Search PubMed⌕ Search

Biomedical subjects

J J Cimino

Publications and source records attributed to J J Cimino.

At least 19 recordsLinked to original sources

Accessing heterogeneous sources of evidence to answer clinical questions.

The large and rapidly growing number of information sources relevant to health care, and the increasing amounts of new evidence produced by researchers, are improving the access of professionals and students to valuable information. However, seeking and filtering useful, valid information can be still very difficult. An online information system that conducts searches based on individual patient data can have a beneficial influence on the particular patient's outcome and educate the healthcare worker. In this paper, we describe the underlying model for a system that aims to facilitate the search for evidence based on clinicians' needs. This paper reviews studies of information needs of clinicians, describes principles of information retrieval, and examines the role that standardized terminologies can play in the integration between a clinical system and literature resources, as well as in the information retrieval process. The paper also describes a model for a digital library system that supports the integration of clinical systems with online information sources, making use of information available in the electronic medical record to enhance searches and information retrieval. The model builds on several different, previously developed techniques to identify information themes that are relevant to specific clinical data. Using a framework of evidence-based practice, the system generates well-structured questions with the intent of enhancing information retrieval. We believe that by helping clinicians to pose well-structured clinical queries and including in them relevant information from individual patients' medical records, we can enhance information retrieval and thus can improve patient-care.

Computational Biology↗

A knowledge-based, concept-oriented view generation system for clinical data.

Information overload is a well-known problem for clinicians who must review large amounts of data in patient records. Concept-oriented views, which organize patient data around clinical concepts such as diagnostic strategies and therapeutic goals, may offer a solution to the problem of information overload. However, although concept-oriented views are desirable, they are difficult to create and maintain. We have developed a general-purpose, knowledge-based approach to the generation of concept-oriented views and have developed a system to test our approach. The system creates concept-oriented views through automated identification of relevant patient data. The knowledge in the system is represented by both a semantic network and rules. The key relevant data identification function is accomplished by a rule-based traversal of the semantic network. This paper focuses on the design and implementation of the system; an evaluation of the system is reported separately.

Artificial Intelligence↗

'Televaluation' of clinical information systems: an integrative approach to assessing Web-based systems.

The World Wide Web provides an unprecedented opportunity for widespread access to health-care applications by both patients and providers. The development of new methods for assessing the effectiveness and usability of these systems is becoming a critical issue. This paper describes the distance evaluation (i.e. 'televaluation') of emerging Web-based information technologies. In health informatics evaluation, there is a need for application of new ideas and methods from the fields of cognitive science and usability engineering. A framework is presented for conducting evaluations of health-care information technologies that integrates a number of methods, ranging from deployment of on-line questionnaires (and Web-based forms) to remote video-based usability testing of user interactions with clinical information systems. Examples illustrating application of these techniques are presented for the assessment of a patient clinical information system (PatCIS), as well as an evaluation of use of Web-based clinical guidelines. Issues in designing, prototyping and iteratively refining evaluation components are discussed, along with description of a 'virtual' usability laboratory.

Attitude to Computers↗

Partitioning an object-oriented terminology schema.

Controlled medical terminologies are increasingly becoming strategic components of various healthcare enterprises. However, the typical medical terminology can be difficult to exploit due to its extensive size and high density. The schema of a medical terminology offered by an object-oriented representation is a valuable tool in providing an abstract view of the terminology, enhancing comprehensibility and making it more usable. However, schemas themselves can be large and unwieldy. We present a methodology for partitioning a medical terminology schema into manageably sized fragments that promote increased comprehension. Our methodology has a refinement process for the subclass hierarchy of the terminology schema. The methodology is carried out by a medical domain expert in conjunction with a computer. The expert is guided by a set of three modeling rules, which guarantee that the resulting partitioned schema consists of a forest of trees. This makes it easier to understand and consequently use the medical terminology. The application of our methodology to the schema of the Medical Entities Dictionary (MED) is presented.

Humans↗

Terminology tools: state of the art and practical lessons.

OBJECTIVES: As controlled medical terminologies evolve from simple code-name-hierarchy arrangements, into rich, knowledge-based ontologies of medical concepts, increased demands are placed on both the developers and users of the terminologies. In response, researchers have begun developing tools to address their needs. The aims of this article are to review previous work done to develop these tools and then to describe work done at Columbia University and New York Presbyterian Hospital (NYPH). METHODS: Researchers working with the Systematized Nomenclature of Medicine (SNOMED), the Unified Medical Language System (UMLS), and NYPH's Medical Entities Dictionary (MED) have created a wide variety of terminology browsers, editors and servers to facilitate creation, maintenance and use of these terminologies. RESULTS: Although much work has been done, no generally available tools have yet emerged. Consensus on requirement for tool functions, especially terminology servers is emerging. Tools at NYPH have been used successfully to support the integration of clinical applications and the merger of health care institutions. CONCLUSIONS: Significant advancement has occurred over the past fifteen years in the development of sophisticated controlled terminologies and the tools to support them. The tool set at NYPH provides a case study to demonstrate one feasible architecture.

Computer Systems↗

Building a knowledge base to support a digital library.

