Monitoring outcomes with relational databases: Does it improve quality of care?

Electronic Health Record for Intensive Care based on Usual Windows Based Software

Background and objectives:

In Intensive Care Units, the amount of data to be processed for patients care, the turn over of the patients, the necessity for reliability and for review processes indicate the use of Patient Data Management Systems (PDMS) and electronic health records (EHR). To respond to the needs of an Intensive Care Unit and not to be locked with proprietary software, we developed an EHR based on usual software and components.

Methods:

The software was designed as a client–server architecture running on the Windows operating system and powered by the access data base system. The client software was developed using Visual Basic interface library. The application offers to the users the following functions: medical notes captures, observations and treatments, nursing charts with administration of medications, scoring systems for classification, and possibilities to encode medical activities for billing processes.

Results:

Since his deployment in September 2004, the EHR was used to care more than five thousands patients with the expected software reliability and facilitated data management and review processes. Communications with other medical software were not developed from the start, and are realized by the use of basic functionalities communication engine. Further upgrade of the system will include multi-platform support, use of typed language with static analysis, and configurable interface.

Conclusion:

The developed system based on usual software components was able to respond to the medical needs of the local ICU environment. The use of Windows for development allowed us to customize the software to the preexisting organization and contributed to the acceptability of the whole system.

Quality measurement at intensive care units: which indicators should we use?

OBJECTIVE

This study was conducted to develop a set of indicators that measure the quality of care in intensive care units (ICU) in Dutch hospitals and to evaluate the feasibility of the registration of these indicators.

METHODS

To define potential indicators for measuring quality, 3 steps were made. First, a literature search was carried out to obtain peer-reviewed articles from 2000 to 2005, describing process or structure indicators in intensive care, which are associated with patient outcome. Additional indicators were suggested by a panel of experts. Second, a selection of indicators was made by a panel of experts using a questionnaire and ranking in a consensus procedure. Third, a study was done for 6 months in 18 ICUs to evaluate the feasibility of using the identified quality indicators. Site visits, interviews, and written questionnaires were used to evaluate the use of indicators.

RESULTS

Sixty-two indicators were initially found, either in the literature or suggested by the members of the expert panel. From these, 12 indicators were selected by the expert panel by consensus. After the feasibility study, 11 indicators were eventually selected. "Interclinical transport," referring to a change of hospital, was dropped because of lack of reliability and support for further implementation by the participating hospitals in the study. The following structure indicators were selected: availability of intensivist (hours per day), patient-to-nurse ratio, strategy to prevent medication errors, measurement of patient/family satisfaction. Four process indicators were selected: length of ICU stay, duration of mechanical ventilation, proportion of days with all ICU beds occupied, and proportion of glucose measurement exceeding 8.0 mmol/L or lower than 2.2 mmol/L. The selected outcome indicators were as follows: standardized mortality (APACHE II), incidence of decubitus, number of unplanned extubations. The time for registration varied from less than 30 minutes to more than 1 hour per day to collect the items. Among other factors, this variation in workload was related to the availability of computerized systems to collect the data.

CONCLUSION

In this study, a set of 11 quality indicators for intensive care was defined based on literature research, expert opinion, and testing. The set gives a quick view of the quality of care in individual ICUs. The availability of a computerized data collection system is important for an acceptable workload.