Note: This is an authorized excerpt from 2016 Healthcare Benchmarks: Data Analytics and Integration. To download the entire report, go to

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1 Note: This is an authorized excerpt from 2016 Healthcare Benchmarks: Data Analytics and Integration. To download the entire report, go to or call

2 2016 Healthcare Benchmarks: Data Analytics and Integration In this inaugural survey on data analytics and integration conducted in January 2016, 88 healthcare organizations describe goals, data types, collection processes, program elements, challenges and successes in response to the January 2016 Data Analytics survey by the Healthcare Intelligence Network. Executive Editor Melanie Matthews HIN executive vice president and chief operating officer Project Editor Patricia Donovan Document Design Jane Salmon 2016, Healthcare Intelligence Network 3

3 Table of Contents About the Healthcare Intelligence Network... 6 Executive Summary... 6 Survey Highlights... 7 Key Findings... 7 Program Components... 7 Results and ROI...8 Challenges of Data Analytics...8 About the Survey... 8 Respondent Demographics... 9 Using This Report... 9 Responses by Sector...10 The Hospital/Health System Perspective The Health Plan Perspective The Physician Practice Perspective Respondents in Their Own Words...14 Most Effective Tool, Workflow or Protocol Greatest Challenges Successes Achieved with Care Plans...17 Conclusion...19 Responses to Questions...19 Figure 1: All - Current Data Analytics Strategy...20 Figure 2: All - Future Data Analytics Strategy...20 Figure 3: All - Primary Program Goal Figure 4: All - Components of Data Analytics Infrastructure Figure 5: All - Targeted Populations Figure 6: All - Data Collected for Analysis Figure 7: All - Percentage of Population Data Collection Figure 8: All - Targeted Clinical Conditions Figure 9: All - Program ROI...24 Figure 10: All - Program Impact...24 Figure 11: All - Most Significant Data Analytics Challenge Figure 12: All - Organization Type Figure 13: Hospitals - Current Data Analytics Strategy...26 Figure 14: Hospitals - Future Data Analytics Strategy...26 Figure 15: Hospitals - Primary Program Goal Figure 16: Hospitals - Components of Data Analytics Infrastructure Figure 17: Hospitals - Targeted Populations...28 Figure 18: Hospitals - Data Collected for Analysis...28 Figure 19: Hospitals - Percentage of Population Data Collection...29 Figure 20: Hospitals - Targeted Clinical Conditions...29 Figure 21: Hospitals - Program ROI , Healthcare Intelligence Network 4

4 Figure 22: Hospitals - Program Impact Figure 23: Hospitals - Most Significant Data Analytics Challenge Figure 24: Health Plans - Current Data Analytics Strategy Figure 25: Health Plans - Future Data Analytics Strategy Figure 26: Health Plans - Primary Program Goal Figure 27: Health Plans - Components of Data Analytics Infrastructure Figure 28: Health Plans - Targeted Populations Figure 29: Health Plans - Data Collected for Analysis Figure 30: Health Plans - Percentage of Population Data Collection Figure 31: Health Plans - Targeted Clinical Conditions Figure 32: Health Plans - Program ROI Figure 33: Health Plans - Program Impact Figure 34: Health Plans - Most Significant Data Analytics Challenge Figure 35: Physician Practices - Current Data Analytics Strategy Figure 36: Physician Practices - Future Data Analytics Strategy Figure 37: Physician Practices - Primary Program Goal Figure 38: Physician Practices - Components of Data Analytics Infrastructure Figure 39: Physician Practices - Targeted Populations Figure 40: Physician Practices - Data Collected for Analysis Figure 41: Physician Practices - Percentage of Population Data Collection Figure 42: Physician Practices - Targeted Clinical Conditions Figure 43: Physician Practices - Program ROI Figure 44: Physician Practices - Program Impact Figure 45: Physician Practices - Most Significant Data Analytics Challenge Appendix A: 2016 Data Analytics & Integration Survey Tool , Healthcare Intelligence Network 5

