Chapter VII. Health Data Warehouse

Similar documents
Health Indicators. for the Dallas/Fort Worth Combined Metropolitan Statistical Area Brad Walsh and Sue Pickens Owens

Potentially Avoidable Hospitalizations in Tennessee, Final Report. May 2006

Ambulatory-care-sensitive admission rates: A key metric in evaluating health plan medicalmanagement effectiveness

SAMHSA Primary and Behavioral Health Care Integration (PBHCI) Program Grantees: Part 2

Center for State Health Policy

Hospital Discharge Data, 2005 From The University of Memphis Methodist Le Bonheur Center for Healthcare Economics

Balanced Scorecards & Population Health

Total Cost of Care Technical Appendix April 2015

Issue Brief. Non-urgent Emergency Department Use in Shelby County, Tennessee, May August 2012

Health Homes Program Annual Report

=======================================================================

Preventable Readmissions

Paying for Outcomes not Performance

Updated validation of AHRQ Prevention Quality Indicators in the USA

Community Health Needs Assessment. Implementation Plan FISCA L Y E AR

HIDD 101 HOSPITAL INPATIENT AND DISCHARGE DATA IN NEW MEXICO

Dual-eligible SNPs should complete and submit Attachment A and, if serving beneficiaries with end-stage renal disease (ESRD), Attachment D.

Using Secondary Datasets for Research. Learning Objectives. What Do We Mean By Secondary Data?

Measuring Comprehensiveness of Primary Care: Past, Present, and Future

MEDICAL POLICY No R2 TELEMEDICINE

The Drive Towards Value Based Care

SUCCESS IN A VALUE - BASED PAYMENT ARRANGMENT

Using An APCD to Inform Healthcare Policy, Strategy, and Consumer Choice. Maine s Experience

Planning a Course to Population Health Management

HEDIS Ad-Hoc Public Comment: Table of Contents

Facility-Based Behavioral Health Program Professional Fees Reimbursement Policy Annual Approval Date. Approved By

Medical Management. G.2 At a Glance. G.3 Procedures Requiring Prior Authorization. G.5 How to Contact or Notify Medical Management

Innovating Predictive Analytics Strengthening Data and Transfer Information at Point of Care to Improve Care Coordination

Using the National Hospital Care Survey (NHCS) to Identify Opioid-Related Hospital Visits

Health Informatics. Health Informatics professionals treat technology as a tool that helps patients and healthcare professionals.

HOSPITAL UTILIZATION DATABASE

2017 Quality Reporting: Claims and Administrative Data-Based Quality Measures For Medicare Shared Savings Program and Next Generation ACO Model ACOs

State Resources, Policy, and Reimbursement Information

Reducing Readmissions: Potential Measurements

FAQ for Coding Encounters in ICD 10 CM

UTILIZATION MANAGEMENT AND CARE COORDINATION Section 8

Potentially Avoidable Hospitalizations among Dual Eligible Beneficiaries in Medicaid Home and Community-Based Services Waivers

3M Health Information Systems. 3M Clinical Risk Groups: Measuring risk, managing care

Medical Management. G.2 At a Glance. G.2 Procedures Requiring Prior Authorization. G.3 How to Contact or Notify Medical Management

Collaborative Activation of Resources and Empowerment Services Building Programs to Fit Patients vs. Bending Patients to Fit Programs

Understanding HSCRC Quality Programs and Methodology Updates

Behavioral Health Billing and Coding Guide for Montana FQHCs & Primary Care Providers. Virna Little, PsyD, LCSW-R, SAP, CCM Laura Leone, MSSW, LMSW

Comprehensive Primary Care: Our Success Story

The Transition to Version 5010 and ICD-10

PPS Performance and Outcome Measures: Additional Resources

AHRQ Quality Indicators. Maryland Health Services Cost Review Commission October 21, 2005 Marybeth Farquhar, AHRQ

Stage 2 GP longitudinal placement learning outcomes

ICD-9 (Diagnosis) Coding

PREVENTIVE MEDICINE AND SCREENING POLICY

Corporate Reimbursement Policy Telehealth

ICD-10/APR-DRG. HP Provider Relations/September 2015

Commonwealth Fund Scorecard on State Health System Performance, Baseline

Beyond the Hospital Walls: Impact of a SNFist Practice Model

Minnesota Statewide Quality Reporting and Measurement System: Appendices to Minnesota Administrative Rules, Chapter 4654

