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OBJECTIVE: To determine how the addition of generalist care managers and collaborative information technology to an ambulatory team affects the care of patients with diabetes. STUDY SETTING: Multiple ambulatory clinics within Intermountain Health Care (IHC), a large integrated delivery network. STUDY DESIGN: A retrospective cohort study comparing diabetic patients treated by generalist care managers with matched controls was completed. Exposure patients had one or more contacts with a care manager; controls were matched on utilization, demographics, testing, and baseline glucose control. Using role-specific information technology to support their efforts, care managers assessed patients' readiness for change, followed guidelines, and educated and motivated patients. DATA COLLECTION: Patient data collected as part of an electronic patient record were combined with care manager-created databases to assess timely testing of glycosylated hemoglobin (HbA1c) and low-density lipoprotein (LDL) levels and changes in LDL and HbA1c levels. PRINCIPAL FINDINGS: In a multivariable model, the odds of being overdue for testing for HbA1c decreased by 21 percent in the exposure group (n=1,185) versus the control group (n=4,740). The odds of being tested when overdue for HbA1c or LDL increased by 49 and 26 percent, respectively, and the odds of HbA1c <7.0 percent also increased by 19 percent in the exposure group. The average HbA1c levels decreased more in the exposure group than in the controls. The effect on LDL was not significant. CONCLUSIONS: Generalist care managers using computer-supported diabetes management helped increase adherence to guidelines for testing and control of HbA1c levels, leading to improved health status of patients with diabetes. [ABSTRACT FROM AUTHOR]

The enhanced availability of health information in an electronic format is strategic for industry-wide efforts to improve the quality and reduce the cost of health care, yet it brings a concomitant concern of greater risk for loss of privacy among health care participants. The authors review the conflicting goals of accessibility and security for electronic medical records and discuss nontechnical and technical aspects that constitute a reasonable security solution. It is argued that with guiding policy and current technology, an electronic medical record may offer better security than a traditional paper record. [ABSTRACT FROM AUTHOR]

Clinical computing application development at Columbia-Presbyterian Medical Center has been limited by the lack of a flexible programming environment that supports multiple client user platforms. The World Wide Web offers a potential solution, with its multifunction servers, multiplatform clients, and use of standard protocols for displaying information. The authors are now using the Web, coupled with their own local clinical data server and vocabulary server, to carry out rapid prototype development of clinical information systems. They have developed one such prototype system that can be run on most popular computing platforms from anywhere on the Internet. The Web paradigm allows easy integration of clinical information with other local and Internet-based information sources. The Web also simplifies many aspects of application design; for example, it includes facilities for the use of encryption to meet the authors' security and confidentiality requirements. The prototype currently runs on only the Web server in the Department of Medical Informatics at Columbia University, but it could be run on other Web servers that access the authors' clinical data and vocabulary servers. It could also be adapted to access clinical information from other systems with similar server capabilities. This approach may be adaptable for use in developing institution-independent standards for data and application sharing. [ABSTRACT FROM AUTHOR]

Objective: With the advent of hospital payment by diagnosis-related group (DRG), length of stay (LOS) has become a major issue in hospital efforts to control costs. Because the Columbia-Presbyterian Medical Center (CPMC) has had above-average LOSs for many DRGs, the authors tested the hypothesis that a computer-generated informational message directed to physicians would shorten LOS.Design: Randomized clinical trial with the patient as the unit of randomization.Setting and Study Population: From June 1991 to April 1993, at CPMC in New York, 7,109 patient admissions were randomly assigned to an intervention (informational message) group and 6,990 to a control (no message) group.Intervention: A message giving the average LOS for the patient's admission or provisional DRG, as assigned by hospital utilization review, and the current LOS, in days, was included in the main menu for review of test results in the hospital's clinical information system, available at all nursing stations in the hospital.Main Outcome Measure: Hospital LOS.Results: The median LOS for study patients was 7 days. After adjustment for covariates including age, sex, payor, patient care unit, and time trends, the mean LOS in the intervention group was 3.2% shorter than that in the control group (p = 0.022).Conclusion: Computer-generated patient-specific LOS information directed to physicians was associated with a reduction in hospital LOS. [ABSTRACT FROM AUTHOR]

