"Artificial Intelligence (AI)" - AI use in European healthcare - HIMSS Europe

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"Artificial Intelligence (AI)" - AI use in European healthcare - HIMSS Europe
„Artificial Intelligence (AI)“

            AI use in European
                healthcare

                                                  www.himss.eu/analytics               1
                                                            Results, May 2018
                                 © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
"Artificial Intelligence (AI)" - AI use in European healthcare - HIMSS Europe
TABLE OF CONTENT

• Introduction & methodology                                                                               page 3

• Survey questions                                                                                         page 4

• Results
      Key Findings                                                                                         page 5
      Used and planned Artificial Intelligence (AI) tools                                                  page 7
      Budget for AI investments                                                                            page 11
      Challenges for AI in healthcare                                                                      page 12
      Benefits from AI in healthcare                                                                       page 13
      Breakthrough for AI tools in healthcare                                                              page 17
      Most advanced country with regards to the use of AI in healthcare                                    page 18
      Business expectations                                                                                page 19

                                                                                                                                2

                                                                          © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
"Artificial Intelligence (AI)" - AI use in European healthcare - HIMSS Europe
HIMSS ANALYTICS – WHO WE ARE
HIMSS Analytics in Europe provides healthcare organisations, governments and industry with extensive data resources and services about the
adoption and use of healthcare IT in Europe. HIMSS Analytics’ offerings include database and advisory solutions which encompass market
research, IT adoption benchmarking, IT Maturity Models for topics like Electronic Medical Records or Continuity of Care. These offerings are
designed to support Management and CIOs, IT Executives and Clinicians from across Europe to compare and measure their progress.

EHEALTH TRENDBAROMETER – METHODOLOGY
 Objectives                     o Continuous evaluation of trends and issues in the European eHealth sector:
                                  2 – 4 survey waves per year, with both varying and recurring topics
                                o Provide insights into current and desired states of eHealth in Europe
                                o Enable discussions within the European eHealth community
 Study design                   o   Structured quantitative online survey
                                o   Quick completion (time-to-complete is < 5 min)
                                o   Survey language(s): English, German
                                o   Participation via personal email invitation or via public link on www.himss.eu and other channels
 Target audience                o Key audience: eHealth professionals from several European countries, especially:
 and participants                 o IT staff, administrative staff, and clinicians from health facilities (e.g. CIO’s, CEO’s, Physicians, Nurses)
                                  o Professionals from health-IT related software and consulting companies
                                  o Professionals from other eHealth related sectors (e.g. health authorities, research, journalism)
                                o Number of participants: approx. 300 – 500 per survey wave

 Survey period                  o Typical field time: Approx. 2 months
                                o Specific field time for „Artificial Intelligence“ TRENDBAROMETER:         Access all eHealth TRENDBAROMETERS here:
                                  February – March 2018                                                                www.himss.eu/healthcare-              3
                                                                                                                        providers/ehealth-trends
                                                                                                       © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
"Artificial Intelligence (AI)" - AI use in European healthcare - HIMSS Europe
SURVEY QUESTIONS
Main Topic: „Artificial Intelligence“
1.   What type of organisation are you working for?
2.   Does your organisation already use or do you have specific plans to implement/provide Artificial Intelligence (AI) tools?
3.   When will the planned AI tools be implemented/launched?
4.   In which areas does your organisation use/have or plan to implement/provide AI tools?
5.   Do you think your organisation provides sufficient budget to invest in AI over the next 12 months?
6.   In your opinion, which are the biggest challenges for AI in healthcare?
7.   In your opinion, which are the biggest benefits from using AI in healthcare?
8.   When do you expect a breakthrough for AI tools in healthcare, i.e. when will they become powerful, useful and
     widespread in your country?
9.   In your opinion, which country has made most progress so far with regards to the use of AI in healthcare?
10. How will the environment for eHealth innovation and investment in your country develop over the next 12 months?

