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Developed by the NHS for the NHS

SCR is a software application developed by the NHS, designed to collect relevant data throughout the patient's cancer journey. The data collection, in addition to supporting patient care, supports the National Clinical Audits, Surgeon Level Reporting, Cancer Outcome and Services Dataset, and the Cancer Waiting Times.

A team of 24 staff (Analysts, Testers, Developers, Trainers & Customer Support) who have developed SCR with clinicians, are based in Taunton, Somerset. The application is used by more than 95 organisations across England and continues to grow.

Development of the product is driven by NHS staff at all levels across the country and supported, through governance groups, by the National Cancer Registration & Analysis Service.

SCR has become so much more than just a data management tool and is on a journey to create its vision of an electronic Cancer Patient Record.

What does SCR cover?

SCR meets National Dataset Requirements:

  • Cancer Wait Times XML
  • Cancer Outcome and Services Dataset XML

Clinical Audits including:

  • NLCA (Lung)
  • HANA (Head & Neck)
  • NOGCA (Oesophago-Gastric)
  • NBCA (Bowel)
  • BAUS (Urology)
  • NPCA (Prostate)
  • SACT (Systemic Anti-Cancer Therapy Dataset)

Palliative Care Returns

In addition to supporting the datasets, the system is also used to provide data for Peer Review purposes.

Functional features include:

  • Acute Oncology
  • Root Cause Analysis
  • Patient Timeline
  • Organisation and data capture for MDT meetings
  • Holistic Needs Assessments
  • Linked Recurrences
  • GP Treatment Summaries
  • Tertiary Referrals
  • Ability to easily extract data through Data Views (Excel)
  • Capture data real time using mobile technology

Interfaces:

  • ADT HL7 - demographic, referral, appointment and deceasing data
  • Electronic tertiary referrals

All of the above is included in the contract price.

Our Vision

The vision for Somerset Cancer Register is to create an electronic cancer patient record, in a user friendly manner, which avoids duplication of information. The SCR aims to achieve this by 2018.