Download presentation
Presentation is loading. Please wait.
Published byKerry Farmer Modified over 9 years ago
1
Memphis, TN Thomas Duarte, Executive Director, MSeHA
2
501(c)3 organization serving the Memphis area of ~1.1 million citizens 25% of Shelby County citizens are at or below the poverty line Began as a TN funded planning project in August 2004 Awarded an AHRQ Regional Demonstration contract, Sept 2004 Received additional funding from the State of Tennessee MSeHA Background
3
5 year grant MSeHA to accomplish in years 1-3: Data sharing Interoperability Documentation of lessons learned MSeHA to accomplish in years 4-5: Evaluate the impact on patient treatment and care AHRQ Grant
4
MSeHA Participants Board was formed in 2005 Baptist Memorial Health Care Corporation (5 facilities including MS) Methodist Healthcare including Le Bonheur Children’s (7 facilities) The Regional Medical Center (The MED) St. Francis Hospital (2 facilities) St. Jude Children’s Research Hospital Christ Community Health Clinics (4 facilities) Shelby County/Health Loop Clinics (11 facilities) UT Medical Group (400+ clinicians)
5
Participants identified data elements and agreed to provide clinical and demographic information from inpatient, outpatient and ER encounters Began in the ER and expanded to include hospitalists and ambulatory sites No minimum data sets Participants encouraged to send what they could Early Planning
6
Why the Emergency Department? Access to data Ability to impact patient treatment and care Reduce duplication of tests Potential to show ROI Use data to gain sustainability model
7
Data Obtained Data feeds include IP, OP, ER and Claims information Data includes: Patient identification and demographics Lab results Encounter data Medication history (claims) Dictated reports: Discharge, imaging, cardio, H&P, Diagnostic codes, etc. Allergies
8
Data Summary Since May 2006 Patient medical record numbers = 1.14 million Patient records with clinical data = 874,000 Total records with ICD-9 codes & clinical data = 915,000 Number of text reports: Imaging = 2.41 million H&P = 3.35 million Discharge Summaries = 87,483 Anatomic Pathology = 314,365 Patient encounters/month = 151,910 Clinical lab results/month = 2.97 million
9
How It Happened Participant costs: ~ $25-35K/year/site (less for subsequent sites)\ Participant resources: IT staff Internal QA Commitment to NOT let the MSeHA interfere with participant initiatives CEO commitment and champion for RHIO/HIE Implementation support (Vanderbilt Center for Better Health) Signing up users Training/support/site management Privacy & security Establishment of “Work Groups”
10
Make the data easily accessible and secure Provide ease of search for patients Lessons Learned
11
Lessons Learned - Usability Provided standardized mapping of lab results (LOINC) to aggregate clinical data from multiple participants
12
Focus Get the participants to the table Begin with a narrow focus Identify data where there is agreement on Focus on policies and procedures for a single use of information Diagnosis and treatment Create a flexible system that can be used in different workflows Take as much data as you can you may need it later Early wins are possible Site visits for feedback, issue resolution and system usage
13
14 hospital ER’s Hospitalists in 3 health systems 4 primary care Safety Net clinics 11 primary care Safety Net/Public Health clinics MSeHA Today
14
Sustainability Obtain funding Identify population segments that will benefit from implementation Demonstrate the benefits Identify the potential customers Benefits to payors, employers Disease management Specific populations Pain management Workman’s comp.
15
MSeHA Goals & Focus Improve outcomes Reduce hospitalizations Eliminate unnecessary diagnostic tests Reduce ER visits Control costs Have greater PCP involvement
16
MSeHA Evaluation Goals Improve the quality of care by improving access to data at point of care Demonstrate the impact of the MSeHA in the ED Demonstrate how the MSeHA improves community healthcare delivery
17
Stakeholder Drivers Incomplete information increases admission rates and length of stay Lack of data impacts ED efficiency and ambulatory care Incomplete data at point of care impacts test ordering Incomplete data at point of care impacts clinical outcomes
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.