Wireless Biomedical Sensors

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Wireless Biomedical Sensors. By Darlene E. Aponte, RN. Objective. Describe wireless biomedical sensor technology. Describe biomedical sensor hardware. Describe biomedical sensor software. Evaluate the usability of software. Describe Cerner Information System . Objectives (continued). - PowerPoint PPT Presentation

Transcript of Wireless Biomedical Sensors

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Wireless Biomedical SensorsBy Darlene E. Aponte, RN

+Objective

Describe wireless biomedical sensor technology.

Describe biomedical sensor hardware.

Describe biomedical sensor software.

Evaluate the usability of software.

Describe Cerner Information System

+Objectives (continued)

Identify Advantages to Wireless Sensor Technology

Identify Disadvantages to Wireless Sensor Technology

Discuss Ethical/Legal Issues associated with Wireless Sensor Technology Trend

List Informatics competencies required for Trend

Describe functions and responsibilities of INS working with trend

+What are Wireless Biomedical Sensors?

A new technology that advances the way we gather data about our patients.

+Wireless Biomedical Sensors …

Are able to collect and send data using remote technology

Can be placed on the person or in the environment

Utilize affordable ad-hoc self-managing networks

+“Just be still Jim….”6

Image found at photobucket.com

+Hardware

Bed sensors

Temperature and luminosity sensors

ECG sensors

Pulse oximeter sensors

Motion sensors

+ECG Sensors

Sensors applied directly to patient skin Are applied using an adhesive, are small, lightweight,

and worn on patients chest

Accurate monitoring that is considered comparable to

readings of Holter Monitor (Fensli, Dale, O’Reilly,

O’Donoghue, Sammon, Gundersen, 2009)

+ECG SensorImage from Journal of Medical Systems

+Software-EMR/EHR

Centricityhttp://www.softwareadvice.com/medical/ge-centricity-emr-profile/InSynchttp://www.softwareadvice.com/medical/Intivia-insync-profile/AdvancedMDhttp://www.advancedmd.comAzyxxi (Feied, 2005)Cernerhttp://www.cerner.com

+Cerner

Highly streamlined workflow solutionsPerson centric Architecture

Clients assess system performance

+Cerner

Axiom #1-

Cerner meets axiom #1 because Cerner partners with clinicians and staff to individualize it’s solutions to meet the needs of each hospital.

+Cerner

Axiom #2

Cerner meets axiom #2 because data entry is quick and easy, and allows the user to make corrections using the same techniques as the original data entry.

+Cerner

Axiom #3

Cerner meets axiom #3 because evaluation of its systems are assessed by their clients and quality improvement initiatives are addressed using evidenced based research, data analysis, and process modeling.

+Cerner Millenium

Healthcare Information Technology System Solutions (Cerner, 2010)

PharmNet and PowerChart PowerOrders RadNet and PACS PathNet CareAware

+Cerner

Healthcare Information System

Cerner Information System used by numerous healthcare professionals

Cerner enables users to perform all aspects of healthcare

Configurations determined by needs of facility

Data standards- HL7, DICOM

Utilizes SNOMED classification system

NIDSEC used for nursing

+Advantages to Wireless Biomedical Sensor Technology Increased Patient Satisfaction

Increased Transparency

Offers a solution to continuous monitoring needs

Increased Quality of Data

Real-time data solution

+Disadvantages to Wireless Biomedical Sensor Technology Consume high amount of Bandwidth (Alemdor & Ersoy,

2010)

Interoperability problems

Power supply must be recharged

Security

Privacy

Varying patient response to interaction with technology

+Ethical/Legal Issues

Ensuring patient privacy

Maintaining client confidentiality

Healthcare provider accountability

Patient preferences vs. reducing cost of care

Legal use of acquired information

+Required Nursing Competencies

Keyboard and Mousing skills

Proficiency in using sensors

Assessing integrity of sensors and proper placement

Troubleshooting minor problems with equipment

Ability to provide patient teaching on proper use of sensors

+Functions and Responsibilities of INS

Staff education and training

Product purchasing

Collaboration with staff and software company to design features

Ensuring system requirements are met.

Maintaining privacy and ensuring security of patient information

+Summary

Wireless Biomedical Sensors collect key patient data

Increase patient satisfaction

Are a way to maintain continuous patient monitoring

Offer an affordable alternative to inpatient stays in some circumstances

Offer improved patient outcomes

Data from wireless sensors can be linked directly to EMR

+References

Ana nursing information and data set evaluation center

recognizes cerner corporation's 'carenet solutions'. (2004).

Alabama Nurse, 31(2), Retrieved from URL:

www.cinahl.com/cgi-bin/refsvc?

jid=966&accno=2004161946

+References

Alemdar, H, & Ersoy, C. (2010). Wireless sensor networks for

healthcare: a survey. Computer Networks 54, doi: 10.1016/

jcomnet.2010.05.003

Arshak, K., Jafer, E., McDonagh, D., Ibala, C.S. (2007).

Modeling and simulation of wireless sensor system for health

monitoring using HDL and Simulink with mixed environment.

IET Comput. Digit. Tech, 1, (5), pp. 508–518.

doi:10.1049/iet-cdt:20050206

+References

Cerner . (2010). Retrieved from http://

www.cerner.com/solutions/

Engin, M., Demirel, Engin, E.Z., Fedakar, M. (2005).

Recent developments and trends in biomedical sensors.

Measurement, 37, 173-188. doi:10.1016/

j.measurement.2004.11.002

 

+References

Feied, C. (2005). Building your own electronic medical

record. From A to Z. Azyxxi system offers access

to a wide range of clinical data. Modern

Healthcare, 35 (46). Retrieved from:

www.cinahl.com/cgi-bin/ refsvc?

jid=772&accno=2009539646

+References

Fensli, R, Gunnar-Dale, J, O'Reilly, P, O'Donoghue, J, &

Sammon, D. (2009). Towards improved healthcare

performance: examining technological

possibilities and patient satisfaction with wireless body

area networks. Journal of Medical Systems, doi:

10.1007/ s10916-009-9291-8

+References

Virone, G, Wood, L, Selavo, Q, Cao, L, & Fang, T. (n.d.).

An advanced wireless sensor network for health

monitoring. Unpublished manuscript, Department

of Computer Science, University of Virginia,

Virginia. Retrieved from

www.cs.virginia.edu/papers/d2h206- health.pdf