Proactive personalised healthcare through precision insights
1. Precision data – the key to unlocking optimal outcomes
Big data exploration is a complex and expensive method of trying to discover things we didn’t know before, which may (or may not) help us to do things better now and in the future.
Intacare’s approach is different. By working with world-leading clinicians and academics across the world we continue to identify the clinical and patient-reported data that is necessary for defining, assessing and improving clinical outcomes in cancer care.
2. Let technology do the heavy lifting
Intacare’s sophisticated agnostic Software-as-a-Service solution (Precision Insight Engine – PIE) interacts with your data system(s), identifying and assessing only the pre-defined data that has been shown to be diagnostic and predictive.
3. Let Artificial Intelligence do the hard thinking
Intacare PIE applies sophisticated Artificial Intelligence (AI) to produce real-time outcomes insights, alerts or reports – including the presentation of individual or cohort current and historical health state, the prediction of future health state.
4. More informed decision making
Intacare PIE can be used to at-the-point-of-care to support clinical decisions and optimise outcomes across a patient’s cancer journey, or retrospectively to assess the root-cause of sub-optimal outcomes.
All insights are backed by academic evidence which is directly accessible to the end-user. This provides vital validation and ensures end-users have confidence in the validity and relevance of all insights presented.
5. How our Precision Insights Engine works
PIE analyses a variety of clinical datasets e.g. electronic medical records, research data and Patient Reported Outcomes (PROs) and identifies the key data, based on our academic research, that enable the production of evidence-based insights relating to historical, current and future health state of the individual or cohort.
6. Taking Patient Reported Outcomes Measures (PROMs) to a new dimension
Intacare turns traditional static PROMs into a dynamic outcomes assessment. By correlating the patient’s self-reported outcomes with precision clinical data PIE can give context to current health state, help identify route cause(s). These insights enable our end users to be more proactive in their management of patient needs, helping them to improve patient satisfaction, clinical outcomes and the assessment and optimisation of the benefits of healthcare innovation in the short and long term.