Source page: McKinsey & Company

Commentary

Visual form

Ranked stacked bar chart.

Layout / body structure

The chart is one descending row of vertical stacked bars, read left to right by total respondents, with long category labels above each bar and a total-respondent count printed along the baseline.

What is being compared

It compares the biggest challenges health system executives see in executing digital and AI transformation over the next two years.

Measurement system

Each bar is measured by number of respondents selecting the challenge, and the stacks split that total into counts ranked as No. 1, No. 2, and No. 3 priorities.

Visible structure inside the graphic

Every challenge bar is stacked in three colors for rank position, with the darkest base showing No. 1 selections, the mid-blue middle showing No. 2, and the light blue top showing No. 3, while the category labels float above with connector lines anchoring them back to the bars.

Main takeaway from the visual

The chart shows that transformation barriers are concentrated in practical execution problems rather than abstract strategy alone, with legacy systems, budget limits, workforce readiness, and data quality drawing the highest counts.

Key standout values or extremes

Legacy systems leads with 109 total respondents, budget or capital limitations follows at 102, workforce readiness at 68, and poor data quality at 67; at the smaller end, organizational strategy not prioritizing digital has 34 and being unaware of digital solutions available has 32.

Controls / sequence, when applicable

This is a static chart image with no in-chart controls to operate.

Companion media, when applicable

There is no separate companion audio or video; the chart image is the full visual on this page.


Health systems’ digital and AI constraints

Artificial Intelligence | Digital | Healthcare

July 15, 2024 – To address rising costs, clinical workforce shortages, and other headwinds, health systems are increasing their focus on digital and AI technology. Yet many health system executives indicate their organizations are still not investing enough and lack sufficient resources or planning in this area, say senior partner Karl Kellner and coauthors. Legacy systems and budget constraints are the biggest barriers to digital and AI transformation, according to a survey of 200 global health system executives.

Health system executive respondents identified a host of challenges to executing digital and AI transformation.

To read the article, see “Digital transformation: Health systems’ investment priorities,” June 7, 2024.


customizer here