HTN Awards 2023: Best Solution for Clinicians

Here we take a look at all of the entries for the Health Tech Awards 2023 category of ‘Best Solution for Clinicians’.


Overview: Priory introduced the Mulesoft AnyPoint platform to connect and automate clinical data across multiple systems securely.

Why? The solution works to lessen the administrative burden on clinicians at 60+ sites and given them time back to care.

What happened? Mulesoft Anypoint allows information to be populated across multiple different systems simultaneously based on one entry. It enables Priory to leverage FHIR-compatible APIs with out of the box assets, converters and libraries to facilitate interoperability between legacy healthcare systems. When a clinician uses the e-prescribing system, the medication they have prescribed updates automatically in the patient’s record. Within the first month of using this integration at just four sites, it saved approximately 93 hours of time by avoiding duplication. In addition, it saved 209 hours within the month by creating admissions and discharges automatically from a single patient records system. Mulesoft Anypoint also allows clinicians to extract and report data in different formats, which supports clinical decision-making and greater visibility of individual patients’ care. It has the potential to securely interface with external systems used by health and social care partners. Since adopting Mulesoft, it has automatically created 43,500 incidents from our incident system to our patient record – saving clinicians around 3,600 hours of time, as well as integrating rostering, procurement, patient administration, risk management and e-prescribing systems. Mulesoft has helped us to create capacity by saving approximate 10,477 hours or put another way, 261 full working weeks in the 18 months we have been on this journey.

Looking ahead. The solution will continue to be developed, with many more applications to be introduced later this year, including integrations from a new rostering system into legacy applications.


Overview: Harrogate and District NHS Foundation Trust streamlines clinician access to patient information with Imprivata Virtual Smartcard.

Why? To save clinician time, streamline clinical workflows, increase productivity, lower overheads for IT, protect patient privacy and improve data governance and security.

What happened? Harrogate and District NHS Foundation Trust has implemented Imprivata OneSign®, Virtual Smartcard technology and Imprivata Mobile Device Access. Imprivata OneSign Single Sign On and Imprivata Spine Combined Workflow Plus have been deployed in conjunction with Ascom handheld devices across the Trust. The joint solution provides fast, tap and go workflow process for clinicians for all devices. Imprivata Virtual Smartcard provides fast, secure No Click Access® to NHS Spine-enabled applications without the need for physical cards. With no printing required, Imprivata Virtual Smartcards can be created and deployed to users at scale, facilitating efficient, secure compliant access without the need for expensive hardware. Imprivata OneSign Spine Combined Workflow Plus supports role-based identities enabling users to swiftly switch roles for varying clinical functions and, to support data governance requirements, providing a full audit trail of all interactions with Spine applications. Typically, increased clinician productivity with No Click Access® saves up to 25 seconds per login which helps to improve focus on patient care. The automated login and two factor authentication used with Imprivata OneSign means that after initial registration, users need only tap their ID badge (proximity card), to gain access to systems.

Looking ahead. The team at Imprivata hope to continue working with Harrogate and District NHS FT to further improve the solution and maximise benefits for clinicians.

Polygeist and Gloucestershire Hospitals NHS FT

Overview: Real Time Patient Risk and Long Stay Prediction: AI in the hospital at Gloucester Hospitals NHS Foundation Trust.

Why? Reducing long stays in hospital has rightly been a national priority for NHS England over the past few years, and forms a key plank in the NHS Recovery Plan.

What happened? This second phase project demonstrates real time prediction of patients’ length of stay in hospital, personalised risk factor combinations, and likelihood of mortality, using an AI algorithm. Clinicians receive up to date, real time estimated date of discharge, accurate to within 12 hours, in EPR. This means that every single observation captured by nursing staff and prescribing clinicians, along with all diagnostic test results, are all then processed in real time, surfacing key insight to the right person, at the right time. This technology has been privately trialled on recent historical data, and can predict over 99 percent of long stayer patients. Average error was within just 12 hours of the actual patient discharge time, over a 30 day period. Using population data, key risk factors contributing to that patient’s stay (both medical and logistical) can be flagged to clinicians; this enables them to plan for potential blockers to discharge and onward care. Analytical assessment, matched with recently published, peer reviewed evidence, suggests that clinicians could safely reduce the average stay between one and five days per long staying patient. Over 7000 lives per year, nationally, can be saved simply by identifying those high risk patients and discharging five days earlier; based on statistical analysis of the GHNHSFT data, and national mortality statistics. Moreover, early discharge reduces the readmission rates by 50 percent, projecting 3.15 million bed days per year freed nationally.

Looking ahead. The team hope to help this technology reach more patients in other Trusts, promoting safer and more effective care for patients and helping reduce long stays in hospital.