Using ArcGIS Server to Bring Geospatial Analysis

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1 Using ArcGIS Server to Bring Geospatial Analysis and Mapping to non-gis Analysts ESRI Health User Conference September 22, 2009 Jim Laramie, Altarum Institute Sam Wang, Altarum Institute

2 Agenda Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead Problem Statement Solution Geographic Analysis Dashboard Geographic Analysis Tool (GAT) Custom Market Area Tool (CMAT) Example Uses The Way Ahead

3 Problem Statement Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead Understanding access and other health care issues influenced by geography is difficult for most health care organizations Barriers include the need for specialized software and staff with advanced training in GIS Managers and analysts usually have to work with a GIS specialist whenever a question involving geography or the need to produce a map arises These barriers typically limit the use of GIS as a research or analytical tool to a minor and sub-optimal role in most organizations

4 Solution Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead We are beginning to address this problem with the Altarum Geographic Analysis Dashboard (GAD) The Altarum GAD is a take off of a ArcGIS Server based system called the MCFAS Geographic Analysis Dashboard (GAD) that we developed last year for the DoD/TRICARE Managment Activity (TMA) Look and feel modified to reflect Altarum Institute DoD proprietary data has been removed Numerous enhancements are being made to enhancement the upload features, analytical, and display capability Access restricted to authorized project staff, to authorized project data We are using the GAD and associated drive-time data to support various clients and internal Institute R&D and Mission Project activities

5 Altarum Geographic Analysis Dashboard Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead The GAD currently contains two Geospatial Tools GAT is a generalized map production and geospatial analysis tool CMAT is a specialized tool for creating ZIP Code-based drive-time or distance based market areas

6 Altarum Geographic Analysis Tool (GAT) Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead Of the two tools, GAT is the most generally applicable to the widest audience KEY - is how easy it is for non-gis analysts to upload data from their desktop for mapping and analysis Data by ZIP Code, County, State, or Country may be uploaded from a host of file formats including Excel, Access, text, csv, xml) We will be adding additional geographic keys for uploading data

7 Uploading and Configuring Data Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead You control the look and feel of your upload data and map configuration For each column of data your may set color ramping number of class breaks type of classification break (e.g., natural, quartile, equal) You may save uploaded data and map configurations for future use

8 Map Layer Control Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead Traditional (plus project-specific) geospatial base data layers are pre-loaded for easy map production It is easy to turn labels on/off, change layer symbology and transparency Base Layer Name US Hospitals VHA Facilities US Interstates US Major Highways World Lakes Counties States TRICARE Region World Countries Urban and Rural Areas Airport Boundaries Airports Census Block Groups Census Tracts US Cities Congressional Districts MSAs US Railroads US Water Areas US Water Lines Major World Cities

9 Map Layer Control Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead Standard GIS toolbar functions make map navigating easy

Geospatial Analysis Functions Agenda Problem

Standard geospatial functions plus a custom MHS

Buffering and clip functions Restricting to MTFs of

10 Geospatial Analysis Functions Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead Standard geospatial functions plus a custom MHS query tool enhance analytical l capabilities Buffering and clip functions Restricting to MTFs of Interest 100 mile Buffer Example: ZIP Codes Within 100 miles of Camp Lejeune

MCFAS Custom Market Area Tool (CMAT) Agenda Problem Solution Geo Dashboard GAT CMAT Examples

11 MCFAS Custom Market Area Tool (CMAT) Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead CMAT is a specialized tool for creating ZIP Code-based distance and drive-time market areas for ANY locations in the US U.S. Provides extremely fast response time as distance and drive-time between all ZIP Code pairs in the U.S. has been pre-computed Distances up to 125 miles and associated drive-times between ZIP Code population centroids Results may be exported in text or Excel format Underlying ZIP Code pairs drive-time data base available independent d of the CMAT

12 Example Uses of GAD Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead TRICARE Network Evaluation Understanding Drive-time vs Distance Health Atlas Maps Patient Policy Care/Enrollment Implementation Pattern Analysis Analysis T3 PSAs

13 Understanding Drive-time vs. Distance Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead - Impediments to travel cause big differences - MacDill Beneficiaries (thousands) 77 26

Health Atlas Maps Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead 2007

Nat Avg Geographic Distribution tion of VA Expenditures for Fiscal Year 2007 Summary of

Total Expenditure Compensation & Pensions Education & Construction Vocational Rehabilitation

