LOINC Italia News Maria Teresa Chiaravalloti Technologist at National Research Council, Italy PhD...

LOINC Italia News

Maria Teresa ChiaravallotiTechnologist at National Research

Council, ItalyPhD Student at University of Calabria,

Italy

Giovanna SanninoResearch fellow at National

Research Council, ItalyPhD Student at University of Naples “Parthenope”, Italy

Laboratory LOINC Committee Meeting

Regenstrief Institute, Indianapolis

December 7, 2012Institute for High

Performance Computing and Networking

National Research Council of Italy

Where we left last time…

Institute for High Performance Computing and Networking


Mapping results: an example



2376 local lab tests(Laboratorio Lamberti)

89% mappedVS

11% unmapped

It is strictly necessary a standardized mapping procedure/guidelines

The chance to look at what other labs have done is a key factor in mapping success



What we understood

LOINC Mapping Repository and RELMA “Community

Edition” Project

Where we left last time…



Governamental adoption of LOINC



LOINC is one of the standardized vocabulary

recommended for identifying single items

in clinical report documents

Part translation updates



LOINC 2.34

RELMA 5.0 (Dec 2010)

LOINC 2.36

RELMA 5.3 (Jun 2011)

LOINC 2.37

RELMA 5.4 (Dec 2011)

LOINC 2.41

RELMA 5.9 (Dec

2012)

Translated atomic parts

11,748 11,748 12,924 19,275

Synonyms 3,341 6,026 7,092 9,092

Translated full term names

43,152 43,720 45,813 ?

+ Clinical Parts

Mobile Health Monitoring Systems

Aims:

This research activity aims at designing and realizing an intelligent mobile system for clinical care and remote patient monitoring, in particular for heart monitoring of patients with chronic heart diseases.

Monitor parameters is not enough: Example:

a system monitors Heart rate and Heart rate variability;

if (HR >= 120)

alarm

If the person under monitoring is running?

Intelligent context awareness



Idea: Proposed approach aims at solving some m-Health

open issues about intrusiveness, technological limits, reliability, interoperability and security in order to guarantee : Non-intrusive data capture by using wearable

monitoring devices

Intelligent data analysis for Medical aims or healthy LifeStyle

Pervasive data transfer and access (e.g. Electronic Health Record)

Interoperability between health services and devices

Reliability in communications

Security in terms of privacy and data Integrity




Results: A prototype system has been designed and

realized in order to: Guarantee an intelligent data analysis in terms of

reliability

Assure a correct monitoring and warning system for doctors and for patients reducing false positive alarms

The prototype is for Android Tablets and Smartphones and for PC Desktop Windows based.

The proposed approach consists in: Correlation of biomedical parameters with patient’s

context-aware information: Biomedical information: HR, HRV, SpO2, Glycemia, Body

Temperature, Respiratory Rate, etc.

Physical activity: Posture, Movements, etc.

Use of knowledge technologies to build proper applications e.g. Decision Support Systems




More biomedical sensors are integrated in our system, like: Zephyr BioHarness:

a physiological monitoring system. The subject wears a Smart Fabric chest strap or shirt which incorporates sensors to monitor heart ECG signals, and respiration rate. Attached to the strap is the BioHarness Module. This contains a temperature sensor and a 3-axis accelerometer for monitoring attitude (subject posture) and activity (acceleration).

Alive ECG Monitor:

a small device aimed at monitoring the user's ECG. The ECG signal can be stored in an SD memory card placed on the device and/or transmitted via a Bluetooth connection to a mobile phone, PDA, or PC for real-time display, recording and analysis. It is a wearable system suitable for the screening, diagnosis and management of cardiac chronic diseases. It is also able to monitor movements and physical activities performed by the user by means of an embedded accelerometer sensor.




The system was tested on:

Asus Eee Pad Transformer Prime

Android 4.0.3

Samsung Galaxy “gio”

Android 2.3

PC Desktop

Windows XP




What LOINC can do for us:Terminology standard:

Communication with Electronic Health Record Systems (EHR) LOINC coding system is used to identify all monitored parameters

Definition of Rules (?m http://mH#heartRate ?hr), greaterThan(?hr,100) ->

newInstance(?abn, http://mH#abnormalCondition), (?abn http://mH#conditionType 'Tachycardia'^^xsd:string), (?abn http://mHealthOnto#dueTo ?m) ]

(?m http://mH#8867-4 ?hr), greaterThan(?hr,100) -> newInstance(?abn, http://mH#abnormalCondition), (?abn http://mH#conditionType 'Tachycardia'^^xsd:string), (?abn http://mHealthOnto#dueTo ?m) ]




What we can do for LOINC Contribute to upgrade the

database with new codes related to parameters detected by wearable sensors

“Sagittal plane body position” : LOINC number 72282-7




Conclusions and future work



We would like to suggest to start thinking about the need of a «translation control». Could be challenging BUT it is LOINC content that goes all over

the world

LOINC is part of a third stage of the InFSE project (started July 1st 2012)

LOINC tutorial

LOINC online helpdesk

Clinical LOINC, especially Tumor Registry class, to be used in a recently approved project by Pharmacy Department of the University of Calabria

Thank you for your attention!

Maria Teresa [email protected]

Giovanna [email protected]

Laboratory LOINC Committee Meeting

Regenstrief Institute, Indianapolis

December 7, 2012Institute for High

Performance Computing and Networking


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