Electronic parenteral and enteral nutrition

A nutrition support service web application to manage patients receiving parenteral nutrition

Parenteral nutrition (PN) is a complex therapy that requires expertise and experience to avoid errors in prescribing and management. Because of care coordination issues, one medical center has developed and implemented a Web-based application to manage PN patients. PN orders have already been programmed into the physician order entry system, but the nutrition support service (NSS) consult and daily PN management have been performed using paper forms. The Web system is developed for ease of use by clinicians and accessibility at any computer within the medical center. The database consists of 12 tables interrelated by the patient medical record number, admission number, or location. The NSS consult is the main table used to navigate to the other tables. Update of the laboratory and PN formula table must be done through the consult table. The system is compliant with the Health Insurance Portability and Accountability Act guidelines, and has been developed so that the forms that are required to be placed in the patient's permanent record can be printed. Demographic information and laboratory data are automatically populated via a link to the medical center's medication management system. At present, there are 1393 patients in the database and 21,000 pages are viewed each month during daily PN management by clinicians. Data can be easily retrieved for management reports. Data elements can be exported directly from the database to worksheets. This function has been used for projects designed to improve the efficiency of this PN system.

The development and implementation of a software tool and its effect on the quality of provided clinical nutritional therapy in hospitalized patients

The authors developed "DIET", a computerized system preparing dietary prescriptions in clinical settings. "DIET" has the ability to calculate the nutritional requirements and to produce daily menus of patients automatically. Also, it serves as an electronic medical and dietetic record and it can produce daily reports regarding portions, quantities and cost of meals. The authors also conducted a preliminary evaluation of the system by comparing the design of nutritional plans for 135 patients using "DIET" versus the customary manual methods. Its use resulted in a decrease of the error percentages, concerning appropriate food choices, data recording and calculations of daily nutrient requirements; from 12% to 1.5%. Additionally, there was a reduction by 50% of the time required to obtain and process data as well as design a patient's menu. "DIET" implementation resulted in error decrease and thus in improvement of menu planning, accuracy and recovery of data and decreased the time spent on menu planning.

Development of a software tool for computation of parenteral nutrition in adults, and its potential role in improving nutritional care

The detailed development of a computer program for management of parenteral nutrition (PN) in adults is described. Strengths and weaknesses are mentioned. By using the software, individualized PN prescriptions based on patient age, weight, sex, and clinical condition can be determined and available formulations can be automatically selected from incorporated databases. Automated PN management potentially enhances our ability to provide nutritional support with greater accuracy and precision and reduces the time required for writing and calculations. Day-to-day changes may also be monitored rapidly, simply, and safely.

Computer Assisted Total Parenteral Nutrition for Pre-term and Sick Term Neonates

INTRODUCTION

Over the past few years, the use of total parenteral nutrition (TPN) has been established for pre-term and sick term neonates. At 'IASO' Hospital, a series of protocols implemented through the use of a computer programme has been developed to assist in the time consuming task of prescribing and preparing TPN in neonates. The algorithms used for neonates of a different gestational age are based on the protocols created through screening of literature and personal experience. This is important because it heralds a uniformity of the prescription of TPN at IASO and other hospitals where these protocols have been implemented.

OBJECTIVE

The objective is to determine the extent of error occurrence of the manual method as opposed to the new computerized procedure of TPN formulation, and to assess the immediate benefits stemming from the computer programme's use, in terms of personnel time reduction. Furthermore, the usefulness of the automated compounder in the computer driven process of TPN solution formulation was also assessed.

SETTING

Gynaecology Hospital 'IASO'.

METHOD

For a period of 6 months, sick and prematurely born babies were included in the study. Calculations regarding the composition of TPN solutions were conducted both by computer and manually.

MAIN OUTCOME MEASURE

The time needed to complete the procedure and the results' accuracy were measured and compared.

RESULTS

Implementation of the protocols into practice via this computer programme has been found to reduce the time spent by the physician and the pharmacist on TPN solution preparation, but the most important contribution is the virtual elimination (no errors in computerized calculation) of errors in the complex task of prescribing and formulating TPN solutions. For example, the average time taken to prepare the individual TPN solutions was 5.2 min while the computerized procedure took 15.4 min.

CONCLUSION

Use of this system can optimize pharmacists' and physicians' work and help prevent prescription and preparation errors.