As part of an effort to develop a knowledge base to support searching online medical literature according to individual needs, we have studied the possibility of using the co-occurrence of MeSH terms in MEDLINE citations associated with the search strategies optimal for evidence based medicine to automated construction of a knowledge base. This study evaluates the relevance of the relationships between the semantic relationship pairs generated by the process, and the clinical validity of the semantic types involved in the process. From the semantic pairs proposed by our method, a group of clinicians judge sixty percent to be relevant. The remaining forty percent included semantic types considered unimportant by clinicians. The knowledge extraction method showed reasonable results. We believe it can be appropriate for the task of retrieving information from the medical record in order to guide users during a searching and retrieval process. Future directions include the validation of the knowledge, based on an evaluation of system performance.

Algorithms↗

What do patients do with access to their medical records?

We sought to study the phenomenon of patients having access to their own medical records in order to determine the impact on them and on their relationship with their health care providers. We created the Patient Clinical Information System (PatCIS) to interface with the clinical data repository at New York Presbyterian Hospital to allow patients to add to and review their medical data. We also provided educational resources and automated advice programs. We provided access to the system to thirteen subjects over a nineteen-month period and reviewed their activities in the system's usage log. We also collected data via questionnaire and telephone interview. We found that patients varied in their use of the system, from once a month or less to one or more times per day. All patients primarily used the system to review laboratory results. Both they and their physicians believed that use of the system enhanced the patients' understanding of their conditions and improved their communication with their physicians. There were no adverse events encountered during the study.

Adult↗

Developing tailored theory-based educational content for WEB applications: illustrations from the MI-HEART project.

This paper describes how theory facilitated the development of educational content for the MI-HEART project, a tailored Web-based intervention designed to favorably influence the appropriateness and rapidity of decision-making in patients suffering from symptoms of acute myocardial infarction. There were five steps involved: 1) formulating the behavioral goal, 2) defining intervention objectives based on an analyses of the determinants of behavior, 3) developing an assessment tool to measure a person's status on these determinants, 4) creating tailored content that address individual variation on determinants of the health behavior and, 5) developing algorithms and a computer program that link responses from the assessment to specific tailored communication. The approach we describe largely distinguishes Web-based applications that are designed to change health behavior from those that simply impart information. Developers of Web-based applications that propose to improve health status by modifying health-related behaviors need the understanding that although it is said that we live in an "information age", simply increasing knowledge has not been effective in changing behaviors in most instances. Furthermore, the one-size fits all approach to developing educational content cannot address the needs, concerns and interests of different individuals. With informatics technology, our ability to collect information from individuals and provide educational content tailored to the specific information collected is not only possibly, but practical.

Algorithms↗

Integration of nursing assessment concepts into the medical entities dictionary using the LOINC semantic structure as a terminology model.

Recent investigations have tested the applicability of various terminology models for the representing nursing concepts including those related to nursing diagnoses, nursing interventions, and standardized nursing assessments as a prerequisite for building a reference terminology that supports the nursing domain. We used the semantic structure of Clinical LOINC (Logical Observations, Identifiers, Names, and Codes) as a reference terminology model to support the integration of standardized assessment terms from two nursing terminologies into the Medical Entities Dictionary (MED), the concept-oriented, metadata dictionary at New York Presbyterian Hospital. Although the LOINC semantic structure was used previously to represent laboratory terms in the MED, selected hierarchies and semantic slots required revisions in order to incorporate the nursing assessment concepts. This project was an initial step in integrating nursing assessment concepts into the MED in a manner consistent with evolving standards for reference terminology models. Moreover, the revisions provide the foundation for adding other types of standardized assessments to the MED.

Dictionaries, Medical as Topic↗

Battling Scylla and Charybdis: the search for redundancy and ambiguity in the 2001 UMLS metathesaurus.

I previously developed methods for identifying cases of multiple synonymous concepts (redundancy) and concepts with multiple meanings (ambiguity) and applied them to the 1995 UMLS Metathesaurus. These methods use semantic approaches (including knowledge about word synonymy and the semantic types assigned to concepts) to complement the standard lexical approaches. In this paper, I describe the results of their application to the 2001 Metathesaurus and examine their implications for the evolution of the UMLS.

Subject Headings↗

Perceived information needs and communication difficulties of inpatient physicians and nurses.

In order to understand the differing perceptions of information needs and communication patterns of healthcare professionals as they relate to medical errors, we conducted a survey and 5 focus group sessions of inpatient physicians and nurses. Although nurses and physicians stated differing information needs, both groups expressed significant problems with obtaining patient, domain and institution-specific information in a timely manner. Identification of appropriate providers and establishing contact with those people was perceived as the most pressing communication need. All focus group participants felt that communication difficulties were common and could give examples in which such difficulties led to adverse events. Our studies suggest that information needs and communication difficulties are common and can lead to medical errors or near misses. Many of these problems may be amenable to information technology solutions.

Communication↗

Using narrative reports to support a digital library.

