Yn y GIG, rhaid i ddiagnosteg gael ei gosod mewn lle cadarn yn rheng flaen gofal cleifion. Os cawn wybod yn gynt beth yw’r diagnosis, gallwn fod yn fwy effeithiol wrth wneud ein penderfyniadau a darparu gofal a chymorth. Diagnosis cywir a phriodol yw’r bont ar gyfer gwneud penderfyniadau rhwng y clinigydd a’r claf a fydd yn arwain at ganlyniadau a phrofiadau gwell i gleifion. Rhaid i ni ymdrechu i wella’r broses o ragfynegi ac atal clefydau. Mae eisoes ystod eang o dechnolegau uwch sy’n gallu rhoi canlyniadau labordy a chanlyniadau delweddu o ansawdd uwch na’r rhai a oedd ar gael cyn hynny ddim ond ychydig o flynyddoedd yn ôl. Dros y 500 mlynedd diwethaf, mae gwaith archwilio darnau o feinweoedd a samplau gwaed wedi ei wneud drwy ddefnyddio microsgop a sleidiau gwydr. Er 2019, mae microsgopeg ddigidol wedi bod gennym ar gyfer samplau o feinweoedd patholeg ym mhob Bwrdd Iechyd Prifysgol. Gan adeiladu ar waith llwyddiannus Bwrdd Iechyd Prifysgol Betsi Cadwaladr, bydd digidoleiddio gweithlifau patholeg yn gam cyntaf hollbwysig i harneisio’r potensial ar gyfer dulliau cyfrifiadurol o ddadansoddi delweddau patholeg. Hoffwn fod yn glir fan hyn ein bod yn trawsnewid arferion clinigol cyffredin sydd wedi bod yn eu lle ers cannoedd o flynyddoedd.
In the NHS, diagnostics must be firmly positioned at the forefront of patient care. If we can know earlier what the diagnosis is, we can be more effective with our decisions and provision of care and support. Accurate and appropriate diagnosis provides the bridge for decision making between the clinician and the patient that will lead to better patient outcomes and experiences.  We must strive to improve the prediction and prevention of disease. There are already a wide range of advanced technologies that can yield higher quality laboratory and imaging results than were previously available only a few years ago. For hundreds of years the examination of tissue sections and blood samples has been carried out using a microscope and glass slides. Since 2019, we have had digital microscopy for pathology tissue samples in all University Health Boards (UHBs). Building on the successful work in Betsi Cadwaladr UHB, the digitalisation of pathology workflows will be a vital first step to harness the potential for computational approaches for pathology image analysis. Here, I want to be clear that we are transforming accepted clinical practice that has been in place well before the creation of the NHS and embracing new technologies for the betterment of patient care and our service.