Integrating Policy and Physiology Towards Optimal Hospital Discharge We Can Do It! Toni Miles, M.D., Ph.D. June 11, 2015

Coding and Payment Guide for Chiropractic Services. A comprehensive coding, billing, and reimbursement resource for chiropractic services

Rural-Relevant Quality Measures for Critical Access Hospitals

Inpatient Psychiatric Facility Quality Reporting (IPFQR) Program: Follow-Up After Hospitalization for Mental Illness (FUH) Measure

ICD-10 Frequently Asked Questions for Providers Q Updates

ICD-10 Implementation & Compliance

Jumpstarting population health management

Place of Service Code Description Conversion

Understanding Medi-Cal s High-Cost Populations

Institute on Medicare and Medicaid Payment Issues March 28 30, 2012 Robert A. Pelaia, JD, CPC

2016 Community Health Needs Assessment Implementation Plan

State FY2013 Hospital Pay-for-Performance (P4P) Guide

Denver Health overview. Ambulatory Care Center (ACC) Role of ACC in meeting the needs of the community and Denver Health s viability

Federal Employee Program Service Benefit Plan An independent licensee of the Blue Cross and Blue Shield Association

Appendix 4 CMS Stage 1 Meaningful Use Requirements Summary Tables 4-1 APPENDIX 4 CMS STAGE 1 MEANINGFUL USE REQUIREMENTS SUMMARY

Evaluation and Management

Outpatient Hospital Facilities

COMMUNITY HEALTH IMPLEMENTATION PLAN

FirstHealth Moore Regional Hospital. Implementation Plan

Comparison of Care in Hospital Outpatient Departments and Physician Offices

Factors that Impact Readmission for Medicare and Medicaid HMO Inpatients

MEDICARE CCLF ANALYTICS: MEDICARE ANALYTICS DATA ENGINE (MADE)

Emerging Outpatient CDI Drivers and Technologies

Embedded Case Manager

Welcome to the Agency for Health Care Administration (AHCA) Training Presentation for Managed Medical Assistance Specialty Plans

Roll Out of the HIT Meaningful Use Standards and Certification Criteria

o Recipients must coordinate these testing services with other HIV prevention and testing programs to avoid duplication of efforts.

Hospital Inpatient Quality Reporting (IQR) Program

Rethinking annual assessments: Identifying and closing gaps in care

MPA Reference Guide. Millennium Collaborative Care

Very large per-capita Medicaid population.

Adopting a Care Coordination Strategy

Primary Care 101: A Glossary for Prevention Practitioners

See the Time chapter for complete instructions on how to code using time as the controlling factor when selecting an E/M code.

The World of Evaluation and Management Services and Supporting Documentation

BCBSM Physician Group Incentive Program

MEDICARE CCLF ANALYTICS: MEDICARE ANALYTICS DATA ENGINE (MADE)

Early and Periodic Screening, Diagnosis, and Treatment Program EPSDT Florida - Sunshine Health Annual Training

Telemedicine Guidance

Tracking Non-Fatal Self-Harm Injuries with State-Level Data

Statistical Analysis Plan

Volunteer Nurse Practitioner Application

Community Health Needs Assessment Three Year Summary

Low Income Pool (LIP) Tier One Milestone (STC-61) Application for Enhancement Projects. Submitted by:

MEDICAL POLICY No R1 TELEMEDICINE

Community Health Needs Assessment: St. John Owasso

Transcription:

Broward County Health Plan Chapter VII Health Data Warehouse

CHAPTER VII: THE HEALTH DATA WAREHOUSE Table of Contents INTRODUCTION... 3 ICD-9-CM to ICD-10-CM TRANSITION... 3 PREVENTION QUALITY INDICATORS... 3 PEDIATRIC QUALITY INDICATORS... 5 CHRONIC DISEASE (ICD-10-CM) HOSPITALIZATIONS... 7 SELF-INFLICTED INJURY INCIDENCE... 8 AMBULATORY ED VISIT STRATIFICATIONS... 8 AMBULATORY ED ACUITY/ SEVERITY LEVEL... 9 ED AMBULATORY: EMERGENCY VS. AVOIDABLE... 9 HEALTH INTERVENTION TARGETED SERVICES... 10 AHCA ED RECOMMENDATIONS... 11 Table of Tables Table 1. Broward PQI Observation Rate per 100,000-2013-2015... 4 Table 2. Broward PDI Admissions per 100,000-2013-2015... 5 Table 3. Evaluation and Management Acuity Classification... 9 Table 4. Broward ED CPT Acuity Stratification, 2014 and 2015... 9 Table 5. Emergency Department (ED) NYU Algorithm Data, 2014 & 2015... 10 Table of Figures Figure 1. Inpatient Versus Emergency Department Data Queries... 3 Figure 2. PQI Admissions vs. Charges, 2015... 4 Figure 3. PQI Charges by Payer Source... 5 Figure 4. PDI Admissions vs. Charges... 6 Figure 5. PDI Charges by Payer Source... 6 Figure 6. Chronic Conditions Admissions vs. Charges, 2015... 7 Figure 7. Self-Inflicted Injuries, 2015... 8 BROWARD REGIONAL HEALTH PLANNING COUNCIL CHAPTER VII: THE HEALTH DATA WAREHOUSE 2

