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02 · Insights— The analysis

Healthcare

534 documented deployments, 13.5% of the record. What they do, what they report and how they are built.

Data updated

534
deployments
on record
29%
use AI agents
154 deployments
3.2
average innovativeness, 1 to 5
Differentiated
published in the last 6 months
105 in the 6 months before
§ 1

The read

Written 19 Jun 2026 from 40 representative deployments. The figures on this page are live.

Healthcare AI adoption is concentrated in repeatable workflow automation: patient engagement chatbots, appointment scheduling, clinical documentation, claims processing, and document-heavy clinical review all target the industry’s biggest pressure points, from repetitive administrative burden and back-office bottlenecks to fragmented data and slow access to guidance. The pattern is clear: AI is being used to turn unstructured records, faxes, and knowledge bases into structured, actionable workflows that speed documentation, adjudication, and care coordination. Maturity looks strongest where the task is bounded and document-led; clinical decision support, remote monitoring, and predictive insights remain more experimental.

§ 2

What is distinctive about Healthcare

Clinical decision support is 10.6× more common here than across the whole record.

Lift compares a pattern’s share of deployments here with its share everywhere. 1× means no difference.

  1. Clinical decision support20 here of 20 in total
    10.6×
  2. Healthcare analytics18 here of 18 in total
    10.6×
  3. Remote patient monitoring14 here of 14 in total
    10.6×
  4. Clinical documentation78 here of 80 in total
    10.3×
  5. Medical imaging26 here of 28 in total
    9.9×
  6. Healthcare workflow automation34 here of 38 in total
    9.5×
§ 3

The most common patterns

Clinical documentation leads with 78 deployments from 65 organizations.

  1. Clinical documentation65 organizations · 5 in the last 6 months
    78
  2. Patient engagement63 organizations · 5 in the last 6 months
    72
  3. Healthcare workflow automation30 organizations · 4 in the last 6 months
    34
  4. Medical imaging25 organizations · 1 in the last 6 months
    26
  5. Medical document automation23 organizations · 2 in the last 6 months
    25
  6. Clinical decision support18 organizations · 4 in the last 6 months
    20
  7. Healthcare analytics17 organizations · 1 in the last 6 months
    18
  8. Remote patient monitoring13 organizations · 1 in the last 6 months
    14
8 of 20 patterns
§ 4

Across business functions

Operations accounts for the most deployments here: 424.

A deployment can serve several functions.

  1. Operations79% of this dossier
    424
  2. Legal & Compliance49% of this dossier
    259
  3. Research & Development41% of this dossier
    220
  4. Human Resources37% of this dossier
    200
  5. Supply Chain25% of this dossier
    133
  6. Customer Service16% of this dossier
    83
  7. Finance16% of this dossier
    83
  8. Marketing13% of this dossier
    68
§ 5

What deployments here report

184 Healthcare deployments publish a quantified result.

  1. Time & speed

    158 metrics

    Reduction · median and middle half
    −50%Median reduction −50%, middle half −27% to −78%, from 35 metrics
    Increase · median+68%14 metrics
  2. Cost savings

    32 metrics

    Reduction · median and middle half
    −47%Median reduction −47%, middle half −30% to −76%, from 20 metrics
    Increase · median+650%2 metrics · few
  3. Adoption & scale

    21 metrics

    Reduction · median and middle half
    −22%fewMedian reduction −22%, middle half −22% to −22%, from 1 metric
    Increase · median+200%1 metric · few
  4. Quality & accuracy

    13 metrics

    No reductions reported
    Increase · median+84%6 metrics

Grey figures rest on fewer than 5 published metrics. Read them as examples, not as a typical result.

§ 6

How it is built

Microsoft appears in 53% of these deployments.

  • Custom-built77% · 290
  • Low-code7% · 28
  • Bought9% · 35
  • Mixed6% · 24

The build approach is known for 377 of 534 deployments (71%). The rest are left out.

  1. Microsoft283 deployments
    53%
  2. AWS117 deployments
    22%
  3. GCP114 deployments
    21%
  4. Oracle9 deployments
    2%
  5. IBM6 deployments
    1%
  6. Alibaba5 deployments
    1%
§ 7

The highest-ranked deployments

Ranked by innovativeness adjusted for age. Every figure above is computed from records like these.

Only records with high or medium evidence strength are ranked.

No records to show yet.