Preparing for tomorrow’s healthcare
The healthcare landscape is developing rapidly. It has been two years since we published “Personalized Health: Tomorrow’s healthcare”, in which we claimed that patients are increasingly anxious to manage their own health, supported by technological developments. Are those predictions coming true? You will find the answer in our new Personalized Health publication.
Personalized Health and the self-learning data cycle
Data is the new gold. This applies to many industries, including healthcare. Citizens generate large quantities of data through self-assessments (apps and wearables). Healthcare institutions produce enormous amounts of data as well. In our publication “Personalized Health: Tomorrow’s healthcare” (2015) we described four game changers that we thought would change the healthcare landscape dramatically within ten years’ time. Meanwhile, our insights have deepened. The game changers are still essential, but we have come to consider them as part of a “self-learning data cycle” that consists of collecting, transferring, analysing and enriching medical and personal data.
One of the claims we made in 2015 was that citizens increasingly prefer access to, and management of, their own medical records. Along with the increasing use of wearables this would lead to more healthcare at a distance, a shift from “sickcare” to “healthcare”, and changing dynamics between doctor and patient. What shifts are visible already, does the sector recognise these, and how do the various parties respond? In order to find the answers, we set up a survey in 2017 among more than 100 respondents from hospitals, healthcare institutions, mental healthcare, medical technology companies, sector association and public authorities, health insurance companies, general practitioners and general practice centers. Also, we had in-depth interviews with representatives from various parties within healthcare.
Data collection and data management
Soon, patients will be allowed to withdraw their own healthcare information digitally from healthcare professionals. This is the first stage of the self-learning data cycle: data is being generated through e.g. the EPR, various wearables, sensors and apps, and – eventually – from their own DNA. All this information contributes to the ongoing development to “being healthy and staying healthy”. But how rapidly does this first part of the self-learning data cycle actually take place? Are there any challenges? And what has the healthcare sector been saying about this so far?
The second stage of the cycle is data transfer, for which digital platforms appear to be an appropriate solution. These platforms have disrupted many industries in the last few years. Health platforms are on the rise as well. So what has happened since 2015? Does the sector agree with us? Has the trend developed? What (technological and ethical) barriers are there? When will we finally have created a “digital highway”?
Analysing and enriching data
Artificial Intelligence (AI) could play an important role in analysing and enriching data. Is this already happening? What about algorithms and cognitive computers – can they support diagnostics yet? And what does the sector think of free access to healthcare data by the core function of Research in Healthcare?
Service concepts, funding formulas and financing
The self-learning data cycle clearly has consequences for service concepts, funding formulas and financing within healthcare. What (financial) opportunities and challenges do prevention and care at a distance offer? What funding formulas and financial instruments drive innovation? And is Value Based Healthcare finally coming within reach?
One thing is certain: the healthcare landscape is about to change dramatically. One of the interviewees actually says: ‘We are all patients, including the doctor and the board members of the hospital. That is why this is going to happen.’ What does this imply for the current parties? And what new players should we expect? Please download the report “Personalized Health – Preparing for tomorrow’s healthcare” in which we discuss these topics more in-depth. We hope the insights and use cases we have included in this publication will be of help.
This Personalized Health publication is part of GovLab. Big innovations are about to change society dramatically. Government and public sector will also have to reinvent themselves. GovLab brings together citizens, public and private parties and offers solutions for important issues in the field of healthcare, labour and income, education, and economy, based on technological and social innovation. Read more about GovLab here (in Dutch).
Wilt u meer weten over de publicatie ‘Personalized Health – De zorg van morgen komt dichterbij’ en/of in gesprek over de toekomst van de zorg? Neem dan contact op met Hubert Friederich via +316 5359 8337 of email@example.com.