Icuautomation

Introduction
ICU Automation System
Monitoring Instruments & Interfacing
Application Development
Sample Android Designs
Intensive Care Unit Automation
Joms Antony
Bichu Vijayan
Sudhin Joy
Guided by
Dr.George Varkey
Mr.Santhosh GS, AP CSE Dept
Ms.Anju S, AP CSE Dept
AMAL JYOTHI COLLEGE OF ENGINEERING
February 6, 2013
MINI PROJECT REVIEW PHASE-1 1of 22

Introduction
Intensive Care Unit
Automation Possibilities
Possibilities for Research
1 Introduction
Intensive Care Unit
2 ICU Automation System
Top Level Architecture
Network Architecture
3 Monitoring Instruments & Interfacing
Instruments Used
Interfacing
Issues in Interfacing
4 Application Development
Development Tools Used
Work done So far
5 Sample Android Designs

Introduction
Intensive Care Unit
Intensive Care Unit
An Intensive Care Unit (ICU), also known as a Critical Care Unit (CCU)
is a special department of a hospital that provides intensive-care
medicine. Intensive Care Units cater to patients with the most serious
injuries and illnesses, most of which are life-threatening and need
constant, close monitoring and support from specialist equipment and
medication in order to maintain normal bodily functions

Introduction
Intensive Care Unit
Generation of Electronic Medical Records
Progress notes
Charts
Documents
Patient Data
Automated Monitoring and Alert Generation.
Interfacing of Bed Side Monitors and Data Storage
Bar Code Integration
Lab Tests and Results
and many more...

Introduction
Intensive Care Unit
Dynamic Decision Support Systems Eg: Alert generation &
recommendations.
Ubiquitous Computing Eg: Ubiquitous patient Monitoring.
Human Machine Interface Systems Eg: Touch user interface,
Intelligent user inteface(gestures)
Context Aware Computing Eg: Doctor/Patient context.

Introduction
There is a central server where the database and applications
are deployed.
A client -server architecture allows a seamless flow of
information to everyone in the clinical team.
Organizes high volume device data, lab results, calculations,
orders, medications etc
The workflow can be made easier and informative.
A web enabled application allows access to the system from a
remote location.
Clinical information is stored in the central server and is
available everywhere

Introduction

Introduction
Instruments Used
Interfacing
Instruments Used
Multipara Monitor:It is used to monitor the temperature,
pulse,blood pressure and respiration of a patient.

Introduction
Instruments Used
Interfacing
Instruments Used
Pulse Oximeter Monitor:Monitors the arterial haemoglobin
oxygen saturation (oxygen level) of the patient’s blood with a
sensor clipped over the finger or toe.

Introduction
Instruments Used
Interfacing
Instruments Used
Ventilator:Ventilator, also called a respirator, assists with or
controls pulmonary ventilation in patients who cannot breathe on
their own.

Introduction
Instruments Used
Interfacing
Interfacing
The measurements from these instruments are stored using archaic
methods such as a patient history record on a paper. The access
to these records is cumbersome and not available unless the
medical personnel is present at the point of care.
Connecting bed side monitors and equipments to the server system
can make this automated. Once this is done data can be collected
and stored in realtime mode and can further be used for analysis.
Data Communication
RS232
RS422
via network using TCP/IP

Introduction
Instruments Used
Interfacing
Unfortunately, each medical instrument has its unique proprietary
API (application programming interface - if any) to provide
automated and electronic access to monitoring data. Integration of
these APIs requires an agreement with the manufacturers towards
realization of interoperable health care networking. As long as the
interoperability of instruments with a network is not possible,
ubiquitous access to patient status is limited only to manual entry
based systems.
Work done
Checked the different types of equipment in JMMC
Studied about starplus monitor(L & T)
Able to receive the starplus service manual from L & T

Introduction
Work done So far
Programming Language:
IDE:
SERVER:
DBMS:
Java FrameWork:
Mobile/Tab Platform:
Server Machine OS:

Introduction
Work done So far
Work done So far
Installed and configured JDK and Eclipse
Created a wiki,icuautomation.wikispaces.com for better
collaboration and information sharing
Configured the JBOSS Server plugin and JBOSS runtime
Installed Postgres and checked DB Connectivity using JDBC
Hands on Web Application Development
Hands on Android Development
A part of the Team Went to JMMC & and learned the ICU
Workflow by 3hr observation slots
Prepared the As-IS Document Version1

Introduction
Work done So far
Work done So far
Visited JMMC and stayed there for 2 days
Discussed AS-IS Document and modifications were
recommended
Met the Instrumentation Dept and made a pilot study with
regard to equipment interfacing
Met the IT incharge, Network Administrator and agreed upon
setting of ICU Server and WIFI Connectivity
Met the Medical legal Advisor to clarify on EMR
Discussed about TO-BE document
Discussed Sample designs for user interface and Input Methods

Introduction
Work done So far
Work done So far
Discussion on using spring framework along with hybernate
Recommended the use of MVC model
Spring Framework was installed and tested
Released the AS-IS Document version 2
Titles for research papers were finalised and worked for the
same
3 IEEE format papers were made and the initial draft is
submitted to different IEEE international conferences for
acceptance

Introduction

Introduction
References
Thongpithoonrat, Pongnarin; McKneely, Paul K.; Gumudavelli, Suman; Gurkan, D.; Chapman, Frank M.
Networking and plug-and-play of bedside medical instruments. EMBS 2008; 1514 - 1517
Nahm R, Poston I. Measurement of the effects of an integrated, point-of-care computer system on quality
of nursing documentation and patient satisfaction. Comput Nurs 2000; 18:220229.
Joon Lee; Scott, D.J.; Villarroel, M.; Clifford, G.D.; Saeed, M.; Mark, R.G. Open-access MIMIC-II database
for intensive care research. EMBC 2011 : 8315 8318
Apkon M, Singhaviranon P. Impact of an electronic information system on physician workflow and data
collection in the intensive care unit. Intensive Care Med 2000; 27: 122130. 11.
Insup Lee, Oleg Sokolsky, Sanjian Chen. Challenges and Research Directions in Medical Cyber-Physical
Systems. Invited Paper in Special Issue on Cyber-Physical Systems, Proceedings of the IEEE, vol.100, no.1,
pp.75-90, Jan. 2012.
Shashi Gunawardane, Ravindra Koggalage, Ranga Rodrigo, Senaka Rajapakse. A Computer-Based ICU
Patient Alert And Decision Support System. SLJCC , 2009, vol 1, 35-41.
Yi Mao; Yixin Chen; Hackmann, G.; Minmin Chen; Chenyang Lu; Kollef, M.; Bailey, T.C. Medical Data
Mining for Early Deterioration Warning in General Hospital Wards. ICDMW,2011; 1042 - 1049
Nathalie Bricon-Soufa, Conrad R. Newmanb. Context awareness in health care: A review. International
Journal of Medical Informatics 76 (2007)212

Introduction
Thank You

Icuautomation

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