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The Centennial Patient Care Program: binding patient, student, and clinician-teacher in a learning triad.

The University of Chicago is building a technology-based clinical environment to provide a longitudinal experience for patients and medical students. This environment uses an open systems, computer communication and information support network to forge an interactive education and care relationship between patient, medical student, and clinical faculty mentor. The project proactively addresses some of the most important activities required to reform both the health care and medical education systems: anchoring patient care in a generalist setting; educating medical students in outpatient medicine; fostering primary care as a career choice; and using medical informatics as a tool rather than as an end in itself. Moreover, the project effectively deploys concepts such as patient-centered education, student-based learning, and mentored teaching experiences. This paper reports the curricular, pedagogical, and technological motivations and framework under which the project was designed, and describes the process that a patient-student-clinician/teacher triad will experience as participants in this program.

Ambulatory Care Facilities↗

Sharing and communicating health care information: summary and recommendations.

Sharing and communicating information is a fundamental task in modern medicine. The health care system of the western world is based on teamwork of professionals who participate in the care of patients. Exchange of information (not just data) requires the communicating parties to agree on a communication channel, an exchange protocol, and a common language. The language includes an alphabet, words, phrases, and symbols that express and assign meaning, understood by all. The most common forms of communication are the spoken word and the paper-based patient record. Computers and communication systems improve the sharing of health care information by overcoming the limitations imposed by the dimensions of time and location. However, natural language is still too complex and too ambiguous for current computing devices to handle the complex interactions between health care professional and patients. A simpler 'language' is needed that uses domain specific vocabularies (and/or codes), well-defined exchange protocols for data, information, knowledge, and, in the future, perhaps even wisdom. This simpler 'language' is expected to handle most of the routine information exchange but not eliminate natural language. It is essential that health care information systems preserve and incorporate natural language expressions and integrate them with structured vocabularies. Today, agreeing on standard data exchange protocols and domain specific vocabularies and codes is our greatest challenge. However, standards alone are not sufficient. Acceptance of the standards by the health care professionals, verifications in clinical environments, and implementation agreements by the medical informatics industry are essential. The group on 'Sharing and Communication of Health Care Information' addressed the issues raised above and unanimously recommends a number of steps that will improve the sharing of information. In addition, specific recommendations are offered to governments, health care institutions, and to developers of health care information systems.

Communication↗

Using the UMLS Semantic Network as a basis for constructing a terminological knowledge base: a preliminary report.

Sharing and reuse of knowledge bases is recognized in Artificial Intelligence and Medical Informatics as beneficial, but difficult. Reusing an existing knowledge base can save considerable time and effort during the knowledge engineering phase, and facilitates integration of systems. However, the degree to which knowledge can be shared among different applications is still mainly an empirical question. In this paper, we describe the preliminary results of our attempt to reuse the UMLS Semantic Network as an ontology for the knowledge base of a patient education system.

Algorithms↗

[Fundamental curriculum in University Education of Medical Technologists: special practice for clinical medicine and biotechnology].

This is the summary of my talk about the new concept of education for medical technologists. In Osaka University, the course for laboratory medicine changed from a 3-year to a 4-year training course, and our faculty started a new curriculum of special practice in clinical medicine and biotechnology for first-year undergraduate students from 1997. This special practice in clinical medicine consists of three parts, encompassing learning in the essential divisions of the hospital, bedside learning, and presentation in case conferences. Students visit from time to time to seven divisions, outpatients' clinic, surgical operation room, laboratory for radiological examination, rehabilitation rooms, pharmacy, central storage room for medical records, and the department of medical informatics. The aim of this round practice is to broaden their review of clinical medicine. They also go to the bed side of one patient in the ward for 4 weeks especially for learning about values of laboratory data. They follow up the laboratory data and go with the patient to clinical physiological examinations. Finally, they present their case to all their teachers and class mates in a semi-congress style and are evaluated with scores by the staffs.

Biotechnology↗

Outcomes in 45 patients with statin-associated myopathy.

