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Philips HealthSuite Digital Platform and Interoperability

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Page 1: Philips HealthSuite Digital Platform and InteroperabilityHealthSuite digital platform services . Analyze Framework to build contextual predictive analytics and decision support algorithms

Philips HealthSuite Digital Platform and Interoperability

Page 2: Philips HealthSuite Digital Platform and InteroperabilityHealthSuite digital platform services . Analyze Framework to build contextual predictive analytics and decision support algorithms

Developing innovative solutions across the continuum of care

Improving patient outcomes, provide better value, and expand access to care.

Page 3: Philips HealthSuite Digital Platform and InteroperabilityHealthSuite digital platform services . Analyze Framework to build contextual predictive analytics and decision support algorithms

HealthSuite digital platform services

Analyze

Framework to build contextual predictive analytics and decision support algorithms and employ machine learning functionality

Orchestrate

Tools for workflow optimization, rules management, routine task automation, and communications coordination

Share

Standards-based interoperability between enabled apps and devices with third-party systems via FHIR, HL7, DICOM, IHE profiles, etc.

Authorize

Securely identify and log all system users, authorize consent and ensure data privacy

Connect

Manage, update, monitor, and remotely control smart devices and apps; deploy at scale with robust IoT tech

Store

Acquire, manage and archive clinical data from devices and apps through a secure cloud-hosted repository

Host

Managed infrastructure to deploy and continuously monitor app performance and systems health status

Page 4: Philips HealthSuite Digital Platform and InteroperabilityHealthSuite digital platform services . Analyze Framework to build contextual predictive analytics and decision support algorithms
Page 5: Philips HealthSuite Digital Platform and InteroperabilityHealthSuite digital platform services . Analyze Framework to build contextual predictive analytics and decision support algorithms
Page 6: Philips HealthSuite Digital Platform and InteroperabilityHealthSuite digital platform services . Analyze Framework to build contextual predictive analytics and decision support algorithms

Hospital 1 Hospital 2

Patient Cross Referencing

MPI

HL7 V2&V3 Patient Feed, patient add/update

EMR 1 EMPI

EMR 2

PIX/PDQ

Patient: Name: John Smith DOB: 20141231 Gender: Male MRN: abcd^^1.2.3.4

Patient: Name: Johnson Smith DOB: 20141231 Gender: Male MRN: xyz^^4.5.6.7

Patient aggregate: ID: Philips0001^^9.9.9.9 Patient Fragments: [ Fragment1: { Name: John Smith DOB: 20141231 Gender: Male MRN: abcd^^1.2.3.4 }, Fragment2: { Name: Johnson Smith DOB: 20141231 Gender: Male MRN: xyz^^4.5.6.7 } ]

HL7 V2&V3 Patient Feed, patient add/update

Page 7: Philips HealthSuite Digital Platform and InteroperabilityHealthSuite digital platform services . Analyze Framework to build contextual predictive analytics and decision support algorithms

Hospital 1 HSDP IHE Service Hospital 2

Document Registry & Repository

MPI

ebXML Document Source

EMR 1 EMPI

EMR 2

XDS.b Reg/Rep

Patient: Name: John Smith DOB: 20141231 Gender: Male MRN: abcd^^1.2.3.4 Patient’s document(s): Type: CDA

Patient: Name: Johnson Smith DOB: 20141231 Gender: Male MRN: xyz^^4.5.6.7 Patient’s document(s): Type: CDA

XDS.b Repository: Binary: CDA XML payload XDS.b Registry: Metadata: CDA Metadata Registry contains the MRN and EMPI ID of the Patient to whom the document belongs to.

ebXML Document Source

XDS

Page 8: Philips HealthSuite Digital Platform and InteroperabilityHealthSuite digital platform services . Analyze Framework to build contextual predictive analytics and decision support algorithms

EMR1

HL7 Broker

FHIR API

EMPI

EMR2

FHIR POST /Patient

Step 1: EMPI Subscription for Patient in CDR Step 2: EMR1 adds Patient-1 with MRN1 into CDR Step 3: CDR sends a copy of the payload to EMPI Step 4: EMPI finds no matching patient(s), creates a new aggregate (with ATNA for Patient Add) Step 5: EMR2 adds Patient-2 with MRN2 into CDR Step 6: CDR sends a copy of the payload to EMPI Step 7: EMPI finds Patient-2 matches to Patient-1, and cross references them in same aggregate (with ATNA for Patient Add) Step 8: EMPI Updates CDR with Patient-1 linked to Patient-2 (with ATNA for Patient Update to CDR) Step 9: EMPI Updates CDR with Patient-2 linked to Patient-1 (with ATNA for Patient Update to CDR)

HL7V2

CDR DB

EMPI DB

Patient Cross-Ref with FHIR

Page 9: Philips HealthSuite Digital Platform and InteroperabilityHealthSuite digital platform services . Analyze Framework to build contextual predictive analytics and decision support algorithms

EMR1

HL7

Broker

FHIR API

EMPI

EMR2

FHIR POST /Patient Translate to HL7V3

FHIR POST /Patient

CDR: Patient { _id1 identifiers{ MRN1 } link { _id2 _aggreID1 } } Patient { _id2 identifiers{ MRN2 } link { _id1 } } EMPI: Aggr: 9.9.9.9^^123 Frag1: MRN1 Frag2: MRN2

Translate to HL7V3 & cross reference

HL7V2

CDR DB

EMPI DB

Deployment Scenario

Page 10: Philips HealthSuite Digital Platform and InteroperabilityHealthSuite digital platform services . Analyze Framework to build contextual predictive analytics and decision support algorithms

Public Health Reporting Workflow

Form Filler

IHE Services RFD

Form

Processor

External Agencies like

CDC etc

(Form Receiver)

3. Retrieve Form

5. Return Form with

pre-pop data

6. Submit Form 7. Submit Form

8. Return clarifications

clarifications

9. Store Clarifications

archives

10. Archive Form

11. Archive Form

12. Query for Clarifications

config

3. Get Form templates & configurations

13. Get

EMR IHE

XDS.b Reg/Rep 1. P&R

4. Retrieve CDA for pre-pop data

SDC compliant form

template

SDC compliant form presentation

SDC compliant schema for transactions

CDR FHIR Composition

2. FHIR Composition

Structured Data Capture

Page 11: Philips HealthSuite Digital Platform and InteroperabilityHealthSuite digital platform services . Analyze Framework to build contextual predictive analytics and decision support algorithms

RFD/SDC

NYSCR • 325 Attributes • CDA • Use SDC for providing rich editing capabilities

PRPH-Ca • ~500 Attributes • CDA • Subset of NAACCR Attributes • aligned with Meaningful use case 2

NAACCR

S & I Framework

• Uses SDC Profile • Newer specification

• Most comprehensive attributes (>1000)

• IHE Profile based infrastructure for Public Health Reporting

Page 12: Philips HealthSuite Digital Platform and InteroperabilityHealthSuite digital platform services . Analyze Framework to build contextual predictive analytics and decision support algorithms

Questions Thank you for attending our presentation!