CRITICAL ACCESS HOSPITAL
CLINICAL INFORMATION
SYSTEMS AND HIT STRATEGIES
Marcia M. Ward PhD
James Bahensky MS
AHRQ Annual ...
Introduction
 Hospital size has been shown to have a
systematic relationship to implementation of
health information tech...
Research Objectives
 The goal of this study was to
review the rural landscape in
the use of HIT by examining
CAHs in Iowa...
2005 HIT Survey of Iowa Hospitals -
Approach
 As part of the AHRQ grant, in Fall 2005 we
developed a new survey of Iowa h...
Our Survey of HIT Capacity
Part 1 Part 2
Focus – profile of the hospital in
terms of technology resources
and capacity
Foc...
Hospital Distribution
in Iowa
The survey was
mailed to all
hospitals in Iowa
(N=116)
82 Iowa hospitals
are designated
as C...
Who Responded?
Overall, 85% of
hospitals and 85%
of CAHs (N = 70)
returned
completed surveys
For the CAHs, half
of the res...
Basic IT Use in CAHs
Business and Clinical
Applications
EHR/EMR Systems in CAHs
CPOE and CDSS Use in CAHs
EMR Stages –
Garets and Davis Model
Stages Definition
Stage 0
All Three Ancillaries (Lab, Rad, Pharmacy) Not Installed
19....
HIMSS Analytics Stages
of EMR in CAHs
Based on HIMSS Analytics 8-stage model for the
measurement and understanding of EMR ...
CAH Business Strategies
for HIT
 This survey of 70 CAHs in Iowa indicates use
levels of IT applications that are quite si...
CAH IT Staff Resources –
Number of FTEs
 A third of the CAHs do not employ any IT
staff
 Half only employ 1 to 2 IT staf...
CAH Use of External Staff
Resources
External IT
Consultants
Outsourcing IT
Services
Application System
Providers (ASP)
91%...
Approaches for CAHs
with Few IT Staff
 CAHs with fewer IT staff use outsourcing
more (r = 0.72)
 CAHs with no IT staff u...
Staffing for HIT:
Chicken or Egg
 CAHs rely on outsourcing more than larger
hospitals to meet their IT needs
 CAHs that ...
HIT Business Strategies
for CAHs
 CAHs still lag behind larger hospitals in IT,
especially clinical information systems
...
EMR Follow-up Interview Methods
• Using data from the 2005 HIT Survey, we
identified 15 Iowa CAHs that had or were
impleme...
Decision to Implement EMR
 Theme 1: Decision to implement EMR was driven
by the beliefs that EMR will become the wave of
...
Decision to Implement EMR
 Theme 5: Decision to implement EMR was
influenced by system affiliation.
 Theme 6: Decision t...
EMR Follow-up Interview Analyses
• Key themes to initial “why and how”
questions were:
 Purchases of EMR systems were lar...
References
1. American Hospital Association. Continued Progress - Hospital Use of Information Technology.
http://www.aha.o...
Acknowledgements
 University of Iowa - College of Public Health
 Department of Health Management and Policy
 Center for...
Upcoming SlideShare
Loading in …5
×

Critical Access Hospital Clinical Information Systems and Hit ...

514
-1

Published on

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
514
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
10
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide
  • Acknowledgements:
    University of Iowa - College of Public Health
    Department of Health Management and Policy
    Center for Health Policy and Research
    Funded in part by:
    The Agency for Healthcare Research and Quality through grant # HS015009 – “HIT Value in Rural Hospitals”
  • Critical Access Hospital Clinical Information Systems and Hit ...

