The Digital Health Top 10 November 23

Contents:

?? 1) Ways to empower patients

?? 2) Google’s masterplan for healthcare

?? 3) Implementing Electronic Patient Records

?? 4) Digital transformation is not about tech?

?? 5) Connected health through the lifecycle

?? 6) AI modelling for drug development

?? 7) Continuous learning AI systems in medicine

?? 8) ?The fight against endometriosis

??? 9) User journey maps: guides and templates?

?????? 10) UX design resources for healthcare

?? 1) Ways to empower patients

Traditional health systems are witnessing a shift in consumer behaviour. Patients are no longer passive recipients of care but are becoming informed and engaged consumers. They seek personalised experiences and demand greater involvement in decision-making processes regarding their health.

In this great post, Dr. Tazeen H. Rizvi talks about the key components of health consumerism: transparency, personalisation, empowerment, feedback and accountability, shared decision-making, choice and control, engagement, and access to information.

?? 2) Google’s masterplan for healthcare

7% of Google searches are health-related, which has understandably led Google to aim for healthcare dominance.

It acquired Fitbit for $2.1B, has a dedicated Deepmind AI healthcare unit, and has developed Med-PaLM, a very promising healthcare AI model model.??

With solutions for everyone on Google Health, Google's masterplan for healthcare looks promising. Find out everything you need to know in this article by The Medical Futurist . This is also part of a series on tech giants in healthcare - so you can also find articles here about Amazon, Alphabet, and Verily too.?

?? 3) Implementing Electronic Patient Records

Dr Penny Kechagioglou ’s recent article in Digital Health, A way forward for NHS trusts struggling to implement electronic patient records, talks about the need for a whole system approach for faster and more effective adoption of EHRs, in order to overcome implementation challenges and reap the benefits of these systems.

?? 4) Digital transformation is not about tech?

70% of digital transformation projects fail. Bringing digital into existing organisations or systems clashes with current practices and threatens continuity.

However, Johannes Boshkow and the Harvard Business Review have tips on how to succeed in digital transformation is not about technology. This is what we champion at nuom too: to ask customers and users first, to look to solve a problem rather than look to introduce technology, to leverage insiders, onboard your employees, and empower teams.?

Johannes Boshkow also shared an excellent post and article about incentivising value in healthcare, about moving from fee-for-service delivery to value-based care. To focus more on outcomes and less on procedures, as a more holistic service design approach.

?? 5) Connected health through the lifecycle?

Pathways, technology and the patient—connected health through the lifecycle is a paper shared with summary by Jan Beger . The focus is on implementation of health information technology in patient-centred care.

It emphasises the significance of standards and regulations in ensuring the safety, effectiveness, and security of health IT systems throughout their lifecycle.?

The paper also discusses the transformation in healthcare pathways due to the integration of technology, emphasising the role of technology in chronic disease management and the broader implications of a connected health ecosystem in the healthcare system.

?? 6) AI modelling for drug development

A great post by Najat Khan PhD speaks about the release of next-gen models developed to predict the 3D structure of proteins and ligands (including the latest AlphaFold version from Google DeepMind).

Many diseases are caused by “misfolded” proteins – which behave in ways they shouldn’t, potentially leading to disease. To determine how to treat a certain disease there needs to be an understanding of which proteins are dysregulated and what the misfolds look like – so that molecules can be invented that can bind to those proteins in a way that disrupts the dysregulation.

Therefore new AI and machine learning models that rapidly predict interactions means that drug discovery efforts can be targeted, to more rapidly find and advance the most promising molecules, which is leading to faster and more effective drug development.?

?? 7) Continuous learning AI systems in medicine

Market access of continuous learning AI systems in medicine, shared by Jan Beger , discusses the challenges and recommendations for market access of continuous learning artificial intelligence systems in medicine, particularly in the European market.

It emphasises the innovation-inhibiting approach currently hindering the integration of continuous learning AI systems as medical devices in Europe.

It provides insightful recommendations for enhancing the regulatory framework to accommodate the dynamic nature of continuous learning AI systems in medicine, promoting innovation and adaptability in the development and application of medical AI systems.

?? 8) ?The fight against endometriosis

In an interview in femtechworld, The researcher leading the fight against endometriosis, Dora Koller (postdoctoral fellow at the Universitat de Barcelona and Yale University School of Medicine) talks about how she went undiagnosed for 15 years. The lack of research and her own personal experience of endometriosis has prompted her to study the condition herself.

??? 9) User journey maps: guides and templates

In this great set of resources on User Journey Maps: Guides and Templates, Vitaly Friedman shares step-by-step guides and Figma/Miro templates to get started with UX mapping.

Here are the introductory points: User journey maps visualise and document user’s experience. They list phases/actions users go through to meet their goals. They help identify touch points, pain points and unmet user needs. They also allow us to frame users’ motivations and needs in each step. They can also include emotions, jobs-to-be-done, metrics, channels etc.

A user journey is a customer journey map, but serves a different persona from a customer, as for example in B2B (or healthcare), customers might not be users. Journey maps focus on the customer’s front stage experience (end-to-end). While service blueprints focus on surface-to-core of business (backstage), including internal processes, ownership, flows etc.

?????? 10) UX design resources for healthcare

Here’s a great list of resources, firstly from Vitaly Friedman , with his Healthcare UX Design Playbook that lists practical guides, design systems, case studies and articles on medical applications and healthcare systems.

While Alex Bilstein has just shared his Design with Care November 2023 round-up, a monthly list of great resources for UX designers working in healthcare, which talks about human-centred design in healthcare, which is what we stand for at nuom.??