This document provides an overview and introduction to LOINC (Logical Observation Identifiers Names and Codes). It discusses the origins and growth of LOINC as a universal standard for identifying laboratory and clinical observations. Key points include: LOINC was created in 1994 by Regenstrief Institute to facilitate information exchange; it has over 80,000 codes covering many clinical domains and is used internationally; and adoption has increased steadily with over 800 downloads per month and participation from many organizations globally and within the US.
Audio Compression Techniques
a type of lossy or lossless compression in which the amount of data in a recorded waveform is reduced to differing extents for transmission respectively with or without some loss of quality, used in CD and MP3 encoding, Internet radio.
Dynamic range compression, also called audio level compression, in which the dynamic range, the difference between loud and quiet, of an audio waveform is reduced
Professor Gonzalo R. Arce gave a lecture on "Compressed sensing in spectral imaging" in the Distinguished Lecturer Series - Leon The Mathematician.
More Information available at:
http://goo.gl/satkf
This is the final presentation for project named "Audio Steganography" for btech final year computer science students, and without the screenshots of the progress this can b used as a synopsis presentation.
Audio Compression Techniques
a type of lossy or lossless compression in which the amount of data in a recorded waveform is reduced to differing extents for transmission respectively with or without some loss of quality, used in CD and MP3 encoding, Internet radio.
Dynamic range compression, also called audio level compression, in which the dynamic range, the difference between loud and quiet, of an audio waveform is reduced
Professor Gonzalo R. Arce gave a lecture on "Compressed sensing in spectral imaging" in the Distinguished Lecturer Series - Leon The Mathematician.
More Information available at:
http://goo.gl/satkf
This is the final presentation for project named "Audio Steganography" for btech final year computer science students, and without the screenshots of the progress this can b used as a synopsis presentation.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and projecting future trends based on large data sets. Machine learning for anomaly detection provides a promising alternative for the detection and classification of anomalies.
Find out how you can implement machine learning to increase speed and effectiveness in identifying and reporting anomalies.
In this webinar, we will discuss :
How machine learning can help in identifying anomalies
Steps to approach an anomaly detection problem
Various techniques available for anomaly detection
Best algorithms that fit in different situations
Implementing an anomaly detection use case on the StreamAnalytix platform
To view the webinar - https://bit.ly/2IV2ahC
User and Entity behavior analytics (UEBA) and identity analytics (IdA) created from behavior-based machine learning models are changing security methodologies and architecture in many domains. UEBA and IdA are converging with SIEM, IAM, DLP, CASB and EDR solution areas to impact security solution design and functionality. The shift includes moving from a declarative rules and roles-based environment into behavior-based risk scoring to determine intelligent roles, adaptive access, plus predicting and detecting insiders, account hijacking, data exfiltration and cloud access and abuse. We are surrounded by many uses of machine learning in our daily lives and until only recently are security solutions catching up to this force multiplier.
Attendees will learn the following:
• The shift from declarative rules and roles to machine learning models
• Understanding excess access risks, outliers and intelligent roles
• How machine learning models predict and detect unknown threats
• The importance of dynamic peer groups in clustering and outlier machine learning
• Migrating to adaptive access and risk-based access reviews
• Driving deterrence and detection with self-audits for employees and partners
Mark Timothy Mandrino GURUCUL Sales Director of User Entity Behavior Analytics at Gurucul Mark is an accomplished sales professional with over 25 successful years in the Security and Information Technology space. 5 plus years in sales management and 2 years in business development startup ownership venture. He runs the practice for Gurucul in a 7 state region educating Fortune 100 and up customers in the Identity Detection Intelligence and the UEBA market.
He is ITIL certified, has worked in the eDiscovery space, security services space and is associated with many of the top security vendors in the world. For fun Mark likes to hunt, fish, cook and spend time with his family. Loves sports and has coached little league baseball for 10 plus years before moving to Texas in 2015 from Boston, MA. Mark has traveled the world as a missionary’s son and lived in 22 states and 4 countries before he was 18. He enjoys the daily challenges of information security and IT. Loves helping his clients tackle the tough issues.
Music information Retrieval (MIR) is a vastly growing field these days due to the exploding popularity of streaming services like Spotify, Pandora and SoundCloud. At such scale detailed knowledge about your content is necessity. In this lecture we're going to outline the major tasks in MIR as genre and mood detection, artist classification, music similarity, and fingerprinting. Our main focus will be on how Machine Learning and Deep Learning, as a recent trend, could be applied over the audio signal for tackling those problems.
