Anesthesiology - QA System
Monitor
Overview
The Anesthesiology Quality Assurance (AQA) system is intended to analyze monitor
data streams, both live and stored, to identify conditions that are associated
with adverse clinical outcomes.
Medical monitors are used today in diverse clinical settings, for operating
rooms to Intensive Care Units to Emergency Rooms. In many of these settings,
multiple monitors are employed, yet data from these units are rarely combined
to determine more predictive measures. Moreover, the data are rarely captured
and associated with outcome data in a way that would identify monitor data predictors
of adverse outcomes.
The AQA project is developing a system architecture for the integration and
analysis of medical monitor data. The project leverages the development of the
Universal Medical Monitor System (UMMS), in which a diverse set of medical monitors
can be accessed through a single software interface and the monitor data can
be synchronized so that each connected monitor is generating data at exactly
the same time points.
System Architecture
EEDS is composed of the following major components:
- A database into which monitor data is stored and from which monitor data
is retrieved, at both disclosure and QA resolution. In addition, the database
contains outcome data, and supports retrieval of monitor data based on outcome
criteria.The current version of the database and persistence layer supports
some modest user queries.
- A configurable filter stream in which monitor data is processed and combined
through a set of stages. Each stage accepts an incoming data stream and passes
out a modified data stream.
- A user interface to display graphic and tabular version of the data, both
original and filtered. This module also supports the display of graphic indicators
that present the overall state of the data.
- Outcome data capture system. Outcome data is available through operating
room anesthesiology systems and though post-operative follow-up surveys. The
system does not currently include any actual outcome data.
Current Students |
Latchman Singh (2002 - 2004) |
Chrostopher Lock (2002 - 2004) |
Schuyler Lee (2003-2004) |
Current Research
In the 2003-2004 academic year, we are extending the system in the following
ways:
- Database - the database and persistence layer is being extended to support
various outcome data. In addition, storage of monitor data is being examined
to ensure that the data is compatible with the architectural approach to streams.
- Configurable filter streams - this module is in the early stages of design,
so various approaches are being examined and tested.
- User interface - a pure data display system is being expanded. This display
will present a scrollable graph along with a corresponding table of data.
Alternative displays of higher level measures will be designed, developed,
and tested.
- Outcome data capture - an associated project, the Anesthesiology record
Keeper, is being examined to incorporate the capture and export of outcome
data.
Collaboration
The system is being developed in collaboration with the Stony Brook
Health Science Center (MSRC) and Dr. Alvin Bicker.