SlideShare a Scribd company logo
1 of 23
Download to read offline
CCDs or QRDA’s for
eCQM Reporting?
FQHC popHealth Pool Project
■ popHealth is an Open-Source Clinical Quality Measure database
and reporting engine presented through a web-based interface
■ Centralized repository of clinical data
■ Data is sent from EHRs via nationally recognized standards
– Consolidated Clinical Data Architecture (C-CDA) Architecture Continuity of
Care (CCD)Document or QRDA Cat 1
■ Clinical Quality Measures (CQMs) are calculated for providers
and presented through a web-based interface
– Drill down ability to the provider and patient-level data
– Ability to compare a provider to the aggregate
■ Track trends in quality and health over time
■ Identify areas for improvement in workflow and data capture
Data Flow for Population Health
Management
Population Health
Reporting Tool
Providers
Collaborate on
Patient Health
Electronic Medical
Records Database for
Practice
Clinicians
Enter Patient
Data into EMR
Secure Transfer of
Patient Data
popHealth Today for FQHCs
CCD Data
Aggregate Data
popHealth Database
FQHC 1 Data
FQHC 2 Data
FQHC 3 Data
FQHC 4 Data
popHealth
Reporting Tool
 Role-based web access
 MU Stage 1 and 2
Reports
 Overall measures with
ability to drill down
 HIPAA compliant
 Aggregated population
health reports
FQHC 1
EHR
CCD DataFQHC 2
EHR
CCD DataFQHC 3
EHR
CCD DataFQHC 4
EHR
CCD via Batch
Aggregate Data
popHealth Database
Provider Data
Hospital Data
FQHC Data
Other Data
popHealth
Reporting Tool
 Provider CQMs
 DPH Reporting
 DSS/Medicaid
 QRDA Cat III Docs
 Comparison to cohort
 Grant CQMs
 PCMH
 ACO
EHR 1
CCD via DirectEHR 2
QRDA Cat 1EHR 3
QRDA via DirectEHR 4
popHealth Next Generation
■HL7 - Health Level Seven International
■CDA – Clinical Document Architecture (An architecture
with templates for clinical documents e.g. CCDs)
■CCDA – Consolidated Clinical Document Architecture
(Similar to CDA)
■CCD – Continuity of Care Document (A summary
document for a single patient)
■QRDA – Quality Reporting Document Architecture
■HQMF - Health Quality Measure Format (eMeasure)
■eCQM – Electronic Clinical Quality Measure
■CIPCI – Connecticut Institute for Primary Care
Innovation
Acronyms
■ Output of the effort to create one guide that could be used for
implementation and analysis of documents within the CDA standard
■ The Consolidated CDA solution is a library of reusable CDA
templates
■ Templates can be utilized at multiple levels within a CDA document:
– Level 1: Document Level Templates, such as CCD or Discharge
Summary, can be utilized to define a template for the document as a
whole.
– Level 2: Section Level Templates, such as Allergies or Medications, can
be utilized to define what specific information will be included in each
section.
– Level 3: Entry Level Templates, such as specific Observations or
Procedures, can be utilized to define how the information is encoded
within each section.
■ Consolidated CDA has a document level template for CCD
■ QRDA uses parts of C-CDA framework but is not a template
Consolidated CDA
■ HL7 QRDA is a standard document format for the exchange of
electronic clinical quality measure (eCQM) data.
■ QRDA reports contain data extracted from electronic health
records (EHRs) and other information technology systems.
QRDA reports are used for the exchange of eCQM data
between systems for a variety of quality measurement and
reporting initiatives.
■ QRDA makes use of CDA templates, which are business rules
for representing clinical data consistently. Many QRDA
templates are reused from the HL7 Consolidated CDA (C-CDA)
standard.
■ Templates defined in the QRDA Category I and III enable
consistent representations of quality reporting data to streamline
implementations and promote interoperability.
QRDA Architecture
■ A QRDA Category I report is an individual patient quality report.
Each report contains quality data for one patient for one or more
eCQMs, where the data elements in the report are defined by
the particular measure(s) being reported. A QRDA Category I
report contains raw applicable patient data (e.g., the specific
dates of an encounter, the clinical condition) using standardized
coded data (e.g., ICD-9-CM, SNOMED CT®). When pooled and
analyzed, each report contributes the quality data.
