PROSAIC-DS Study (PROState AI in Cancer - Decision Support)

Summary

Around 375,000 cancers are diagnosed in the UK annually, with this figure expected to reach 500,000 by 2035. As the number of different cancer treatment options and our scientific understanding continue to grow rapidly, it can be difficult for clinicians to keep up-to-date with best practice, causing unjustified variations in the quality of care and clinical outcomes for patients.

Currently, when a patient has been referred to and seen by a clinician, their treatment is then discussed in a Multi-Disciplinary Team Meeting (MDTM). MDTM is a meeting of medical experts, including Surgeons, Oncologists, Nurses, and specialists in cancer, imaging and diagnosis. This is the case even if a treatment decision is straightforward.

A nationwide review published by CRUK in 2017 highlighted the demands on cancer teams and the MDTM process:

* Increased caseloads are causing dramatic increases in the time spent by clinicians in MDTMs, leading to an unsustainable rise in costs: the cost in England has increased from £88m to £159m in 4 years;
* There is not enough time in the MDTM to discuss complex cases;
* There is a failure to involve patients in the decision-making process: around 75% of patients feel their views are unrepresented in MDTMs; In our study we are looking at the potential of technology - particularly Clinical Decision Support Systems (CDSS) - to improve MDTM decision making.

Deontics has a CE marked AI-based CDSS that integrates individual patient data and preferences with evidence-based clinical guidelines. This dynamically and transparently generates best-practice, individualised treatment recommendations which can help determine treatment. Deontics' AI tool has already been shown to provide personalised recommendations concordant with UK best practice while incorporating patient values, and can be used to safely triage less complex patients straight to treatment with minimal clinical oversight. Our project partners with Deontics to develop PROSAIC-DS - A CDSS for prostate cancer.

Conditions

• Prostate Cancer

Interventions

OTHER

Clinical decision support tool recommended outcome

The PROSAIC-DS tool will take the variables and produce a suggested outcome. It will supply supporting evidence and best practice for its recommendations

Sponsors & Collaborators

• King's College Hospital NHS Trust

  collaborator OTHER

• King's College London

  collaborator OTHER

• Deontics Limited

  collaborator UNKNOWN

• Somerset NHS Foundation Trust

  collaborator OTHER

• Prostate Cancer UK

  collaborator OTHER

• Guy's and St Thomas' NHS Foundation Trust

  lead OTHER

Principal Investigators

• Danny Ruta, MBBS MSc · Guys and St Thomas NHS Foundation Trust

Study Design

Allocation

RANDOMIZED

Purpose

OTHER

Masking

DOUBLE

Model

PARALLEL

Eligibility

Min Age

35 Years

Sex

MALE

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2022-06-30

Primary Completion

2022-12-31

Completion

2022-12-31

Countries

• United Kingdom

Study Locations