5 About the Healthcare Intelligence Network The Healthcare Intelligence Network (HIN) is an electronic publishing company providing high-quality information on the business of healthcare. In one place, healthcare executives can receive exclusive, customized up-to-the-minute information in five key areas: the healthcare and managed care industry, hospital and health system management, health law and regulation, behavioral healthcare and long-term care. 77% of 2016 survey have crafted a data analytics strategy. Executive Summary As providers increasingly are reimbursed for services on the basis of quality and value, healthcare organizations are turning to data analytics to more closely scrutinize the populations they serve. The expectations are that the generation, sharing and analysis of patient and population data will yield actionable information providers can use to focus care, enhance patient outcomes and experiences, and drive down cost. Results from a 2016 Healthcare Intelligence Network survey examining healthcare data analytics trends bear out these assumptions. More than threequarters of responding organizations 77 percent already have mapped out a data analytics and integration strategy, the survey found, with 41 percent attributing declines in total spend to data analytics. The primary driver of data analytics initiatives is population health management, say more than a quarter of respondents, with high-utilizers or hot-spotters (patients with frequent ER visits and hospital stays) the principal population to target, say 74 percent. The January 2016 survey also determined that clinical and operational dashboards lead the list of data analytics tools for 62 percent of respondents. Of the myriad categories of healthcare information sliced and diced within data analytics programs, patients clinical data is the most commonly parsed, say 86 percent of respondents. A majority of data analytics adopters 60 percent say they collect data on upwards of 75 percent of patient and member populations served. Healthcare organizations invested in data analytics already have begun to reap the benefits of their data dives. For example, 58 percent of respondents say their healthcare quality ratings have spiked as a result of data analytics. 2016, Healthcare Intelligence Network 6

6 Respondent Demographics Responses to the January 2016 Data Analytics survey were submitted by 88 organizations. Of 51 respondents identifying their organization type, 37 percent were hospitals or health systems; 18 percent were service providers; 8 percent were health plans; 8 percent were physician practices, and 29 percent categorized their organization type as Other. Using This Report Frequent utilizers of hospital and ED services are the principal data analytics target, say 74 percent. This benchmarking report is intended as a resource for healthcare organizations searching for comparable data and means to measure implementation and progress. It is also a helpful planning tool for organizations readying initiatives in this area. The initial charts and graphs presented here represent results from all respondents; images in subsequent sections depict data from high-responding sectors. (Figure titles begin with the segment they represent; for example, All, Health Plans, Hospitals, etc.) Often, one of the largest responding sectors is composed of respondents identifying their organization type as Other. In general, we do not depict results from this segment because it represents a wide range of organization types, including consultants and product vendors. However, you will always find a graph indicating the demographics of respondents. Here are some additional tips for using this report: See how you measure up: Scan this report for your sector, and see how your program compares to others. Note where you are leading and where you are behind. Evaluate your efforts: Think about where you have been focusing your efforts in this area. Look for trends in the data in this report. Look for benchmarks set by your sector and others. Set new goals: Use the data in this report to set new goals for your organization, or to raise the bar on existing efforts. Use it as a reference book: Keep this report accessible so you can refer to it in your work. Use these data to support your efforts in this area. If you have questions about the data in this report, or have feedback for our team, don t hesitate to contact us at info@hin.com or , Healthcare Intelligence Network 9

7 Figure 1: All - Current Data Analytics Strategy Does your organization have a data analytics and integration strategy? 22.7% Yes No 77.3% 2016 HIN Data Analytics & Integration Survey January, 2016 Figure 2: All - Future Data Analytics Strategy Will you launch a data analytics and integration strategy in the next 12 months? 37.5% Yes No 62.5% 2016 HIN Data Analytics & Integration Survey January, , Healthcare Intelligence Network 20