SlideShare a Scribd company logo
1 of 41
Download to read offline
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 1/41
FHIR DATABASESFHIR DATABASES
Nikolai Ryzhikov @ Health Samurai
@niquola (tw, gm, gh)
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 2/41
LET'S IMPLEMENT YOURLET'S IMPLEMENT YOUR
IDEAS IN FHIRIDEAS IN FHIR
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 3/41
FHIR-NATIVE & FHIR-FIRSTFHIR-NATIVE & FHIR-FIRST
Use FHIR as platform to build next-generation systems
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 4/41
FHIR PERSISTENCE?FHIR PERSISTENCE?
How to store & query FHIR resources?
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 5/41
SQL/RELATIONAL DBSSQL/RELATIONAL DBS
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 6/41
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 7/41
SQL/RELATIONAL DBSSQL/RELATIONAL DBS
Normal form? > 1000 tables
CREATE TABLE patient (id, birthDate,...);
CREATE TABLE patient_name (pid, family, use, given?...);
CREATE TABLE patient_telecom (pid, system, value ...)
CREATE TABLE patient_address (pid, city...);
CREATE TABLE patient_photo (pid, ...);
CREATE TABLE patient_contact (pid, ...);
CREATE TABLE patient_contact_name (pid, p_cid ...);
CREATE TABLE patient_contact_address (pid, p_cid ...);
CREATE TABLE patient_communication (pid, ...);
.....
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 8/41
SQL/RELATIONAL DBSSQL/RELATIONAL DBS
DBs 10x inserts and joins
SELECT *
FROM patient
JOIN patient_name
JOIN patient_telecom
JOIN patient_address
JOIN patient_photo
JOIN patient_contact
JOIN patient_contact_name
JOIN patient_contact_address
JOIN patient_communication
.....
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 9/41
POPULAR SCHEMAPOPULAR SCHEMA - SAVE BLOB!- SAVE BLOB!
Grahame's Server, HAPI JPA, Vonk, MS FHIR
CREATE TABLE resource (
id,
resource blob,
...
);
create table string_idx(res_id, value, ...);
create table date_idx(res_id, value, ...);
create table token_idx(res_id, value, ...);
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 10/41
FHIR SEARCHFHIR SEARCH
GET /Patient?name=john&birthdate=lt1980&active=true
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 11/41
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 12/41
FHIR SEARCHFHIR SEARCH
resourceType: "SearchParameter"
id: "Patient.phone"
name: "phone"
type: "token"
expression: "Patient.telecom.where(system='phone')"
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 13/41
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 14/41
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 15/41
GET /PATIENT?PHONE=123GET /PATIENT?PHONE=123
SELECT resource
FROM resource r
JOIN token_idx s1
ON s1.res_id = id AND s1.name = 'phone'
WHERE
r.type = 'Patient'
AND s1.value = '123'
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 16/41
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 17/41
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 18/41
STORE 3 TIMES!STORE 3 TIMES!
as blob
as search param entry
as db idx
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 19/41
MULTIPLE SEARCH PARAMSMULTIPLE SEARCH PARAMS
GET /Patient?
name=john&
birthDate=lt1870&
address=LA&
...
&_sort=birthDate
SELECT resource
FROM resource r
JOIN string_idx s1
JOIN date_idx d1
JOIN address_idx d1
WHERE ...
SORT BY d1.value
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 20/41
PERFORMANCE & SELECITVITYPERFORMANCE & SELECITVITY
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 21/41
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 22/41
DOCUMENT DATABASES?DOCUMENT DATABASES?
monogodb
couchdb
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 23/41
MONGODBMONGODB
Search in db
db.Patient.find( {
status: active,
$or: [ { birthDate: { $lt: 1980 } } ]
})
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 24/41
DOCUMENT DBS +DOCUMENT DBS +
resources fit docs
in db search
clusters out of the box
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 25/41
DOCUMENT DBS -DOCUMENT DBS -
not mature as relational
transactional interity
query expressivenes (SQL)
but it's changing
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 26/41
FHIRBASE/AIDBOXFHIRBASE/AIDBOX
hybrid approach: doc + sql
Use JSONB
Search on db layer
Get the best from PostgreSQL
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 27/41
FHIRBASE/AIDBOX SCHEMAFHIRBASE/AIDBOX SCHEMA
table per resource type
CREATE TABLE patient (
id text primary key,
resource jsonb
...
);
CREATE TABLE encounter (
id text primary key,
resource jsonb
...
);
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 28/41
FHIRBASE/AIDBOX SEARCHFHIRBASE/AIDBOX SEARCH
search expressions in db
SELECT * FROM patient
WHERE
timestamp(res->>'birthDate') > '1950'
AND timestamp(res->>'birthDate') > '1950'
AND extract(res, 'identifier.where(system = "mrn"))' = '1234
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 29/41
FUNCTIONAL INDICESFUNCTIONAL INDICES
pg ext: jsonknife, jsquery, fhirpath.pg (beta)
CREATE index patient_mrn_idx
ON patient GIN (
extract(resource, 'identifier.where(system = "mrn"))'
);
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 30/41
INDEXING IN DBINDEXING IN DB
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 31/41
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 32/41
ADVANCED PG INDEXINGADVANCED PG INDEXING
SELECT *
FROM patient
WHERE
resource @> $${
"gender": "female",
"active": true,
"identifier": [{"system":"mrn", "value": "000000013"}]}
}$$
CREATE INDEX patient_jsonb_gin
ON patient USING GIN (
resource jsonb_path_ops
);
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 33/41
FHIRBASE/AIDBOXFHIRBASE/AIDBOX
indexing in db (up 10 times faster)
search any element any resource
more space for optimization
SQL as second API
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 34/41
FHIRBASE FOR OTHER DBSFHIRBASE FOR OTHER DBS
JSONpath in SQL standard
Oracle
PostgreSQL
MSSQL
MySQL
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 35/41
ANALYTICS ON FHIRANALYTICS ON FHIR
SQL on FHIR
Analytics on FHIR
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 36/41
SQL ON FHIRSQL ON FHIR
SELECT subject.reference,
AVG(value.quantity.value) avg_hdl
FROM observation o,
UNNEST(o.code.coding) c
WHERE c.system = 'http://loinc.org' AND
c.code = '2085-9' AND
o.effective.datetime > '2017'
GROUP BY subject.reference
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 37/41
IMPLEMENTATIONSIMPLEMENTATIONS
Bunsen: Spark SQL
BigQuery on FHIR
fhirbase: PostgreSQL
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 38/41
STORAGE FORMATSTORAGE FORMAT
structured references
fixed choice types
first class extensions
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 39/41
GETTING STARTEDGETTING STARTED
||
SQL on FHIR tutorials
fhirbase online aidbox online
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 40/41
WELCOME TOWELCOME TO
FHIR COMMUNITY!FHIR COMMUNITY!
6/6/2019 fhir db
https://niquola.github.io/fhir-devdays-2019-slides/?print-pdf#/ 41/41
THANK YOU!THANK YOU!
Nicola (RIO) in zulip
@niquola on github & twitter
niquola@health-samurai.io

