43% of healthcare execs implement tech with front-line staff, physician input

Healthcare executives are increasingly seeking input from front-line staff and physicians prior to implementing new technology, according to an Experience Innovation Network report.

Experience Innovation Network — Vocera Communications' research collaborative — surveyed 207 healthcare experience leaders in the United States and Canada for the third annual Experience Beyond Boundaries: The Next-Generation CXO report. The researchers supplemented their survey findings with interviews from more than 40 healthcare experience executives.

Here are four things to know.

1. The top three approaches respondents used to infuse staff, nurse and physician voices into their organization's experience process improvement and technology efforts were:

  • Solicit improvement ideas from front-line staff and physicians: 70 percent
  • Involve front-line team members in co-design and dissemination of experience parameters: 48 percent
  • Select and configure all new technology solutions with help from front-line staff and physicians: 43 percent

2. Seventeen percent of respondents also reported enlisting input from non-employed community and specialty physicians on all new technology solutions.

3. The top three approaches to infuse patient and family voices into experience process improvement and technology efforts were:

  • Establish a single patient-family advisory council for the organization: 47 percent
  • Require patients and families to be involved in every strategic decision: 18 percent
  • Have patient-family partners dedicated to every improvement project: 15 percent

4. Organizations were most likely to have the following three experience support technologies in place:

  • HIPAA-compliant platform to update friends or family on patient status, such as an app or texting capabilities
  • Direct communication between physicians and nurses regarding a plan of care and critical results, such as a texting, voice or Skype platform
  • Machine learning or predictive analytics to identify patient risk of various conditions, including falls or dissatisfaction

Click here to view the full report.

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