    1. 1. CRITICAL ACCESS HOSPITAL CLINICAL INFORMATION SYSTEMS AND HIT STRATEGIES Marcia M. Ward PhD James Bahensky MS AHRQ Annual Meeting - 2009 College of Public Health
    2. 2. Introduction  Hospital size has been shown to have a systematic relationship to implementation of health information technology (HIT)1,2  For small hospitals that convert to Critical Access Hospital (CAH) status, their Medicare payment methodology changes from a prospective payment system (PPS) to retrospective cost-based3  CAHs’ positive finances have permitted many to refurbish aging facilities, enhance patient quality,4 and invest in HIT5
    3. 3. Research Objectives  The goal of this study was to review the rural landscape in the use of HIT by examining CAHs in Iowa, a predominantly rural state with a large sample of CAHs  To help understand the variability in HIT use by CAHs, business strategies for supporting HIT implementation are examined and the relationship between common approaches and HIT use is explored
    4. 4. 2005 HIT Survey of Iowa Hospitals - Approach  As part of the AHRQ grant, in Fall 2005 we developed a new survey of Iowa hospital clinical information systems. This survey consisted of:  general information on hospital IT services, network influence, connectivity  approaches to IT staffing, outside services  an inventory of clinical information systems to determine the level of systems in each hospital
    5. 5. Our Survey of HIT Capacity Part 1 Part 2 Focus – profile of the hospital in terms of technology resources and capacity Focus – actual technology applications used for business and clinical operations Information Collected : •the number of IT staff •extent of use of consultants, vendors, ASP •if the hospital was part of a network Information Collected: •46 HIT applications, both business and clinical •whether each application was operational, being installed, or in the planning stages Response Options – 5 point Likert-type scales (ranging from “not at all” to “a great deal”) for extent items Response Options – for applications currently operational, being installed, or budgeted, information on the chosen vendor was collected
    6. 6. Hospital Distribution in Iowa The survey was mailed to all hospitals in Iowa (N=116) 82 Iowa hospitals are designated as CAHs – the focus of these analyses6
    7. 7. Who Responded? Overall, 85% of hospitals and 85% of CAHs (N = 70) returned completed surveys For the CAHs, half of the responses were from the CEO, COO or CFO, and almost half were from the CIO or IT Manager
    8. 8. Basic IT Use in CAHs
    9. 9. Business and Clinical Applications
    10. 10. EHR/EMR Systems in CAHs
    11. 11. CPOE and CDSS Use in CAHs
    12. 12. EMR Stages – Garets and Davis Model Stages Definition Stage 0 All Three Ancillaries (Lab, Rad, Pharmacy) Not Installed 19.25% Stage 1 Ancillary systems installed in all three (Lab, Rad, Pharmacy) 20.53% Stage 2 Clinical data repository (CDR), computerized medical vocabulary (CMV), Clinical Decision Support System (CDSS) inference engine, may have Document Imaging 49.66% Stage 3 Clinical documentation (flow sheets), CDSS (error checking), PACS available outside Radiology 8.12% Stage 4 Computerized Provider Order Entry (CPOE), CDSS (clinical protocols) 1.86% Stage 5 Closed loop medication administration 0.46% Stage 6 Physician documentation (structured templates), full CDSS (variance & compliance), full PACS 0.13% Stage 7 Medical record fully electronic; CDO able to contribute to EHR as byproduct of EMR 0.00% Total 100%
    13. 13. HIMSS Analytics Stages of EMR in CAHs Based on HIMSS Analytics 8-stage model for the measurement and understanding of EMR capabilities in hospitals7 , the current survey indicates that:  53% are in Stage 0  25% are in Stage 1  11% are in Stage 2  11% are in Stage 3 or higher
    14. 14. CAH Business Strategies for HIT  This survey of 70 CAHs in Iowa indicates use levels of IT applications that are quite similar to those found in a 2006 national survey of CAHs8 , suggesting that the current survey findings are generalizable  This survey and follow-up interviews in 16 CAHs with EMR indicate:  The most common strategy was the “best of breed” where the best available system is purchased for each specific purpose  A second common purchasing strategy was to incrementally add systems from a single vendor
    15. 15. CAH IT Staff Resources – Number of FTEs  A third of the CAHs do not employ any IT staff  Half only employ 1 to 2 IT staff  Fewer than 5% of CAHs employ more than 5 IT staff 0% 10% 20% 30% 40% 50% 60% None 1 - 2 3 - 5 6 - 10 11 - 20 >20 Number of FTE IT Staff PercentofCAHs
    16. 16. CAH Use of External Staff Resources External IT Consultants Outsourcing IT Services Application System Providers (ASP) 91% use external IT consultants 85% of CAHs use outsourcing to meet their IT needs <40% of CAHs use ASP to support their clinical applications CAHs use external IT consultants: •38% to a great extent •12% to a large extent More than 40% of CAHs outsource: •website •system installation •technical support •network operations •applications development services Of CAHs that use an ASP vendor, only 9% use this approach to a great extent