More Related Content

Similar to FHIR databases by Nikolai Ryzhikov, PhD at ScaleLA

Similar to FHIR databases by Nikolai Ryzhikov, PhD at ScaleLA (20)

The security phoenix - from the ashes of DEV-OPS Appsec California 2020
The security phoenix - from the ashes of DEV-OPS Appsec California 2020The security phoenix - from the ashes of DEV-OPS Appsec California 2020
The security phoenix - from the ashes of DEV-OPS Appsec California 2020
 
You got database in my cloud!
You got database  in my cloud!You got database  in my cloud!
You got database in my cloud!
 
Serverless survival kit
Serverless survival kitServerless survival kit
Serverless survival kit
 
NYC_2016_slides
NYC_2016_slidesNYC_2016_slides
NYC_2016_slides
 
Sentiment Analysis using Big Data
Sentiment Analysis using Big Data Sentiment Analysis using Big Data
Sentiment Analysis using Big Data
 
How we manage React Microfrontends at JobMatchMe
How we manage React Microfrontends at JobMatchMeHow we manage React Microfrontends at JobMatchMe
How we manage React Microfrontends at JobMatchMe
 
Briefing on the Modern ML Stack with R
 Briefing on the Modern ML Stack with R Briefing on the Modern ML Stack with R
Briefing on the Modern ML Stack with R
 
Participating in the Web of Data
Participating in the Web of DataParticipating in the Web of Data
Participating in the Web of Data
 
MySQL Shell: the best DBA tool ?
MySQL Shell: the best DBA tool ?MySQL Shell: the best DBA tool ?
MySQL Shell: the best DBA tool ?
 