Deceased donor kidneys are a scarce community resource; therefore, the principles underpinning organ allocation should reflect societal values. This study aimed to elicit community and healthcare professional preferences for principles guiding the allocation of kidneys from deceased donors and compare how these differed across the populations. A best-worst scaling survey including 29 principles in a balanced incomplete block design was conducted among a representative sample of the general community (n = 1237) and healthcare professionals working in transplantation (n = 206). Sequential best-worst multinomial logistic regression was used to derive scaled preference scores (PS) (range 0-100). Thematic analysis of free text responses was performed. Five of the six most valued principles among members of the community related to equity, including priority for the longest waiting (PS 100), difficult to transplant (PS 94.5) and sickest (PS 93.9), and equitable access for men and women (PS 94.0), whereas the top four principles for healthcare professional focused on maximizing utility (PS 89.9-100). Latent class analysis identified unmeasured class membership among community members. There are discordant views between community members and healthcare professionals. These should be considered in the design, evaluation, and implementation of deceased donor kidney allocation protocols., (© 2021 The American Society of Transplantation and the American Society of Transplant Surgeons.)

In 2016, Australia began reporting the Kidney Donor Performance Index (KDPI) with all deceased donor kidney transplant offers despite this not being used in organ allocation rules, offering a unique opportunity to explore the "labeling effect" of KDPI reporting. We reviewed all kidneys retrieved for transplant in Australia from 2015 to 2018 and analyzed the association of KDPI reporting with organ nonutilization, number of offer declines, and donor/recipient age and longevity matching. Analyses were stratified by organ failure risk: higher risk (KDPI > 80%), standard risk (KDPI 20% to 79%), and lower risk (KDPI 0% to 20%). There was no significant difference in organ nonutilization post KDPI reporting either overall or for higher-risk kidneys. KDPI reporting was associated with an increase in offer declines for both higher-risk (incidence risk ratio 1.45, P = .007) and standard-risk (incidence risk ratio 1.22, P = .021) kidneys but not for lower-risk organs. There was a significant increase in recipient age and expected posttransplant survival score for higher-risk kidneys but no differences among other groups. We conclude that although KDPI reporting in Australia has been associated with an increased number of offer declines for higher-risk kidneys, this has not resulted in increased nonutilization and may have contributed to more appropriate use of these organs., (© 2019 The American Society of Transplantation and the American Society of Transplant Surgeons.)

The Arden Syntax originated in the 1980's, when several knowledge-based systems began to show promise, but researchers recognized the burden of recreating these systems at every institution. Derived initially from Health Evaluation through Logical Processing (HELP) and the Regenstrief Medical Record System (RMRS), the Arden Syntax defines medical logic that can be encoded as independent rules, such as reminders and alerts, with the hope of creating a public library of rules. It was first vetted at an informatics retreat held in 1989 at Columbia University's Arden Homestead. The syntax was intended to be readable by clinician experts but to provide powerful array processing, which was derived largely a programming language called APL. The syntax was improved and implemented by a number of researchers and vendors in the early 1990's and was initially adopted by the consensus standards organization, the American Society for Testing and Materials., (Copyright © 2015 Elsevier B.V. All rights reserved.)

Objectives: To investigate whether health-related quality-of-life (HRQoL) scores in a primary care population can be used as a predictor of future hospital utilization and mortality., Design: Prospective cohort study measuring Short Form 12 (SF-12) scores obtained using a mailed survey. SF-12 scores, age, and a comorbidity score were used to predict hospitalization and mortality rate using multivariable logistic regression and Cox proportional hazards during the ensuing 28-month period for elderly patients., Setting: Intermountain Health Care, a large integrated-delivery network serving a population of more than 150,000 seniors., Participants: Participants were senior patients who had one or more chronic diseases, were community dwelling, and were initially treated in primary care clinics., Measurements: SF-12 survey Version 1., Results: Seven thousand seventy-six surveys were sent to eligible participants; 3,042 (43%) were returned. Of the returned surveys, 2,166 (71%) were complete and scoreable. For the respondent group, a multivariable analysis demonstrated that older age, male sex, higher comorbidity score, and lower mental and physical summary measures of SF-12 predicted higher mortality and hospitalization. On average, nonresponders were older and had higher comorbidity scores and mortality rates than responders., Conclusion: The SF-12 survey provided additional predictive ability for future hospitalizations and mortality. Such predictive ability might facilitate preemptive interventions that would change the course of disease in this segment of the population. However, nonresponder bias may limit the utility of mailed SF-12 surveys in certain populations.