BACKGROUND: Published studies regarding statin-associated myopathy may describe more dramatic patient presentations, potentially leading to inaccurate characterization of the condition. Furthermore, long-term outcomes and responses to statin rechallenge in patients with statin-associated myopathy are largely unknown. METHODS: The University of Wisconsin Hospital and Clinics Medical Informatics Department identified 437 patients with International Classification of Diseases, Ninth Revision codes potentially representing cases of statin-associated myopathy from more than 13 years of inpatient and outpatient data; 45 of these individuals were diagnosed as having statin-associated myopathy. Using a standardized form, 2 researchers abstracted all the case records to define the clinical course of statin-induced myopathy. RESULTS: The mean (SD) duration of statin therapy before symptom onset was 6.3 (9.8) months. Resolution of muscle pain occurred a mean (SD) of 2.3 (3.0) months after discontinuation of statin therapy. Six patients (13%) were hospitalized for the management of rhabdomyolysis; 2 had reversible renal dysfunction, and 1 with preexisting renal insufficiency subsequently began lifelong dialysis. Hospitalized patients developed myopathy more quickly after initiating statin therapy (1.3 vs 7.1 months; P = .048) and were more likely to be taking concomitant medications known to increase the risk of statin-associated myopathy (P = .03). Thirty-seven patients received another statin after an episode of statin-associated myopathy; 21 (57%) reported recurrent muscle pain, whereas 16 (43%) tolerated other statins without recurrent symptoms. CONCLUSIONS: Patients with statin-associated myopathy experienced full resolution of muscle pain on cessation of statin therapy. Although no deaths occurred, 13% of the patients required hospitalization for rhabdomyolysis. Recurrent muscle pain was common on statin rechallenge.

Age Factors↗

Accelerating U.S. EHR adoption: how to get there from here. recommendations based on the 2004 ACMI retreat.

Despite growing support for the adoption of electronic health records (EHR) to improve U.S. healthcare delivery, EHR adoption in the United States is slow to date due to a fundamental failure of the healthcare information technology marketplace. Reasons for the slow adoption of healthcare information technology include a misalignment of incentives, limited purchasing power among providers, variability in the viability of EHR products and companies, and limited demonstrated value of EHRs in practice. At the 2004 American College of Medical Informatics (ACMI) Retreat, attendees discussed the current state of EHR adoption in this country and identified steps that could be taken to stimulate adoption. In this paper, based upon the ACMI retreat, and building upon the experiences of the authors developing EHR in academic and commercial settings we identify a set of recommendations to stimulate adoption of EHR, including financial incentives, promotion of EHR standards, enabling policy, and educational, marketing, and supporting activities for both the provider community and healthcare consumers.

Diffusion of Innovation↗

AMIA advocates national health information system in fight against national health threats.

To protect public health and national safety, AMIA recommends that the federal government dedicate technologic resources and medical informatics expertise to create a national health information infrastructure (NHII). An NHII provides the underlying information utility that connects local health providers and health officials through high-speed networks to national data systems necessary to detect and track global threats to public health. AMIA strongly recommends the accelerated development and wide-scale deployment of electronic public health surveillance systems, computer-based patient records, and disaster-response information technologies. Such efforts hold the greatest potential to protect our citizens from disaster and to deliver the best health care if disaster strikes.

Disaster Planning↗

Implementation of computer-based patient records in primary care: the societal health economic effects.

OBJECTIVE: Exploration of the societal health economic effects occurring during the first year after implementation of Computerised Patient Records (CPRs) at Primary Health Care (PHC) centres. DESIGN: Comparative case studies of practice processes and their consequences one year after CPR implementation, using the constant comparison method. Application of transaction-cost analyses at a societal level on the results. SETTING: Two urban PHC centres under a managed care contract in Ostergötland county, Sweden. MAIN OUTCOME MEASURES: Central implementation issues. First-year societal direct normal costs, direct unexpected costs, and indirect costs. Societal benefits. RESULTS: The total societal effect of the CPR implementation was a cost of nearly 250,000 SEK (USD 37,000) per GP team. About 20% of the effect consisted of direct unexpected costs, accured from the reduction of practitioners' leisure time. The main issues in the implementation process were medical informatics knowledge and computer skills, adaptation of the human-computer interaction design to practice routines, and information access through the CPR. CONCLUSIONS: The societal costs exceed the benefits during the first year after CPR implementation at the observed PHC centres. Early investments in requirements engineering and staff training may increase the efficiency. Exploitation of the CPR for disease prevention and clinical quality improvement is necessary to defend the investment in societal terms. The exact calculation of societal costs requires further analysis of the affected groups' willingness to pay.