Pretty Good Privacy,PGP Confidentiality and Authentication,Secure/Multipurpose Internet Mail Extension (S/MIME),Secure/Multipurpose Internet Mail Extension (S/MIME),Enhanced Security Services,E-mail Threats
Lecture 4 Decision Trees (2): Entropy, Information Gain, Gain RatioMarina Santini
attribute selection, constructing decision trees, decision trees, divide and conquer, entropy, gain ratio, information gain, machine leaning, pruning, rules, suprisal
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and projecting future trends based on large data sets. Machine learning for anomaly detection provides a promising alternative for the detection and classification of anomalies.
Find out how you can implement machine learning to increase speed and effectiveness in identifying and reporting anomalies.
In this webinar, we will discuss :
How machine learning can help in identifying anomalies
Steps to approach an anomaly detection problem
Various techniques available for anomaly detection
Best algorithms that fit in different situations
Implementing an anomaly detection use case on the StreamAnalytix platform
To view the webinar - https://bit.ly/2IV2ahC
User and Entity behavior analytics (UEBA) and identity analytics (IdA) created from behavior-based machine learning models are changing security methodologies and architecture in many domains. UEBA and IdA are converging with SIEM, IAM, DLP, CASB and EDR solution areas to impact security solution design and functionality. The shift includes moving from a declarative rules and roles-based environment into behavior-based risk scoring to determine intelligent roles, adaptive access, plus predicting and detecting insiders, account hijacking, data exfiltration and cloud access and abuse. We are surrounded by many uses of machine learning in our daily lives and until only recently are security solutions catching up to this force multiplier.
Attendees will learn the following:
• The shift from declarative rules and roles to machine learning models
• Understanding excess access risks, outliers and intelligent roles
• How machine learning models predict and detect unknown threats
• The importance of dynamic peer groups in clustering and outlier machine learning
• Migrating to adaptive access and risk-based access reviews
• Driving deterrence and detection with self-audits for employees and partners
Mark Timothy Mandrino GURUCUL Sales Director of User Entity Behavior Analytics at Gurucul Mark is an accomplished sales professional with over 25 successful years in the Security and Information Technology space. 5 plus years in sales management and 2 years in business development startup ownership venture. He runs the practice for Gurucul in a 7 state region educating Fortune 100 and up customers in the Identity Detection Intelligence and the UEBA market.
He is ITIL certified, has worked in the eDiscovery space, security services space and is associated with many of the top security vendors in the world. For fun Mark likes to hunt, fish, cook and spend time with his family. Loves sports and has coached little league baseball for 10 plus years before moving to Texas in 2015 from Boston, MA. Mark has traveled the world as a missionary’s son and lived in 22 states and 4 countries before he was 18. He enjoys the daily challenges of information security and IT. Loves helping his clients tackle the tough issues.
Music information Retrieval (MIR) is a vastly growing field these days due to the exploding popularity of streaming services like Spotify, Pandora and SoundCloud. At such scale detailed knowledge about your content is necessity. In this lecture we're going to outline the major tasks in MIR as genre and mood detection, artist classification, music similarity, and fingerprinting. Our main focus will be on how Machine Learning and Deep Learning, as a recent trend, could be applied over the audio signal for tackling those problems.
Pretty Good Privacy,PGP Confidentiality and Authentication,Secure/Multipurpose Internet Mail Extension (S/MIME),Secure/Multipurpose Internet Mail Extension (S/MIME),Enhanced Security Services,E-mail Threats
Lecture 4 Decision Trees (2): Entropy, Information Gain, Gain RatioMarina Santini
attribute selection, constructing decision trees, decision trees, divide and conquer, entropy, gain ratio, information gain, machine leaning, pruning, rules, suprisal
HL7
Health level 7
What is HL7?
What does it stand for
HL7 Mission
HL7 contains message standards
HL7 in HealthcareManagement System
Standards
Limitations of HL7
Theera-Ampornpunt N. HL7 Clinical Document Architecture: overview and applications. Presented at: HL7 CDA Workshop at the Faculty of Medicine Ramathibodi Hospital; 2013 Jun 20-21; Bangkok, Thailand. Invited speaker, in Thai.
