Computer-generated informational messages directed to physicians: effect on length of hospital stay.

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.

Medical decision support: experience with implementing the Arden Syntax at the Columbia-Presbyterian Medical Center.

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 and sharing.

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.

Full-text document storage and retrieval in a clinical information system.

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.

Using the UMLS to bring the library to the bedside.

This paper presents an algorithm that can be used to convert ICD9 terms to related MeSH terms. Preliminary evaluation indicates that together, the algorithm and the UMLS provide a reasonable resource for facilitating such conversions.

Quality assurance in a fine-needle aspiration biopsy service.

Fine-needle aspiration biopsy (FNAB) is an increasingly popular tool for the evaluation of a variety of palpable and nonpalpable masses. Its acceptance has been based on its simplicity, safety, and accuracy. It is its accuracy that is crucial and that requires careful clinical and/or histologic follow-up. In order to satisfy our own department's quality assurance requirements, we developed a computer-based searching program that effectively identifies FNAB cases in which there was histologic follow-up and retrieves the necessary information to produce a meaningful quality assurance report.

Validating patient names in an integrated clinical information system.

Methods for validating patient names during the upload of clinical records are described. Exact string matching, Soundex method and a pattern matching algorithm (LCS method) are described and compared to a manual analysis of 10000 patient name pairs. In addition, the types of spelling and typographical errors that occur in patient names in the pathology database at CPMC are described. The data analysis shows that the LCS method performs better than the other techniques when compared to manual analysis.

Lymph node hemangioma.

Lymph node hemangiomas are rare lesions. There have been two previous articles on the subject in the literature. We describe another case in which a lymph node was surgically removed from the inguinal region of a 4 1/2-year-old boy, with a five-month history of a right-sided groin mass. The literature was reviewed, regarding some vasoformative benign lymph node lesions, and a general working classification of these lesions is listed, as we attempted to recognize possible patterns in reactive-proliferative processes and separate them from true neoplasms with hamartomatous features.