Use of Artificial Intelligence has helped doctor and clinicians to bring perfection. The scopes of such intelligence include deep learning, machine learning or artificial neural networks. The entire gamut has helped in offering a paradigm shift in the processes of daily work. The effort to implement AI helps to boost workflow efficiency and improving the care process and patient throughout as well.

Each of the reputed pathological labs in Hooghly is being flooded with the flow of patients and thus is made to process huge clinical data. Electronic medical records have helped them in proper synchronization of these data that include imaging data, exam and procedure reports, lab values, pathology reports, waveforms, data automatically downloaded from implantable electrophysiology devices and so on. Coming years are going to see the use of bidirectional patient portals. Here, the patients themselves will be able to upload their own data and images in the EMR system. This improved technology will help imaging sites of wound that require immediate healing. Critical information including tracking of medical compliances, blood pressure and weight loss, blood sugar and anticoagulant INR etc.

So, Artificial Intelligence would not play any role in diagnosing patients or help the process of changing doctors. Rather, use of this technology in the Diagnostic Centers in Hooghly brings improvement in the process of finding the relevant data required to find the perfect care while presenting the same in a concise and digestible manner. AI reviews the images produced and identifies all the potential findings within moments. Additionally, these data are used in brushing with the patient history relating to the particular anatomy scanned.

The current system of reporting in radiology in the Medical labs in Uttarpara needs to bring about abrupt change as the current success parameters include improvements in efficiency, productivity, cost-effectiveness, quality and patient outcome. Driving through quality improvements and making attempts to enrich patient care process, the documentation process in radiology is required to provide context data. Clinical tools should offer access to reports made in advance and other patient narratives to ensure holistic view in those reports that will provide better interpretations. Manual extraction and distilling of the information will invite huge expenses. Therefore, these datasets are set in advanced technological formats like PACS and EMRs. Use of technology helps the radiologists make fair access to the relevant data.

The use of advanced cloud-based business intelligence technologies allows in better analyzing of individual records and collections of big data. In responding to queries, these platforms use free and unstructured data that are guided by algorithms. Nowadays, there are various radiology-focused data engines that are able to ingest information that is inaccessible under normal practice. Use of technology has made these available at a lower cost too.