1,730,646 $ 31,878,761 5,222,418 Alabama 416,947 $ 1,538,627 $ 874,876 $ 10,522 $ 62,808 $

2,500 $ 103,219 13,767 Arizona 567,632 $ 1,690,181 $ 806,046 $ 11,927 $ 91,132 $ 43,628 $

15,534 $ 547,440 85,920 California 2,131,939 $ 6,583,832 $ 2,828,638 $ 100,809 $ 334,824 $

$ 39,209 $ 29,880 $ 401,460 70,419 Connecticut 253,800 $ 631,768 $ 213,377 $ 4,368 $ 45,049 $

$ 82,119 13,824 District of Columbia 39,243 $ 1,666,954 $ 90,232 $ 161,386 $ 14,566 $ 1,257,788

$ 143,365 $ 2,394,935 441,648 Georgia 765,289 $ 2,363,005 $ 1,227,580 $ 6,460 $ 173,885 $

13,195 $ 117,122 19,657 Idaho 137,152152 $ 404,984 $ 201,042042 $ 692 $ 18,431 $ 4721 4,721 $

70,672 $ 1,165,075 184,259 Indiana 517,764 $ 1,220,533 $ 518,640 $ 13,598 $ 46,409 $ 20,164 $

14 Health Atlas Maps Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead 2007 Veteran Population Medical Exp/Veteran vs. Nat Avg Geographic Distribution tion of VA Expenditures for Fiscal Year 2007 Summary of Expenditures by State Expenditures in $000s County/ Congressional District Veteran Population* Total Expenditure Compensation & Pensions Education & Construction Vocational Rehabilitation General Operating Expenses Insurance & Indemnities Medical Care Unique Patients ** Medical Exp/Unique Pat vs. Nat Avg Totals 23,701,354 $ 76,339,019 $ 34,778,486 $ 854,113 $ 3,711,511 $ 3,385,501 $ 1,730,646 $ 31,878,761 5,222,418 Alabama 416,947 $ 1,538,627 $ 874,876 $ 10,522 $ 62,808 $ 22,508 $ 22,535 $ 545,377 97,907 Alaska 74,557 $ 245,241 $ 119,804 $ 4,240 $ 11,862 $ 3,617 $ 2,500 $ 103,219 13,767 Arizona 567,632 $ 1,690,181 $ 806,046 $ 11,927 $ 91,132 $ 43,628 $ 38,399 $ 699, ,252 Arkansas 262,374 $ 1,201,292 $ 573,664 $ 4,240 $ 34,838 $ 25,576 $ 15,534 $ 547,440 85,920 California 2,131,939 $ 6,583,832 $ 2,828,638 $ 100,809 $ 334,824 $ 125,227 $ 183,342 $ 3,010, ,865 Colorado 427,706 $ 1,193,107 $ 626,791 $ 13,869 $ 81,898 $ 39,209 $ 29,880 $ 401,460 70,419 Connecticut 253,800 $ 631,768 $ 213,377 $ 4,368 $ 45,049 $ 10,460 $ 28,848 $ 329,667 54,216 Delaware 80,592 $ 188,964 $ 89,792 $ - $ 8,558 $ 3,219 $ 5,275 $ 82,119 13,824 District of Columbia 39,243 $ 1,666,954 $ 90,232 $ 161,386 $ 14,566 $ 1,257,788 $ 3,241 $ 139,741 10,659 Florida 1,746,539 $ 5,701,694 $ 2,755,444 $ 72,199 $ 239,763 $ 95,987 $ 143,365 $ 2,394, ,648 Georgia 765,289 $ 2,363,005 $ 1,227,580 $ 6,460 $ 173,885 $ 73,342 $ 43,089 $ 838, ,381 Hawaii 118,633 $ 337,437 $ 174,876 $ 414 $ 22,076 $ 9,753 $ 13,195 $ 117,122 19,657 Idaho 137, $ 404,984 $ 201, $ 692 $ 18,431 $ ,721 $ 7,430 $ 172,669 32,974 Illinois 841,679 $ 2,218,852 $ 739,159 $ 57,506 $ 107,502 $ 78,937 $ 70,672 $ 1,165, ,259 Indiana 517,764 $ 1,220,533 $ 518,640 $ 13,598 $ 46,409 $ 20,164 $ 26,739 $ 594, ,723 Iowa 251,420 $ 677,264 $ 273,938 $ 292 $ 24,636 $ 6,701 $ 20,146 $ 351,552 68,878 Kansas 236,596 $ 680,590 $ 292,485 $ 1,473 $ 32,021 $ 9,920 $ 16,867 $ 327,824 60,157 Kentucky 347,013 $ 1,245,659 $ 617,690 $ 2,666 $ 45,861 $ 17,140 $ 18,108 $ 544,194 94,860

