In conclusion, global collaboration and coordination would reduce the transaction costs inherent in knowledge administration and allow a more effective total use of scarce health-care resources.

Health Care Sector↗

Cognitive assessment and health education in children from two different cultures.

This paper presents research aimed at investigating high level comprehension and problem solving processes in children in two different countries, India and Colombia. To this end, we use a series of health-related cognitive tasks as assessment tools. In one study, we also examine children's performance on these cognitive tasks, in relation to their nutritional status and parasitic load. The ages of the children tested ranged from 2 through 14 years. The tasks were designed to assess comprehension of sequences, organization of concepts, understanding of health routines (hygiene practices) and evaluation of hypothesis and evidence. The results show that children approach the different tasks with a baggage of beliefs and local knowledge of the world which determines their reasoning process, their comprehension and their problems solving. The results are discussed in terms of cognitive assessment approaches, as applied to classroom instruction. Given that children construct their understanding of reality based on what they already know and that education does not take this into account, we recommend that assessment tools should be devised that can tap prior knowledge and understanding, such that this can be analyzed and understood in relation to knowledge taught in the classroom. Current educational assessment fails in such an endeavor.

Adolescent↗

A study of collaboration among medical informatics research laboratories.

The InterMed Collaboratory involves five medical institutions (Stanford University, Columbia University, Brigham and Women's Hospital, Massachusetts General Hospital, and McGill University) whose mandate has been to join in the development of shared infrastructural software, tools, and system components that will facilitate and support the development of diverse, institution-specific applications. Collaboration among geographically distributed organizations with different goals and cultures provides significant challenges. One experimental question, underlying all that InterMed has set out to achieve, is whether modern communication technologies can effectively bridge such cultural and geographical gaps, allowing the development of shared visions and cooperative activities so that the end results are greater than any one group could have accomplished on its own. In this paper we summarize the InterMed philosophy and mission, describe our progress over 3 years of collaborative activities, and present study results regarding the nature of the evolving collaborative processes, the perceptions of the participants regarding those processes, and the role that telephone conference calls have played in furthering project goals. Both informal introspection and more formal evaluative work, in which project participants became subjects of study by our evaluation experts from McGill, helped to shift our activities from relatively unfocused to more focused efforts while allowing us to understand the facilitating roles that communications technologies could play in our activities. Our experience and study results suggest that occasional face-to-face meetings are crucial precursors to the effective use of distance communications technologies; that conference calls play an important role in both task-related activities and executive (project management) activities, especially when clarifications are required; and that collaborative productivity is highly dependent upon the gradual development of a shared commitment to a well-defined task that leverages the varying expertise of both local and distant colleagues in the creation of tools of broad utility across the participating sites.

Computer Communication Networks↗

Electronic communication and collaboration in a health care practice.

Using cognitive evaluation techniques, this study examines the effects of an electronic patient record and electronic mail on the interactions of health care providers. We find that the least structured communication methods are also the most heavily used: face-to-face, telephone, and electronic mail. Positive benefits of electronically-mediated interactions include improving communication, collaboration, and access to information to support decision-making. Negative factors include the potential for overloading clinicians with unwanted or unnecessary communications.

Communication↗

Small worlds and medical expertise: implications for medical cognition and knowledge engineering.

This paper proposes and defends the small worlds hypothesis, which states that expert physicians organize diagnostic knowledge on the basis of similarities between disease categories, forming 'small worlds' consisting of small subsets of diseases and their distinguishing features. Examining existing data from several previous studies, the authors provide support for the small worlds hypothesis and for a characterization of the process of expert medical diagnostic reasoning as a succession of limited comparisons involving related diagnostic hypotheses. In one study, subjects were presented clinical endocrine cases one statement at a time and were prompted to think aloud after presentation of each statement. A combination of discourse and protocol analysis techniques were used to investigate hypothesis generation and evaluation. In another study, dialogues from doctor-patient interviews were examined. It was found that expert subjects rapidly select relatively small sets of plausible diagnostic hypotheses (small worlds) and focus on the most relevant medical findings that distinguish among the diseases in such small worlds. Results from both studies indicate that expert physicians use efficient strategies for discriminating among these alternative hypotheses in a stepwise process. In contrast, non-experts often generate large numbers of possible diagnostic hypotheses, belonging to widely differing disease categories. The results provide empirical support for the theoretical basis of small worlds. The implications of these results for the study of medical expertise and knowledge engineering are discussed, as well as considerations for the development of decision support systems.