The vast amount of information collected and stored in clinical systems can be a significant challenge in the integration of digital libraries and electronic medical records, especially the selection of clinical data to be used in the search, retrieval, and summarization processes. In this study, we describe the use of information retrieval measures with natural language processor output to identify critical information in narrative reports. Our hypothesis is that clinical data that occur often in narrative reports are less important to clinicians than findings that occur rarely. We used the information retrieval methods to analyze one year of discharge summaries. We then conducted a performance study, using physicians as subject. Results show that the methods can be used for filtering critical information from reports. Further studies need to be done on evaluation of the method based on an evaluation of the system performance in the context of a digital library.

Humans↗

Development of an ontology to model medical errors, information needs, and the clinical communication space.

Medical errors are common, costly and often preventable. Work in understanding the proximal causes of medical errors demonstrates that systems failures predispose to adverse clinical events. Most of these systems failures are due to lack of appropriate information at the appropriate time during the course of clinical care. Problems with clinical communication are common proximal causes of medical errors. We have begun a project designed to measure the impact of wireless computing on medical errors. We report here on our efforts to develop an ontology representing the intersection of medical errors, information needs and the communication space. We will use this ontology to support the collection, storage and interpretation of project data. The ontology's formal representation of the concepts in this novel domain will help guide the rational deployment of our informatics interventions. A real-life scenario is evaluated using the ontology in order to demonstrate its utility.

Clinical Medicine↗

Integrating existing drug formulation terminologies into an HL7 standard classification using OpenGALEN.

Many terminologies exist for the form of drugs--i.e. tablets, capsules, sprays, suppositories, etc. However, they have surprisingly different content. To communicate medication messages effectively, a mechanism is needed to translate between these existing terminologies. An ontological approach, based on techniques developed by OpenGALEN, has been used to build a drug form terminology for HL7 version 3. It integrates existing terminologies from commercial drug information vendors and regulatory authorities, and provides a framework for translating between them. To date, term sets have been included from First DataBank, the FDA, Multum and Micromedex, to produce a terminology of 820 concepts. The approach is made practical by distributing the knowledge engineering effort to volunteers with experience of the domain, and then integrating the knowledge into a logically consistent classification.

Chemistry, Pharmaceutical↗

An "infobutton" for enabling patients to interpret on-line Pap smear reports.

We describe the development of a prototype application that would allow patients with little or no medical background to understand their Pap smear reports. This information button, or "infobutton", is attached to on-line text reports describing Pap smear results present in a medical record system intended for patient access (PatCIS). The infobutton application generates an explanation of terms present in the report and a list of questions related to the terms in the report, which link to publicly accessible resources on the Web.

Data Display↗

An evaluation of patient access to their electronic medical records via the World Wide Web.

This paper describes initial experience with the Web-based Patient Clinical Information System (PatCIS). The system was designed to serve as a framework for the integration of applications that help patients access their electronic medical record, add data to their record, review on-line health information, and apply their own clinical data (automatically) to guideline programs that offer health advice. The architecture supports security functions and records user activities, relieving application developers from concerns about safe information practices and the evaluation process. PatCIS is being used to study the social and cognitive impact of allowing patients to have access to their health records via the Web. To date, PatCIS has grown to include 15 clinical functions and 4 dynamic links to literature (called infobuttons). Eleven patients have been enrolled since April, 1999; five have been active users. Experience shows that the PatCIS architecture supports application integration while providing adequate security and evaluation functions. Initial caution with the patient enrollment process has limited recruitment and, consequently, usage. However, experience thus far suggests that PatCIS has good usability and utility. No adverse events, including undesirable impact on doctor-patient interactions, have been reported. There do not appear to be any technical impediments to scaling up the enrollment to continue to observe patient usage.

Computer Security↗

Evaluation of Web-based patient information resources: application in the assessment of a patient clinical information system.

The advent of Internet-based information systems has provided unprecedented opportunity for the widespread access to medical information. However, issues related to the evaluation of such systems to ensure their usability, effectiveness and to assess their effect on the provider-patient relationship pose a considerable challenge. This paper describes a framework for the distance evaluation of web-based information technologies. The methods are described in the context of an ongoing evaluation of a system known as PatCIS, designed to be accessed by patients from home for obtaining health information, and for management of chronic diseases. We employ a multi-method approach that involves collection of a rich data set, including Web-based questionnaires, automatic logging of user activity and e-mail communication with users. Our work in evaluation design is influenced from research in the areas of cognitive science and the field of usability engineering which aims to characterize the interaction of users with information technologies.

Attitude to Computers↗

Formal combinations of guidelines: a requirement for self-administered personalized health education.

This paper addresses a process in which we combined educational guidelines (EG) from heterogeneous sources in one set of coherent computable statements to support dynamically generated and precisely tailored patient education material. The Guideline Interchange Format (GLIF), predicate logic and decision tables were assessed. An extended formalism of GLIF was applied to break up composite sentences of the educational material in atomic sentences. The differentiation of atomic sentences and combinations of atomic sentences from heterogeneous sources lead to a simplified overall content and model, and a significant reduction of conditional sentences in the EG. The resulting streamlined and personalized guidelines are expected to provide an improved user experience.

Chest Pain↗