                                       Artificial Intelligence in this study is defined as…
               … computer applications designed to sense, understand, act and learn so that they can perform
             administrative and clinical healthcare functions, either on their own or to augment human activities.
                              Typically, this would include the use of deep learning technology.

                                                                                                                                                4

                                                                                          © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
"Artificial Intelligence (AI)" - AI use in European healthcare - HIMSS Europe
KEY FINDINGS
        eHealth Business climate: The business trend for eHealth continues to be positive, albeit at a slightly lower
        level than at the end of 2017.

  5     Lessons on Artificial Intelligence (AI) in healthcare
Lesson 1: Healthcare providers are just starting to use AI tools.
Only 16% of healthcare facilities in Europe currently use AI tools (of which they are aware). In general the use of AI tools in health facilities appears to trail significantly
behind what the industry is already offering. The variety of available AI tools is pretty broad, with solutions that provide better workflow support slightly dominating.
The Nordic countries and the Netherlands are European pioneers in the use of AI tools.
Lesson 2: AI for healthcare is a growing market expected to breakthrough in 5 years.
Get ready to see AI tools being used all over the place in about 5 years. eHealth professionals expect them to be powerful, useful and widespread by 2023. In the
meantime, 21% of health facilities have specific purchase plans for AI tools, every second software vendor plans new product launches in that field, and nearly all of this
will be executed within the next 3 years. However, health facilities remain cash-strapped, with a majority not having sufficient budgets for AI, at least in the near term.
Lesson 3: AI tools must mature and confidence in products needs to be increased.
Employees from health facilities and governmental authorities are concerned about the maturity of currently existing AI tools. Software vendors are aware of those
concerns and will face this lack of trust from clinicians and other potential customers. AI tools also need to prove that they can handle data privacy and are either
providing a clear return on investment or can be implemented and used relatively inexpensively.
Lesson 4: This is no hype! eHealth professionals, users and producers, see a world of opportunities for AI use in healthcare.
eHealth professionals appear very confident that AI will help to improve care quality, support clinicians to take better and more informed decisions, provide more
personalised treatments, enable healthcare professionals to save time, be more efficient, focus on complex or urgent cases etc. Software vendors in particular
also highlight the potential that AI will help to reduce medical errors, raise efficiency and enable cost savings – which needs to be proven.
Lesson 5: The US is considered the most advanced country in terms of using AI in healthcare.
The European eHealth community has the impression that the US is the key market for AI tools and usage at the moment. A mature IT infrastructure in health-
care, a large market with 325 million citizens and the fact that the most successful and innovative software vendors and venture capitalists are located there,
might stimulate that impression. In Europe, the Nordic countries (incl. Estonia) are perceived to be most advanced to use AI tools.                                                5

                                                                                                                       © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
SAMPLE DISTRIBUTION – SURVEY PARTICIPANTS
                                                                              Respondent‘s occupation
        Geographic distribution
Germany                                          Health facility                               Software vendor
                                                 • CIO (21.5%)                                 • CEO (18.9%)
Austria
                          21%         20%        • Medical Profession (Physician) (21.5%)      • Organisational and Corporate
Switzerland                                      • IT Staff (15.2%)                                Governance (15.6%)
Netherlands                                      • Medical Profession (Nurse, Pharmacist...)   • IT Staff (7.8%)
                       9%     n=562         7%
                                                    (5.9%)                                     • Researcher/Scientist (7.8%)
Nordic Countries
                        7%                 12%   • Organisational and Corporate                • Software Developer (5.6%)
Italy                                               Governance (5.6%)                          • CIO (4.4%)
                             16%      8%
Spain                                            • CMO (4.8%)                                  • Quality Management Staff (3.3%)
Other                                            • CEO (4.8%)                                        • Other position (86.7%)
                                                 • Quality Management Staff (4.4%)
                     Country                n
                     Germany               121
                                                 • Researcher/Scientist (4.4%)
                     Switzerland           65    • Other position (11.9%)
                     Spain                 50                                              n=562
                     Netherlands           44    Other                                                            Governmental health authority
                     Austria               42    • Researcher/Scientist (32.6%)                                   • Organisational and
Countries or regions Other*                41    • CEO (14.9%)                                                        Corporate Governance
with more than 30    Italy                 37    • Organisational and Corporate                                       (26.6%)
participants are     Denmark               32       Governance (8.5%)                          •       CIO (17.2%)
shown individually.  Belgium               25    • IT Staff (4.3%)                             •       IT Staff (15.6%)
                     Sweden                22    • Quality Management Staff (3.5%)             •       Researcher/Scientist (10.9%)
*„Other“ respondents Norway                20
are from: Greece,                                • CIO (2.1%)                                  •       Quality Management Staff (6.3%)
                     United Kingdom        17
Turkey, Estonia                                  • Other position (34.0%)                      •       CEO (3.1%)
                     France                16
                     Finland               15                                                  •       Clerk (1.6%)
                     Ireland               15                                                  •       Other position (18.8%)
                     Total                 562
                                                                                                                                                         6