A proposal for interoperable health information exchange with two Esperantos: ICF and LOINC. Presented at the 2010 NAAC ICF Conference: Enhancing our Understanding of the ICF.
Using real-world evidence to investigate clinical research questionsKarin Verspoor
Adoption of electronic health records to document extensive clinical information brings with it the opportunity to utilise that information to support clinical research, and ultimately to support clinical decision making. In this talk, I discuss both these opportunities and the challenges that we face when working with real-world clinical data, and introduce some of the strategies that we are adopting to make this data more usable, and to extract more value from it. I specifically discuss the use of natural language processing to transform clinical documentation into structured data for this purpose.
2023-11-09 HealthRI Biobanking day_Amsterdam_Alain van Gool.pdfAlain van Gool
Examples of lessons learned in Omics-based biomarker studies from myself and colleagues in X-omics and EATRIS, for an audience of biobankers, researchers and diagnostic/clinical chemistry experts.
Leveraging Text Classification Strategies for Clinical and Public Health Appl...Karin Verspoor
Human-generated text is a critical component of recorded clinical data, yet remains an under-utilised resource in clinical informatics applications due to minimal standards for sharing of unstructured data as well as concerns about patient privacy. Where we can access and analyse clinical text, we find that it provides a hugely valuable resource. In this talk, I will describe two projects where we have used text classification as the basis for addressing a clinical objective: (1) a syndromic surveillance project where the task is the monitoring of health and social media data sources for changes that indicate the onset of disease outbreaks, and (2) the analysis of hospital records to enable retrieval of specific disease cases, for monitoring of the hospital case mix as well as for construction of patient cohorts for clinical research studies. I will end by briefly discussing the huge potential for clinical text analysis to support changing the way modern medicine is practised.
Provenance abstraction for implementing security: Learning Health System and ...Vasa Curcin
Discussion of provenance usage in the Learning Health System paradigm, as implemented in the TRANSFoRm project, with focus on security requirements and how they can be addressed using provenance graph abstraction.
Standards for public health genomic epidemiology - Biocuration 2015Melanie Courtot
A presentation introducing genomic epidemiology and its application in public health. It also explains the need for standards to support the Canadian Integrated Rapid Infectious Disease Analysis platform which implements genomic epidemiology analyses for detection and investigation of infectious disease outbreaks caused by food-borne pathogens.
Accelerating the translation of medical research - 27 JuneInnovation Agency
Slides from the event focusing on translational research in Liverpool and North of England and why companies are establishing and growing operations in the region.
2022-11-23 DTL Future of data-driven life sciences, Utrecht, Alain van Gool.pdfAlain van Gool
A pitch on directions to improve experimental reproducibility, illustrated by examples of past experiences. I made the plee to move from 'Proudly invented here' to 'Proudly copyied from', to re-use each other's eperiences in successes and failures.
Prof. Todor (Ted) A. Popov - 6th Clinical Research ConferenceStarttech Ventures
Ομιλία - Παρουσίαση: Prof. Todor (Ted) A. Popov, Professor of Medicine, Medical University in Sofia, Chairman of the Bulgarian Ethics Committee for Multicenter Studies
Τίτλος Παρουσίασης: «Do databases around the world speak the same language?»
Presentation by Daniel J. Vreeman, PT, DPT, MSc for the AMIA KRS Working Group. Title: LOINC - An Introduction to the Universal Catalog of Laboratory and Clinical Observations.
Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
These simplified slides by Dr. Sidra Arshad present an overview of the non-respiratory functions of the respiratory tract.