INTRODUCTION BRHPC developed the Health Data Warehouse, a web-based data warehouse and analytical engine with the following five query functions: Figure 1. Inpatient Versus Emergency Department Data Queries Prevention Quality Indicators/Avoidable Admissions Inpatient Chronic Conditions (ICD-10) Suicide Incidence ED Acuity Stratification (CPT) NYU Algorithm ED Preventable/ Avoidable ICD-9-CM to ICD-10-CM TRANSITION According to the Centers for Disease Control and Prevention, the International Classification of Diseases (ICD) codes are the, cornerstone of classifying diseases, injuries, health encounters and inpatient procedures in morbidity settings. ICD coding is utilized for the analysis of Prevention Quality Indicators, Chronic Conditions and Suicide Incidence modules. In October 2015, the World Health Organization (WHO) published the 10 th revision of ICDs. After being in use for thirty-six years, the change from ICD-9 to ICD-10 occurred in order to accommodate the healthcare needs of the future. The principal changes are: 19 times more procedure codes 5 times more diagnosis codes Alphanumeric values The ability to identify etiology, anatomic site, severity, and encounter The ability to add new procedures and diseases as they emerge The ability to code multiple diagnoses in one code PREVENTION QUALITY INDICATORS Prevention Quality Indicators (PQIs) are a set of measures used with hospital inpatient-adult only discharge data to identify "ambulatory care sensitive conditions" (ACSCs) in adult populations. ACSCs are conditions for which good outpatient care can potentially prevent the need for hospitalization, and early intervention can prevent complications and disease severity. PQIs consist of the 14 ACSCs, measured as hospital admission rates. PQI data is used to identify geographic high incidence areas and develop targeted community-based interventions to reduce these unnecessary hospitalizations. Broward County s highest PQI observation rates have been for perforated appendicitis for the past 3 years (Table 1). When looking at the number of admissions, congestive heart failure was the highest (4,535) while BROWARD REGIONAL HEALTH PLANNING COUNCIL CHAPTER VII: THE HEALTH DATA WAREHOUSE 3

angina was the lowest (97). Despite having moderate admission numbers (1,283), low birth weight had the highest charges in 2015 at $256,733,138 (Figure 2). Of all payer sources, Medicare had the highest proportion of payments for the observed PQIs (Figure 3). Figure 2. PQI Admissions vs. Charges, 2015 Table 1. Broward PQI Observation Rate per 100,000-2013-2015 2013 2014 2015 01-Diabetes/short-term 65 64.3 63.4 02-Perf. appendicitis 30,091.7 29,641 31,704.8 03-Diabetes/long-term 156.2 147.2 139.3 05-Chronic obstructive PD 215.9 198.9 214.7 07-Hypertension 84.6 83.9 89.8 08-Congestive HF 326.1 281.6 308.5 09-Low birth weight 6,968.7 7,217.5 6,848.9 10-Dehydration 40.7 35.2 61.6 11-Bacterial pneumonia 240.9 224.5 213.5 12-Urinary infections 197.9 198.1 196.6 13-Angina w/o procedure 10.8 12.6 6.6 14-Uncontrolled diabetes 30.4 25.8 35.4 15-Adult asthma 146.6 131.1 109.7 16-Diabetes/LE amputations 36.9 35.3 33.5 Red = Increase from previous year Source: Broward Regional Health Planning Council 5,000 4,500 4,000 3,500 3,000 2,500 2,000 1,500 1,000 500-4,535 $256,733,138 $300,000,000 $250,000,000 $200,000,000 $150,000,000 $100,000,000 $50,000,000 $0 Admissions Charges BROWARD REGIONAL HEALTH PLANNING COUNCIL CHAPTER VII: THE HEALTH DATA WAREHOUSE 4

