In 2020 Emma worked to ensure the Covid-19 vaccination booking service was inclusive for people of any sex or gender. Since then she’s been an active trans ally through her work and her activism online. This is version 2.0 of a talk Emma has given many times that brings together her experience in the NHS, with her more recent experience working with charities, to ensure our country is providing equitable healthcare that is safe for all.
Cambridge Cognition is a leader in digital neuroscience, with over 15 years of experience. Our technology has been used in over 2500 clinical studies and cited in more than 100,000 papers worldwide. Our cognitive assessments span multiple areas of cognition, including working memory, social cognition and attention, and are used in both clinical and academic studies. Case study of a modern approach to improving UX in healthcare
The “Digital Twin” model is a rapidly growing area of enterprise investment, with Gartner predicting a two-digit growth rate until 2031. It also brings numerous opportunities to improve the digital experience for patients and physicians alike. My presentation will provide actionable insights into the influence of the “Digital Twin” model on healthcare app testing and development, why it matters, and best practices to make implementation as seamless as possible. It will also cover a real-world case study about how a U.S. health system maximizes its value to redefine the patient experience in the digital era.
In this talk, I’ll demonstrate how Nuom was chosen to work with NHS England (and partners) in taking a patient-centred design approach to solving a population-level healthcare problem, where we uncovered critical insights that would help to create a much more effective service design.
Techniques highlighted during the talk will include:
Research Methodology – inclusive design approach, with focus on both users and healthcare professionals (as proxy to enhanced insight)
Service Blueprinting – to ensure a whole service journey is considered
Challenging Assumption – using evidenced-based influence to build the right thing
Rapid Prototyping – iterative, mobile-first, muti-lingual design, all in accordance with strict NHS style guide
Quality Design Standards – preparing work for a GDS service assessment.
Whilst the digital revolution is transforming the healthcare industry, trust in digital health solutions remains a significant barrier to their adoption and goes way beyond security and privacy concerns. During this presentation, I will explore the nuances of building trust in digital health solutions and why it is becoming increasingly crucial that it is prioritised in the design and development process. I will share key insights on what factors can erode trust in digital health solutions gained from my research with patients and healthcare professionals. I will conclude the presentation by sharing some practical tips on how to build trust with your end users, paving the way for increased adoption and ultimately, improved health outcomes. This presentation will provide valuable insights for anyone invested in creating exceptional healthcare products that users trust and adopt.
In this talk, we will explore using modern Lean UX techniques to create better, safer and more user-friendly tools for clinicians. While working on a project to build a workflow tool for managing patient requests at scale in primary and secondary care institutions, we saw first-hand how little UX is prioritised and leveraged in a clinical environment and how much opportunity exists to bring value to healthcare with great design. We will delve into the design and development process of the product, highlighting key user research principles that led us to the insights that informed our design decisions.
Medicine and machine learning is a constant and prevailing topic. AI/ML can be utilized in numerous ways to improve hospital efficiency and patient outcomes. However, it’s critically important to build safe and effective software products and UX can play a large role in its evolution and evaluation. Short vignettes from a UX team that helped AI teams at Mayo Clinic relate to end users deeper and with more contextualized insight, would be presented in this session. Key learnings from these brief case studies would encourage new considerations especially at the early stages of model development.