Enterprise Information Governance: Connecting Health Information Management with Health Information Technology

Transcription

1 Enterprise Infrmatin Gvernance: Cnnecting Health Infrmatin Management with Health Infrmatin Technlgy Michael Nusbaum Kathleen Addisn June 2,

2 Outline 1. What is Enterprise Infrmatin Gvernance (EIG) 2. The chasm between IT and IM: clsing the gaps 3. Case Study: EIG at Alberta Health Services 4. The Future 5. Questins & Discussin 2

3 The Infrmatin Explsin Technlgy advances mbile devices Telemedicine Sensrs, internet f things Expnential grwth in the vlume and cmplexity Infrmatin & Data System generated Patient generated Genmics Scial Media 3

4 The Infrmatin Explsin Health Refrm: changes in delivery system, payment mdels, etc. Increased crdinatin f care acrss the cntinuum Ppulatin health management Data capture, dcumentatin practices and interperability: emergence f standards Legislatin, regulatin, best practices 4

5 Infrmatin Imperative Capture Prcess Infrmatin Lifecycle Use Stre Share Dispse 5

6 What is Enterprise Infrmatin Gvernance? An enterprise wide framewrk fr managing infrmatin thrughut its lifecycle and supprting the rganizatin s strategy, peratins, regulatry, legal, risk, and envirnmental requirements 6

7 Enterprise Infrmatin Gvernance addresses: Wh is accuntable fr what Hw infrmatin strategy aligns with the rganizatin s gals Hw infrmatin is valued fr preservatin/retentin/managing assciated csts Rles, plicies Standards (data and infrmatin management) Metrics 7

8 What Falls under EIG? In General: Data standards, integrity and quality Privacy and security Disaster preparedness and business cntinuity Litigatin respnse/ e discvery Lifecycle management/ preservatin/ retentin Health care specific: Clinical dcumentatin imprvement Clinical cntent management Legal Health Recrd/Designated Recrds Set plicy Other 8

9 Haven t we always had Enterprise Infrmatin Gvernance? Yes, we have sme f the elements relative t sme plicies/prcesses/structures N, differences are: Strategic rientatin Enterprise fcused, ges well beynd nly health infrmatin t include all types, internal as well as external Business strategies (eg. Master Data Management) 9

10 AHIMA Infrmatin Gvernance Maturity Mdel (draft) 10

11 Enterprise Infrmatin Gvernance in Healthcare Benchmarking Survey White Paper 1. EIG prgrams are less prevalent and less mature than warranted, given the imprtance f infrmatin 2. Mst rganizatins d nt yet have a cmprehensive strategy fr enterprise infrmatin gvernance 3. Infrmatin gvernance framewrk: need fr strengthening and expansin 4. Infrmatin lifecycle management practices related t cre functins require imprvement Chasset Assciates AHIMA 2014 Infrmatin Gvernance in Healthcare A Call t Adpt Infrmatin Gvernance Practices. 11

12 EIG Leadership: frm where? Leadership skills including cllabratin, cmmunicatin, and engagement change management prject management infrmatin lifecycle management business prcess imprvement understanding f healthcare regulatry cmpliance infrmatin privacy and security litigatin and e discvery understanding f business intelligence and data analytics infrmatin technlgy planning and gvernance EHR/clinical decisin supprt Strategic vs. tactical 12

13 Clsing the gap between IT and IM Infrmatin Technlgy Infrastructure Enterprise Architecture Technical Standards Applicatin Implementatin Interperability Access and Security Infrmatin Management Infstructure Enterprise Infrmatin Gvernance Data and Infrmatin Standards Meaningful Use Privacy and Security Data Quality 13

14 Enterprise Infrmatin Gvernance Case Study: Alberta Health Services Kathleen Addisn, Senir Prvincial Directr, HIM, Alberta Health Services, Calgary, AB, Canada 14

15 Abut Alberta Health Services (AHS) AHS is the largest health care services merger in Canada tasked with crdinating the delivery f health supprts and services acrss the prvince: Amalgamatin f 9 frmer health regins and 3 prvincial entities t a single health services bard; >100,000 staff serving a ppulatin f 3.7 millin (including 7,400 physicians); Gverned by an Official Administratr wh reprts directly t the prvincial gvernment, specifically the Minister f Health; Annual budget f ~$13B 15

16 Backgrund AHS transitin t a single prvincial health service has identified significant data challenges: Clinical and nn clinical infrmatin systems (paper and electrnic) were implemented frm a regin specific perspective. Lacking and incnsistent use f data standards, data capture methds and different methds fr data aggregatin and data duplicatin. Autmatin and integratin f infrmatin systems is expsing data vulnerabilities. There was n centralized crdinated infrmatin management gvernance structure within AHS. Independent decisins were being made in the absence f a frum fr enterprise wide decisin making resulting in a lack f prvincial data/infrmatin standards, interperability and duplicatin f effrt. 16

17 Backgrund (Cntd.) Health Infrmatin Management realized in the early days f AHS that in rder fr patient care t be transfrmed, infrmatin needed t be valued and trusted as a strategic asset. This includes all infrmatin types and all mediums that need t be managed and crdinated at the enterprise level thrugh: Standards Plicies, prcesses & guidelines Identified rles & authrities Peple, prcess & technlgy 17

