E-Health and E-Health Analytics
Our experience with E-Health claims is that it is vital to identify the field in which the technological advance is being made.
Our Case Study ‘HMRC Inquiry Software and Medical R&D claim’ describes how we ‘inherited’ a client who was in an HMRC Inquiry and facing the prospect of the claim being rejected and after our involvement we were actually able to increase the claim value from £550,000 to £680,000 and have the claim approved by HMRC within a few weeks.
Often (as in our HMRC Inquiry claim case study) a company (or sadly in many cases an inexperienced advisor) will incorrectly identify the field of advancement and consequently either jeopardise the claim entirely or at least significantly reduce the potential value of the claim.
What you need to know:
Areas of R&D that we have analysed include:
- Suite Solutions (Care planning, Care coordination, population health management)
- Operational Analytics (Business Intelligence, Asset Management, Performance Metrics)
- Clinical Analytics (Clinical diagnosis support, charting, point of care recommendations)
- Diagnosis (medical imaging and diagnostic support tools)
- Risk Profiling
- Health Engagement (Remote Monitoring, Digital Therapeutics, Treatment Adherence Tools)
- EHR Platforms
- Hospital Information Systems
- Patient Engagement Solutions (treatment adherence tools, communication tools, patient education tools)
- Collaboration Platforms (HIE, API integration, Clinical Interoperability solutions)
- Telemedicine (devices, software)
- Personalised Healthcare / Personalised Health Records
- Clinical Trial Enrollment
Case Study: John Hopkins University
There is no substitute for deep sector analysis – in our successful HMRC case study it was necessary to read a 143 page PhD thesis from a clinician at John Hopkins University to find the one sentence where he described the technical challenges in a project very similar to the one that HMRC were disputing as being qualifying R&D.
By identifying that key sentence from a highly respected academic in a thesis published at the same time as our client’s research project was taking place, we were able to demonstrate to HMRC that the technical challenges our client faced were far greater than ‘routine commercial software development’ and thus ensure the Inquiry had a successful outcome.
In the course of our work we have prepared claims for just about every conceivable manufacturing sector including:
- Software (Developing a new software language to model different clinical conditions and procedures)
- Information Technology (Developing a means of integrating disparate E-Health medical records)
- Big Data / Data Science (Analysis of large data sets for clinical information purposes)
- Communications (Securely transmitting patient records for telemedicine applications_
- Artificial Intelligence (Developing Machine Learning / Expert System solutions to augment/replace clinician decision making)
- Clinical Informatics (A field we utilise wherever possible so as to be able to claim not only for software development but also healthcare professionals providing application specific testing and analysis)