Paul D. Clayton’s research while affiliated with Columbia University and other places

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Publications (120)


Origins of the Arden Syntax
  • Article

July 2015

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39 Reads

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11 Citations

Artificial Intelligence in Medicine

George Hripcsak

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Paul D. Clayton

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.


Use of Health-Related, Quality-of-Life Metrics to Predict Mortality and Hospitalizations in Community-Dwelling Seniors

May 2006

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92 Reads

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128 Citations

Journal of the American Geriatrics Society

David A Dorr

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Spencer S Jones

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Laurie Burns

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[...]

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Paul D Clayton

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. 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. Intermountain Health Care, a large integrated-delivery network serving a population of more than 150,000 seniors. Participants were senior patients who had one or more chronic diseases, were community dwelling, and were initially treated in primary care clinics. SF-12 survey Version 1. 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. 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.


Implementing a Multidisease Chronic Care Model in Primary Care Using People and Technology

March 2006

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126 Reads

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118 Citations

Disease management: DM

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 at Intermountain Healthcare: Utilization and Infrastructure

February 2006

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58 Reads

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33 Citations

AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

"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.


Impact of Generalist Care Managers on Patients with Diabetes

October 2005

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74 Reads

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55 Citations

Health Services Research

To determine how the addition of generalist care managers and collaborative information technology to an ambulatory team affects the care of patients with diabetes. Multiple ambulatory clinics within Intermountain Health Care (IHC), a large integrated delivery network. 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. 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. 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. 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.


Physician use of electronic medical records: Issues and successes with direct data entry and physician productivity

February 2005

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22 Reads

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50 Citations

AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

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.


Use and Impact of a Computer-Generated Patient Summary Worksheet for Primary Care

February 2005

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24 Reads

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23 Citations

AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

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).



Physicians’ Attitudes regarding Patient Access to Electronic Medical Records
  • Article
  • Full-text available

February 2003

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65 Reads

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6 Citations

AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

Prior to the implementation of Electronic Medical Record (EMR) web access for patients at a large integrated delivery systems, we surveyed physicians? attitudes. Our web based questionnaire revealed largely positive attitudes about access. The exceptions included abnormal reports, progress notes, and e-care. A factor analysis identified the group of physicians who didn?t view patients as partners felt most negative about the process.

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Building a comprehensive clinical information system from components: The approach at Intermountain Health Care

February 2003

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410 Reads

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111 Citations

Methods of Information in Medicine

To discuss the advantages and disadvantages of an interfaced approach to clinical information systems architecture. 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. 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. 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.


Citations (78)


... Many decision-support systems are able to collect data from a computerized patient database without human intervention (e.g., HELP, RMRS, and ALERTS [9]). This ability obviates the need for health care providers to re-enter data that is already stored electronically; it pemiits MLM's that check for contraindications to run in the background without disturbing a health care provider until an alert is actually generated; and it supports the triggering of MLM's without a specific request for assistance [12]. Unfortunately, since such systems lack a human being to filter queries, their MLM's must foresee every contingency for every query to the database. ...

Reference:

The Arden Syntax for Medical Logic Modules
Chapter 3.7. Data Driven Interpretation of Laboratory Results in the Context of a Medical Decision Support System
  • Citing Chapter
  • December 1989

... The medical informatics training and research environment at Columbia University has evolved considerably since we last wrote about our program for the Yearbook of Medical Informatics in 1995 [1]. In this article we provide a summary of the current state of the research and educational programs, beginning with their historical base, proceeding to the philosophical perspective on which the department is built, and closing with a discussion of the degree programs and curriculum. ...

Medical Informatics Training at Columbia University and the Columbia-Presbyterian Medical Center
  • Citing Article
  • August 1995

Yearbook of Medical Informatics

... Intermountain Healthcare, a not-for-profit, integrated care delivery system of 23 hospitals and over 185 clinics covering Utah and southern Idaho, has completed the replacement of a set of homegrown legacy systems [10][11] with the commercial Millennium EHR (Cerner Corporation, Kansas City, MO, USA). The Cerner EHR implementation used a phased approach with the introduction of the new EHR across 10 geographical regions at different points in time. ...