18 Enterprise Infrmatin Management Gvernance (EIMG) What is Enterprise Infrmatin Management Gvernance at AHS? A centralized crdinated gvernance structure which supprts the rganizatin t btain assurance that the risks t its infrmatin, and thereby the peratinal capabilities and integrity f the rganizatin, are effectively identified and managed. It des nt replace peratinal respnsibility fr data/infrmatin but prvides an verarching structure f plicy, standards, guidelines, etc. t supprt business peratins. 18

19 Key Messages: EIMG Framewrk Fundatinal infrastructure required t enable ne health system; Fcal pint fr the creatin, apprval and adptin f data/infrmatin standards and related plicies & prcesses; Managing infrmatin requires shared decisin making and planning thrughut its lifecycle; Data within disparate clinical and nn clinical infrmatin systems must be interperable fr integratin that supprts the single view; Established prcesses fr the adptin, implementatin, maintenance and cnsistent use f data and infrmatin standards t supprt interperability; Risks must be identified and acted upn. 19

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21 Challenges Changing Executive, Senir Leadership and Executive Spnsr. Resurces t implement a full EIM Prgram. Organizatinal awareness and understanding f what is meant by Enterprise Infrmatin Management. Cnfusin regarding what is meant by the terms gvernance and standards. Adptin and implementatin f standards.

22 Opprtunities Maturing the Framewrk The IMG Framewrk is the first step in the prgressin f AHS twards an Enterprise wide Infrmatin Management Prgram. The fcus f the IMG Framewrk is at the enterprise level and will influence and imprve the infrmatin management lifecycle, including cnsistent data, data definitins, data use and leading practices fr Infrmatin Management. Gaining acceptance requires nging Executive and Senir Leadership supprt and clear and cnsistent cmmunicatin regarding the purpse, gals, apprval structure, prgress and utcmes f the standing cmmittees and wrking grups. Align the IMG Framewrk with rganizatinal pririties such as the Prvincial Clinical Infrmatin System and Prvincial Health Analytic Netwrk t name a few Leverage and align the rganic Data Gvernance mdels t an enterprise mdel. 22

23 EIM Cnceptual Mdel Outcmes Data is Cmpliant t Standards Care Delivery is Infrmatin Enabled Supprting Disciplines Infrmatin Gvernance Plicy Cre Disciplines Stewardship Enhances Quality Management Life-Cycle Management Cnfidentiality, Security and Privacy Supprts Enablers Infrmatin Architecture Infrmatin Asset Management (terminlgies, taxnmy, metadata) Infrmatin Integrity (audit and lgging)

24 EIM Prgram Framewrk

25 Difference between EIMG and EIM? Enterprise Infrmatin Management Gvernance (EIMG) is a fundatinal cmpnent f an Enterprise Infrmatin Management (EIM) Prgram. Bth EIMG and EIM are strategic business disciplines. An EIM prgram cannt succeed withut EIMG supprting infrmatin management directives acrss the rganizatin. The cmpnents f EIMG include the fllwing: Infrmatin gvernance rganizatin cmpnent Data stewardship cmpnent Data quality management cmpnent Metadata management cmpnent Privacy, cnfidentiality and security Infrmatin life cycle management cmpnent

26 Difference between EIMG and EIM? (Cntd.) EIM is an integrated discipline fr structuring, describing and gverning infrmatin assets, regardless f rganizatinal and technlgical bundaries, t imprve peratinal efficiency, prmte transparency and enable business insight. A key tenet f the EIM Prgram is the rchestratin f existing effrt, peple, prcesses, and technlgy t ensure infrmatin can be used effectively acrss all dmains f the care cntinuum. This includes all rganizatinal infrmatin, bth internally and externally created and managed in all systems fr all functins and in any media frmat (paper, film, micrfiche, digital).

27 Examples f EIM Issues N crdinated Master Data Management: Prvider Registry 2 pssibly 3 versins f the Prvider Registry 3 Systems in AHS has batch integratin all thers are manual imprt Mst prvider tables are maintained at the applicatin level Small Army f Data Quality Staff in AHS required t maintain Accuracy and Quality f Infrmatin Surce Systems i.e. CPSA database prvides pr quality infrmatin as the authritative surce Client Registry 2 versins f Client Registry Unsupprted sftware Inapprpriate data flw smetimes cmprmise ur wn data 27

28 Next Steps Strategic Alignment with Executive Cmmittees, key business and IT stakehlders (Analytics, Plicy & Frms, ERM, IT) Cmplete Detailed Develpment if EIM Prgram Framewrk Cmplete EIM Principles Develp EIM Prgram Framewrk Implementatin apprach Cmplete Develpment f EIM Prgram Operatinal Mdel Develp and Implement EIM Prgram Cmmunicatin and Orientatin Materials Crdinate Standards Inventry Prject Realign and refine existing IMG BU prcesses with the EIM Prgram Cmplete Stakehlder engagement strategy

29 QUESTIONS? Michael Nusbaum (250) Kathleen Addisn (403)