Figure 3. PQI Charges by Payer Source Private, incl. HMO Other 16% No 2% charge/charity 2% Self-Pay 5% Medicaid 23% Medicare 52% PEDIATRIC QUALITY INDICATORS Pediatric Quality Indicators (PDIs) are a set of measures used with hospital inpatient-pediatric only discharge data to identify "ambulatory care sensitive conditions" (ACSCs) in pediatric populations. PDIs consist of the five ACSCs, measured as hospital admission rates. They re also a set of measure used with hospital inpatient discharge data, specific to pediatric patients. As with the PQIs among adults, perforated appendicitis had the highest PDI observation rate for the population between 1 to 17 years of age (Table 2). Despite having the highest number of admissions and charges (Figure 4), asthma was the only indicator for which the observation rate decreased from the previous year (153.2 to 119.8). Medicaid had the largest proportion of payments of the different payer sources (Figure 5). Table 2. Broward PDI Observation Rate per 100,000-2013-2015 2013 2014 2015 14-Asthma 189 153.2 119.8 15-Diabetes Short-term 29.9 25.5 34.3 16-Gastroenteritis 52.6 39.4 40.1 17-Perforated Appendix 32,057.4 33,333.3 39,351.2 18-Urinary Tract Infection 21.4 18.8 20.3 Red = Increase from previous year Source: Broward Regional Health Planning Council BROWARD REGIONAL HEALTH PLANNING COUNCIL CHAPTER VII: THE HEALTH DATA WAREHOUSE 5

Figure 4. PDI Admissions vs. Charges 500 450 400 350 300 250 200 150 100 50 0 431 $8,752,423 $10,000,000 $9,000,000 $8,000,000 $7,000,000 $6,000,000 $5,000,000 $4,000,000 $3,000,000 $2,000,000 $1,000,000 $- Admissions Charges Figure 5. PDI Charges by Payer Source Private, incl. HMO 23% Self-Pay 5% Other 11% Medicaid 61% BROWARD REGIONAL HEALTH PLANNING COUNCIL CHAPTER VII: THE HEALTH DATA WAREHOUSE 6

CHRONIC DISEASE (ICD-10-CM) HOSPITALIZATIONS BRHPC s web-based analytical engine allows public access to utilization by using the 10 th revision of the International Classification of Diseases (ICD-10-CM) chronic disease codes for AIDS, Asthma, Congestive Heart Failure (CHF), Hypertension and Sickle Cell. The Chronic Condition Indicator tool, developed as part of the Healthcare Cost and Utilization Project (HCUP), stratifies chronic diseases based on ICD-10-CM diagnosis codes. A chronic condition is a condition lasting 12 months or longer and meeting one or both of the following tests: (a) the condition places limitations on selfcare, independent living and social interactions; (b) the condition results in the need for ongoing intervention with medical products, services and special equipment. The identification of chronic conditions is based on all five-digit ICD-10-CM diagnosis codes, excluding external cause of injury codes (E codes). More information regarding the HCUP tools used in this report may be obtained at http://www.hcupus.ahrq.gov/tools_software.jsp. Figure 6 displays that hypertension accounts for both the highest number of admissions (70,950) and charges ($4,244,702,385) out of the six observed chronic conditions. Figure 6. Chronic Conditions Admissions vs. Charges, 2015 80,000 70,000 $4,244,702,385 $4,500,000,000 $4,000,000,000 60,000 50,000 40,000 30,000 20,000 70,950 $3,500,000,000 $3,000,000,000 $2,500,000,000 $2,000,000,000 $1,500,000,000 $1,000,000,000 10,000 $500,000,000 - AIDS Asthma Congestive Heart Failure Diabetes Hypertension SickleCell $- Admissions Charges BROWARD REGIONAL HEALTH PLANNING COUNCIL CHAPTER VII: THE HEALTH DATA WAREHOUSE 7