Building a Comprehensive Clinical Information System from Components: The Approach at Intermountain Health Care
  • Citing Article
  • January 2003

Methods of Information in Medicine

... Furthermore, to be an effective tool for first responders, information systems must function well in chaotic environments and be supported by complex computer interactions that meet dynamic and uncertain needs. By combining emerging technology with new developments in human-computer interfaces, iRevive contributes to the longstanding challenge of improving the quality of pre-hospital documentation [Clayton 2001;Kuhn and Guise 2001]. ...

The state of clinical information systems after four decades of effort
  • Citing Article
  • August 2001

Yearbook of Medical Informatics

... 138 state determined by multiple sources of data (eg, laboratory, imaging, the literature, patient trajectory, etc). Though they remain rare, we used eActions in multiple ways: as HELP system [143][144][145] embedded EHR rules or external EHR interfaced rules and as independent eActions computer applications. 24,25,27,55,[92][93][94][95][96][97][98][99][100] eActions are usually activated by EHR data, avoiding double data entry. ...

The HELP System Development Tools
  • Citing Chapter
  • January 1989

... Since no one institution will ever define a complete medical knowledge base, it will be necessary to share complementary knowledge bases among institutions. Unfortunately, there are many obstacles to sharing, including coordinating local vocabularies, setting local prior probabilities or weights, integrating existing systems that already use some form of decision-support, translating the logic for use on disparate computers systems, keeping the knowledge bases current, linking knowledge to the literature, liability, and royalties [5][6][7][8]. Work has begun along several avenues to overcome these obstacles [5]. This paper addresses a single avenue, the definition of a common syntax, called the Arden Syntax, for expressing medical knowledge. ...

Knowledge Representation and Data Model to Support Medical Knowledge Base Transportability
  • Citing Chapter
  • January 1991

... Only one article includes a formal representation of the pathway. In [8], the flow chart depicted is converted to a formal language known as the Arden Syntax [155], which is designed to express clinical decision rules as Medical Logical Modules (MLMs). Formalizing CPs in this manner is important as it facilitates their expression in a machine-readable format, hence enabling their integration into a Clinical Decision Support System (CDSS). ...

Origins of the Arden Syntax
  • Citing Article
  • July 2015

Artificial Intelligence in Medicine

... Controlled terminologies are the semantic underpinnings of clinical data and facilitate interoperability 1 , research 2 , and quality reporting 3 . These terminologies are shared knowledge assets, often designed to be used for a variety of purposes and use cases 4,5 . A value set is a grouping of codes from one or more terminologies used to express some conceptual domain 6,7 . ...

Controlled Vocabularies, Indexing and Medical Language Processing. Controlled Vocabularies: Designing an Introspective, Multipurpose, Controlled Medical Vocabulary
  • Citing Article
  • November 1989

Proceedings / the ... Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care

... Therefore, signal detection (or screening) [6][7][8][9] can play a role in a "first pass" of large databases such as the FDA's Adverse Event Reporting System (FAERS) to allow skilled humans to focus on only the very most likely causal relationships between drugs and ADRs. Several seminal works have shown that automatic algorithms for signal detection can scale to large sets of data and provide a great reduction in human workload [7,13,14] The work of [6] established a Bayesian neural network while the work of [14] used an empirical Bayesian approach. However, neither algorithm accounted explicitly for the reality that ADRs can be misreported or not reported at all. ...

Two Applications of Statistical Modelling to Natural Language Processing
  • Citing Article
  • January 1996

... Recent studies have leveraged natural language processing (NLP) tools, including MetaMap, MedLEE, and Clinical Text Analysis and Knowledge Extraction System (cTAKES), to extract valuable patient information from EMRs' clinical text [11][12][13][14]. These applications range from identifying specific medical concepts to complex analyses, such as discerning relationships between medical conditions or predicting patient outcomes and disease progression [10,[15][16][17][18][19]. ...

Natural language processing in an operational clinical information system
  • Citing Article
  • March 1995

Natural Language Engineering