Computer Literacy↗

Evaluating informatics applications--some alternative approaches: theory, social interactionism, and call for methodological pluralism.

A review of evaluation literature concerning CDSSs indicates that randomized controlled clinical trials (RCTs) are the 'gold standard' for evaluation. While this approach is excellent for studying system or clinical performance, it is not well suited to answering questions concerning whether systems will be used or how they will be used. Because lack of use of CDSS has been of concern for some years, other evaluation research designs are needed to address those issues. This paper critiques RCT and experimental evaluation approaches and presents alternative approaches to evaluation that address questions outside the scope of the usual RCT and experimental designs. A wide range of literature is summarized to illustrate the value of evaluations that take into account social, organizational, professional, and other contextual considerations. Many of these studies go beyond the usual measures of systems performance or physicians' behavior by focusing on 'fit' of the system with other aspects of professional and organizational life. Because there is little explicit theory that informs many evaluations, the paper then reviews CDSS evaluations informed by social science theories. Lastly, it proposes a theoretical social science base of social interactionism. An example of such an approach is given. It involves a CDSS in psychiatry and is based on Kaplan's 4Cs, which focus on communication, control, care, and context. Although the example is a CDSS, the evaluation approach also is useful for clinical guideline implementation and other medical informatics applications. Similarly, although the discussion is about social interactionism, the more important point is the need to broaden evaluation through a variety of methods and approaches that investigate social, cultural, organizational, cognitive, and other contextual concerns. Methodological pluralism and a variety of research questions can increase understanding of many influences concerning informatics applications development and deployment.

Attitude↗

Computer assisted monitoring in intensive medicine.

Intensive Medicine is always associated with the problem of handling the mass and assuring the quality of information on vital signs, fluid and blood balance, laboratory data, physiological calculations, etc., required in patient care. A computer based monitoring system for intensive care was introduced in 1973 at the Academic Hospital in Leuven. The basic software was developed at the Peter Bent Brigham Hospital of the Harvard Medical School and the medical division of the Hewlett Packard Company; the computer used was a H.P. 2100 central processor with 32K of core memory. Initially, the program allowed mainly acquisition, storage and retrieval of bedside monitored and manual data of cardiac and circulatory function. Very soon however, the software was extended and modified by the division of "Medical Informatics" in order to meet new or different requirements. In the present situation our vision on the use of computer-assisted monitoring has changed and our present program has been extended as follows : 1. On-line collection and retrieval of bedside monitored data including heart rate, arterial blood pressure (systolic-diastolic-mean) left atrial pressure, central venous pressure, pulmonary artery pressure, intracranial pressure. Trend analysis of those data, with calculation of mean values, standard variation and corresponding t-tests. 2. Computer assistance in performing time consuming calculations on off-line data such as : -- clearance-values (renal function), -- temperature-correction of blood-gasvalues, -- hour-to-hour fluid balance, including calculation of in-sensible losses, -- blood-balance. 3. Data transmission of laboratory results as soon as available in the central laboratory through a direct link between laboratory and I.T.U. 4. Computer assisted E.C.G. analysis. The three first objectives are realised, on-line E.C.G.-analysis is being developed. The same computer serves the remotely located medical and coronary care units and one bed in the emergency department. An assessment of computer assistance in intensive therapy, on nursing labor and on quality of patient care is made.

Clinical Laboratory Techniques↗

Indianapolis I3: the third generation Integrated Advanced Information Management Systems.