Introduction to PySpark
Introduction to PySparkIntroduction to PySpark
Introduction to PySpark
 
2014-02-06 - Getting Started with Office 365
2014-02-06 - Getting Started with Office 3652014-02-06 - Getting Started with Office 365
2014-02-06 - Getting Started with Office 365
 
Life of PySpark - A tale of two environments
Life of PySpark - A tale of two environmentsLife of PySpark - A tale of two environments
Life of PySpark - A tale of two environments
 
Introduction to pyspark new
Introduction to pyspark newIntroduction to pyspark new
Introduction to pyspark new
 
High scalable applications with Python
High scalable applications with PythonHigh scalable applications with Python
High scalable applications with Python
 
Bdt unit iv data analyics using r
Bdt unit iv data analyics using rBdt unit iv data analyics using r
Bdt unit iv data analyics using r
 
OSCamp 2019 | #3 Ansible: Directing the Director by Martin Schurz
OSCamp 2019 | #3 Ansible: Directing the Director by Martin SchurzOSCamp 2019 | #3 Ansible: Directing the Director by Martin Schurz
OSCamp 2019 | #3 Ansible: Directing the Director by Martin Schurz
 
Research Data Management for Computational Science
Research Data Management for Computational ScienceResearch Data Management for Computational Science
Research Data Management for Computational Science
 
Optimizing Spring Boot apps for Docker
Optimizing Spring Boot apps for DockerOptimizing Spring Boot apps for Docker
Optimizing Spring Boot apps for Docker
 
Enabling Exploratory Analysis of Large Data with Apache Spark and R
Enabling Exploratory Analysis of Large Data with Apache Spark and REnabling Exploratory Analysis of Large Data with Apache Spark and R
Enabling Exploratory Analysis of Large Data with Apache Spark and R
 
Web Application Security Workshop (T3DD19)
Web Application Security Workshop (T3DD19)Web Application Security Workshop (T3DD19)
Web Application Security Workshop (T3DD19)
 

More from HealthDev

More from HealthDev (17)

CMS Interoperability and Patient Access final rule and Health Samurai FHIR pl...
CMS Interoperability and Patient Access final rule and Health Samurai FHIR pl...CMS Interoperability and Patient Access final rule and Health Samurai FHIR pl...
CMS Interoperability and Patient Access final rule and Health Samurai FHIR pl...
 
FHIR® in Action: How UCSF Uses FHIR® to Enable Innovation by Ed Martin
FHIR® in Action: How UCSF Uses FHIR® to Enable Innovation by Ed Martin FHIR® in Action: How UCSF Uses FHIR® to Enable Innovation by Ed Martin
FHIR® in Action: How UCSF Uses FHIR® to Enable Innovation by Ed Martin
 
Google Cloud healthcare data platform and FHIR APIs by Kalyan Pamarthy
Google Cloud healthcare data platform and FHIR APIs by Kalyan PamarthyGoogle Cloud healthcare data platform and FHIR APIs by Kalyan Pamarthy
Google Cloud healthcare data platform and FHIR APIs by Kalyan Pamarthy
 
Oncology data on FHIR, Kaushal Parekh & Sujata Patil
Oncology data on FHIR, Kaushal Parekh & Sujata PatilOncology data on FHIR, Kaushal Parekh & Sujata Patil
Oncology data on FHIR, Kaushal Parekh & Sujata Patil
 
Virtual FHIR meetup introduction
Virtual FHIR meetup introductionVirtual FHIR meetup introduction
Virtual FHIR meetup introduction
 
Pavel Smirnov, Health Samurai - FHIR business opportunities
Pavel Smirnov, Health Samurai - FHIR business opportunitiesPavel Smirnov, Health Samurai - FHIR business opportunities
Pavel Smirnov, Health Samurai - FHIR business opportunities
 
Tarek Ibrahim - Human API introduction
Tarek Ibrahim - Human API introductionTarek Ibrahim - Human API introduction
Tarek Ibrahim - Human API introduction
 
Omar Shaker - How can FHIR Influence our standard of clinical care?
Omar Shaker - How can FHIR Influence our standard of clinical care?Omar Shaker - How can FHIR Influence our standard of clinical care?
Omar Shaker - How can FHIR Influence our standard of clinical care?
 
Anish Arora - Playing With FHIR - A Practical Approach
Anish Arora - Playing With FHIR - A Practical ApproachAnish Arora - Playing With FHIR - A Practical Approach
Anish Arora - Playing With FHIR - A Practical Approach
 
Nick Radov, Payer/Provider - Interoperability & HL7 Da Vinci Project.
Nick Radov, Payer/Provider - Interoperability & HL7 Da Vinci Project.Nick Radov, Payer/Provider - Interoperability & HL7 Da Vinci Project.
Nick Radov, Payer/Provider - Interoperability & HL7 Da Vinci Project.
 