Learning objectives:
1. Enlist the non-respiratory functions of the respiratory tract
2. Briefly explain how these functions are carried out
3. Discuss the significance of dead space
4. Differentiate between minute ventilation and alveolar ventilation
5. Describe the cough and sneeze reflexes
Study Resources:
1. Chapter 39, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 34, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 17, Human Physiology by Lauralee Sherwood, 9th edition
4. Non-respiratory functions of the lungs https://academic.oup.com/bjaed/article/13/3/98/278874
263778731218 Abortion Clinic /Pills In Harare ,sisternakatoto
263778731218 Abortion Clinic /Pills In Harare ,ABORTION WOMEN’S CLINIC +27730423979 IN women clinic we believe that every woman should be able to make choices in her pregnancy. Our job is to provide compassionate care, safety,affordable and confidential services. That’s why we have won the trust from all generations of women all over the world. we use non surgical method(Abortion pills) to terminate…Dr.LISA +27730423979women Clinic is committed to providing the highest quality of obstetrical and gynecological care to women of all ages. Our dedicated staff aim to treat each patient and her health concerns with compassion and respect.Our dedicated group ABORTION WOMEN’S CLINIC +27730423979 IN women clinic we believe that every woman should be able to make choices in her pregnancy. Our job is to provide compassionate care, safety,affordable and confidential services. That’s why we have won the trust from all generations of women all over the world. we use non surgical method(Abortion pills) to terminate…Dr.LISA +27730423979women Clinic is committed to providing the highest quality of obstetrical and gynecological care to women of all ages. Our dedicated staff aim to treat each patient and her health concerns with compassion and respect.Our dedicated group of receptionists, nurses, and physicians have worked together as a teamof receptionists, nurses, and physicians have worked together as a team wwww.lisywomensclinic.co.za/
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
New Directions in Targeted Therapeutic Approaches for Older Adults With Mantl...i3 Health
i3 Health is pleased to make the speaker slides from this activity available for use as a non-accredited self-study or teaching resource.
This slide deck presented by Dr. Kami Maddocks, Professor-Clinical in the Division of Hematology and
Associate Division Director for Ambulatory Operations
The Ohio State University Comprehensive Cancer Center, will provide insight into new directions in targeted therapeutic approaches for older adults with mantle cell lymphoma.
STATEMENT OF NEED
Mantle cell lymphoma (MCL) is a rare, aggressive B-cell non-Hodgkin lymphoma (NHL) accounting for 5% to 7% of all lymphomas. Its prognosis ranges from indolent disease that does not require treatment for years to very aggressive disease, which is associated with poor survival (Silkenstedt et al, 2021). Typically, MCL is diagnosed at advanced stage and in older patients who cannot tolerate intensive therapy (NCCN, 2022). Although recent advances have slightly increased remission rates, recurrence and relapse remain very common, leading to a median overall survival between 3 and 6 years (LLS, 2021). Though there are several effective options, progress is still needed towards establishing an accepted frontline approach for MCL (Castellino et al, 2022). Treatment selection and management of MCL are complicated by the heterogeneity of prognosis, advanced age and comorbidities of patients, and lack of an established standard approach for treatment, making it vital that clinicians be familiar with the latest research and advances in this area. In this activity chaired by Michael Wang, MD, Professor in the Department of Lymphoma & Myeloma at MD Anderson Cancer Center, expert faculty will discuss prognostic factors informing treatment, the promising results of recent trials in new therapeutic approaches, and the implications of treatment resistance in therapeutic selection for MCL.
Target Audience
Hematology/oncology fellows, attending faculty, and other health care professionals involved in the treatment of patients with mantle cell lymphoma (MCL).
Learning Objectives
1.) Identify clinical and biological prognostic factors that can guide treatment decision making for older adults with MCL
2.) Evaluate emerging data on targeted therapeutic approaches for treatment-naive and relapsed/refractory MCL and their applicability to older adults
3.) Assess mechanisms of resistance to targeted therapies for MCL and their implications for treatment selection
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
These lecture slides, by Dr Sidra Arshad, offer a quick overview of physiological basis of a normal electrocardiogram.
Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar leads (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
Acute scrotum is a general term referring to an emergency condition affecting the contents or the wall of the scrotum.
There are a number of conditions that present acutely, predominantly with pain and/or swelling
A careful and detailed history and examination, and in some cases, investigations allow differentiation between these diagnoses. A prompt diagnosis is essential as the patient may require urgent surgical intervention
Testicular torsion refers to twisting of the spermatic cord, causing ischaemia of the testicle.
Testicular torsion results from inadequate fixation of the testis to the tunica vaginalis producing ischemia from reduced arterial inflow and venous outflow obstruction.