■ A QRDA Category III report is a standard structure to use in
reporting aggregate quality measure data. Each report contains
aggregate quality data for one provider for one or more eCQMs.
a necessary to calculate population measure metrics.
QRDA Documents
■ Part of C-CDA Architecture
■ Extensive clinical data
– Allergies: RxNorm*, SNOMED-CT*
– Care Goals, Social History, Medical Equipment: SNOMED-CT*
– Conditions: SNOMED-CT*, ICD-9-CM, ICD-10-CM
– Encounters: CPT
– Immunizations, Medications: RxNorm*, CVX*
– Procedures: CPT, ICD-9-CM, ICD-10-CM, SNOMED-CT*
– Vitals, Results, Assessments: LOINC*, SNOMED-CT*
– Communications: SNOMED-CT
■ * preferred
■ All continuity of care entries are time-stamped
■ Results and vitals must be provided structured with units and
values
Continuity of Care Document
CCD/CCD 1.1
■ Clinical summary document
for patient history of
procedures, encounters,
allergies, medications, etc.
■ Main body of data contains
different sections for
different clinical data
components e.g. medical
history, procedures,
medications, etc.
■ The data sections are larger
and have more general
templates for procedures,
encounters, etc.
CCD vs. QRDA Cat I
QRDA Cat 1
■ QRDA reports are
generated based on a CQM
request. The data contained
in the QRDA file is specific
to certain CQMs.
■ Main body of data is divided
into three segments: -
reporting measure(s) -
reporting parameters (rep
period) - patient data
■ Templates are more specific
and thorough, with smaller
general sub groups.
■ Newer standard – less
tested
CDA and QRDA Comparison
Header (template IDs)
Author, Custodian,
Informant, etc
Patient Information
Provider Information
Structured sections
- Procedures
- Medications
- Problems/Allergies
- Encounters
- Results
Etc.
Header (template IDs)
Author, Custodian,
Legal Authenticator, etc.
Patient Information
Provider Information
Structured sections:
- Procedures
- Medications
- Problems
- Allergies
- Encounters
- Results
Etc.
CCD (CDA) CCD 1.1 (CCDA)
Header (template IDs)
Author, Custodian,
Legal Authenticator, etc
Patient Information
Provider Information
Three 'components'
- Measures
- Reporting parameters
- Patient Data
(aggregate of entries
for various sections)
QRDA Cat 1
Similarities Between CCD and QRDA
■ 2014 CEHRT requires standardized vocabularies to promote the
use of common definitions when sharing information across
diverse clinical environments. Both CCDs and QRDAs benefit
from the standardized vocabulary.
– SnowMed
– CPT
– Loin
– etc
■ QRDA and CCD/CCR overlap considerably in data content.
■ Both utilize C-CDA framework
Pros
■ QRDA Category I carries quality
data tailored to a specific
measure or measure set.
■ QRDA Cat Is align directly with
QRDA Cat IIIs and eMeasures.
■ For widely used CQMs, they are
the most direct and efficient way
to calculate eCQMs.
QRDA Cat I Pros and Cons
Cons
■ QRDAs are new. The use of
the QRDA Category 1 XML
standard has been difficult due
to lack of validation tests and
example QRDA Category 1
XML files.
■ EHRs need to be programmed
to create the QRDA data for
each CQM. Most EHRs will not
support all CQMs.
■ Limited to use for eCQMs
■ If you want to report on a new
eQCM, EHRs need to be
programmed to create the
additional QRDA data set.
CCD Pros and Cons
Pros
■ CCDs carry single-patient data
for transition of care. As a result
they may contain some, but not
all, of the data needed to
determine whether or not a
particular patient meets the
population criteria within a
particular measure.
■ CCD is a comprehensive clinical
data set for a patient. This allows
for ease of implementing new
measures based on data
collected in the EHR.
■ Broad set of clinical data which
can be used outside of
eMeasures.
Cons
■ CCD data is not always
consistent from EHR to EHR.
■ Not developed specifically fro
eCQMs.
■ There is no right answer – it depends on the use case you
have
■ QRDA
– eCQM reporting
■ CCD
– Clinical data repository
– Reporting on eCQMs that are not part of MU
Which to Use?
EMRs to popHealth
http://worldvista.org/login_form
https://app.smartemr.com/patient_portal/pp_main.php
https://www.healthvault.com/us/en
http://cicats10.engr.uconn.edu:10081/ope
nemr
CCR/
CCD
CCR/
CCD
Main Dashboard
Individual Provider Statistics
Individual Provider Dashboard
Measure Criteria
List of Applicable Patients for a Measure
Patient Summary