Brendan Keeler - Who Trusts FHIR? Paradigms of Exchange in an API World
Brendan Keeler - Who Trusts FHIR? Paradigms of Exchange in an API WorldBrendan Keeler - Who Trusts FHIR? Paradigms of Exchange in an API World
Brendan Keeler - Who Trusts FHIR? Paradigms of Exchange in an API World
 
Pavel Smirnov. FHIR-first application development.
Pavel Smirnov. FHIR-first application development.Pavel Smirnov. FHIR-first application development.
Pavel Smirnov. FHIR-first application development.
 
Aziz Boxwala, MD, Ph.D. SMART-on-FHIR specification & Sapphire demo.
Aziz Boxwala, MD, Ph.D. SMART-on-FHIR specification & Sapphire demo.Aziz Boxwala, MD, Ph.D. SMART-on-FHIR specification & Sapphire demo.
Aziz Boxwala, MD, Ph.D. SMART-on-FHIR specification & Sapphire demo.
 
Claude Nanjo. Modeling with FHIR. An Introduction to FHIR.
Claude Nanjo. Modeling with FHIR. An Introduction to FHIR.Claude Nanjo. Modeling with FHIR. An Introduction to FHIR.
Claude Nanjo. Modeling with FHIR. An Introduction to FHIR.
 
SMART on FHIR apps by Aziz Boxwala, MD, PhD at ScaleLA
SMART on FHIR apps by Aziz Boxwala, MD, PhD at ScaleLASMART on FHIR apps by Aziz Boxwala, MD, PhD at ScaleLA
SMART on FHIR apps by Aziz Boxwala, MD, PhD at ScaleLA
 
STATE OF MOBILE HEALTH on FHIR by Gora Datta at ScaleLA
STATE OF MOBILE HEALTH on FHIR by Gora Datta at ScaleLASTATE OF MOBILE HEALTH on FHIR by Gora Datta at ScaleLA
STATE OF MOBILE HEALTH on FHIR by Gora Datta at ScaleLA
 
Open mHealth, FHIR and beyond
Open mHealth, FHIR and beyondOpen mHealth, FHIR and beyond
Open mHealth, FHIR and beyond
 

Recently uploaded

Abortion Pill Prices Tembisa [(+27832195400*)] 🏥 Women's Abortion Clinic in T...
Abortion Pill Prices Tembisa [(+27832195400*)] 🏥 Women's Abortion Clinic in T...Abortion Pill Prices Tembisa [(+27832195400*)] 🏥 Women's Abortion Clinic in T...
Abortion Pill Prices Tembisa [(+27832195400*)] 🏥 Women's Abortion Clinic in T...
Medical / Health Care (+971588192166) Mifepristone and Misoprostol tablets 200mg
 
Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024
Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024
Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024
VictoriaMetrics
 

Recently uploaded (20)

Driving Innovation: Scania's API Revolution with WSO2
Driving Innovation: Scania's API Revolution with WSO2Driving Innovation: Scania's API Revolution with WSO2
Driving Innovation: Scania's API Revolution with WSO2
 
Abortion Pill Prices Tembisa [(+27832195400*)] 🏥 Women's Abortion Clinic in T...
Abortion Pill Prices Tembisa [(+27832195400*)] 🏥 Women's Abortion Clinic in T...Abortion Pill Prices Tembisa [(+27832195400*)] 🏥 Women's Abortion Clinic in T...
Abortion Pill Prices Tembisa [(+27832195400*)] 🏥 Women's Abortion Clinic in T...
 
WSO2Con2024 - From Code To Cloud: Fast Track Your Cloud Native Journey with C...
WSO2Con2024 - From Code To Cloud: Fast Track Your Cloud Native Journey with C...WSO2Con2024 - From Code To Cloud: Fast Track Your Cloud Native Journey with C...
WSO2Con2024 - From Code To Cloud: Fast Track Your Cloud Native Journey with C...
 
