Evaluation & evidence

HN Virtual CARE

Clinical coaching, support and remote patient monitoring to deliver NHS at home solution. A solution for Acute Trusts, CCGs, ICSs and STPs.

Why AI

Creating a symbiosis between technology and clinical staff to deliver the best care for patients.

Ethics & equality

Building effective algorithms that are ethical, fair and support reducing health inequalities.

Evaluation & evidence

Measuring our impact on frontline services and patients’ wellbeing using research driven methodologies.

Data privacy

Safeguarding patient confidentiality and compliance with industry security and data protection standards.

Evaluation & evidence

At the core of our approach is a rigorous and research driven methodology to understand the impact of our service on the local health economy and the patient’s wellbeing, activation and overall health.

Our HN Clinical Coaching CARE has been validated through both intervention studies (Randomised controlled trial in Sweden and UK) and experimental studies – case studies published by EKHUFT and NHSE Personalised care team. Furthermore, our patient-facing intervention builds on the methodology of motivational interviewing, shared decision making and structured care coordination. Most importantly, a national (RCT) with the Nuffield Trust, which commenced in 2015, has recruited 1,800 patients across seven trial sites in the UK. The RCT evidenced the capability of HN’s intervention to reduce care demand and improve patient reported outcomes (PROMS). In the study protocol patients who consent to become part of the service are randomised where out of every three patients, two patients are allocated in the intervention group and one patient to the control group. This research study design was implemented across several trial sites and has shown consistent results for the past five years

Internal feedback loop

A strength in our approach that is applied across all non-RCT sites is the continuous internal feedback loop between the prediction model and our clinical coaches who use a combination of the AI predictions and their clinical judgement and expertise to select and assess patients. Furthermore, local sites produce quarterly evaluations and evidence from the randomised control trial provide a continuous feed of new findings to our frontline staff to better understand which patients most benefit from our intervention. This becomes an explicit control for any confirmation or automation bias that might happen at the manual screening stage.

Forward thinking approach

HN actively engages with the local health economy to adopt new ideas and ways of working. This includes proactive cooperation with trusts’ frontline staff, CCGs and academic researchers to promote external validation and coproduction. In 2019 Health Navigator trialled a new way to evaluate its non-RCT patients, which was an approach suggested by Researchers in Residence at the trust.

Publications and case studies

European Journal of Emergency Medicine article 2016

Edgren et al. (2016). A case management intervention targeted to reduce healthcare consumption for frequent Emergency Department visitors. European Journal of Emergency Medicine, 23(5), pp.344–350.

European Journal of Emergency Medicine article 2012

Reinius et al (2013). A telephone-based case-management intervention reduces healthcare utilisation for frequent emergency department visitors. European journal of emergency medicine: official journal of the European Society for Emergency Medicine, 20(5), pp.327–34.

Swedish Medical Association

Swedish Medical Association 2016 Edgren et al (Läkartidningen. 2016;113:DUEX)

Swedish Medical Association

Swedish Medical Association 2012 Stäck et al (Läkartidningen. 2012; 48

Ongoing scientific studies:

Our presentation at Healthcare Excellence Through Technology (HETT) in 2019, shows the results of the Randomised controlled trial (RCT) on AI-guided Urgent Care prevention,

A thesis detailing how artificial intelligence enabled tele-health coaching changes patients’ self-reported activation and health outcomes produced in 2019 by UCL masters student, who analysed the impact of HN Clinical Coaching CARE on PROMs, Wieske et al. (2019)

Service evaluations, case studies and patient testimonials

In 2019, East Kent Hospitals University Foundation Trust (EKHUFT) analytics team produced Predicting and preventing avoidable urgent and emergency care: Measuring impact across activity, mortality and cost benefits, which demonstrated the success of HN Clinical Coaching CARE in the region. For this, EKHUFT won Association of Healthcare Analysts’ Team of the Year award.

A case study of our York deployment

A case study of our York deployment, written by the NHS England Personalised Care Group.

NHS Confed Case study 2017

Read our NHS Vale of York Clinical Commissioning Group case study from 2017

Putting patients first: Using AI

Putting patients first: Using AI and clinically-led health coaching to manage unplanned demand in the NHS, 2020 – a policy paper explaining the benefits of health coaching.

View our collection of interviews

Please view our collection of interviews with Health Navigator, our NHS partners and patients.

Contact us for more info

Contact the HN team to discuss how we can work together to build sustainable healthcare on 0208 0640622

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