The prevalence of testicular torsion in adult patients hospitalized with acute scrotal pain is approximately 25 to 50 percent
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
2. Overview
• Origins
of
LOINC
– Background
– Growth
– Participation
• Successes
– International
– US
3. Origins
of
LOINC
The
Lingua
Franca
of
Clinical
Observation
Exchange
4. Introduction
• Regenstrief’s
30-‐year
history
• The
Indiana
Network
for
Patient
Care
– A
working
HIE
for
~15
years
– More
than
100
sources
– Regenstrief:
3rd
party
convener
• Local
systems
use
idiosyncratic
codes
• Vocabulary
standards
– LOINC
®
-‐
universal
code
system
for
clinical
observations
– The
lingua
franca
of
information
exchange
• Laboratory
and
Radiology
results*
– Often
unavailable
at
the
time
of
a
clinical
visit
(6%,
4%)
– Often
located
outside
of
their
clinical
system
*Smith
CP,
Araya-‐Guerra
R,
Bublitz
C,
et
al.
Missing
clinical
information
during
primary
care
visits.
JAMA.
2005;293(5):565-‐571
6. From
whence
comes
LOINC?
• LOINC®
– Logical
Observation
Identiiiers
Names
and
Codes
– A
universal
code
system
for
laboratory
and
other
clinical
observations
– The
lingua
franca
of
information
exchange
for
clinical
observations
McDonald
CJ,
Huff
SM,
Suico
JG,
et
al.
LOINC,
a
universal
standard
for
identifying
laboratory
observations:
a
5-‐year
update.
Clin
Chem.
2003;49(4):624-‐633.
7. Indiana Network for Patient Care
HL7 v.2.X Message
MSH|^~&|HOSPITAL_A|SAMPLE_HOSPITAL_A|||$YearMonthDay|||||||||||||||
LocalCode^LocalName^CodeSystem^LOINCcode^LOINCname^CodeSystem
PID|||$patientId$||$patientName$||||||||||||||||||||
PV1|||||||$attendingDoctor$||$consultingDoctor$||||||||
OBR|1|||CBC^CBC/Auto Diff^HSPA^57021-8^CBC W Auto Diff^LN||$reqDate|||||||||
OBX|2|ST|WBC^WBC^HSP_A^26464-8^Leukocytes [#/volume] in Blood^LN||10.8|K/MM3|||||F|
OBX|3|ST|RBC^RBC^HSP_A^26453-1^Erythrocytes [#/volume] in Blood^LN||4.82|MIL/MM3|||||F|
OBX|4|ST|HGB^HGB^HSP_A^718-7^Hemoglobin [Mass/?volume] in Blood^LN||15.7|GM/DL|||||F|
OBX|5|CE|HCT^HCT^HSP_A^20570-8^Hematocrit [Volume Fraction] of Blood^LN||45|%|||||||F|
A
A
8. LOINC
Purpose
To
facilitate
the
exchange
and
pooling
of
results
for
clinical
care,
outcomes
management,
and
research
• Speciiically,
to
provide
a
universal
ID
for
the
OBX-‐3
iield
in
HL7
ORU
messages
• LOINC
codes
“questions”,
not
answers
– Orders/Panels
(OBR-‐4)
– Questions
(OBX-‐3)
– NOT
Values
(OBX-‐5)
• Numbers,
organisms
(E.
coli)
McDonald
CJ,
Huff
SM,
Suico
JG,
et
al.
LOINC,
a
universal
standard
for
identifying
laboratory
observations:
a
5-‐year
update.
Clin
Chem.
2003;49(4):624-‐633.
9. LOINC’s
General
Role
• If
an
observation
is
a
question,
and
the
observation
value
an
answer:
– LOINC
provides
codes
for
the
questions
{OBR-4,
OBX-3}
– Other
systems
(eg
SNOMED)
provide
codes
for
the
answers
What
is
my
patient’s
hemoglobin
level?
718-‐7:Hemoglobin:MCnc:Pt:Bld:Qn
How
fast
does
my
patient
usually
walk?