Management of chronic disease is performed inadequately in the United States in spite of the availability of beneficial, effective therapies. Successful programs to manage patients with these diseases must overcome multiple challenges, including the recognized fragmentation and complexity of the healthcare system, misaligned incentives, a focus on acute problems, and a lack of team-based care. In many successful programs, care is provided in settings or episodes that focus on a single disease. While these programs may allow for streamlined, focused provision of care, comprehensive care for multiple diseases may be more difficult. At Intermountain Healthcare (Intermountain), a generalist model of chronic disease management was formulated to overcome the limitations associated with specialization. In the Intermountain approach, which reflects elements of the Chronic Care Model (CCM), care managers located within multipayer primary care clinics collaborate with physicians, patients, and other members of a primary care team to improve patient outcomes for a variety of conditions. An important part of the intervention is widespread use of an electronic health record (EHR). This EHR provides flexible access to clinical data, individualized decision support designed to encourage best practice for patients with a variety of diseases (including co-occurring ones), and convenient communication between providers. This generalized model is used to treat diverse patients with disparate and coexisting chronic conditions. Early results from the application of this model show improved patient outcomes and improved physician productivity. Success factors, challenges, and obstacles in implementing the model are discussed.

"Infobuttons" have been proposed as a potential solution for lowering access barriers to on-line information resources at the point-of-care. At Intermountain Healthcare, infobuttons have been available to clinicians for over 4 years. The current implementation of infobuttons is based on a software component called "E-resources Manager,' allowing new infobuttons to be configured without requiring any programming. Infobuttons are implemented in the problem list, laboratory results, and medication order entry modules of HELP2, our web-based Clinical Information System. During the past four years, infobuttons were used 53,127 times by 2,611 unique users. Medication order entry infobuttons were the most commonly used. The continuous growth in use since the initial release confirms the usefulness of infobuttons. However, additional research and development is still needed before full benefits can be achieved within all our clinical systems.

Objective: To determine how the addition of generalist care managers and collaborative information technology to an ambulatory team affects the care of patients with diabetes., Study Setting: Multiple ambulatory clinics within Intermountain Health Care (IHC), a large integrated delivery network., Study Design: A retrospective cohort study comparing diabetic patients treated by generalist care managers with matched controls was completed. Exposure patients had one or more contacts with a care manager; controls were matched on utilization, demographics, testing, and baseline glucose control. Using role-specific information technology to support their efforts, care managers assessed patients' readiness for change, followed guidelines, and educated and motivated patients., Data Collection: Patient data collected as part of an electronic patient record were combined with care manager-created databases to assess timely testing of glycosylated hemoglobin (HbA1c) and low-density lipoprotein (LDL) levels and changes in LDL and HbA1c levels., Principal Findings: In a multivariable model, the odds of being overdue for testing for HbA1c decreased by 21 percent in the exposure group (n=1,185) versus the control group (n=4,740). The odds of being tested when overdue for HbA1c or LDL increased by 49 and 26 percent, respectively, and the odds of HbA1c <7.0 percent also increased by 19 percent in the exposure group. The average HbA1c levels decreased more in the exposure group than in the controls. The effect on LDL was not significant., Conclusions: Generalist care managers using computer-supported diabetes management helped increase adherence to guidelines for testing and control of HbA1c levels, leading to improved health status of patients with diabetes.

Advanced clinical information systems have been proposed to improve patient care in terms of safety, effectiveness, and efficiency. In order to be effective, such systems require detailed patient-specific clinical information in a form easily reviewed by clinicians. We have developed a patient summary worksheet for use in outpatient clinics, which presents a structured overview of patient health information. The worksheet provides patient demographic information, specific problems and conditions, the patient's current medication profile, laboratory test results pertinent to patient problems, and disease-specific or preventive care actionable advisories. Usage has grown from a few hundred to over 25,000 unique patients per month during a two-year period. Diabetic patients for whom the worksheet is accessed are significantly more likely to be in compliance with accepted testing regimens for glycosolated hemoglobin (OR 1.47, 95% CI 1.28, 1.61).

