7 Organizational Barriers to Effectively Analyzing Clinical Data

Most healthcare providers feel that prioritizing in terms of what to work on first is a major organizational barrier to effectively analyzing clinical data, according to "Needles in a Haystack: Seeking Knowledge with Clinical Informatics," a report by PwC's Health Research Institute.

For the report, researchers conducted 30 in-depth interviews with IT, clinical and strategy professionals involved with informatics within their healthcare organizations. They also conducted online surveys, in 2011, of more than 400 providers, 90 health insurers and 100 pharmaceutical and life sciences executives on their approaches and strategies for analyzing clinical data.

Seven major organizational barriers providers face in being able to analyze clinical data effectively, according to the report, are:

•    Prioritizing what to work on first — 58 percent report this as being a major barrier
•    Higher priority efforts taking all capacity in organization — 52 percent report this as being a major barrier
•    Aligning clinical and technology teams — 50 percent report this as being a major barrier
•    Preventing information overload that complicates providers' efforts to discern key clinical information — 44 percent report this as being a major barrier
•    Data being kept in silos throughout the organization — 43 percent report this as being a major barrier
•    Inadequate funding — 43 percent report this as being a major barrier
•    Lack of governance — 25 percent report this as being a major barrier


More Articles on Clinical Informatics:

4 Most Important Skills to Achieve Healthcare Provider IT Priorities
Study: 79% of Healthcare Organizations Use Clinical Informatics to Reduce Medical Errors
The Future of Imaging Informatics, Meaningful Use And Beyond






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