Mae cyfleoedd enfawr i gefnogi’r gwaith o ofalu am gleifion drwy ddefnyddio data digidol a’n gallu i ddehongli’r wybodaeth mewn ffordd ystyrlon a gwerthfawr. Bydd maint, ansawdd a pherthnasedd yr wybodaeth am gleifion sy’n cael ei chasglu heddiw, gyda’r addewid y bydd rhagor yfory, yn hollbwysig ar gyfer gwella manylder diagnosisau meddygol a thriniaeth. Rydym eisoes yn casglu a choladu symiau sylweddol o ddata am gleifion ac yn gofalu yn ddiogel amdanynt drwy’r cofnod electronig am gleifion a’r Sefydliad Cyswllt Diogel Gwybodaeth Ddienw a gynhelir gan Lywodraeth Cymru. Byddwn hefyd yn gallu cipio a storio llawer iawn o ddata meintiol o ddelweddau meddygol eglur iawn ac mae camau breision i’w cymryd drwy ddadansoddi canlyniadau’r delweddau gweledol gan ddefnyddio algorithmau diagnostig a fydd yn helpu i ostwng amrywioldeb mewn diagnosis. Dros amser, bydd cymhwyso technegau dysgu dwfn a deallusrwydd artiffisial i’r data mawr yn rhoi i glinigwyr ac ymchwilwyr meddygol y gallu i ganfod cysylltiadau a phatrymau na fyddent yn amlwg petai’r setiau data yn llai ac yn golygu dehongli dynol yn unig.
There are huge opportunities to support patient care by the use of digital data and our ability to interpret the information in a meaningful and valuable way. The quantity, quality and relevance of patient information being collected today, with the promise of more tomorrow, will be critical to improving precision in medical diagnoses and treatment. We already safely and securely collect, collate and care for significant amounts of patient data through the electronic patient record and Welsh Government supported Secure Anonymised Information Linkage Databank (SAIL). We will also be able to capture and store large amounts of quantitative data from high-resolution medical images and there are big strides to be made by analysing the results of the visual images using diagnostic algorithms which will help to reduce variability in diagnosis. Over time, the application of deep learning and artificial intelligence techniques to anonymised clinical data sets will give clinicians and medical researchers the ability to establish connections and patterns that would not be apparent if data sets were smaller and involved human interpretation alone.