At Intermountain Health Care, we evaluated whether physicians in an ambulatory setting will voluntarily choose to enter data directly into an electronic health record (EHR). In this paper we describe the benefits of an EHR, as they exist in the current IHC application and the ways in which we have sought to minimize obstacles to physician data entry. Currently, of 472 IHC employed physicians, 321 (68%) routinely enter some data directly into the EHR without coercion. Twenty-five percent (80/321) of the physicians use voice recognition for some data entry. Twelve of our 95 ambulatory clinics have voluntarily adopted measures to eliminate paper charts. Of the 212 physicians who entered data in 2004, sixty-nine physicians (22%) increased their level of data entry, while 12 (6%) decreased. We conclude that physicians will voluntarily adopt an EHR system, and will continue and even increase use after implementation barriers are addressed.

Objectives: To discuss the advantages and disadvantages of an interfaced approach to clinical information systems architecture., Methods: After many years of internally building almost all components of a hospital clinical information system (HELP) at Intermountain Health Care, we changed our architectural approach as we chose to encompass ambulatory as well as acute care. We now seek to interface applications from a variety of sources (including some that we build ourselves) to a clinical data repository that contains a longitudinal electronic patient record., Results: We have a total of 820 instances of interfaces to 51 different applications. We process nearly 2 million transactions per day via our interface engine and feel that the reliability of the approach is acceptable. Interface costs constitute about four percent of our total information systems budget. The clinical database currently contains records for 1.45 m patients and the response time for a query is 0.19 sec., Discussion: Based upon our experience with both integrated (monolithic) and interfaced approaches, we conclude that for those with the expertise and resources to do so, the interfaced approach offers an attractive alternative to systems provided by a single vendor. We expect the advantages of this approach to increase as the costs of interfaces are reduced in the future as standards for vocabulary and messaging become increasingly mature and functional.

Intermountain Health Care has integrated the electronic medical record (EMR) with online information resources in order to create easy access to a knowledge base which practicing physicians can use at the point of care. When a user is reviewing problems/diagnosis, medications, or clinical laboratory test results, they can conveniently access a "pertinent paragraph" of reference literature that pertains to the clinical data in the EMR. Using terminology first coined by Cimino1, we call this application the "infobutton." We describe the architectural issues involved in linking our electronic medical record with a structured laboratory knowledge base. The application has been well received as noted by anecdotal comments made by physicians and usage of the application.

Clinical decision support systems (CDSS) are being used increasingly in medical practice. Thus, long-term maintenance of the knowledge bases (KB) of such systems becomes important. To quantify changes that occur as a KB evolves, we studied the KB at the Columbia-Presbyterian Medical Center. This KB has a total of 229 Medical Logic Modules (MLMs) encoded in the Arden Syntax. Eliminating those never used in practice, we retrospectively analyzed 156 MLMs developed over 78 months. We noted 2020 distinct versions of these MLMs that included 5528 changed statements over time. These changes occurred primarily in the logic slot (38.7% of all changes), the action slot (17.8%), in queries (15.0%) and in the data slot exclusive of queries (12.4%). We conclude that long-term maintenance of a KB for a CDSS requires significant changes over time. We discuss the implications of these results for the design of KB editors for the Arden Syntax.

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.

One of every four children in the USA is underimmunized. Surveys of children in New York City have documented rates of appropriate immunization as low as 37% in certain populations in northern Manhattan. In response to this, government and private agencies have undertaken efforts to improve immunization rates. As part of one such multiinstitution effort in northern Manhattan, we have begun implementation of a computer-based immunization registry. Key features of this registry system include adaptation of legacy software in order to perform initial capture of data in electronic format; design of a user interface using a World Wide Web server that provides data review and capture functions with appropriate security; implementation of a registry database with links to the server, communication links between hospital registration systems, a Master Patient Index, community providers and the central registry; and integration of decision support in the form of Medical Logic Modules encoded in the Arden Syntax. We discuss our design of this multi-institution immunization registry and implementation efforts to date.