SELF-INFLICTED INJURY INCIDENCE The Health Data Warehouse includes suicide and self-inflicted injury incidence data by E-code. The cases have been pulled from the AHCA Inpatient database and are pulled when they contain any of the E-codes related to suicide or self-inflicted injury for any of the E-code fields. E-codes or external cause of injury codes are diagnostic categories which differ from nature of injury codes (N-codes) in providing data on the cause, rather than type, of injury. For example, a traumatic head injury, coded with an N-code, could result from a car accident or gunshot wound, both coded with E-codes. Additionally, E-codes distinguish self-inflicted injuries, essential information for suicide surveillance. Figure 7. Self-Inflicted Injuries, 2015 1,600 1,400 1,427 1,200 1,000 1,084 800 600 400 200-2011 2012 2013 2014 2015 AMBULATORY ED VISIT STRATIFICATIONS Hospital Emergency Departments (ED) are intended to provide urgent and lifesaving care; however, EDs have increasingly been utilized as a safety net provider by the uninsured, underinsured and persons with limited or no primary care services. This is likely due to federal law requiring hospital EDs to accept, evaluate and stabilize all those who present for care, regardless of their ability to pay. Consequently, hospital EDs are providing increasing levels of primary care services to millions of Americans. BRHPC s database provides two methods for analyzing ambulatory emergency department visits (visits resulting in inpatient admissions): 1)Acuity/Severity and 2) New York University (NYU) Algorithm. BROWARD REGIONAL HEALTH PLANNING COUNCIL CHAPTER VII: THE HEALTH DATA WAREHOUSE 8

AMBULATORY ED ACUITY/ SEVERITY LEVEL Ambulatory ED visits were aggregated by Current Procedural Terminology (CPT) Evaluation and Management codes delineating the relative severity of the condition upon arrival at the ED. Table 3. Evaluation and Management Acuity Classification Low Acuity ED Visit (99281 99282) HIGH ACUITY (99283 99285) 99281 - Requires a problem focused history; a problem focused 99283 Requires expanded problem focused history; expanded examination; a straightforward medical decision making. Presenting problem focused examination; medical decision making of moderate problems that are self-limited or minor. complexity. Presenting problems that are moderate severity. 99282 - Requires expanded problem focused history; expanded problem focused examination; medical decision making of low complexity. Presenting problems that are low to moderate severity. 99284 - Requires a detailed history; a detailed examination; medical decision making of moderate complexity. Presenting problems of high severity, and require urgent evaluation but no immediate significant threat to life or physiologic function. 99285 Requires a comprehensive history; comprehensive examination; medical decision-making of high complexity. Counseling/coordination of care with other providers or agencies provided consistent with nature of problem(s) and patient's/family's needs. Usually, presenting problems that are of high severity and pose an immediate threat to life or physiologic function. From 2014 to 2015, low acuity ED visits decreased by over 9,000 while high acuity visits increased by over 32,000. This data suggests that fewer individuals visited the hospital for non-life-threatening conditions, however there has been a major increase in high severity visits (Table 4). Table 4. Broward ED CPT Acuity Stratification, 2014 and 2015 CPT Visits Charges 2014 2015 2014 2015 99281 45,865 43,241 $21,866,831 $29,188,119 99282 82,209 75,358 $70,964,757 $70,935,161 99283 249,884 255,781 $528,083,211 $576,370,358 99284 218,502 235,476 $1,444,241,368 $1,679,674,531 99285 68,824 78,260 $869,519,333 $1,034,262,704 Total 665,284 688,116 $2,934,675,500 $3,390,430,873 Source: Broward Regional Health Planning Council ED AMBULATORY: EMERGENCY VS. AVOIDABLE New York University (NYU) ED Algorithm classifies visits based on patient principal diagnosis (ICD-10-CM), from the perspective of primary care and preventive care for emergent and non-emergent cases. The algorithm was developed with the advice of a panel of ED and primary care physicians, and based on an examination of a sample of almost 6,000 full ED records. Data abstracted from these records included the initial complaint, presenting symptoms, vital signs, medical history, age, gender, diagnoses, procedures performed and resources used in the ED. Based on this information, each case was classified into one or more of the following categories: 1. Non-Emergent 2. Emergent But Primary Care Treatable 3. Emergent, Ed Needed, But Preventable/Avoidable 4. Emergent, Ed Needed, Not Preventable/ Avoidable 5. All Other Conditions (conditions related to injury, mental health, alcohol and substance abuse, and all other unclassified conditions) BROWARD REGIONAL HEALTH PLANNING COUNCIL CHAPTER VII: THE HEALTH DATA WAREHOUSE 9

