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Digital Health XML Solutions |


the EPR. Clearly there are many benefits to having electronic patient records, however the challenge of replacing paper should not be underestimated: paper is a cheap, fast, flexible and portable medium that is hard to dislodge. In particular, paper readily supports the key activity of collecting information at the point of care. Electronic forms solutions for replacing paper must therefore minimise the burden on the form filler, and be available on portable devices such as iPhones/iPads and Android phones and tablets, providing a user-friendly and intuitive experience. Furthermore, forms should be


The digital future of healthcare forms


Electronic healthcare forms will save time and make it easier for patients and professionals to share information, says XML Solutions


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ML Solutions is a specialist healthcare IT consultancy. We provide strategic and technical


services that include enterprise and solution architecture, interoperability and healthcare standards, open source and agile development best practice advice. XML Solutions also provide application development services, and have several open source products. Our clients include major central


healthcare bodies such as Ministry of Health Holdings Singapore, NHS England and the NHS Health and Social Care Information Centre. We provide such clients with national healthcare strategies and enterprise architecture consultancy. We also have a proven track record


providing systems and advice at the healthcare coalface for hospitals and healthcare charities in the UK. At this level we provide strategic advice, integration and development services, and our flexible healthcare forms product, Forms4health.


Forms4health Forms4health is an open source application that has been developed in collaboration with Leeds Teaching Hospitals trust in the UK. It is a highly modular electronic forms component that has been integrated with Leeds’ Electronic Patient Record (EPR), providing the core platform for clinical data entry. Electronic forms are increasingly


required to support a more automated healthcare environment. Some approaches to electronic records such as paper scanning are useful for historical records, however they do not support the key goal of digital capture at the point of care. With ever-evolving clinical processes,


and central collection and reporting requirements, healthcare institutions require flexible electronic forms solutions that allow forms to be rapidly designed and deployed with little or no technical intervention. For this reason, Forms4health has been designed to function and feel more like a publishing tool than a cumbersome IT system. At the same time, to support analysis and decision support, any solution must have the power to capture structured and coded clinical data that is retained in


108 Global Opportunity Healthcare 2015 | Issue 01


prepopulated with data from the EPR when that information is known, and should only ask relevant questions appropriate to the context and previous answers provided. Forms4health provides all these powerful features and more. Furthermore forms4health provides a separate patient facing platform. Forms4patients provides the entry of


data online, and by patients at home, which supports features like pre-operative assessment and patient feedback. Responses are either integrated into hospital systems or easily emailed to nominated clinicians or inboxes. Our forms are defined using international open standards and can communicate in HL7 and OpenEHR, allowing form definitions to be shared both between the patient and clinician facing platforms, between different institutions and also different applications. Smart electronic forms for patients: l forms completed by patients l completed a patient’s convenience l works on mobile devices l no patient identifiable information l completed forms are sent as PDFs (for humans) and XML (for systems) Smart electronic forms for health workers: l minimises time completing forms l pre-populated form data l calculated values, eg Body Mass Index (BMI) l conditional behaviour depending on patient data, eg age, gender, clinical information l re-usable form sections which reduce costs, risk, training and increasing harmonisation between different teams structure and coded clinical data l mobile and tablet friendly


Further information www.xml-solutions.com


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