EHR integration for the Mendelian Scanning Platform, for seamless referrals to rare disease diagnosis specialists
EHR integration for the Mendelian Scanning Platform, for seamless referrals to rare disease diagnosis specialists
批准号:
830237
负责人:
金额:
$76.45万
依托单位:
依托单位国家:
英国
项目类别:
Innovation Loans
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --
中文摘要
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英文摘要
Individually, rare diseases impact small numbers of people. Collectively, they impact 1 in 17 people and are a public health priority. A significant portion of rare diseases are, by their nature, difficult to diagnose. Non-specific symptoms may present slowly over time as the diseases impact multiple organ systems leading to repeated mis-diagnoses. Average time to diagnosis exceeds 5 years and the likelihood of positive outcomes frequently declines over this time.Mendelian's goal is to shorten the long 'diagnostic odyssey' rare disease patients endure. By helping to identify rare diseases faster, Mendelian is also contributing to significant costs reduction in the NHS and reducing health inequity in rare disease diagnosis, by providing the right information to the right clinician at the right time.The Company has been working in the field of rare diseases for the last 5 years and has been a strong advocate for the use of digital health and data in Rare Disease diagnosis. Mendelian has a strong team of clinicians, computer scientists and patient advocacy executives who are all passionate about providing answers faster to patients who need it the most.Mendelian's technology has the ability to positively impact the daily lives of patients, by allowing doctors to diagnose patients in a shorter time frame. With an early detection of a rare disease, it allows patients to put an end to prolonged diagnostic odyssey and have a much better quality of life, being able to adapt to their disease and begin treatment where required.At the same time, it is important to protect patient privacy and confidentiality. Mendelian employs best practices with regards to technical architecture and patterns to ensure data integration, access and processing is secure. This project will allow the Company to develop scalable ways to safely grow its footprint in the NHS.
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