Clinical Competence↗

Understanding, navigating and communicating knowledge: issues and challenges.

This paper presents a psychological perspective on key issues related to medical vocabularies. There have been rapid advances in the development of computer technology underlying medical information systems. However, in keeping with technological progress, we must also take into account advances in our understanding of human behaviour and learn from failures in human performance. A central issue examined in this paper is the extent to which we can develop generic vocabularies that are also flexible and adaptable to specific situations. Empirical research indicates that variability in human performance is much greater than what current medical classifications take into account. A related challenge is that of how to best develop vocabularies that meet the needs of users. Based on theoretical perspectives and research emerging from the domain of cognitive psychology, we suggest that an understanding of the cognitive mechanisms underlying the comprehension and application of terminology is required. It is argued that rather than beginning with highly specified terminologies, i.e. the normative approach, we might instead begin by examining the natural context of how health care workers acquire, understand and negotiate knowledge in practice.

Artificial Intelligence↗

Interface design for health care environments: the role of cognitive science.

An important challenge in the development of computer-based health care environments is the design of effective user interfaces. In this paper we consider a number of aspects of interface design related to the study of human-computer interaction from a cognitive perspective. It is argued that user interfaces must be designed with consideration of the information requirements, cognitive capabilities and limitations of the end users. Greater concern for fundamental research in design of user interfaces is also needed to complement short-term goals and approaches to improving user interfaces. Towards these objectives, several emerging trends are beginning to have an important impact in the design of health care interfaces. This includes the recognition of the need for iterative design and evaluation of user interfaces, applying theoretical frameworks and methods from cognitive science. An understanding of distributed as well as individual cognition will also become critical in the development of effective user interfaces as access to health care systems becomes increasingly widespread.

Cognition↗

Architecture for a Web-based clinical information system that keeps the design open and the access closed.

We are developing the Patient Clinical Information System (PatCIS) project at Columbia-Presbyterian Medical Center to provide patients with access to health information, including their own medical records (permitting them to contribute selected aspects to the record), educational materials and automated decision support. The architecture of the system allows for multiple, independent components which make use of central services for managing security and usage logging functions. The design accommodates a variety of data entry, data display and decision support tools and provides facilities for tracking system usage and questionnaires. The user interface minimizes hypertext-related disorientation and cognitive overload; our success in this regard is the subject of on-going evaluation.

Computer Security↗

Usability testing in medical informatics: cognitive approaches to evaluation of information systems and user interfaces.

This paper describes an approach to the evaluation of health care information technologies based on usability engineering and a methodological framework from the study of medical cognition. The approach involves collection of a rich set of data including video recording of health care workers as they interact with systems, such as computerized patient records and decision support tools. The methodology can be applied in the laboratory setting, typically involving subjects "thinking aloud" as they interact with a system. A similar approach to data collection and analysis can also be extended to study of computer systems in the "live" environment of hospital clinics. Our approach is also influenced from work in the area of cognitive task analysis, which aims to characterize the decision making and reasoning of subjects of varied levels of expertise as they interact with information technology in carrying out representative tasks. The stages involved in conducting cognitively-based usability analyses are detailed and the application of such analysis in the iterative process of system and interface development is discussed.

Cognition↗

Collaborative medical informatics research using the Internet and the World Wide Web.

The InterMed Collaboratory is an interdisciplinary project involving six participating medical institutions. There are two broad mandates for the effort. The first is to further the development, sharing, and demonstration of numerous software and system components, data sets, procedures and tools that will facilitate the collaborations and support the application goals of these projects. The second is to provide a distributed suite of clinical applications, guidelines, and knowledge-bases for clinical, educational, and administrative purposes. To define the interactions among the components, datasets, procedures, and tools that we are producing and sharing, we have identified a model composed of seven tiers, each of which supports the levels above it. In this paper we briefly describe those tiers and the nature of the collaborative process with which we have experimented.