The Washington Heights-Inwood Community Health Management Information System (WHICHIS) at the Columbia-Presbyterian Medical Center (CPMC) provides 15 community physician practices with seamless networking to the CPMC Wide-Area Network. The costs and benefits of the project were evaluated. Installation costs, including hardware, office management software, cabling, network routers, ISDN connection and personnel time, averaged $22,902 per office. Maintenance and support costs averaged $6,293 per office per year. These costs represent a "best-case" scenario after a several year learning curve. Participating physicians were interviewed to assess the impact of the project. Access to the CPMC Clinical Information System (CIS) was used by 87%. Other resource usage was: non-CPMC Web-based resources, 80%; computer billing, 73%; Medline and drug information databases, 67%; and, electronic mail, 60%. The most valued feature of the system was access to the CPMC CIS. The second most important was the automatic connection provided by routed ISDN. Frequency of access to the CIS averaged 6.67 days/month. Physicians reported that the system had significantly improved their practice of medicine. We are currently exploring less expensive options to provide this functionality.

It has long been realized that, compared to paper-based records, electronic record systems provide many advantages in the healthcare environment, including increased availability, improved legibility, long-term accessibility, (potentially) greater completeness, data encoding, and automated decision support and analysis. In spite of these recognized benefits, collection of patient data at the point of service generally does not occur, in large part because each such effort usually requires application-specific software and hardware, and, most significantly, provider time. Given the presence of WWW browsers now available on nearly every desktop, the support and access concerns for data entry applications can be substantially lessened. Despite these advantages, there are also downsides to the use of the WWW for data entry, including user interface issues and security. At CPMC, we are currently using web-based forms to gather patient charge data from physical and occupational therapists. Benefits of this approach have included a 98.2% user compliance rate for at least weekly data entry, and the reduction of charge posting from an average of 24.3 days to 2.3 days following the date of service. Drawbacks to WWW-based applications have included increased security exposure and persistent human tendencies to enter data in batches rather than at the time of service. A final conclusion was that, in the absence of a strong central mandate, providers must perceive a clear benefit in order to be willing to learn and use a new technology.

Community Health Information Networks (CHINs) require the ability to provide computer network connections to many remote sites. During the implementation of the Washington Heights and Inwood Community Health Management Information System (WHICHIS) at the Columbia-Presbyterian Medical Center (CPMC), a number of remote connectivity issues have been encountered. Both technical and non-technical issues were significant during the installation. We developed a work-flow model for this process which may be helpful to any health care institution attempting to provide seamless remote connectivity. This model is presented and implementation lessons are discussed.

The issues and implementation of a clinical event monitor are described. An event monitor generates messages for providers, patients, and organizations based on clinical events and patient data. For example, an order for a medication might trigger the generation of a warning about a drug interaction. A model based on the active database literature has as its main components an event (which triggers a rule to fire), a condition (which tests whether an action ought to be performed), and an action (often the generation of a message). The details of implementing such a monitor are described, using as an example the Columbia-Presbyterian Medical Center clinical event monitor, which is based on the Arden Syntax for Medical Logic Modules.

In summary, security concerns surrounding health data are justified, but solutions are surmountable with currently available technologies. Whether systems are paper or electronic, human factors such as errors, negligence and unethical activities can result in breaches of confidentiality, despite optimal implementations. Neither automated teller machines (ATMs) nor EMRs are free from instances of abuse, but policies and protocols for electronic systems can be implemented that may provide better security than analogous paper record systems.

The role of a clinical workstation is examined as an integral part of a larger, clinical information delivery and acquisition system. Different care scenarios and environmental factors influence the behavior of a workstation. The common functional components of a workstation are information resources, application logic and presentation. A workstation is successful when each of its components operates within an information architecture and contributes to meet user needs. New technologies to integrate and display information are making the workstation functions independent of the actual hardware and software platform.