    17. 17. Approaches for CAHs with Few IT Staff  CAHs with fewer IT staff use outsourcing more (r = 0.72)  CAHs with no IT staff used outsourcing more to meet their needs for:  system installation (p<.05)  technical support (p<.01)  PC support (p<.0001)  network operations (p<.02)  help desk (p<.01)  user training (p<.001)  outsourced their full IT department (p<.01)
    18. 18. Staffing for HIT: Chicken or Egg  CAHs rely on outsourcing more than larger hospitals to meet their IT needs  CAHs that have not yet installed an EMR commonly operate without any IT staff whereas CAHs with an operational EMR tend to have at least a handful of in-house IT personnel - which comes first – staff or EMR?  Follow-up interviews indicate that some CAHs purchased EMR systems and then hired IT staff  Other CAHs hired IT staff to help with EMR decision/installation process
    19. 19. HIT Business Strategies for CAHs  CAHs still lag behind larger hospitals in IT, especially clinical information systems  However, CAHs are more financially able to purchase or upgrade HIT now because of increased revenue related to Medicare billing policy change  CAHs are dividing into two groups in terms of HIT:  CAHs that are part of healthcare systems benefit in terms of having access to system technology and IT staff  Independent, rural CAHs have considerable difficulty finding IT staff and when they purchase EMRs, those EMRs have fewer functionalities (e.g., no CPOE or CDSS)
    20. 20. EMR Follow-up Interview Methods • Using data from the 2005 HIT Survey, we identified 15 Iowa CAHs that had or were implementing EMR • We developed interview guides and conducted follow-up on-site interviews with:  CEO  CIO/HIT Manager  Chief of Nursing and/or Quality Director • Tapes of the interviews were transcribed and two analysts reviewed transcriptions multiple times to identify themes in responses to questions
    21. 21. Decision to Implement EMR  Theme 1: Decision to implement EMR was driven by the beliefs that EMR will become the wave of the future and will be mandated in the near future.  Theme 2: Decision to implement EMR was driven by the hospital’s culture that emphasizes staying ahead of the curve (early adopters), pertaining to new technology and innovation.  Theme 3: Decision to implement EMR was based on a desire to be comparable to and compete with larger hospitals—a goal and vision that administration and staff took ownership of.
    22. 22. Decision to Implement EMR  Theme 5: Decision to implement EMR was influenced by system affiliation.  Theme 6: Decision to implement EMR was driven by the desire to improve efficiency, timely access, and quality, which would facilitate more patient- centered care.  Theme 7: Decision to implement EMR was driven by the initial need to improve their financial process (e.g. accurate and timely billing process).  Theme 8: Decision to implement EMR was driven by inadequacy of the stand-alone systems that were not integrated.
    23. 23. EMR Follow-up Interview Analyses • Key themes to initial “why and how” questions were:  Purchases of EMR systems were largely made because of legacy systems, network influence, or wanting to stay current with larger hospitals  Process of choosing EMR system and vendor varied across hospitals  Hospitals had made little effort to track benefits and thus had little knowledge of benefits
    24. 24. References 1. American Hospital Association. Continued Progress - Hospital Use of Information Technology. http://www.aha.org/aha/content/2007/pdf/070227-continuedprogress.pdf 2. Li P, Bahensky JA, Jaana M, Ward MM. Role of multihospital system membership in electronic medical record adoption. Health Care Management Review, 33(2): 1-9, 2008 3. American Hospital Association. Forward Momentum: Hospital Use of Information Technology. Chicago, IL: American Hospital Association. 2005 4. Li P, Schneider JS, Ward MM. The effect of critical access hospital conversion on patient safety. Health Services Research, 42: 2089-2108, 2007 5. Bahensky JA, Frieden R, Moreau B, Ward MM. Critical Access Hospital informatics. How two rural Iowa hospitals overcame challenges to achieve IT excellence. J of Healthcare Information Management, 22(2): 16-22, 2008 6. Iowa Hospital Association. Profiles; Section VI: Hospital and Health System Specific Data. 2005, http://www.ihaonline.org/publications/profileserv/profileserv.shtml. Accessed October 25, 2008 7. Garets D and Davis M. Electronic medical records vs. electronic health records: Yes, there is a difference. HIMSS Analytics. January 26, 200. http://www.himssanalytics.org/docs/WP_EMR_EHR.pdf 8. Flex Monitoring Team. The current status of health information technology use in CAHs. Flex Monitoring Team Briefing Paper No. 11; May 2006. http://www.flexmonitoring.org/documents/BriefingPaper11_HIT.pdf. Accessed October 25, 2008
    25. 25. Acknowledgements  University of Iowa - College of Public Health  Department of Health Management and Policy  Center for Health Policy and Research  Funded in part by:  The Agency for Healthcare Research and Quality through grant # HS015009 – “HIT Value in Rural Hospitals”
    1. A particular slide catching your eye?

      Clipping is a handy way to collect important slides you want to go back to later.

    ×