More Related Content

Viewers also liked

SMART on FHIR by Scot Post van der Burg
SMART on FHIR by Scot Post van der BurgSMART on FHIR by Scot Post van der Burg
SMART on FHIR by Scot Post van der BurgFHIR Developer Days
 
FHIR API for Java programmers by James Agnew
FHIR API for Java programmers by James AgnewFHIR API for Java programmers by James Agnew
FHIR API for Java programmers by James AgnewFHIR Developer Days
 
FHIR architecture overview for non-programmers by René Spronk
FHIR architecture overview for non-programmers by René SpronkFHIR architecture overview for non-programmers by René Spronk
FHIR architecture overview for non-programmers by René SpronkFHIR Developer Days
 
HL7 Clinical Document Architecture: Overview and Applications
HL7 Clinical Document Architecture: Overview and ApplicationsHL7 Clinical Document Architecture: Overview and Applications
HL7 Clinical Document Architecture: Overview and ApplicationsNawanan Theera-Ampornpunt
 
Vitalis 2016 FHIR App Development
Vitalis 2016 FHIR App DevelopmentVitalis 2016 FHIR App Development
Vitalis 2016 FHIR App DevelopmentEwout Kramer
 
Getting started with FHIR by Ewout Kramer
Getting started with FHIR by Ewout KramerGetting started with FHIR by Ewout Kramer
Getting started with FHIR by Ewout KramerFHIR Developer Days
 
Vitalis 2016 FHIR Introduction
Vitalis 2016 FHIR IntroductionVitalis 2016 FHIR Introduction
Vitalis 2016 FHIR IntroductionEwout Kramer
 
FHIR Tutorial - Morning
FHIR Tutorial - MorningFHIR Tutorial - Morning
FHIR Tutorial - MorningEwout Kramer
 
FHIR - more than the basics
FHIR - more than the basicsFHIR - more than the basics
FHIR - more than the basicsEwout Kramer
 
FHIR Profiling tutorial
FHIR Profiling tutorialFHIR Profiling tutorial
FHIR Profiling tutorialEwout Kramer
 
Rolling out FHIR - architecture and implementation considerations by Lloyd Mc...
Rolling out FHIR - architecture and implementation considerations by Lloyd Mc...Rolling out FHIR - architecture and implementation considerations by Lloyd Mc...
Rolling out FHIR - architecture and implementation considerations by Lloyd Mc...FHIR Developer Days
 
FHIR tutorial - Afternoon
FHIR tutorial - AfternoonFHIR tutorial - Afternoon
FHIR tutorial - AfternoonEwout Kramer
 
HL7 Fhir for Developers
HL7 Fhir for DevelopersHL7 Fhir for Developers
HL7 Fhir for DevelopersEwout Kramer
 
Introduction to FHIR™
Introduction to FHIR™Introduction to FHIR™
Introduction to FHIR™Grahame Grieve
 
Fundamentals of HL7 CDA & Implementing HL7 CDA
Fundamentals of HL7 CDA & Implementing HL7 CDAFundamentals of HL7 CDA & Implementing HL7 CDA
Fundamentals of HL7 CDA & Implementing HL7 CDAHL7 New Zealand
 

Viewers also liked (17)

SMART on FHIR by Scot Post van der Burg
SMART on FHIR by Scot Post van der BurgSMART on FHIR by Scot Post van der Burg
SMART on FHIR by Scot Post van der Burg
 
FHIR API for Java programmers by James Agnew
FHIR API for Java programmers by James AgnewFHIR API for Java programmers by James Agnew
FHIR API for Java programmers by James Agnew
 
FHIR architecture overview for non-programmers by René Spronk
FHIR architecture overview for non-programmers by René SpronkFHIR architecture overview for non-programmers by René Spronk
FHIR architecture overview for non-programmers by René Spronk
 
FHIR REST API
FHIR REST APIFHIR REST API
FHIR REST API
 
Introduction to HL7 FHIR
Introduction to HL7 FHIRIntroduction to HL7 FHIR
Introduction to HL7 FHIR
 
HL7 Clinical Document Architecture: Overview and Applications
HL7 Clinical Document Architecture: Overview and ApplicationsHL7 Clinical Document Architecture: Overview and Applications
HL7 Clinical Document Architecture: Overview and Applications
 
Vitalis 2016 FHIR App Development
Vitalis 2016 FHIR App DevelopmentVitalis 2016 FHIR App Development
Vitalis 2016 FHIR App Development
 
Getting started with FHIR by Ewout Kramer
Getting started with FHIR by Ewout KramerGetting started with FHIR by Ewout Kramer
Getting started with FHIR by Ewout Kramer
 
Vitalis 2016 FHIR Introduction
Vitalis 2016 FHIR IntroductionVitalis 2016 FHIR Introduction
Vitalis 2016 FHIR Introduction
 
FHIR Tutorial - Morning
FHIR Tutorial - MorningFHIR Tutorial - Morning
FHIR Tutorial - Morning
 
FHIR - more than the basics
FHIR - more than the basicsFHIR - more than the basics
FHIR - more than the basics
 
FHIR Profiling tutorial
FHIR Profiling tutorialFHIR Profiling tutorial
FHIR Profiling tutorial
 
Rolling out FHIR - architecture and implementation considerations by Lloyd Mc...
Rolling out FHIR - architecture and implementation considerations by Lloyd Mc...Rolling out FHIR - architecture and implementation considerations by Lloyd Mc...
Rolling out FHIR - architecture and implementation considerations by Lloyd Mc...
 