In 2001, the Regenstrief Institute for Health Care and the Indiana University School of Medicine (IUSM) began an IAIMS planning effort to create a vision and a tactical plan for the first Integrated Advanced Information Management Systems (IAIMS) implementation to cross a large area and include unaffiliated institutions. A number of elements made this planning effort unique. Among these elements were the existence of a network infrastructure that supported the Indianapolis Network for Patient Care, the existence of a mature medical informatics program at the Regenstrief Institute, and the existence of a wide-area knowledge network fostered by the IUSM libraries. However, the leadership for a strong information technology role in the IUSM that could promote collaboration in support of education and research across the diverse Indianapolis hospital systems had been lacking. By bringing together various groups, each with a commitment to improve health care quality and public health across the Indianapolis metropolitan area, regardless of individual institutional affiliation, the strategic directions for I3-Indianapolis IAIMS Initiative have been defined and the foundations for a third generation IAIMS construct have been laid in Indianapolis, Indiana.

Academic Medical Centers↗

The medical information needs of internists and pediatricians at an academic medical center.

Medical information needs were examined in a survey of sixty-seven physicians selected from the faculty and housestaff at Johns Hopkins Hospital. A standardized questionnaire was administered personally by a medical informatics physician to collect data on information needs, attitudes, and previous experience with computers. The types of information most frequently required by both faculty and housestaff were treatment recommendations and differential diagnosis. The sources of reference information most commonly used were textbooks and colleagues. The information needs of housestaff differed significantly in several categories from those of faculty physicians. Housestaff more frequently needed information for patient care (P less than 0.05), and preferred the use of textbooks (P less than 0.01) and handbooks (P less than 0.001) as information sources. Faculty more frequently needed information for activities unrelated to patient care (P less than 0.01) and placed greater importance on basic science information (P less than 0.01). When asked to suggest references for online access, the respondents named 143 journals and textbooks, with journals overwhelmingly preferred over textbooks. Only one reference, the New England Journal of Medicine, was requested by a majority of the respondents. The importance of a broad understanding of physician information needs through improved data-collection techniques is discussed as a means of increasing the use of medical information systems.

Academic Medical Centers↗

A collaborative institutional model for integrating computer applications in the medical curriculum.

The introduction and promotion of information technology in an established medical curriculum with existing academic and technical support structures poses a number of challenges. The UNC School of Medicine has developed the Taskforce on Educational Applications in Medicine (TEAM), to coordinate this effort. TEAM works as a confederation of existing research and support units with interests in computers and education, along with a core of interested faculty with curricular responsibilities. Constituent units of the TEAM confederation include the medical center library, medical television studios, basic science teaching laboratories, educational development office, microcomputer and network support groups, academic affairs administration, and a subset of course directors and teaching faculty. Among our efforts have been the establishment of (1) a mini-grant program to support faculty initiated development and implementation of computer applications in the curriculum, (2) a symposium series with visiting speakers to acquaint faculty with current developments in medical informatics and related curricular efforts at other institution, (3) 20 computer workstations located in the multipurpose teaching labs where first and second year students do much of their academic work, (4) a demonstration center for evaluation of courseware and technologically advanced delivery systems. The student workstations provide convenient access to electronic mail, University schedules and calendars, the CoSy computer conferencing system, and several software applications integral to their courses in pathology, histology, microbiology, biochemistry, and neurobiology. The progress achieved toward the primary goal has modestly exceeded our initial expectations, while the collegiality and interest expressed toward TEAM activities in the local environment stand as empirical measures of the success of the concept.

Academic Medical Centers↗

Ambiguity resolution while mapping free text to the UMLS Metathesaurus.

We propose a method for resolving ambiguities encountered when mapping free text to the UMLS Metathesaurus. Much of the research in medical informatics involves the manipulation of free text. The Metathesaurus contains extensive information which supports solutions to problems encountered while processing such text. After discussing the process of mapping free text to the Metathesaurus and describing the ambiguities which are often the result of such mapping, we provide examples of rules designed to eliminate mapping ambiguities. These rules refer to the context in which the ambiguity occurs and crucially depend on semantic types obtained from the Metathesaurus. We have conducted a preliminary test of the methodology and the results obtained indicate that the rules successfully resolve ambiguity around 80% of the time.

