Flexible data models to promote Patient Reported Outcome Measures & create data driven insights
The ability to structure data from the initial patient referral (eg. demographics, diagnosis, procedure) enables organisations to receive data driven insights outlining their performance and identify opportunities for improvement. The graphical representation that a digital platform is able to automatically generate on a performance dashboard provides essential operational insights to senior clinicians and management teams. It should be fully customisable and be provided in real time to the clinical team; empowering departments to be more proactive and responsive in their service delivery. Such data insights can also support workforce planning after reviewing case-mix data, as well as adjusting the allocation of departmental resources, for example clinic staffing or theatre times, according to seasonal or other variations. Flexible data processing engines allow data to be processed and presented according to specific client requirements efficiently with minimal resources. Improvements in data processing and analysis can also support and encourage clinical governance activities within departments, which may contribute to improved CQC compliance.
As healthcare increasingly moves towards a focus on patient-reported outcomes, for example measuring an organisation’s performance against Patient Reported Outcome Measures (PROMs) or scores, the ability to rapidly capture and report diagnosis or procedure-based patient outcome scores will further enhance an organisation’s ability to meet reporting requirements and targets. The use of structured and coded diagnostic and procedural data allow for the correct questionnaire to be automatically deployed for the patient to complete, either in a clinic setting (for example, using a mobile device or tablet) or remotely at home using a unique one-time questionnaire hyperlink received via email or SMS. Responses can then be immediately and securely uploaded and stored alongside their medical record, enabling departments to monitor in real-time their patient-reported outcome performance, identifying and promptly addressing any procedures where there are sub-optimal outcomes. Furthermore, automated onward submission of PROMs to the relevant National registry or database as mandated, for example to NHS England in the case of arthroplasty PROMs in Trauma & Orthopaedic Surgery, can significantly reduce the labour and overhead costs of manual submissions, or the cost of outsourcing the process to an additional third party supplier.