WSO2Con204 - Hard Rock Presentation - Keynote
WSO2Con204 - Hard Rock Presentation - KeynoteWSO2Con204 - Hard Rock Presentation - Keynote
WSO2Con204 - Hard Rock Presentation - Keynote
 
WSO2Con2024 - Low-Code Integration Tooling
WSO2Con2024 - Low-Code Integration ToolingWSO2Con2024 - Low-Code Integration Tooling
WSO2Con2024 - Low-Code Integration Tooling
 
Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024
Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024
Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024
 
WSO2Con2024 - GitOps in Action: Navigating Application Deployment in the Plat...
WSO2Con2024 - GitOps in Action: Navigating Application Deployment in the Plat...WSO2Con2024 - GitOps in Action: Navigating Application Deployment in the Plat...
WSO2Con2024 - GitOps in Action: Navigating Application Deployment in the Plat...
 
WSO2Con2024 - Navigating the Digital Landscape: Transforming Healthcare with ...
WSO2Con2024 - Navigating the Digital Landscape: Transforming Healthcare with ...WSO2Con2024 - Navigating the Digital Landscape: Transforming Healthcare with ...
WSO2Con2024 - Navigating the Digital Landscape: Transforming Healthcare with ...
 
WSO2CON 2024 - Unlocking the Identity: Embracing CIAM 2.0 for a Competitive A...
WSO2CON 2024 - Unlocking the Identity: Embracing CIAM 2.0 for a Competitive A...WSO2CON 2024 - Unlocking the Identity: Embracing CIAM 2.0 for a Competitive A...
WSO2CON 2024 - Unlocking the Identity: Embracing CIAM 2.0 for a Competitive A...
 
WSO2CON 2024 Slides - Open Source to SaaS
WSO2CON 2024 Slides - Open Source to SaaSWSO2CON 2024 Slides - Open Source to SaaS
WSO2CON 2024 Slides - Open Source to SaaS
 
%in Soweto+277-882-255-28 abortion pills for sale in soweto
%in Soweto+277-882-255-28 abortion pills for sale in soweto%in Soweto+277-882-255-28 abortion pills for sale in soweto
%in Soweto+277-882-255-28 abortion pills for sale in soweto
 
WSO2CON 2024 Slides - Unlocking Value with AI
WSO2CON 2024 Slides - Unlocking Value with AIWSO2CON 2024 Slides - Unlocking Value with AI
WSO2CON 2024 Slides - Unlocking Value with AI
 
Announcing Codolex 2.0 from GDK Software
Announcing Codolex 2.0 from GDK SoftwareAnnouncing Codolex 2.0 from GDK Software
Announcing Codolex 2.0 from GDK Software
 
WSO2CON 2024 - OSU & WSO2: A Decade Journey in Integration & Innovation
WSO2CON 2024 - OSU & WSO2: A Decade Journey in Integration & InnovationWSO2CON 2024 - OSU & WSO2: A Decade Journey in Integration & Innovation
WSO2CON 2024 - OSU & WSO2: A Decade Journey in Integration & Innovation
 
WSO2Con2024 - Unleashing the Financial Potential of 13 Million People
WSO2Con2024 - Unleashing the Financial Potential of 13 Million PeopleWSO2Con2024 - Unleashing the Financial Potential of 13 Million People
WSO2Con2024 - Unleashing the Financial Potential of 13 Million People
 
Devoxx UK 2024 - Going serverless with Quarkus, GraalVM native images and AWS...
Devoxx UK 2024 - Going serverless with Quarkus, GraalVM native images and AWS...Devoxx UK 2024 - Going serverless with Quarkus, GraalVM native images and AWS...
Devoxx UK 2024 - Going serverless with Quarkus, GraalVM native images and AWS...
 
%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein
%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein
%in Stilfontein+277-882-255-28 abortion pills for sale in Stilfontein
 
WSO2Con2024 - Hello Choreo Presentation - Kanchana
WSO2Con2024 - Hello Choreo Presentation - KanchanaWSO2Con2024 - Hello Choreo Presentation - Kanchana
WSO2Con2024 - Hello Choreo Presentation - Kanchana
 
WSO2CON 2024 - Not Just Microservices: Rightsize Your Services!
WSO2CON 2024 - Not Just Microservices: Rightsize Your Services!WSO2CON 2024 - Not Just Microservices: Rightsize Your Services!
WSO2CON 2024 - Not Just Microservices: Rightsize Your Services!
 
WSO2CON 2024 - WSO2's Digital Transformation Journey with Choreo: A Platforml...
WSO2CON 2024 - WSO2's Digital Transformation Journey with Choreo: A Platforml...WSO2CON 2024 - WSO2's Digital Transformation Journey with Choreo: A Platforml...
WSO2CON 2024 - WSO2's Digital Transformation Journey with Choreo: A Platforml...
 

FHIR databases by Nikolai Ryzhikov, PhD at ScaleLA