Because few diagnostic categories are clear-cut in all cases, the algorithm assigns cases probabilistically on a percentage basis, reflecting this potential uncertainty and variation. The methodology used in this analysis is as follows: The unit of analysis is the county resident ED visit not resulting in a hospital inpatient admission. ED visits for an individual whose place of residence was not identical to the county hospital or was unknown were excluded. The term ED Avoidable, is defined by NYU algorithm classifications 1-3 above, represents ED visits that were potentially avoidable or treatable in a primary care setting. The term Emergency Status, is defined by NYU algorithm classifications 1-4 above, is used to represent the cases identified as non-emergent or emergent. Table 5. Emergency Department (ED) NYU Algorithm Data, 2014 & 2015 2014 2015 Numerator: All NON-Drug/ Alcohol, Psychiatric, Injury & Unclassified Total 429,562 436,828 Charges $2,029,299,912 $2,296,233,271 Non-Emergent 45.3 45.6 Emergent Primary Care Treatable 40.8 40.6 Emergent Preventable 6.9 6.6 Emergent Non-Preventable 7.1 7.0 Numerator: ONLY Drug/Alcohol, Psychiatric, Injury & Unclassified Total 235,722 251,269 Charges $905,375,588 $1,094,072,166 Drug/Alcohol 7,605 8,506 Psychiatric 13,436 15,542 Injury 128,536 130,206 Unclassified 86,145 97,015 Source: Broward Regional Health Planning Council HEALTH INTERVENTION TARGETED SERVICES In FY 2010, the uninsured generated more than $36.9 million in charges billed to taxpayer-funded programs for avoidable hospital inpatient admissions and $9.5 million in emergency department visits. These costs may have been avoided if the uninsured had been linked to government-sponsored programs such as Medicaid and Medicare or the Memorial Primary Care Center Program. This connection to a medical home would have provided quality preventive care in an outpatient primary care venue, rather than in a costly emergency department or inpatient hospital setting. MHS s Health Intervention with Targeted Services (HITS) Expansion Program builds on the success of a 6-month HITS Pilot Program in one underserved neighborhood in Hollywood, Florida. The HITS Expansion Program strategically links the uninsured accessing MHS facilities for avoidable inpatient admissions and emergency department visits to either a government-sponsored program or Memorial s Primary Care Center Program. Through in-home visits from two dedicated outreach teams, the uninsured are connected to health insurance, a medical home and if needed, Disease Management services. The following provides an update on the HITS program for 2015: Met with 2,103 residents on the Memorial Mobile Health Units, in the HITS offices or in the resident s homes BROWARD REGIONAL HEALTH PLANNING COUNCIL CHAPTER VII: THE HEALTH DATA WAREHOUSE 10

Provided information and referral for case management services (that address social determinates of health), Medicare and ACA Navigator linkage Completed 141 One-E-Applications 197 were successfully enrolled into Medicaid 246 were successfully linked to Memorial Primary Care services Communities touched include East Davie, Dania Beach, Hollywood, Hallandale Beach, and West Park (East) as well as Pembroke Pines and Miramar as the uninsured continue to reside further west than in 2010. AHCA ED RECOMMENDATIONS The Florida Agency for Health Care Administration (AHCA) developed the following recommendations to address and inappropriate emergency department utilization: Healthcare access initiatives emphasizing early intervention and early access to appropriate care on behalf of uninsured persons can significantly improve the health status of Floridians and greatly reduce the financial burden on the healthcare system. This concept is embodied in the Department of Health Low Income Pool (LIP) Primary Care/Emergency Room Diversion projects. These projects emphasize aggressive outreach to identify high risk uninsured residents, linking these persons to primary care medical homes and disease management services, assisting in obtaining third party coverage and working to provide people with the medications they need to avoid hospitalization. A portion of the Low Income Pool should be devoted to community based primary care outpatient clinics and facilitating functions such as hospital based navigators who assist patients in accessing needed acute, chronic and preventive healthcare. The expansion of health information technology will allow providers to access a continuity of care record for their patient providing health information on pharmacy use, hospitalizations, diagnoses, procedures and lab tests ordered across the full range of healthcare providers. This information will be especially valuable for patients accessing primary care services in clinic settings where they may not see the same provider for each service rendered. Urgent care centers provide an alternative to the emergency department for urgent but non- life threatening emergencies such as lacerations, fractures, sore throats, ear aches, sciatic pain and sports injuries. Urgent care centers are not currently reimbursed under the Florida Medicaid program. The Agency may want to consider conducting a pilot program adding urgent care centers as a reimbursable facility type to see if this results in cost savings and appropriate utilization. BROWARD REGIONAL HEALTH PLANNING COUNCIL CHAPTER VII: THE HEALTH DATA WAREHOUSE 11