Computer Communication Networks↗

Steering through the murky waters of a scientific conflict: situated and symbolic models of clinical cognition.

The situated action perspective, which embraces a diversity of views, challenges several of the fundamental assumptions of the symbolic information-processing framework underlying cognitive science and artificial intelligence. In this paper, we consider the following issues; symbolic representations, plans and actions, distributed cognition, and the transfer of learning. We evaluate each of these issues in terms of research and theories in clinical cognition and examine the implications for education and training, and for the integration of intelligent systems in medical practice. We argue for a reconceptualization of the symbolic framework in terms of the way the role of internal representations and cognitive activities are perceived. However, symbolic representations are integral to medical cognition and should continue to be central in any theoretical framework. A re-examination of cognitive science in medicine in terms of the relationship among physicians, technology, and the workplace could prove to be constructive in bridging the gap between theory and practice.

Artificial Intelligence↗

Advanced patient information systems and medical concept representation.

With ubiquitous networked computer based patient information systems, the conventional technology reaches a sound barrier: problems of recall and precision curtail the efficiency gains in data retrieval as the number of data sources and the amount of data in them increases; concerns for privacy protection meet the limits of conventional means as the entropy of the data collections and the number of persons implicated by them increases. We propose that these shortcomings will require additional features for advanced patient information systems, and that medical concept representation has a key role in overcoming these deficiencies. After substantiating the evidence for the need, we outline a means for improvement through medical concept representation. We conclude by discussing the current state of alternatives for medical concept representation and propose that the methodology for resolution of the identified impediments is available.

Ethics, Medical↗

Bridging theory and practice: cognitive science and medical informatics.

Medical informatics has experienced dramatic growth, both as an applied and as a research discipline in recent years. In this paper, we argue that there is a need to expand the research base to characterize the cognitive dimension of informatics. Theories and methods from cognitive science can provide an effective counterpart to traditional medical informatics in addressing issues of usability of the systems, the processing of information, and the training of physicians. In the first part of the paper, we address the problems inherent in applying basic theories to practice and suggest some potential solutions. The second section deals with epistemological issues that are fundamental to cognitive science research and medical informatics. We then discuss two areas of application of cognitive scientific theories and methods to medical informatics: cognitive evaluation of human computer interface and intelligent medical decision support systems. The paper addresses the progress that has been made thus far and discusses how future cognitive research can facilitate further growth in the development of these applications.

Artificial Intelligence↗

Cognitive computer-based video analysis: its application in assessing the usability of medical systems.

This paper describes a methodology, based on cognitive research, for assessing the usability of medical computing systems. The issue of developing appropriate evaluation tools, both for use in the design process and for analysis of end products, is beginning to be recognized as being of great importance. In this paper, the use of video recording for collecting empirical data on system usability is detailed. The techniques described allow for the collection of an integrated data set consisting of the transcripts of physicians as they "think aloud" in interacting with a medical system, along with video records of user-computer interaction. The use of coding methodologies and a computer-based annotation system for the analysis of video data are described. Our preliminary experience indicates that this methodology offers a powerful way for assessing physicians' informational needs. Implications for the development and evaluation of medical information systems are discussed.

Computer Systems↗

Cognitive models of clinical reasoning and conceptual representation.

This paper presents an approach to conceptual representation, informed by theories and methods from cognitive psychology. Our investigation of clinical case comprehension and reasoning from textual information has shifted from instantiation models in which text processing is carried out through schema fitting to more dynamic models that account for how schemata are constructed by a process of construction and integration of meaning, which depends on specific situations. We give an example involving doctor-patient dialogue to illustrate this point. Nonetheless, our main approach has been propositionally-based. As we conduct research into more specific aspects of medical understanding, such as understanding of physiological systems, we have included alternative approaches, such as qualitative functional graphs. We present examples of their use in our research. These representational formalisms allow us better to capture reasoning and understanding in dynamic systems.

Artificial Intelligence↗