                                                                                                   © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
USE OF AI TOOLS – BY TYPE OF ORGANISATION
The vast majority of health professionals in Europe (84%) currently does not use AI (Artificial Intelligence) tools, or are at least not aware of it.
One out of four health professionals is aware about specific plans to implement AI tools over the next 1 – 3 years. Software vendors are a bit
ahead of the curve. More than one out of four (28%) already offer AI tools, and another 51% have specific plans to launch such products. We
expect this to become a very competitive market over the next few years due to many new solution providers entering that sector, many of
them being start-ups or established companies from non-healthcare related industry segments.
Does your organisation already use or do you have specific plans to implement/provide Artificial Intelligence
(AI) tools?
[Only participants who are working in a healthcare facility or for a SW vendor]

                                                                                                                                                              7

                                                                                                        © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
USE OF AI TOOLS – BY COUNTRY OR REGION
Healthcare providers in the Nordic countries and the Netherlands are at the forefront of AI usage in Europe. At the bottom of the table are the
D-A-CH countries, with just 5% to 10% of health professionals currently using AI tools. When looking at plans to purchase and implement AI tools
it also appears that healthcare professionals in Germany and Austria are more cautious than their peers in other countries to use such products
in the near future. However, in general the demand for AI tools is certainly increasing, especially in Switzerland and Spain where between 37% to
42% of health professionals claim to have purchase plans for AI solutions.
Does your organisation already use or do you have specific plans to implement Artificial Intelligence (AI) tools?
[Only participants who are working in a healthcare facility; total including „other“]

Nordic Countries
           n=29
    Netherlands
           n=18
            Italy
           n=16
          Spain
           n=19
    Switzerland
           n=30
       Germany
           n=68
         Austria
           n=21

            Total
           n=249
                                                                                                                                                         8

                                                                                                   © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
PLANS AND BUDGETS FOR AI TOOLS – BY TYPE OF ORGANISATION
If plans exist to implement or launch AI tools, most of them will be realised within the next 2 years. This is similar for healthcare providers as for
software vendors. In general, more than 90% of already existing plans will be realised within a 3-year period, i.e. by the year 2021.
Despite the interest and will to purchase AI tools, lack of funds can be a roadblock for healthcare providers, at least in the short term. 34% of
those that already have plans claim that their organisation doesn’t provide a sufficient budget to invest in AI over the next 12 months.

When will the planned AI tools be implemented/launched?                                              Do you think your organisation provides
[Only participants who are working in a healthcare facility or for a SW vendor and who have          sufficient budget to invest in AI over the
plans to implement/launch AI tools]
                                                                                                     next 12 months?
                                                                                                     [Only participants who are working in a healthcare facility and
                                                                            32%                      who already use or plan to implement AI tools; total including
          25%                     Within 1 year                                                      „other“]
                                                                                  37%
   … of health facility
   respondents have
    specific plans to                                                             37%
   purchase AI tools                 1 - 2 years
                                                                                   39%
                                                                                                                        34%
                                                                                              Healthcare
                                                                                              providers                           n=83
                                                                    23%                         only
          51%                        2 - 3 years                                                                                            66%
                                                              17%