FHIR tutorial - Afternoon
FHIR tutorial - AfternoonFHIR tutorial - Afternoon
FHIR tutorial - Afternoon
 
HL7 Fhir for Developers
HL7 Fhir for DevelopersHL7 Fhir for Developers
HL7 Fhir for Developers
 
Introduction to FHIR™
Introduction to FHIR™Introduction to FHIR™
Introduction to FHIR™
 
Fundamentals of HL7 CDA & Implementing HL7 CDA
Fundamentals of HL7 CDA & Implementing HL7 CDAFundamentals of HL7 CDA & Implementing HL7 CDA
Fundamentals of HL7 CDA & Implementing HL7 CDA
 

Similar to CCDs or QRDAs for eCQM Reporting

® Population Health and Clinical Quality Measure Reporting System 9-11-14
® Population Health and Clinical Quality Measure Reporting System 9-11-14® Population Health and Clinical Quality Measure Reporting System 9-11-14
® Population Health and Clinical Quality Measure Reporting System 9-11-14SMC Partners, LLC
 
lecture 10a
lecture 10alecture 10a
lecture 10aCMDLMS
 
Health Science Data and Metadata: Trends and Needs
Health Science Data and Metadata: Trends and NeedsHealth Science Data and Metadata: Trends and Needs
Health Science Data and Metadata: Trends and NeedsLynne Frederickson
 
Clinical Data Management Plan_Katalyst HLS
Clinical Data Management Plan_Katalyst HLSClinical Data Management Plan_Katalyst HLS
Clinical Data Management Plan_Katalyst HLSKatalyst HLS
 
Quirk Healthcare: 2014 HIT Road Map
Quirk Healthcare: 2014 HIT Road MapQuirk Healthcare: 2014 HIT Road Map
Quirk Healthcare: 2014 HIT Road MapBen Quirk
 
Clinical data management
Clinical data managementClinical data management
Clinical data managementDibakarGhosh15
 
Nalashaa - EHR Certification measures for the Quality Payment Program
Nalashaa - EHR Certification measures for the Quality Payment Program Nalashaa - EHR Certification measures for the Quality Payment Program
Nalashaa - EHR Certification measures for the Quality Payment Program Nalashaa Healthcare Solutions
 
Clinical Data Management
Clinical Data ManagementClinical Data Management
Clinical Data ManagementDABBETA DIVYA
 
Mdds sundararaman 12th meeting
Mdds  sundararaman 12th meetingMdds  sundararaman 12th meeting
Mdds sundararaman 12th meetingPankaj Gupta
 
HL7 Synthetic CDA generator -Final presentation
HL7 Synthetic CDA generator -Final presentationHL7 Synthetic CDA generator -Final presentation
HL7 Synthetic CDA generator -Final presentationNikhil Kassetty
 
Systematic review of quality standards for medical devices and practice measu...
Systematic review of quality standards for medical devices and practice measu...Systematic review of quality standards for medical devices and practice measu...
Systematic review of quality standards for medical devices and practice measu...Pubrica
 
Clinical data-management-overview
Clinical data-management-overviewClinical data-management-overview
Clinical data-management-overviewAcri India
 
[Hongsermeier] clinical decision support services amdis final
[Hongsermeier] clinical decision support services amdis final[Hongsermeier] clinical decision support services amdis final
[Hongsermeier] clinical decision support services amdis finalTrimed Media Group
 
Systematic review of quality standards for medical devices and practice measu...
Systematic review of quality standards for medical devices and practice measu...Systematic review of quality standards for medical devices and practice measu...
Systematic review of quality standards for medical devices and practice measu...Pubrica
 
Data Management in Clinical Research
Data Management in Clinical ResearchData Management in Clinical Research
Data Management in Clinical Researchijtsrd
 
Analytical wizards patient_claims_analytics linkedin
Analytical wizards patient_claims_analytics linkedinAnalytical wizards patient_claims_analytics linkedin
Analytical wizards patient_claims_analytics linkedinEric Levin
 
Leveraging emerging standards for patient engagement pcha
Leveraging emerging standards for patient engagement pchaLeveraging emerging standards for patient engagement pcha
Leveraging emerging standards for patient engagement pchamHealth2015
 

