How Healthcare CIOs View the Data Analytics Landscape
The April survey from eHealth Initiative and the College of Information Management Executives got responses from 98 provider organizations--35 percent delivery systems, 27 percent hospitals, 14 percent academic medical centers and 9 percent community health centers/clinics. Only four respondents were not running analytics at the time of the survey.
Seventy-two percent of responding providers extract data from more than 10 platforms or interfaces--some more than 100--with EHR and billing/financial data still by far the most common. But data also comes from patient-generated sources such as portals and health risk assessments (45 percent), unstructured text (39 percent), remote monitoring devices (29 percent), health information exchanges (22 percent), mobile applications (11 percent) and genomic data (7 percent).
Analytics remain in the early stages of maturity. Traditional common uses of analytics continue at high levels. These include quality improvement (93 percent), revenue cycle management, (91 percent), resource utilization (81 percent), and population health management (79 percent). Respondents use descriptive analytics that mine for historical or retrospective analysis at a 94 percent rate. Only 68 percent use predictive analytics to forecast outcomes, trends or performance, and this is mostly done on a monthly or quarterly basis. One-third use prescriptive analytics with sophisticated models to optimize performance and recommend specific actions. Only 20 percent of respondent’s analytics operations regularly integrate and coordinate at an institutional level.
Trained staff to collect/process/analyze data, along with interoperability and cost, have been common barriers to implementing an effective analytics program. Survey respondents report new challenges are emerging. These include access to external data beyond proprietary networks; cost-prohibitive work required to clean/validate/integrate external data when available, lack of funding or return on investment, increased regulations on data use and patient privacy. “These trends suggest the critical need for strategic planning in implementing analytics, no matter how large or small,” according to a report of survey results.
Consumer engagement has started to make its mark on data analytics initiatives. Two-thirds of respondents use analytics to support engagement with the primary focus being on patient satisfaction. But few organizations also are applying analytics to consumer strategies such as personalized communication and services, acquisition and retention of consumers, or targeted behavioral change programs.
A report on survey findings, “The Landscape of Data & Analytics in Healthcare” is available here.
Slide show courtesy of Health Data Management.
Nearly all provider CIO respondents in a recent survey believe data analytics will play a big role in succeeding with accountable care and other value-based healthcare initiatives. But while 42 percent say they have a flexible and scalable analytics plan, more than three-quarters report only moderate or minimal commitment to integrating analytics into practice.
Gartner’s Cool Vendors In Big Data 2015
Data Lakes Guide: 10 Requirements for Success
10 Secrets to Predictive Analytics Success
10 NoSQL Enterprise Use Cases
Top 10 Careers With The Best 2015 Outlook
20 Hybrid Cloud Questions CIOs Must Ask
Top 11 Business Intelligence Software Companies
8 Things To Know About Apple Watch