1 / 22

Attacking the Hard Problems of IAIMS

Attacking the Hard Problems of IAIMS. James Cimino. Problems in Clinical IAIMS. Heterogeneous systems and data Tower of Babel Sustenance. Heterogeneous Systems and Data. Legacy systems Future systems Mergers “I” stands for “Integrated Access Data sharing Data aggregation.

paul
Download Presentation

Attacking the Hard Problems of IAIMS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Attacking the Hard Problems of IAIMS

  2. James Cimino

  3. Problems in Clinical IAIMS • Heterogeneous systems and data • Tower of Babel • Sustenance

  4. Heterogeneous Systems and Data • Legacy systems • Future systems • Mergers • “I” stands for “Integrated • Access • Data sharing • Data aggregation

  5. Tower of Babel • Each system has its own terminology • “Data reusers” need to know the terminology • No unifying terminology • Terminologies change

  6. Sustenance • Pilot systems become production systems • Temporary solutions become permanent • What to do when the money runs out

  7. Joyce Niland

  8. The Hard Problems of IAIMS:Information Integration across Multiple Systems • Authoritative Data Sources • Data Stewards • Quality Control Processes • Meta Data

  9. Authoritative Data Sources • Myriad sources of overlapping data • Differing levels of quality • How to identify most authoritative sources? • Participation of key stakeholders

  10. Identifying Data “Stewards” • Parties responsible for data integrity/security • Stewardship rather than ownership • How to obtain “buy-in” to the sharing of such data sources?

  11. Quality Control Processes • Processes in place within data source? • Quality assurance across data sources? • “GIGO” magnified exponentially with integrated data sources

  12. Meta Data • Data about the data • How to identify who’s collecting what? • Elements of the meta data: • Technical directory • Business directory • Content experts critical

  13. Joyce Mitchell

  14. The Hard Problems of IAIMS • Organizational issues of the IT/IS Group • Process changes when implementing new systems to realize benefits of IT

  15. Organizational issues • One organization for the health sciences enterprise? • Virtual organization for the HSC? • What about autonomous technical people? • Where should IT unit sit in the HSC hierarchy? • How to create a responsive IT organization?

  16. Organization of IT/IR unit • Culture of the unit • Structure of the unit • Internal Economy for funding deliverables • Methods and Tools • Metrics and Rewards • How it relates to Informatics Research

  17. Process Changes to Achieve Benefits • Analysis of current state • Analysis of future state • What is value of moving to another state • What kind of IT leadership vs process owner leadership do you need to change processes • How to measure benefits of systems and changes in process

  18. Neal Ryan

  19. Research Demonstration projects Programming Experiments that we don’t know the answer to The productive anarchy of academic competition Engineering Projects that you bet your system on Architecture to last decades and work robustly Consensus, stakeholders, management by objectives, etc. Research vs. Engineering

  20. Other hard problems • Brief listing of some other “hard problems” brought up at this conference.

More Related