Similar to CCDs or QRDAs for eCQM Reporting (20)

® Population Health and Clinical Quality Measure Reporting System 9-11-14
® Population Health and Clinical Quality Measure Reporting System 9-11-14® Population Health and Clinical Quality Measure Reporting System 9-11-14
® Population Health and Clinical Quality Measure Reporting System 9-11-14
 
lecture 10a
lecture 10alecture 10a
lecture 10a
 
Health Science Data and Metadata: Trends and Needs
Health Science Data and Metadata: Trends and NeedsHealth Science Data and Metadata: Trends and Needs
Health Science Data and Metadata: Trends and Needs
 
Meaningful use stage 3 - Nalashaa capabilities
Meaningful use stage 3 - Nalashaa capabilitiesMeaningful use stage 3 - Nalashaa capabilities
Meaningful use stage 3 - Nalashaa capabilities
 
Clinical Data Management Plan_Katalyst HLS
Clinical Data Management Plan_Katalyst HLSClinical Data Management Plan_Katalyst HLS
Clinical Data Management Plan_Katalyst HLS
 
Quirk Healthcare: 2014 HIT Road Map
Quirk Healthcare: 2014 HIT Road MapQuirk Healthcare: 2014 HIT Road Map
Quirk Healthcare: 2014 HIT Road Map
 
Clinical data management
Clinical data managementClinical data management
Clinical data management
 
Nalashaa - EHR Certification measures for the Quality Payment Program
Nalashaa - EHR Certification measures for the Quality Payment Program Nalashaa - EHR Certification measures for the Quality Payment Program
Nalashaa - EHR Certification measures for the Quality Payment Program
 
Clinical Data Management
Clinical Data ManagementClinical Data Management
Clinical Data Management
 
Mdds sundararaman 12th meeting
Mdds  sundararaman 12th meetingMdds  sundararaman 12th meeting
Mdds sundararaman 12th meeting
 
MDDS & NDHB Principles
MDDS & NDHB PrinciplesMDDS & NDHB Principles
MDDS & NDHB Principles
 
HL7 Synthetic CDA generator -Final presentation
HL7 Synthetic CDA generator -Final presentationHL7 Synthetic CDA generator -Final presentation
HL7 Synthetic CDA generator -Final presentation
 
Systematic review of quality standards for medical devices and practice measu...
Systematic review of quality standards for medical devices and practice measu...Systematic review of quality standards for medical devices and practice measu...
Systematic review of quality standards for medical devices and practice measu...
 
Clinical data-management-overview
Clinical data-management-overviewClinical data-management-overview
Clinical data-management-overview
 
[Hongsermeier] clinical decision support services amdis final
[Hongsermeier] clinical decision support services amdis final[Hongsermeier] clinical decision support services amdis final
[Hongsermeier] clinical decision support services amdis final
 
Systematic review of quality standards for medical devices and practice measu...
Systematic review of quality standards for medical devices and practice measu...Systematic review of quality standards for medical devices and practice measu...
Systematic review of quality standards for medical devices and practice measu...
 
Data Management in Clinical Research
Data Management in Clinical ResearchData Management in Clinical Research
Data Management in Clinical Research
 
Analytical wizards patient_claims_analytics linkedin
Analytical wizards patient_claims_analytics linkedinAnalytical wizards patient_claims_analytics linkedin
Analytical wizards patient_claims_analytics linkedin
 
SNOMED CT-A technologist's Perspective
SNOMED CT-A technologist's PerspectiveSNOMED CT-A technologist's Perspective
SNOMED CT-A technologist's Perspective
 
Leveraging emerging standards for patient engagement pcha
Leveraging emerging standards for patient engagement pchaLeveraging emerging standards for patient engagement pcha
Leveraging emerging standards for patient engagement pcha
 

Recently uploaded

raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetraisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Book me...
Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Book me...Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Book me...
Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Book me...gragteena
 
Call Girl Price Amritsar ❤️🍑 9053900678 Call Girls in Amritsar Suman
Call Girl Price Amritsar ❤️🍑 9053900678 Call Girls in Amritsar SumanCall Girl Price Amritsar ❤️🍑 9053900678 Call Girls in Amritsar Suman
Call Girl Price Amritsar ❤️🍑 9053900678 Call Girls in Amritsar SumanCall Girls Service Chandigarh Ayushi
 
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.ktanvi103
 
💚😋Kolkata Escort Service Call Girls, ₹5000 To 25K With AC💚😋
💚😋Kolkata Escort Service Call Girls, ₹5000 To 25K With AC💚😋💚😋Kolkata Escort Service Call Girls, ₹5000 To 25K With AC💚😋
💚😋Kolkata Escort Service Call Girls, ₹5000 To 25K With AC💚😋Sheetaleventcompany
 
