1 to 5 of 5 Electronic Patient Records Jobs in the Thames Valley

around delivering high quality consultancy research for commercial partners using Akrivia Health’s unique data asset of 4.6 million+ patients’ anonymised psychiatric electronic health records. Further details of the duties are provided below. On application, please also provide a covering letter. KEY TASKS: ● Deliver consultancy … research projects for our commercial partners using Akrivia’s database of 4.6 million+ AI-enriched mental health patient records, including: o Feasibility analysis and scoping for potential projects, including retrospective research, clinical trial feasibility. o Development of project proposals and pitch decks for … Work with our team of Clinical Advisors to develop a deep knowledge base for mental health electronic health record (EHR) data. ● Dissemination: Write project reports, research papers, create presentations to disseminate project results and run workshops to showcase our research platform. ● Use initiative and creativity more »

of given workload to ensure that clinical coding departmental targets are met. This involves the extraction of relevant clinical information from the relevant electronic patient record, followed by accurate translation to a clinically coded format and its subsequent data input onto the patient … to analyse and interpret clinical notes which may at times cause distress through frequent indirect exposure to harrowing and / or graphic patient information. The ability to multi task will be required during clinical coding duties due to the nature of a busy office environment. Study … have strong problem solving abilities and be able to work on their own initiative without constant supervision. Provide data quality assurance on key patient demographics such as missing or incorrect data fields i.e. incorrect consultant or transfer, through routine audit of notes conducted as part of daily more »

application, please include a covering letter. To do this, we curate a globally unique dataset of more than 4.6 million patients’ anonymised psychiatric electronic health records (EHRs) for research use. A … crucial part of our curation process is the application of AI-enable natural language processing algorithms to structure the free text elements of the EHR (clinical notes, letters, reports etc). Development of these NLP models is the primary focus of our in-house AI team, in which this role … structuring pipeline. The goal of this activity is to develop accurate, clinically valid, explainable, and scalable NLP models to extract new structured data from EHR free-text fields. The AI Team collaborate closely with the Research Team (to match the outputs of their models to research needs), the Engineering Team more »

and scalability problems for organizations around the globe. InterSystems also develops and supports data management in hospitals through the world’s most proven electronic medical record, as well as unified care records for health systems and governments through a powerful suite of more »

and scalability problems for organizations around the globe. InterSystems also develops and supports data management in hospitals through the world’s most proven electronic medical record, as well as unified care records for health systems and governments through a powerful suite of more »