October 4, 2008

IT Staffing Models from HIMSS Analytics April 2008 Data

For those of us feeling the impact of tightening current year budgets, this morning doing some research I came across two resources which highlight the HIMSS Analytics data set.

In order to model off of this information a couple of assumptions need to be made, in my opinion. The assumptions I utilize are as follows:

  • The institution active bed count is accurate.
  • In order to be rated at a stage, all components are in productive use from that stage previous stages.
  • Assumes there is no outsourcing of IT resources.
  • Assumes centralized IT workforce including LIS, Pharmacy IS, and informatics are in the available staffing members count.
  • Assumes in-flight strategic and capital projects have resources within their funding and are not a part of this calculation
  • Assumes mainly an acute care business model, without the ambulatory care centers or physician practice organizations.

Here are the thoughts for the calculation; first I evaluated our current state on the EMR Adoption Model.

EMR Adoption

Description

% of US Hospital Q3-2008

IT Staff to Beds

Stage 7

Medical Record Fully Electronic; Health Care Organization able to contribute to CCD as a byproduct of EMR; Data Warehousing in use

 

0.1%

Not available

Stage 6

Physician Documentation (structured templates), full CDSS (variance & compliance) full R-PACS

1.0%

.196

Stage 5

Closed loop medication administration

1.3%

.167

Stage 4

CPOE, CDSS (clinical protocols)

1.9%

.210

Stage 3

Clinical Documentation (flow sheets), CDSS (error checking), PACS available outside Radiology

32.9%

.151

Stage 2

CDR, CMV, CDSS, may have Documentation Imaging

33.2 %

.122

Stage 1

Ancillaries – Lab, Rad, Pharmacy

12.5 %

.096

Stage 0

All Three Ancillaries Not Installed

17.1 %

.082

 

This will provision a good idea of the workforce needed to support the healthcare operations. Futhermore moving the model to a granular level the distribution of IT shop efforts from HIMSS Analytics is as follows

 

Job Description

Percentage

Project Management

1 %

Management

11 %

Programmers

29 %

Operations

8 %

Network Administration

9 %

Help Desk

8%

PC Support

11 %

Security

1 %

Other

22 %

Posted by Elyse at October 4, 2008 11:41 AM
Comments
Post a comment









Remember personal info?