Udaipur Call Girls 📲 9999965857 Call Girl in Udaipur
Udaipur Call Girls 📲 9999965857 Call Girl in UdaipurUdaipur Call Girls 📲 9999965857 Call Girl in Udaipur
Udaipur Call Girls 📲 9999965857 Call Girl in Udaipurseemahedar019
 
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near MeVIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Memriyagarg453
 
Hot Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In Ludhiana
Hot  Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In LudhianaHot  Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In Ludhiana
Hot Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In LudhianaRussian Call Girls in Ludhiana
 
Nepali Escort Girl * 9999965857 Naughty Call Girls Service in Faridabad
Nepali Escort Girl * 9999965857 Naughty Call Girls Service in FaridabadNepali Escort Girl * 9999965857 Naughty Call Girls Service in Faridabad
Nepali Escort Girl * 9999965857 Naughty Call Girls Service in Faridabadgragteena
 
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near MeVIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Memriyagarg453
 
Dehradun Call Girls Service 08854095900 Real Russian Girls Looking Models
Dehradun Call Girls Service 08854095900 Real Russian Girls Looking ModelsDehradun Call Girls Service 08854095900 Real Russian Girls Looking Models
Dehradun Call Girls Service 08854095900 Real Russian Girls Looking Modelsindiancallgirl4rent
 
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7Miss joya
 
Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8923113531 ...
Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8923113531 ...Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8923113531 ...
Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8923113531 ...gurkirankumar98700
 
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅gragmanisha42
 
VIP Kolkata Call Girl New Town 👉 8250192130 Available With Room
VIP Kolkata Call Girl New Town 👉 8250192130  Available With RoomVIP Kolkata Call Girl New Town 👉 8250192130  Available With Room
VIP Kolkata Call Girl New Town 👉 8250192130 Available With Roomdivyansh0kumar0
 
❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR Call G...
❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR   Call G...❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR   Call G...
❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR Call G...Gfnyt.com
 
VIP Call Girls Sector 67 Gurgaon Just Call Me 9711199012
VIP Call Girls Sector 67 Gurgaon Just Call Me 9711199012VIP Call Girls Sector 67 Gurgaon Just Call Me 9711199012
VIP Call Girls Sector 67 Gurgaon Just Call Me 9711199012Call Girls Service Gurgaon
 
Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510Vipesco
 
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real MeetCall Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meetpriyashah722354
 
Call Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 

Recently uploaded (20)

raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetraisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
raisen Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Book me...
Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Book me...Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Book me...
Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Book me...
 
Call Girl Price Amritsar ❤️🍑 9053900678 Call Girls in Amritsar Suman
Call Girl Price Amritsar ❤️🍑 9053900678 Call Girls in Amritsar SumanCall Girl Price Amritsar ❤️🍑 9053900678 Call Girls in Amritsar Suman
Call Girl Price Amritsar ❤️🍑 9053900678 Call Girls in Amritsar Suman
 
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
 
💚😋Kolkata Escort Service Call Girls, ₹5000 To 25K With AC💚😋
💚😋Kolkata Escort Service Call Girls, ₹5000 To 25K With AC💚😋💚😋Kolkata Escort Service Call Girls, ₹5000 To 25K With AC💚😋
💚😋Kolkata Escort Service Call Girls, ₹5000 To 25K With AC💚😋
 
Udaipur Call Girls 📲 9999965857 Call Girl in Udaipur
Udaipur Call Girls 📲 9999965857 Call Girl in UdaipurUdaipur Call Girls 📲 9999965857 Call Girl in Udaipur
Udaipur Call Girls 📲 9999965857 Call Girl in Udaipur
 
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near MeVIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
 
Hot Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In Ludhiana
Hot  Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In LudhianaHot  Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In Ludhiana
Hot Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In Ludhiana
 
Nepali Escort Girl * 9999965857 Naughty Call Girls Service in Faridabad
Nepali Escort Girl * 9999965857 Naughty Call Girls Service in FaridabadNepali Escort Girl * 9999965857 Naughty Call Girls Service in Faridabad
Nepali Escort Girl * 9999965857 Naughty Call Girls Service in Faridabad
 
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near MeVIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
 
Dehradun Call Girls Service 08854095900 Real Russian Girls Looking Models
Dehradun Call Girls Service 08854095900 Real Russian Girls Looking ModelsDehradun Call Girls Service 08854095900 Real Russian Girls Looking Models
Dehradun Call Girls Service 08854095900 Real Russian Girls Looking Models
 
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
 
Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8923113531 ...
Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8923113531 ...Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8923113531 ...
Russian Call Girls Lucknow ₹7.5k Pick Up & Drop With Cash Payment 8923113531 ...
 