     … of software
  vendor respondents                                   9%
                             More than 3 years                                                                                 Yes       No
   have specific plans                               7%
   to launch AI tools

                                     Health facility (n=57)         Software vendor (n=41)                                                                             9

                                                                                                               © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
TYPE OF AI TOOLS – BY TYPE OF ORGANISATION
At the moment, healthcare providers use AI tools most frequently for Workflow Assistance (14%) and in Research (13%), closely followed by
Medication Administration (12%) and Radiology (11%). Those areas, plus Oncology, are also where healthcare providers have most of their AI
investment plans. A similar pattern is visible when looking at what software vendors already offer, or plan to launch in the near future. AI tools
that provide better workflow support for clinicians or offer a preliminary diagnosis stand a bit out and appear to be exceptionally promising for
software vendors.
In which areas does your organisation use/have or plan to implement/provide AI tools?
[Only participants who are working in a healthcare facility or IT software vendor and who already use/have or plan to implement/provide AI tools]

                                                                                                                                                                         10

                                                                                                                   © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
CHALLENGES FOR AI IN HEALTHCARE – BY TYPE OF ORGANISATION
Overall, a lack of product maturity and trust from medical staff are perceived to be the biggest challenges for a more widespread use of AI in healthcare.
This perception differs quite significantly by type of organisation. Software vendors on the one hand are currently mostly challenged by having insufficient
access to high quality data to train their AI tools as well as missing trust from medical staff in their tools. Health facility employees on the other hand are
cautious to use or purchase AI tools because they think they are immature, too expensive and there’s a lack of knowledge about their availability and
capabilities. Governmental health authorities tend to be more concerned about gaps regarding to the interoperability of those tools (15%).
In your opinion, which are the biggest challenges for AI in healthcare?
[multiple responses possible]

    Insufficient       Lack of    Data Privacy     Interope-     Lack of legal     Lack of       Insufficient      High costs      Lack of trust     Implemen-
    maturity of      trust from                  rability with   approval to      sufficient        user                              from            tation of
   the products       medical                     other soft-       use AI       high quality    education/                          patients           new
     available          staff                     /hardware      applications    data to train   knowledge                                            software
      on the                                                                       AI tools
      market                                                                                                                                                          11

                                                                                                                © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
CHALLENGES FOR AI IN HEALTHCARE – BY COUNTRY OR REGION
           Italian eHealth professionals identify legal approval issues (21%) and lack of trust (20%) from medical staff as biggest roadblocks for more
           widespread use of AI solutions. Professionals from the Nordics are waiting for more mature AI solutions (18%). Dutch professionals are
           challenged by data privacy regulations (17%). Germans are concerned about high costs (13%).
           In your opinion, which are the biggest challenges for AI in healthcare?
           [Total including „other“; overall top 2 answers; multiple responses possible]

                                                                                                                                                                              Netherlands
                                                                                                                                                                Switzerland

                                                                                                                                                                                            Countries
                                                                                                                                            Germany