An automated environment for implementing and monitoring care plans and practice guidelines is very important to the reduction of hospital costs and optimization of medical care. The goal of our research effort is to design a general system architecture that facilitates the implementation of (potentially) numerous care plans. Our approach is unique in that we apply the principles and technologies of Oz a multi-user collaborative workflow system that has been used as a software engineering environment framework, to hospital care planning. We utilize not only the workflow modeling and execution facilities of Oz, but also its open-system architecture to interface it with the World Wide Web, the Medical Logic Module server, and other components of the clinical information system. Our initial proof-of-concept system, OzCare, is constructed on top of the existing Oz system. Through several experiments in which we used this system to implement some Columbia-Presbyterian Medical Center care plans, we demonstrated that our system is capable and flexible for care plan automation.

For three decades (1960-1990) the primary use of computers in hospitals' in the U.S. was to ease the task of reimbursement for care rendered and to automate results reporting for high-volume, time-critical tests such as clinical laboratory procedures. Hospitals were regarded as independent organizations/revenue centers which could pass costs to third party payers. Beginning in the mid-eighties, U.S. hospitals were no longer reimbursed on a fee-for-service basis for many patients, but received a fixed payment regardless of the actual cost of treating a patient. The size of the payment depended upon the patients' type of illness (Diagnostically related group). This approach gave hospitals incentives to reduce costs, but did not foster a fully competitive environment. Now, in the mid-nineties, hospitals in the U.S. are seen as cost centers in an integrated health care delivery system. Within this environment, a longitudinal patient record is necessary to increase levels of communication between healthcare providers. While certain management functions remain hospital-centered, clinical information systems must now cover a spectrum of patient activities within the ambulatory and inpatient arena. Several of the leading healthcare providers use computer-based logic to alert care givers whenever standards of care are not being achieved. These institutions feel that such capability will be the real impetus to reduce cost and improve the quality of care. Based upon observations over four decades, it appears that economic considerations play the major role in determining which kinds of information systems are deployed in the healthcare arena.

Objective: To evaluate the automated detection of clinical conditions described in narrative reports., Design: Automated methods and human experts detected the presence or absence of six clinical conditions in 200 admission chest radiograph reports., Study Subjects: A computerized, general-purpose natural language processor; 6 internists; 6 radiologists; 6 lay persons; and 3 other computer methods., Main Outcome Measures: Intersubject disagreement was quantified by "distance" (the average number of clinical conditions per report on which two subjects disagreed) and by sensitivity and specificity with respect to the physicians., Results: Using a majority vote, physicians detected 101 conditions in the 200 reports (0.51 per report); the most common condition was acute bacterial pneumonia (prevalence, 0.14), and the least common was chronic obstructive pulmonary disease (prevalence, 0.03). Pairs of physicians disagreed on the presence of at least 1 condition for an average of 20% of reports. The average intersubject distance among physicians was 0.24 (95% Cl, 0.19 to 0.29) out of a maximum possible distance of 6. No physician had a significantly greater distance than the average. The average distance of the natural language processor from the physicians was 0.26 (Cl, 0.21 to 0.32; not significantly greater than the average among physicians). Lay persons and alternative computer methods had significantly greater distance from the physicians (all > 0.5). The natural language processor had a sensitivity of 81% (Cl, 73% to 87%) and a specificity of 98% (Cl, 97% to 99%); physicians had an average sensitivity of 85% and an average specificity of 98%., Conclusions: Physicians disagreed on the interpretation of narrative reports, but this was not caused by outlier physicians or a consistent difference in the way internists and radiologists read reports. The natural language processor was not distinguishable from the physicians and was superior to all other comparison subjects. Although the domain of this study was restricted (six clinical conditions in chest radiographs), natural language processing seems to have the potential to extract clinical information from narrative reports in a manner that will support automated decision-support and clinical research.

