Managing crises and diseases
COVID-19 has exposed the lack of coherent and joined-up information systems across and within public healthcare systems in Europe, Asia, and America. What data is available is siloed and is not easily integrated, which has resulted in public healthcare systems struggling to respond to the pandemic in an agile manner. The lack of a coherent and joined-up information system means that public sectors still cannot answer many critical clinical questions relevant to this epidemic:
What existing conditions predispose people to Covid-19 infection or a bad outcome?
How do authorities deploy their resources to maximise efficiency and provide better patient care in their system?
Why do some younger people need hospitalisation, but most barely notice the infection?
What defines best work practices in the healthcare community so that preparations can be made to adapt and prepare for a second wave?
A Unified Healthcare Data System would not only allow answering all of these questions, but it would also enable better management and understanding of the risk factors around major non-infectious diseases, which are the main work of Public Healthcare Authorities during an unprecedented time.
Make your Data Lake an Innovative Healthcare Solution
Existing data systems – Electronic Health Records, Pathology Systems, Primary Care Data Systems, etc. – can not and should not be expanded to give an overview of what is happening in the overall healthcare system. They should be allowed to continue doing the job that they were designed and installed to do.
What is required instead is to build a Data Lake into which these disparate systems can deliver their data. Ingesting data into this data lake from these systems in a secure and compliant manner will allow this data to be combined to provide complete views of the data from a patient, disease, care and administration viewpoint.
Combining this data on a data lake will provide the processing power and tools required to run AI and Machine Learning models on this dataset, ensuring that clinicians, researchers and administrators can access the insights they need when required.
BDM Health is a suite of data automation tools that allow healthcare professionals to build secure data lakes without requiring expertise in technical infrastructure.
BDM Health makes health data ingestion into the data lake secure, anonymous and compliant with data governance regulations while getting all data access and activities on the date recorded and auditable.
With BDM Health, data pipelines can be built, operational and in production in an hour rather than weeks or months, ensuring the most up-to-date data is available as and when needed.
BDM Health for Unified, Secure Data Lake
New level of Data Security & Access Management
Different levels of access and different views of the data can be made available to different user personas.
A Clinician or healthcare professional may be allowed to see data available on a patient they are treating, while a Researcher may only be allowed access to de-identified patient data.
Federated access to the data can be configured, ensuring the maximum value can be derived from the underlying data in a secure and compliant manner, from the largest possible audience of users.
Optimise Healthcare Experience Across User Journeys
Access to identifiable & de-identifiable patient data
Feedback between data models and EHR systems
Region wide view of diseases and trends
Custom models created to match medical areas of interest
Access to de-identified patient data
Access to quality controlled, verified data sets
Availability of modern data management tools
Rapid processing of models in a cloud environment
Public Authority Administrator
Access to de-identified data patient data
Combined view of all data i.e. Acute hospital, primary care, secondary care, etc
Region-wide view of system resources, efficiencies, and blockages
Resource management is possible across Authority/ Region/ Municipality