15 Patient Care/Enrollment Pattern Analysis Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead Recapturing OB patients enrolled with the Contractor may be problematic in the absence strategies expand remote capacity (e.g., leasing and resource sharing) 60-minute di drive-time

16 TRICARE Network Evaluation Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead Three-step process to determine how many MHS beneficiaries are within a specified drive-time or distance to health care services 1 MCFAS CMAT used to produce ZIP Codebased drive-time market areas around TRICARE provider locations 2 MCFAS BPFM used to determine population inside and outside the drivetime market areas 3 MCFAS GAT used to analyze better understand areas with gaps in Network coverage

17 TRICARE Network Evaluation Agenda Problem Solution Geo Dashboard GAT CMAT Examples - Behavioral Health Example - ADFM within 60 minutes of a BH Provider North Region Type of Behavioral # of ADFM Within 60 Minutes Total Health lthprovider Providers No Yes ADFM in Any BH Provider 24,026 5, % 748, % 754,488 Psychologist 5,392 11, % 743, % 754,488 Psychiatrist 5,021 14, % 740, % 754,488 Child Psychiatrist , % 415, % 445,147 Other BH Provider 12,892 6,474 09% 0.9% 748, % 754, South Region Type of Behavioral # of ADFM Within 60 Minutes Total Health Provider Providers No Yes ADFM in Any BH Provider 53, ,195 05% 0.5% 664, % 667,878 Psychologist 8,947 12, % 655, % 667,878 Psychiatrist 11,402 6, % 661, % 667,878 Child Psychiatrist % 330, % 330,959 Other BH Provider 32,444 3, % 664, % 667,878 West Region Type of Behavioral # of ADFM Within 60 Minutes Total Health Provider Providers No Yes ADFM in Any BH Provider 109,771 9, % 706, % 715,887 Psychologist 40, , % 1.6% 704, % 715,887 Psychiatrist 23,610 34, % 681, % 715,887 Child Psychiatrist 1,118 63, % 353, % 416,619 Other BH Provider 45,994 11, % 704, % 715,887 Quick and easy to determine Way Ahead that virtually all ADFMs reside within 60 minutes of a network BH Provider Next step - restricting the analysis to those BH providers that are seeing new patients

18 Policy Implementation Analyses T3 PSAs Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead 1. Downloaded PSA ZIP Codes from the T3 Procurement Web Site, then uploaded into the GAT to analyze for consistency with TMA Policy 2. Zoom into PSA of interest 3. Use buffer and list function to identify all ZIP Codes within 40 miles

19 The Way Ahead Agenda Problem Solution Geo Dashboard GAT CMAT Examples Way Ahead Enhance data upload feature Improve upload feature (e.g., add census block, Congressional District, i t VISN) Support Office 2007 file formats (currently only supports Office 2003 formats) Allow point data upload (i.e., providers by lat/long) with labeling and attribute value display capability (e.g., circle density, pie and bar charts) Enable multiple uploaded scenario to be accessed in map contents layer Enable dot density mapping (currently only choropleth available) Map attribute values from ZIP points to ZIP polygons Enabling geographic aggregation of upload data (e.g., ZIP Code to county, to state) Provide error reports for rows that do not map Extend map layer display control currently available for base layers to also include uploaded data results (i.e., change color after uploaded, transparency, labels on/off) Enhance geoprocessing functions Enable functions to operate on ZIP Code drive-times and drive-distance and user uploaded data Enhance exporting capability of geoprocessing results and user uploaded data Enhance CMAT Develop US ZIP Code pairs drive-time data set based on population weighted centroids from Census block data to replace ZIP Code pairs drive-times based on DoD beneficiaries

Geomapping Drive-Time Based Market Areas for DoD TRICARE Beneficiaries

Geomapping Drive-Time Based Market Areas for DoD TRICARE Beneficiaries Richard R. Bannick, Ph.D. and Tyler Erickson, Ph. D.* Accompanied in the audience by James Laramie* & Amii Kress Oct 25, 2006 Office