To address the recognized problems associated with information overload and limited human memory, computer-based systems which help healthcare providers use information to make better decisions have been developed and implemented. These decision aids are designed to improve the quality and reduce the cost of healthcare. Currently, the most widely used computer application is to simply provide needed facts about the patient in an organized and timely fashion. Additionally, healthcare workers can access literature, ask questions of aggregates of patient data for clinical or administrative decisions, receive warnings or suggestions when the patient's data satisfy certain logical rules receive critiques when proposing therapies or ordering diagnostic tests, receive guidelines for standards of care, access programs which analyze tradeoffs and likelihoods of alternative outcomes (decision analysis) and receive lists of differential diagnoses. Given this wonderful panoply of capabilities, the question becomes 'why aren't more people using these aids and what are the demonstrated benefits of such capabilities?' In this paper we review the types of decision aids which have been successfully implemented and the challenges to implementation (knowledge representation, connections to databases, need for comprehensive, coded databases and evaluation of benefits).

The clinical computing environment at Columbia-Presbyterian Medical Center is organized around a centralized database of coded patient information collected from various ancillary sources. The Medical Entities Dictionary (MED) is the central repository for the controlled vocabulary used to encode the patient data. The MED is composed of terms used in the ancillary departments and, as such, changes in the source vocabularies must be maintained in the MED. The MED also contains some basic knowledge about the terms, and sophisticated maintenance tools have been developed that take advantage of this knowledge. This paper describes the success of the knowledge-based approach by describing the techniques used in two tasks: addition of a new vocabulary and maintenance of an existing one.

The Department of Medical Informatics at Columbia University College of Physicians and Surgeons consists of a faculty of 17 full- and part-time faculty. The Department faculty collaborate with the Department of Computer Science and several clinical departments of the medical center. We offer courses in medical informatics, formal degrees (M.A., M.Phil. and Ph.D.) and a postdoctoral training program. In addition to academic offerings, the close affiliation with the Columbia-Presbyterian Medical Center and the primary responsibilities for clinical information systems offers trainees unique opportunities to work with and develop real-world applications. Faculty research programs include work on the Integrated Advanced Information Management System (IAIMS), Unified Medical Language System (UMLS), High-Performance Computing and Communications (HPCC), Electronic Medical Records, automated decision support and technology transfer through the Center for Advanced Technology.

We began implementation of a medical decision support system (MDSS) at the Columbia-Presbyterian Medical Center (CPMC) using the Arden Syntax in 1992. The Clinical Event Monitor which executes the Medical Logic Modules (MLMs) runs on a mainframe computer. Data are stored in a relational database and accessed via PL/I programs known as Data Access Modules (DAMs). Currently we have 18 clinical, 12 research and 10 administrative MLMs. On average, the clinical MLMs generate 50357 simple interpretations of laboratory data and 1080 alerts each month. The number of alerts actually read varies by subject of the MLM from 32.4% to 73.5%. Most simple interpretations are not read at all. A significant problem of MLMs is maintenance, and changes in laboratory testing and message output can impair MLM execution significantly. We are now using relational database technology and coded MLM output to study the process outcome of our MDSS.

IAIMS (Integrated Advanced Information Management Systems) is an initiative to improve the access to information needed to provide patient care, health-oriented education, biomedical research, and management of large medical center environments. This paper will review the goals, history, and accomplishments of the IAIMS initiative. Shortcomings and frustrations, lessons learned, and the future of such initiatives will also be discussed.

The Arden Syntax for medical logic modules (Arden) was used to test the feasibility of encoding large, complex care plans. The critical portions of an existing paper-based care plan for the management of patients following coronary artery bypass graft (CABG) surgery were encoded in Arden and an X-windows user-interface was developed. The Arden Syntax proved adequate for encoding all of the necessary functions of the care plan. The limitations of the current Arden Syntax and possible additions to Arden are discussed.

The Arden Syntax, a language designed for writing and sharing task-specific knowledge for Medical Logic Modules (MLMs), has been recently accepted as a standard by the ASTM. The syntax is concerned with the critical task of sharing medical knowledge bases across many institutions. Because of the relative lack of agreement on vocabularies and data standards and because of the many other obstacles, the developers of the Arden Syntax took a pragmatic, straightforward approach that has borne fruit in a very short period of time. The syntax provides a vehicle for the health care community to begin sharing, so that we can see what works and what does not work, and we can begin to address the critical obstacles. In designing a language like the Arden Syntax, the authors make many decisions--but the final document gives only the result of these decisions without any explanation. By writing down the rationale behind the design of the syntax, we hope to aid users of the language, implementors of the language, and future designers of new languages.