Use of a systematic risk analysis method to improve safety in the production of paediatric parenteral nutrition solutions

BACKGROUND

Until recently, the preparation of paediatric parenteral nutrition formulations in our institution included re-transcription and manual compounding of the mixture. Although no significant clinical problems have occurred, re-engineering of this high risk activity was undertaken to improve its safety. Several changes have been implemented including new prescription software, direct recording on a server, automatic printing of the labels, and creation of a file used to pilot a BAXA MM 12 automatic compounder. The objectives of this study were to compare the risks associated with the old and new processes, to quantify the improved safety with the new process, and to identify the major residual risks.

METHODS

A failure modes, effects, and criticality analysis (FMECA) was performed by a multidisciplinary team. A cause-effect diagram was built, the failure modes were defined, and the criticality index (CI) was determined for each of them on the basis of the likelihood of occurrence, the severity of the potential effect, and the detection probability. The CIs for each failure mode were compared for the old and new processes and the risk reduction was quantified.

RESULTS

The sum of the CIs of all 18 identified failure modes was 3415 for the old process and 1397 for the new (reduction of 59%). The new process reduced the CIs of the different failure modes by a mean factor of 7. The CI was smaller with the new process for 15 failure modes, unchanged for two, and slightly increased for one. The greatest reduction (by a factor of 36) concerned re-transcription errors, followed by readability problems (by a factor of 30) and chemical cross contamination (by a factor of 10). The most critical steps in the new process were labelling mistakes (CI 315, maximum 810), failure to detect a dosage or product mistake (CI 288), failure to detect a typing error during the prescription (CI 175), and microbial contamination (CI 126).

CONCLUSIONS

Modification of the process resulted in a significant risk reduction as shown by risk analysis. Residual failure opportunities were also quantified, allowing additional actions to be taken to reduce the risk of labelling mistakes. This study illustrates the usefulness of prospective risk analysis methods in healthcare processes. More systematic use of risk analysis is needed to guide continuous safety improvement of high risk activities.

Glucose in parenteral nutrition: a survey of U.S. medical centers

BACKGROUND

A previous report suggested that glucose administration in total parenteral nutrition (TPN) should not exceed 4 mg/kg/min with a respiratory quotient (RQ) >1.0. This rate would not be exceeded, in most patients, with a TPN glucose concentration of 15%. Our previous survey of hospitals, 7 years ago, of TPN composition revealed use of excessive glucose. Our purpose was to reevaluate glucose usage in TPN.

METHODS

A subset of data from 45 hospitals participating in Novation's Medication Use Evaluation program, "Parenteral Nutrition for Adults and Neonates" study, was analyzed to document glucose administration in TPN.

RESULTS

Data of 629 adult patients from 44 hospitals receiving TPN were analyzed. Of these, 30 hospitals with 478 patients had 100 patients (15.9% of the total) with TPN glucose infusion rates >4 mg/kg/min, whereas 27 hospitals, or 61%, had average TPN glucose concentrations above 15%. This could be associated with an RQ >1.0, implying increased net lipogenesis.

CONCLUSIONS

The majority of hospitals surveyed were found, as in a previous survey, to be using amounts of glucose in TPN which would be expected to be associated with an RQ >1.0, implying increased net lipogenesis.

Development and evaluation of VIE-PNN, a knowledge-based system for calculating the parenteral nutrition of newborn infants

Calculating the daily changing composition of parenteral nutrition for small newborn infants is troublesome and time consuming routine work in neonatal intensive care. The task needs expertise and experience and is prone to inherent calculation errors. We designed VIE-PNN (Vienna Expert System for Parenteral Nutrition of Neonates), a knowledge-based system (KBS) in order to reduce daily routine work and calculation errors. VIE-PNN was redesigned several times because the clinicians accepted the system only when it saved time. The most recent version of VIE-PNN uses an Hypertext Markup Language (HTML)-based client-server architecture and is integrated into the intranet of the local patient data management system. Since more than 3 years all parenteral nutrition plans are calculated using VIE-PNN. Evaluating the system's performance and the users contentedness, we compared 50 nutrition plans calculated in parallel using VIE-PNN or a hand-held calculator, retrospectively analyzed more than 5000 nutrition plans stored in VIE-PNNs database and evaluated a user questionnaire. Nutrition plans were calculated in a mean time of 2.4 versus 7.1min using VIE-PNN or the hand-held calculator. Errors and omissions in the nutrition plans were detected in 22% versus 56% and errors in the VIE-PNN's plans occurring only with interactively changed values. Reviews of stored plans show that a mean of 4 out of 16 parameters were interactively changed. VIE-PNN was well accepted. Most important reasons for the successful operation of VIE-PNN in the daily routine work were time savings and robustness of the system.