Risk Prediction

As the focus on improving health outcomes within tight financial constraints sharpens, the need to measure and forecast future health needs within communities has never been stronger. The NHS needs information systems that can provide carers with timely and accurate information on the patients they are managing, so that they can both improve outcomes and reduce expenditure.

Challenges currently faced may include:
  • Ability to quickly identify patients with long-term conditions that are at high risk for an acute event
  • Proactive care management for high-risk patients
  • No single source of the truth for information across all patient care
  • Lack of timely access to patient care information

Benefits:

For the patient
  • Assists with consistency and quality of care
  • Limits hospital re-admissions
For the clinician
  • Identifies patients who are appropriate for case management, disease management or self-care programmes
  • Provides a detailed summary of patient information, saving clinicians time from retrieving information from multiple sources
  • Identifies patients previously unknown
GPs or other health care providers
  • Provides organised data on patients to assist GPs in practice-based commissioning efforts
For the NHS
  • Supports the principles of a patient-led NHS
  • Assists in addressing inequalities in health care delivery
  • Provides data to help support system-wide commissioning
  • Proactive versus a reactive approach, supporting early identification of patients by targeting scarce health care resources to those patients most in need
  • Provides a systematic look at the change in health care utilisation patterns for specific patients, helping to monitor and evaluate the success of various initiatives