We have mapped clinically used diagnostic terms from a legacy ambulatory care system to the separate controlled vocabulary of our central clinical information system. The methodology combines elements of lexical and morphologic text matching techniques, followed by manual physician review. Results of the automated matching algorithm before and after partial manual review are presented. The results of this effort will permit the migration of coded clinical data from one system to another. Output from the system after the term review process will be fed back to the target vocabulary via automated and semi-automated means to improve its clinical utility.

Objective: Develop a knowledge-based representation for a controlled terminology of clinical information to facilitate creation, maintenance, and use of the terminology., Design: The Medical Entities Dictionary (MED) is a semantic network, based on the Unified Medical Language System (UMLS), with a directed acyclic graph to represent multiple hierarchies. Terms from four hospital systems (laboratory, electrocardiography, medical records coding, and pharmacy) were added as nodes in the network. Additional knowledge about terms, added as semantic links, was used to assist in integration, harmonization, and automated classification of disparate terminologies., Results: The MED contains 32,767 terms and is in active clinical use. Automated classification was successfully applied to terms for laboratory specimens, laboratory tests, and medications. One benefit of the approach has been the automated inclusion of medications into multiple pharmacologic and allergenic classes that were not present in the pharmacy system. Another benefit has been the reduction of maintenance efforts by 90%., Conclusion: The MED is a hybrid of terminology and knowledge. It provides domain coverage, synonymy, consistency of views, explicit relationships, and multiple classification while preventing redundancy, ambiguity (homonymy) and misclassification.

The Integrated Academic Information Management System (IAIMS) concept is about sharing resources and information, and about improving the decision-making ability of health care professionals by integrating information. At Columbia-Presbyterian Medical Center, the IAIMS project has established an information architecture based on common, shared computing and networking resources. The institutional computing culture has been changed with increased sharing of information and, consequently, improved quality of information. Several classes of information in the areas of clinical, scholarly, administrative, basic research, and core resources have been identified for better understanding of information responsibility. Technical problems such as heterogeneity on workstation platforms and lack of universal syntactic and semantic standards for health care information exchange still impede inter-institutional sharing of information.

Columbia-Presbyterian Medical Center's health care providers have access to alerts and interpretations generated by an Arden Syntax-based clinical event monitor. They have the opportunity to send comments to the clinical information services staff. Over a period of 26 months, they sent 126 comments. The comments were analyzed using the critical incident technique, resulting in a hierarchy of categories that summarizes user concerns. The majority of comments (65) indicated that the messages were actually (8) or at least potentially useful (57). A minority (28) indicated that they were unhelpful (27) or actually harmful (1). Another group (27) made suggestions or asked questions. The comments have been very helpful for the maintenance of Medical Logic Modules (MLMs) and the clinical event monitor itself.

For the foreseeable future, controlled medical vocabularies will be in a constant state of development, expansion and refinement. Changes in controlled vocabularies must be reconciled with historical patient information which is coded using those vocabularies and stored in clinical databases. This paper explores the kinds of changes that can occur in controlled vocabularies, including adding terms (simple additions, refinements, redundancy and disambiguation), deleting terms, changing terms (major and minor name changes), and other special situations (obsolescence, discovering redundancy, and precoordination). Examples are drawn from actual changes appearing in the 1993 update to the International Classification of Diseases (ICD9-CM). The methods being used at Columbia-Presbyterian Medical Center to reconcile its Medical Entities Dictionary and its clinical database are discussed.

The overall design of the CIS at CPMC is heavily influenced by the decision support component. The type of automated decision support being implemented dictates the need for highly structured or coded data. The value of decision support systems has been well documented. The current reliance on free-text documents is natural and a rewarding first step to a more valuable mix of coded and free text. While the health care provider might find the textual comments of the various reports extremely useful, the capability of an automated system to vigilantly review every data element for trends and anomalies is becoming invaluable in today's ever more complex health care delivery environment. Other approaches such as optical imaging systems would facilitate human decision support, but do not supply data in a format that can be processed by automated decision support systems. The developers of the CIS at CPMC believe that data are most valuable when available for both human and automated decision support.