                                                                                                                                                      Austria
                                Insufficient maturity of

                                                                                                                                                                                            Nordic

                                                                                                                                                                                                                Spain

                                                                                                                                                                                                                        Total
                                                                                                                                                                                                        Italy
                                the products available
                                on the market (18%)
                                                                                                      Insufficient maturity of the
Data Privacy (17%)                                                                                                                     13% 14% 11% 8% 18% 9% 11% 13%
                                Data Privacy (16%)                                                    products available on the market
Lack of trust from medical
                                                                                                      Lack of trust from medical staff     10% 16% 11% 15% 10% 20% 16% 13%
staff / Interoperability with
other soft-/hardware (15%)                                                High Costs (14%)            Data Privacy                         10% 15% 13% 17% 16% 7% 12% 12%
                                                                          Insufficient maturity of    Interoperability with other soft-
                                                                          the products available                                           12% 10% 13% 15% 10% 5% 13% 11%
Data Privacy (13%)                                                                                    /hardware
                                                                          on the market (13%)         Lack of legal approval to use AI
Insufficient user                                                                                                                          11% 11% 11% 8% 12% 21% 12% 11%
                                                                                                      applications
education/knowledge /
                                                                                                      Lack of sufficient high quality
Interoperability with other                                                                                                                9%         8% 11% 8% 13% 13% 15% 11%
                                                                                                      data to train AI tools
soft-/hardware (13%)                                                        Lack of trust from
                                                                                                      Insufficient user
                                                                            medical staff (16%)                                            11% 12% 13% 6%                                    8% 11% 8% 11%
                                                                                                      education/knowledge
                                                                            Data Privacy (15%)
                                                                                                      High costs                           13% 5%               7%            7%             5%         8%      6%      8%

                                                                                                      Lack of trust from patients          5%         5%        6%            5%             2%         2%      4%      4%
                                                                          Lack of legal approval to
             Lack of trust from medical staff (16%)                       use AI applications (21%)   Implementation of new software 2%               3%        2%            5%             3%         1%      4%      3%

             Lack of sufficient high quality data to                      Lack of trust from
                                                                                                      N answers                            334 118 174 111 220                                          85      137 1490        12
             train AI tools (15%)                                         medical staff (20%)
                                                                                                                                    © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
BENEFITS FROM USING AI IN HEALTHCARE – OVERALL RESULTS
The advent of new AI solutions, many of them based on artificial neural networks and deep learning, trigger a lot of optimism to improve health
outcomes and enable new ways to deliver healthcare services. Many statements from eHealth professionals circle around the hope that AI will
help to improve care quality, support clinicians to take better and more informed decisions, provide more personalised treatments, enable
healthcare professionals to save time, be more efficient, focus on complex or urgent cases etc. While there is a lot of enthusiasm, some eHealth
professionals also raise their concerns about AI currently being a hype and that real benefits are, at best, to be seen in many years.
In your opinion, which are the biggest benefits from using AI in healthcare?
[free text responses]

                                                                                                                                                         13

                                                                                                   © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
BENEFITS FROM USING AI IN HEALTHCARE – SELECTED QUOTES

                                                                It will enable each citizen drive their health and well-being, to improve the overall
                                                                          quality, access and cost effectiveness of our healthcare services.
AI will allow us to do tasks much more efficiently
 and around the clock - like reading Radiology -                               AI offers the possibility to consider the complete
 done by costly professionals who work on a 9-5                                  knowledge about healthcare and learn from
                       basis.                                                                previous experiences.

                                         AI should help to identify              We will gain new insights and knowledge, deliver more care with
                                             “the abnormal" to                  improved quality, put the patients in the drivers seat, focus human
  I think AI is over hyped in            healthcare professionals,                                 resources on complex tasks.
    Health, it will take long                 and reduce their
 time to achieve cases that                workload by helping                                                               Apart from settings that require
      will give benefit for                   them to discard                    AI will offer support                       creative thinking and rational, AI
            patients.                        everything that is                  for clinical decision                     obviously trumps human memory and
                                                  normal.                             making by                                   diversity of knowledge.
                                                                                    analyzing large
                                                                                      volumes of
                                                                                  information, from                     It will help with the optimization and
       AI will help to overcome boundaries between health                        EMR and any other                   standardization of procedures, support and
      care facilities, early detection or prognosis of diseases,                      sources of                     improvement of diagnostic and therapeutic
             support doctors in diagnosis and therapy.                               information.                                        safety