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
 
VIP Kolkata Call Girl New Town 👉 8250192130 Available With Room
VIP Kolkata Call Girl New Town 👉 8250192130  Available With RoomVIP Kolkata Call Girl New Town 👉 8250192130  Available With Room
VIP Kolkata Call Girl New Town 👉 8250192130 Available With Room
 
❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR Call G...
❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR   Call G...❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR   Call G...
❤️♀️@ Jaipur Call Girls ❤️♀️@ Meghna Jaipur Call Girls Number CRTHNR Call G...
 
VIP Call Girls Sector 67 Gurgaon Just Call Me 9711199012
VIP Call Girls Sector 67 Gurgaon Just Call Me 9711199012VIP Call Girls Sector 67 Gurgaon Just Call Me 9711199012
VIP Call Girls Sector 67 Gurgaon Just Call Me 9711199012
 
Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510
 
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real MeetCall Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
 
Call Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Hyderabad Just Call 9907093804 Top Class Call Girl Service Available
 

CCDs or QRDAs for eCQM Reporting

  • 1. CCDs or QRDA’s for eCQM Reporting?
  • 2. FQHC popHealth Pool Project ■ popHealth is an Open-Source Clinical Quality Measure database and reporting engine presented through a web-based interface ■ Centralized repository of clinical data ■ Data is sent from EHRs via nationally recognized standards – Consolidated Clinical Data Architecture (C-CDA) Architecture Continuity of Care (CCD)Document or QRDA Cat 1 ■ Clinical Quality Measures (CQMs) are calculated for providers and presented through a web-based interface – Drill down ability to the provider and patient-level data – Ability to compare a provider to the aggregate ■ Track trends in quality and health over time ■ Identify areas for improvement in workflow and data capture
  • 3. Data Flow for Population Health Management Population Health Reporting Tool Providers Collaborate on Patient Health Electronic Medical Records Database for Practice Clinicians Enter Patient Data into EMR Secure Transfer of Patient Data
  • 4. popHealth Today for FQHCs CCD Data Aggregate Data popHealth Database FQHC 1 Data FQHC 2 Data FQHC 3 Data FQHC 4 Data popHealth Reporting Tool  Role-based web access  MU Stage 1 and 2 Reports  Overall measures with ability to drill down  HIPAA compliant  Aggregated population health reports FQHC 1 EHR CCD DataFQHC 2 EHR CCD DataFQHC 3 EHR CCD DataFQHC 4 EHR
  • 5. CCD via Batch Aggregate Data popHealth Database Provider Data Hospital Data FQHC Data Other Data popHealth Reporting Tool  Provider CQMs  DPH Reporting  DSS/Medicaid  QRDA Cat III Docs  Comparison to cohort  Grant CQMs  PCMH  ACO EHR 1 CCD via DirectEHR 2 QRDA Cat 1EHR 3 QRDA via DirectEHR 4 popHealth Next Generation
  • 6. ■HL7 - Health Level Seven International ■CDA – Clinical Document Architecture (An architecture with templates for clinical documents e.g. CCDs) ■CCDA – Consolidated Clinical Document Architecture (Similar to CDA) ■CCD – Continuity of Care Document (A summary document for a single patient) ■QRDA – Quality Reporting Document Architecture ■HQMF - Health Quality Measure Format (eMeasure) ■eCQM – Electronic Clinical Quality Measure ■CIPCI – Connecticut Institute for Primary Care Innovation Acronyms
  • 7. ■ Output of the effort to create one guide that could be used for implementation and analysis of documents within the CDA standard ■ The Consolidated CDA solution is a library of reusable CDA templates ■ Templates can be utilized at multiple levels within a CDA document: – Level 1: Document Level Templates, such as CCD or Discharge Summary, can be utilized to define a template for the document as a whole. – Level 2: Section Level Templates, such as Allergies or Medications, can be utilized to define what specific information will be included in each section. – Level 3: Entry Level Templates, such as specific Observations or Procedures, can be utilized to define how the information is encoded within each section. ■ Consolidated CDA has a document level template for CCD ■ QRDA uses parts of C-CDA framework but is not a template Consolidated CDA
  • 8. ■ HL7 QRDA is a standard document format for the exchange of electronic clinical quality measure (eCQM) data. ■ QRDA reports contain data extracted from electronic health records (EHRs) and other information technology systems. QRDA reports are used for the exchange of eCQM data between systems for a variety of quality measurement and reporting initiatives. ■ QRDA makes use of CDA templates, which are business rules for representing clinical data consistently. Many QRDA templates are reused from the HL7 Consolidated CDA (C-CDA) standard. ■ Templates defined in the QRDA Category I and III enable consistent representations of quality reporting data to streamline implementations and promote interoperability. QRDA Architecture
