2016 Healthcare Benchmarks: Data Analytics and Integration - Product Image

2016 Healthcare Benchmarks: Data Analytics and Integration

  • ID: 3674299
  • Report
  • 40 pages
  • Healthcare Intelligence Network
1 of 4
77% of 2016 Survey Have Crafted a Data Analytics Strategy
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.

As quality and value increasingly drive healthcare rewards, the generation, sharing and analysis of patient data is a prerequisite for organizations striving to enhance clinical outcomes and drive down cost. Yet the burden of creating infrastructure to support health information management deters many payors and providers from fully engaging in a robust business intelligence strategy.

2016 Healthcare Benchmarks: Data Analytics and Integration examines the goals, data types, collection processes, program elements, challenges and successes shared by healthcare organizations responding to the January 2016 Data Analytics survey.

This 40-page report assembles hundreds of metrics on data analytics and integration from hospitals, health plans, physician practices and other responding organizations, charting the impact of data analytics on population health management, health outcomes, utilization and cost.

Breaking down findings by high-responding industry sectors, this report includes the following data points:

- Incidence of current and planned data analytics and integration strategies;
- Primary goals of data analytics efforts;
- Components of data analytics infrastructure, including registries, data warehousing, and more;
- Populations and clinical conditions targeted by data analytics initiatives;
- Categories and percentages of patient data collected by existing programs, including output from remote monitoring;
- Most significant barriers and challenges related to data analytics;
- Most effective processes, tools and workflows in data analytics efforts;
- Most promising outcomes from data analytics to date;
- Impact of data analytics on value-based metrics, including healthcare utilization, length of stay, ER visits, readmissions, patient engagement, physician performance and other benchmarks;
- ROI from data analytics program;
- The complete January 2016 Data Analytics and Integration survey tool;

and much more.

This benchmark report is designed to meet business and planning needs of health plans, managed care organizations, physician organizations, health systems, and others by providing critical benchmarks on data analytics and integration.

This report is part of the Healthcare Benchmarking series, which provides continuous qualitative data on industry trends to empower healthcare companies to assess strengths, weaknesses and opportunities to improve by comparing organizational performance to reported metrics.
READ MORE
Note: Product cover images may vary from those shown
2 of 4
Executive Summary
- Survey Highlights

Key Findings
- Program Components
- Results and ROI
- Challenges of Data Analytics

About the Survey

Respondent Demographics

Using This Report

Responses by Sector
The Hospital/Health System Perspective

The Health Plan Perspective

The Physician Practice Perspective

Respondents in Their Own Words
- Most Effective Tool, Workflow or Protocol
- Greatest Challenges
- Successes Achieved with Care Plans

Conclusion

Responses to Questions

Figure 1: All - Current Data Analytics Strategy
Figure 2: All - Future Data Analytics Strategy
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
Figure 10: All - Program Impact
Figure 11: All - Most Significant Data Analytics Challenge
Figure 12: All - Organization Type
Figure 13: Hospitals - Current Data Analytics Strategy
Figure 14: Hospitals - Future Data Analytics Strategy
Figure 15: Hospitals - Primary Program Goal
Figure 16: Hospitals - Components of Data Analytics Infrastructure
Figure 17: Hospitals - Targeted Populations
Figure 18: Hospitals - Data Collected for Analysis
Figure 19: Hospitals - Percentage of Population Data Collection
Figure 20: Hospitals - Targeted Clinical Conditions
Figure 21: Hospitals - Program ROI
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
Note: Product cover images may vary from those shown
3 of 4

Loading
LOADING...

4 of 4
Note: Product cover images may vary from those shown
Adroll
adroll