                                                                                                                                                                               14
    Selected quotes related to the question: “In your opinion, which are the biggest benefits from using AI in healthcare?”
                                                                                                                         © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
BENEFITS FROM USING AI IN HEALTHCARE – BY TYPE OF ORGANISATION
AI is expected to improve the quality of care. Especially professionals working in health facilities (21%) see this as a key benefit. Those
professionals think that, if rightly used, AI will support better medical decisions and improve diagnostics. Software vendor professionals on the
other hand focus more on error reduction, efficiency gains and cost savings when they think about AI benefits. Health authority representatives
perceive AI to be very beneficial by helping to process large amounts of data (to support clinicians to take better medical decisions).
In your opinion, which are the biggest benefits from using AI in healthcare?
[free text responses, categorised by HIMSS]

                                                                                                                                                          15

                                                                                                    © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
BENEFITS FROM USING AI IN HEALTHCARE – BY COUNTRY OR REGION
          In general country differences are rather nuanced. Italian eHealth professionals appear to have the biggest expectations regarding AI helping to
          improve care outcomes and supporting better clinical decision making. In Austria there’s little hope that AI will contribute to decrease healthcare
          costs or leads to time savings. Swiss and Nordic professionals perceive to gain value from AI by processing large amounts of (patient) data.
          In your opinion, which are the biggest benefits for AI in healthcare?
          [Total including „other“; overall top 2 answers; free text responses, categorised by HIMSS]

                                                                                                                                                                               Netherlands
                                                                                                                                                                 Switzerland

                                                                                                                                                                                             Countries
                                                                                                                                             Germany

                                                                                                                                                       Austria

                                                                                                                                                                                              Nordic

                                                                                                                                                                                                                 Spain

                                                                                                                                                                                                                         Total
                                                                                                                                                                                                         Italy
                Improve quality of care (21%)
                Process large amount of data (16%)
                                                                                                        Improve quality of care             22% 23% 18% 19% 21% 21% 13% 19%

                Improve quality of care (19%)                                                           Improve medical decission making    9% 10% 10% 11% 12% 25% 25% 13%

                Save time (13%)                                           Improve quality of            Improve diagnostics                 13% 10% 8%                         7%             8%         8% 10% 10%
                                                                          care (22%)
                                                                                                        Process large amount of data        8%         8% 15% 7% 16% 4% 10% 10%
                                                                          Improve diagnostics
Improve quality of care (18%)                                             (13%)                         Lower costs                         9%         3% 10% 9%                              3%         9%      8%      8%
Process large amount of
data(15%)                                                                                               Save time                           11% 5% 10% 13% 8%                                            4%      6%      8%
                                                                      Improve quality of care (23%)
                                                                                                        Reduce medical errors               4%         8%        7%            7%             2%         8% 10% 7%
                                                                      Improve medical decision
                                                                      making / Improve diagnostics Standardize processes                    4% 10% 7%                          4%             3%         6%      2%      5%
                                                                      / Standardize processes (10%)
                                                                                                        Generate new knowledge              3%         0%        3%            9%             8%         4%      6%      5%

                                                                         Improve medical decision       Improve precision medicine          2%         3%        0%            6%             3%         4%      4%      3%
                 Improve medical decision                                making (25%)
                                                                                                        Relief of personnel                 7%         3%        5%            0%             3%         2%      0%      3%
                 making (25%)                                            Improve quality of care
                                                                         (21%)                                                                                                                                                   16
                 Improve quality of care (13%)                                                          N answers                           116        39        60            54              97        53      52      619
                                                                                                                                  © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
YEAR OF BREAKTHROUGH FOR AI TOOLS IN HEALTHCARE
Get ready for widespread use of AI in 5 years! According to their own estimation, eHealth professionals in Europe will routinely and effectively
use Artificial Intelligence tools by 2023. Respondents from southern Europe and the Netherlands are a bit more enthusiastic and expect a
breakthrough by 2022 while their peers from Austria or Switzerland are more cautious and see it happen 2 years later.

When do you expect a breakthrough for AI tools in the healthcare space, i.e. when will they become
powerful, useful and widespread in your country?