  • 9. ■ A QRDA Category I report is an individual patient quality report. Each report contains quality data for one patient for one or more eCQMs, where the data elements in the report are defined by the particular measure(s) being reported. A QRDA Category I report contains raw applicable patient data (e.g., the specific dates of an encounter, the clinical condition) using standardized coded data (e.g., ICD-9-CM, SNOMED CT®). When pooled and analyzed, each report contributes the quality data. ■ A QRDA Category III report is a standard structure to use in reporting aggregate quality measure data. Each report contains aggregate quality data for one provider for one or more eCQMs. a necessary to calculate population measure metrics. QRDA Documents
  • 10. ■ Part of C-CDA Architecture ■ Extensive clinical data – Allergies: RxNorm*, SNOMED-CT* – Care Goals, Social History, Medical Equipment: SNOMED-CT* – Conditions: SNOMED-CT*, ICD-9-CM, ICD-10-CM – Encounters: CPT – Immunizations, Medications: RxNorm*, CVX* – Procedures: CPT, ICD-9-CM, ICD-10-CM, SNOMED-CT* – Vitals, Results, Assessments: LOINC*, SNOMED-CT* – Communications: SNOMED-CT ■ * preferred ■ All continuity of care entries are time-stamped ■ Results and vitals must be provided structured with units and values Continuity of Care Document
  • 11. CCD/CCD 1.1 ■ Clinical summary document for patient history of procedures, encounters, allergies, medications, etc. ■ Main body of data contains different sections for different clinical data components e.g. medical history, procedures, medications, etc. ■ The data sections are larger and have more general templates for procedures, encounters, etc. CCD vs. QRDA Cat I QRDA Cat 1 ■ QRDA reports are generated based on a CQM request. The data contained in the QRDA file is specific to certain CQMs. ■ Main body of data is divided into three segments: - reporting measure(s) - reporting parameters (rep period) - patient data ■ Templates are more specific and thorough, with smaller general sub groups. ■ Newer standard – less tested
  • 12. CDA and QRDA Comparison Header (template IDs) Author, Custodian, Informant, etc Patient Information Provider Information Structured sections - Procedures - Medications - Problems/Allergies - Encounters - Results Etc. Header (template IDs) Author, Custodian, Legal Authenticator, etc. Patient Information Provider Information Structured sections: - Procedures - Medications - Problems - Allergies - Encounters - Results Etc. CCD (CDA) CCD 1.1 (CCDA) Header (template IDs) Author, Custodian, Legal Authenticator, etc Patient Information Provider Information Three 'components' - Measures - Reporting parameters - Patient Data (aggregate of entries for various sections) QRDA Cat 1
  • 13. Similarities Between CCD and QRDA ■ 2014 CEHRT requires standardized vocabularies to promote the use of common definitions when sharing information across diverse clinical environments. Both CCDs and QRDAs benefit from the standardized vocabulary. – SnowMed – CPT – Loin – etc ■ QRDA and CCD/CCR overlap considerably in data content. ■ Both utilize C-CDA framework
  • 14. Pros ■ QRDA Category I carries quality data tailored to a specific measure or measure set. ■ QRDA Cat Is align directly with QRDA Cat IIIs and eMeasures. ■ For widely used CQMs, they are the most direct and efficient way to calculate eCQMs. QRDA Cat I Pros and Cons Cons ■ QRDAs are new. The use of the QRDA Category 1 XML standard has been difficult due to lack of validation tests and example QRDA Category 1 XML files. ■ EHRs need to be programmed to create the QRDA data for each CQM. Most EHRs will not support all CQMs. ■ Limited to use for eCQMs ■ If you want to report on a new eQCM, EHRs need to be programmed to create the additional QRDA data set.
  • 15. CCD Pros and Cons Pros ■ CCDs carry single-patient data for transition of care. As a result they may contain some, but not all, of the data needed to determine whether or not a particular patient meets the population criteria within a particular measure. ■ CCD is a comprehensive clinical data set for a patient. This allows for ease of implementing new measures based on data collected in the EHR. ■ Broad set of clinical data which can be used outside of eMeasures. Cons ■ CCD data is not always consistent from EHR to EHR. ■ Not developed specifically fro eCQMs.
  • 16. ■ There is no right answer – it depends on the use case you have ■ QRDA – eCQM reporting ■ CCD – Clinical data repository – Reporting on eCQMs that are not part of MU Which to Use?
  • 22. List of Applicable Patients for a Measure