Abstracting and Indexing↗

Automatic SNOMED coding.

Medical coding has become an important new industry that has originated from the field of medical informatics. Automatic coding of specimens has emerged as a way of relieving hospitals from the cost of paying professional coders and for achieving uniform coding for all specimens. Unfortunately, automatic coding, like manual coding, has numerous pitfalls. Further, the coding algorithms employed by manufacturers of automatic coders are typically proprietary. We have developed a method for automatic coding of pathology reports. Using this public domain autocoder, we have previously demonstrated that automatic SNOMED coding was superior to manual coding in several measurable categories, including the overall number of codes generated and the number of distinct code entities provided. In this report, we describe an algorithm that executes this strategy in the M-Technology environment.

Algorithms↗

Modeling the UMLS using an OODB.

The Unified Medical Language System combines many well established authoritative medical informatics terminologies in one system. Such a resource is very valuable to the healthcare industry. However, the UMLS is very large and complex and poses serious comprehension problems for users and maintenance personnel. Furthermore, the sets of concepts of semantic types are not semantically uniform and thus are difficult to study. We describe a method to represent two components of the UMLS, the Metathesaurus (META) and the Semantic Network, as an OODB. The resulting UMLS OODB schema is deeper and more refined than the Semantic Network. It offers semantically uniform classes, which improves support for comprehension and navigation of META. The UMLS OODB also exposes problems in the semantic type classifications.

Classification↗

A new task for the information literacy training by the university libraries: electronic media and computer networking.

Education and training of traditional information literacy, for librarians as well as for teachers and students, is no more adequate for current demands, even if well established and not over-sophisticated. The present electronic era in the information media and technology has not been fully adopted by all its users, although all of them acknowledge its high efficiency for learning, teaching, and research. Since the year 1993/94 the members of the Institute of Scientific Information (ISI) qualified in librarianship and medicine, prepared a course for pregraduate medical students (group A) and another one for postgraduates in biomedicine (group B). Since the year 1995/96 a course has been established for bachelor studies (C). Special courses or demonstrations corresponding to the demands of those users have been organized for teachers (group D) and for members of the ISI (group E). Group A (30 students/yr, a 4 hours course in "Medical Informatics") received theoretical and practical training in principles of bibliography oriented to searching in basic biomedical databases. Group B (60-80 st/yr, 24-28 hrs/yr in "The Craft of Science") was trained in principles of scientific communication and research data presentation incl. intensive workshops with databases. Group C (50 st/yr, 30 hrs/yr in "Scientific Information") received similar training as group B but with a more practical accentation. Group D (4 persons/yr, 20 hrs/yr) and E (15 p/yr, 30 hrs/yr) proposed their topics themselves. Besides, all the groups received intense training in Internet access. The lasting feed-back contact with the majority of participants of the above courses, mainly with researchers and postgraduate students, have confirmed the advantageousness of these ISI activities.

Computer Communication Networks↗

Using an evidence-based approach for system selection at a large academic medical center: lessons learned in selecting an ambulatory EMR at Mount Sinai Hospital.

The experience of Mount Sinai Hospital is representative of the challenges and problems facing large academic medical centers in selecting an ambulatory EMR. The facility successfully revived a stalled process in a challenging financial climate, using a framework of science and rigorous investigation. The process incorporated several innovations: 1) There was a thorough review of medical informatics literature to develop a mission statement, determine practical objectives and guide the demonstration process; 2) The process involved rigorous investigation of vendor statements, industry statements and other institution's views of vendors; 3) The initiative focused on user-centric selection, and the survey instrument was scientifically and specifically designed to assess user feedback; 4) There was scientific analysis of validated findings and survey results at all steering meetings; 5) The process included an assessment of vendors' ability to support research by identifying funded and published research; 6) Selection involved meticulous total cost of ownership analysis to assess and compare real costs of implementing a vendor solution; and finally, 7) There were iterative meetings with stakeholders, executives and users to understand needs, address concerns and communicate the vision.

Academic Medical Centers↗