                                                                                                                      Country        n    Average estimated
                                                                                                                                              year of AI
            Average year of                                                                                                                 breakthrough
            AI breakthrough

                                                                                                         Optimistic
                                                                                                          countries
                                                                                                                      Netherlands   41
           2023                                                                                                       Spain
                                                                                                                      Italy
                                                                                                                                    45
                                                                                                                                    35
                                                                                                                                                  2022

                                                                                                                      Germany
                                                                                                                      Nordic        103
                                                                                                                      Countries      82           2023
                                                                                                                      Other         107
                                                                                                                      Countries

                                                                                                         countries
                                                                                                         Cautious
                                                                                                                      Austria       35
                                                                                                                                                  2024
                                                                                                                      Switzerland   55

                                                                                                                      Total         503           2023

                                                                                                                                                              17
Grey line: percent of respondents indicating a specific year of AI breakthrough
Columns: cumulated percentage of respondents (i.e. no respondent indicated a year after 2028)
                                                                                                    © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
MOST ADVANCED COUNTRY WITH REGARDS TO THE USE OF AI – BY
TYPE OF ORGANISATION
The vast majority sees the US as a pioneer in the field of using AI in healthcare (Total: 52%). Estonia was rated as the most advanced European
country (8%), especially from the perspective of health facility employees. Software vendors rather see Denmark and Finland in the lead in
Europe when it comes to the use of AI.

In your opinion, which country has made most progress so far with regards to the use of AI in healthcare?
[Total including „other“]
                             Total                      Health facility               IT Software vendor      Governmental health authority
                            n=308                          n=136                             n=50                       n=36

                                                                                                                                                          18

                                                                                                    © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
BUSINESS EXPECTATIONS
Business prospects for the eHealth sector continue to be positive, albeit at a slightly lower level than at the end of 2017. Dutch eHealth
professionals are particularly optimistic, 77% expect an improvement and    only 2% believe the situation will become
                                                                          -100                                  +100    worse. The dip seen last
year in the UK appears to have been temporarily only, with ratings having picked up this time (not shown in chart, due to low response rate in
current survey wave, please interpret carefully).

From a general perspective: How will the environment for eHealth innovation and investment in your country
develop over the next 12 months?
[Score for “Balance of business expectations” = (percentage “improve” – percentage “worse”)*100]
                                                                                                                                                                                         Results by country (2018 – Q1)
                                       Very positive expectations
                                                                                                                                                                                                   worse    steady improve N
                                                                               89
                                                                                                                                                                                  Germany           10%      40%     50% 121
   Balance of business expectations*

                                                                               74                                 77               73               73                  75
                                                                               65               69
                                                                                                65                69                                70                            Austria           12%      50%     38%   42
                                                                               57                                                  60                                   60
                                                                                                52               54
                                                                                                                 50                48               53
                                                                                                                                                    49                            Switzerland       11%      42%     48%   65
                                                                               42               43                                                                      46
                                                                                                                  38               36
                                                                                                                                   35                                   35        Netherlands        2%      20%     77%   44
                                            28               30
                                                             24                                 27                                                                                Belgium            0%      32%     68%   25
                                                                                                                                                                                  Denmark           13%      38%     50%   32
                                                                                                                                                     -6                           Norway             5%      25%     70%   20
                                         20151– Q2       20152– Q3        20163– Q2         20164– Q3        20165– Q4         20176– Q2        20177 – Q3        20188– Q1       Sweden             0%      27%     73%   22
                                                                                                                                                                                  Finland            0%      20%     80%   15
                                                     Please note: trend lines will only be shown if we have data from >30 participants over more then 3 survey waves              United Kingdom    18%      24%     59%   17
                                                                                                                                                                                  Italy             11%      51%     38%   37
                                                                                                                                                                                  Spain             10%      43%     47%   49
                                                                                                                                                                                  All countries      9%      37%     54% 562
                                       Very negative expectations

                                                          DACH              Nordic Countries               Netherlands               UK            All countries

                                                                                                                                                                                                                                19

                                                                                                                                                                       © HIMSS Analytics | eHealth TRENDBAROMETER May 2018
Thank you for your participation!

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