OSOZ World

Page 115

W H AT ’ S YO U R O P I N I O N ?

Where are the long-awaited benefits of digitization? Several dozen years ago, when health care computerization was beginning, hopes related to digitisation were high. Computers were to automate many activities. And so they do, but a fairly common effect has consumed the added value of IT. Today, a statistical physician is more and more burdened with reporting obligations. During a patient’s visit, they spend a lot of time in front of the computer filling in electronic medical records and entering data. After observing the work of 36 doctors in one Swiss hospital, researchers drew alarming conclusions, then published in the Annals of Internal Medicine. The doctors spent 5.2 hours per shift at the computer, 1.7 hours with the patient and 13 minutes on both activities simultaneously. Interestingly, research conducted half a century ago suggests that doctors devoted a similar amount of time to patients as today.

Where are the profits of the huge technological progress in health care? Today, digitisation primarily benefits the payer, who receives consistent and full reporting data, and the health care system, meaning its organisational structure. What about doctors? Why has computerization failed to reduce the time required for paperwork? A computer should make things faster, thanks to templates and dictionaries, and more convenient - since the data entered were supposed to be automatically used in various reports. Hardly anyone believes that this is what happened. Unfortunately, the advantages of technology have been uti-

lized differently than expected by medical staff. Health care has become the victim of the rebound effect known in nature, described for the first time by the British economist William Stanley Jevons. A classic example of this phenomenon is electricity. Why does energy consumption in some cases not decrease despite the introduction of energy-saving light bulbs? The reason is not that new bulbs are not better than the old ones. It is because users simply leave them on for longer, knowing that... they are energyefficient. Nowadays, a similar problem is affecting health care. In the 1990s, when a significant number of reports were made on paper, a limited number of documents was required. The payer could not demand more, as it would exceed the capabilities of doctors and health centres. Today, the National Health Fund and organisations in the healthcare market may impose further requirements, knowing that service providers have the tools (computers) to develop even the most sophisticated reports. In this way, the time that was to be saved by the doctor has been absorbed by the rebound effect. Patients may also face the same problem in the future. Technologies are improving at a great pace. Algorithms will perform preliminary data analysis, artificial intelligence will help the doctor make therapeutic decisions, voice assistants will convert natural speech into structured medical records without having to tediously type data with the keyboard, many classic measurements of patient’s health parameters will be entered into the e-file from devices existing in the patient’s home. Theoretically, the doctor will be able to finally take care of the patient and devote more time to them. Will the proportions reverse and will the doctor be able to talk to patients and focus on their worries in the new reality? Will health care be therefore more human than today? Not necessarily. However, this “gift of time” obtained through technology can be wasted, as was also described by Eric Topol in his latest book. An efficient doctor with time reserves will have to see more and more patients and in this way everything will remain the same. Technology alone is not enough to make medicine patient-friendly, which we have already learned in recent years. This should be borne in mind by those responsible for health policy. 

OSOZ World 2020

115


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Articles inside

Unlocking the potential of digitalization by purposeful redesign of clinical processes

4min
pages 121-122

Robots in healthcare: machines, creepy dolls, therapists or social companions

10min
pages 123-127

Culture, UX/UI, education, accessibility. Digitalization’s biggest barriers

6min
pages 119-120

Digital health 2020

8min
pages 116-118

Where are the long-awaited benefits of digitization

3min
page 115

Stay at home. Technology will take care of everything else

5min
pages 113-114

Rethinking Workforce Skills To Become Ready For Future

3min
pages 111-112

Cyber-medicine & humans. 7 new concerns about digital healthcare

11min
pages 100-103

It is not enoughto just have a good idea or a nice implementation in one place

2min
page 110

How to ensure human touch in digital healthcare driven by AI solutions

4min
pages 98-99

The risks of basing digital health strategy on industry hype and alluring prototypes

23min
pages 104-109

What the radiologist need to know about artificial intelligence

2min
pages 96-97

Strengthening digital health literacy in society

3min
pages 94-95

Telemedicine benefits during covid-19 pandemic. But is it here to stay

4min
pages 92-93

The future of healthcare. Will medicine become data science

5min
pages 90-91

Digital health needs to be embedded in the conception of the health system

6min
pages 83-84

How to build a smart hospital

7min
pages 81-82

Data For All. Not For Sale

10min
pages 78-80

Health totalitarianism

11min
pages 87-89

Becoming a self-doctor in the era of wearables

5min
pages 85-86

Components of digitalization: evidence, knowledge and technology

4min
pages 74-75

AI will help surgeons to orchestrate the work and data

3min
pages 76-77

For patients, wearables are fantastic tools to manage health and well-being

6min
pages 71-73

Digital health literacy is an essential capacity to master in everyday life

4min
pages 69-70

Digital disruption is not something post-apocalyptic

5min
pages 67-68

Objectivity with no empathy: how symptom checkers can help patients

7min
pages 65-66

Artificial Intelligence to put the care back in healthcare

11min
pages 62-64

Taming the change

7min
pages 60-61

Plastic touch

9min
pages 57-59

Our future with algorithms

4min
pages 55-56

Explore Digital Health in Asia

12min
pages 52-54

Becoming Hyperaware

6min
pages 50-51

Don’t fake it till you make it

11min
pages 47-49

The Rise of the Data-Driven Physician

4min
pages 45-46

Demystifying Algorithms

11min
pages 42-44

Facebook has launched new healthcare features

4min
pages 34-35

8 necessary steps towards digital transformation

4min
pages 40-41

Help me, robot

13min
pages 36-39

This Robot Knows How To Communicate To Support Patients With Chronic Illness

3min
page 33

Using AI To Predict Breast Cancer And Personalize Care

4min
pages 31-32

GDPR during the crisis

5min
pages 26-27

How to prepare medical workforce for digital health

7min
pages 28-30

Storing medical informationbelow the skin’s surface

5min
pages 24-25

3 learnings From Stanford

3min
pages 22-23

Precision medicine. When machines become smarter than doctors

4min
pages 18-19

Technologies that help fight the coronavirus

5min
pages 16-17

Stop disrupting healthcare

4min
pages 8-9

New study confirmsvirtual reality can becomea new painkiller

4min
pages 20-21

Technologies built in good faith

6min
pages 6-7

How does Finland use health and social data for the public benefit

5min
pages 13-15

How to verify health apps so doctors could prescribe them

8min
pages 10-12
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