A PDA based system with exception handling scheme for outpatient workflow
- Publication Type:
- Thesis
- Issue Date:
- 2008
Closed Access
Filename | Description | Size | |||
---|---|---|---|---|---|
01Front.pdf | contents and abstract | 2.25 MB | |||
02Whole.pdf | thesis | 96.2 MB |
Copyright Clearance Process
- Recently Added
- In Progress
- Closed Access
This item is closed access and not available.
NO FULL TEXT AVAILABLE. Access is restricted indefinitely. ----- Hospitals around the world are taking advantage of wireless LAN-based computing technologies in
view of their mobility, flexibility, and speed to improve the quality and reduce the cost of patient care.
The adoption of mobile technology in healthcare opened new horizons in various existing
applications of healthcare. Handheld computers have evolved into a viable platform for these
organizations to access and manage the patients' information wirelessly from any point of care. In
general, mobile health can be defined as "providing the right information to the right health care
provider about the right patient at the right time and at the right place". The potential benefits of
mobile health includes rapid access to patient information, automated data transfer to and from
medical instruments, messaging, notification, telemetry, asset location and tracking within hospital
wards. The true value of the mobile health strategy is enabling healthcare professionals to make
better quality decisions and to provide on-demand access to clinical information.
Mobile health systems are able to challenge the unique requirements of clinical information, but none
of these systems are able to address the complexity and integration of workflows in different wards.
Documents are lost, instructions are unclear, data is incomplete and information has to be retrieved
explicitly. However, among these limitations, our research focuses on three crucial factors that hinder
the deployment of handheld technology in healthcare. The first factor is the lack of efficient
communication between the client and server applications due to thick client system architecture. The
second factor which hinders these mobile health systems is inefficient management and automation of
workflows in the wards. That is, these mobile health systems do not provide the information
automatically on the basis of workflow of the patient and daily routines of the health care
professionals. The professionals have to design the workflow process manually and retrieve the
information explicitly. The third crucial factor that hinders these mobile systems is lack of support for
exception handling relative to current workflow management systems.
On addressing the first problem, we designed a PDA based health system with thin client architecture.
The architecture is flexible because it by supports both implicit and explicit access to the clinical
information. The system focuses on exchanging information with existing legacy systems, updating
data in real time, and making information available to healthcare professionals by organizing daily
routines in the ward.
On addressing the second problem, we integrated the intelligent work flow agent with the designed
system architecture to manage the workflows efficiently. The workflow agent monitors the workflow
instance, and keeps track of the instance. It also coordinates the workflow execution of the instance in
such a way that all the constraints such as interactivity dependencies are enforced as specified. The
workflow agent alerts the appropriate professional with the task to be performed, and sends the
remainder to the healthcare professionals for ensuring processes completion. It also assigns and
schedules tasks for healthcare professionals in their daily routine duties. The system is not intended to
replace the workflows in the hospital but to facilitate the health care professionals to receive useful
and relevant information on time with greater flexibility than before.
Finally, on addressing the third problem, we propose a novel exception handling architecture and a
scheme for handling the exceptions. The proposed scheme scans through earlier exception records
from a dynamic knowledge base, evaluates and suggests an appropriate solution for the current
exception on the mobile handheld device. We also described the attributes of exceptions, the degree of
similarity between two exceptions. The scheme is evaluated in terms of time and accuracy compared
with previously known schemes. The improved accuracy and reduced execution time of our approach
is demonstrated on the system prototype.
Please use this identifier to cite or link to this item: