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Distributed Ledger Technology to Create Connected Networks of Patient Data

Technology Overview

Our technology is a network and middleware which integrates existing electronic healthcare record (EHR) technology with other healthcare databases. Our nodes sit alongside healthcare systems and health technology vendors using patient consent to drive data exchange, while creating inter-organisational audit trails.  Globally, healthcare systems suffer from a lack of interoperability. Patient care is diminished and professional workload is increased. New innovations usch as artificial intelligence clinical decision support software progress slowly because of lack of access to meaningful training data sets. Because patient data is held in silos and not exchanged, patients need to remember their personal history, and healthcare professionals have to rely on outdated and insecure technology such as emails, or even faxes.  Users of the technology are:  Public and private primary and secondary healthcare providers Clinical systems software providers  Digital health applications including personal health records  Non-healthcare consumers of health data, e.g. employers, insurance companies etc.  We are excited to work with both developed and emerging healthcare systems and networks to be part of their information technology strategy.

Technology Features & Specifications

We use novel distributed ledger technology to put patients in control of their health data. Explicit consent is gathered through a mobile application or an API integrated with other software.  Our ledger creates an inter-organisational audit trail to ensure data is never altered, delayed or lost, that was not possible before.  Current integration solutions rely on ‘integration engines’ within hospital systems, or information gateways for local healthcare systems. Both of these approaches ignore patient consent and limit information interchange only to healthcare professionals who provide direct medical care. This approach excludes a variety of relevant groups from the network - private and community health providers, voluntary sector organisations, even the patients themselves.  Value Proposition: System interoperability to create a virtual shared health record without any change management associated with adopting a new system. Decrease in development time needed to integrate a health database product with a number of external organisations.  Reduced administration due to automated data exchange creating process efficiency for consumers of health data. Immutable audit trail with visibility of who accessed what data and when.   Less information governance responsibility for data controllers, as data sharing is governed.  Network effect - instant access to data from any existing integration partner.  Availability of patient data at point of sale.  We use Fast Health Interoperability Resources (FHIR) standard for medical data transmission and storage. It also uses SNOMED CT, an international medical coding standard. We have completed the NHS Data Security and Protection Toolkit which sets out information governance standards.

Potential Applications

Our primary application area is in public and private healthcare systems but we can also be applied to: Health and life insurance  Wellness providers - gyms, yoga studios etc. Research organisations Technology companies operating in health that require patient data to develop their products Mobile apps for health and wellness Other organisations or systems which require consented data transfer  If the technology is adapted, products that would benefit include: A new generation of healthcare applications which work with patient data to deliver better healthcare at a lower cost. Digital health apps are currently limited by the lack of high quality data and rely heavily on patients entering data manually. Poor patient engagement has held them back significantly. New machine learning and Artificial Intelligence (AI) products for health that require access to good quality data with feedback loops in place. This is much easier with fully consented data rather than synthetic training data or mass anonymised data sets.  Insurance quotation and claims systems that can access consented data in real time, and provide optimised quotes and quicker claims payments.  What is the estimated size of the market for this technology? The EHR market was worth US$28 billion in 2016, expected to rise to $36.6 billion by 2021*  The mHealth market was worth US$23 billion in 2017, expected to grow at CAGR of 35%** * https://www.kaloramainformation.com/Content/Blog/2017/04/28/The-State-of-the-EMR-Market-in-2017  **  https://www.reuters.com/brandfeatures/venture-capital/article?id=4640

Customer Benefits

What business opportunity does the technology offer? For producers of information (including patients) there is the opportunity to monetise health data, directly or indirectly. Producers could choose to integrate with individual customers, or attempt to establish  a ‘standardised’ model for an API (forcing multiple integrations with the customers). With our technology, they can take advantage of this opportunity more effectively, and with lower costs.   For consumers, they can benefit from real time access to fully consented patient data. Are there cost saving benefits? Manual input, transfer and acquisition of data is a substantial cost centre in almost every medical organisation across the globe. We have the capacity to significantly reduce the workload on these departments, freeing up resources and personnel. Nurses and administrators spend a great deal of time just entering data, and hospitals routinely order new tests if they can’t retrieve the results of previously completed tests.  In many jurisdictions there are strict laws around transferring patient data with and without consent. Where these rules aren’t complied with, there are legal risks accompanied by litigation costs. We provide a strong inter-organisation audit trail which demonstrates patient consent and organisation compliance.  Are there economic, environmental, social benefits etc? Integrated healthcare, which relies on joined-up data, has been repeatedly proven to reduce waste, improve patient outcomes and clinical safety in medical systems.  In countries with public healthcare systems and hybrid systems, there are large costs savings for the public accounts.  Improving options for self-care, particularly for rural communities, will reduce the burden on healthcare systems and improve outcomes for patients. Those with multiple long-term conditions will require to perform less self-reporting and better able to manage large amounts of data from multiple practitioners. These patients would benefit most from an electronic record and integrated information.

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