41959-‐8:Walking
speed:Vel:1W^mean:^Patient:Qn:Calculated
10. LOINC
Background
• Organized
by
Regenstrief
Institute
in
1994
– Ongoing
support
from
NLM
and
Regenstrief
– Guided
by
the
LOINC
Committee
(Lab
+
Clinical)
• Covers
domain
of
Clinical
Observations
– Laboratory
observations
(since
1995)
– Clinical
observations
(since
1996)
– HIPAA
Claims
Attachments
(NPRM
in
2005)
• LOINC
development
is
a
highly
‘open
source’
model
– Open,
nimble,
pragmatic
– LOINC
and
RELMA
program
are
freely
available
– Much
work
is
done
by
volunteers
– Additions
to
the
database
are
end-‐user
driven
25. Existing
Translations
• Spanish
– BiTAC
(Spain);
39,000
terms
– Conceptum
Medical
Terminology
Center;
38,000
terms,
Users’
Guide
– Mexican
Institute
of
Social
Security;
Users’
Guide
• French
– Canada
Health
Infoway;
38,000
terms,
Documentation
– Société
Française
d'Informatique
de
Laboratoires;
4,000
terms
• Simpliiied
Chinese
– Bethune
International
Peace
Hospital;
38,000
terms,
Users’
Guide,
tutorial
• Korean
– Korean
Ministry
for
Health,
Welfare
and
Family
Affairs;
27,000
terms
• German
– DIMDI;
Companion
website,
Users’
Guide
26. New
Translations
(this
release)
• Estonian
– Estonian
LOINC
working
group
of
the
Estonian
Society
for
Clinical
Chemistry;
Users’
Guide,
Tutorial
• Portuguese
– Brazilian
Federal
Agency
for
Health
Plans
and
Insurance,
Brazilian
Clinical
Analysis
Society,
Brazilian
Clinical
Pathology
Society,
and
Diagnóstico
das
Américas
(DASA);
2,800
terms
• German,
French,
Italian,
Spanish
– CUMUL
(Switzerland);
5000
common
terms
27.
28. In-‐progress
Translations
• French
– Assistance
Publique-‐Paris
Hospitals
(PMID:
18999107)
• Estonian
– University
of
Tartu;
Lab
terms
• Dutch
– SKML
(the
Dutch
Foundation
for
Quality
Assessment
in
Medical
Laboratories);
Lab
terms
• Catalan
– BiTAC;
Lab
terms
• Russian
– Donetsk
National
Medical
University,
corTTex
29. How
do
you
say
“glucose?”
Component
Linguistic
Variant
Glukose
German
(Switzerland)
Glucose
French
(Switzerland)
Glucosio
Italian
(Switzerland)
Glucosa
Spanish
(Switzerland)
Simpliiied
Chinese
(China)
Glucosa
Spanish
(Argentina)
Glükoos
Estonian
(Estonia)
Glicose
Portuguese
(Brazil)
-‐
Draft
Glucosa
Spanish
(Spain)
Korean
(Korea,
South)
30.
31. New
Translation
Approach
• Prior
Method
– Translate
whole
name
as
one
string
• New
Method
– Break
LOINC
terms
into
their
constituent
Parts
– Remove
duplicate
strings
in
Part
list
– Translate
the
Part
strings
– Reassemble
the
full
LOINC
name
• Beneiits
– Reduced
translation
work
– Enables
multilingual
searches
in
RELMA
33. Consolidated
Health
Informatics
Initiative
• CHI
Goal:
– Adopting
interoperability
standards
to
enable
all
agencies
in
the
federal
health
enterprise
to
“speak
the
same
language”
• In
2006,
adopted
LOINC
as
standard:
– Laboratory
test
order
names
– Medications:
Structured
Product
Labeling
Sections
34. Consolidated
Health
Informatics
Initiative
• In
2007,
CHI
adopted
LOINC
as
standard
for
federally-‐required
assessments:
– questions
and
answers
– assessment
forms
that
include
functioning
and
disability
content
35. Other
Key
US
Adoptions
• UMLS
• VA
• CDC
PHIN
Initiatives
– Implement
CHI
standards
• IHS
– Embarking
on
~250
facility
mapping
process
• NCQA/HEDIS
– Healthcare
Effectiveness
Data
and
Information
Set
– Used
90%
of
health
plans
to
measure
quality
36. Other
Key
US
Adoptions
• ARRA
“Meaningful
Use”
• HITSP
– C80:
vital
signs,
lab
results,
lab
orders,
genetic
results,
other
results
– IS92:
newborn
screening
• eLINCS
– Standard
for
results
delivery
from
LIS
to
an
EHR
• NAACCR
• CDISC
– Pharmaceutical
research
specs
• NCI
–
caBIG
– Lab
portion
adopted
as
caBIG
vocab
standard
37. Other
Key
US
Adoptions
• HL7
–
many
implementation
guides,
CDA,
etc
• HIPAA
Claims
Attachments
• Many
Regional
HIEs