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Contributed on January 3, 2023

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Open data healthcare ecosystems

Blog: End to End BPM

Have you ever wondered about the possibilities if more anonymized data was used to fight the biggest challenges on earth? From climate change, food security and healthcare for example?

Have you ever come across the idea that no entity is able to collect the full spectrum of available data that represents a domain of body of knowledge? – well, some distinguished companies, which their business model based on advertising think they can (“I want your data”) – however, if you consider about the way anatomy is studied and perceived it is a reductionist decomposition – the respiratory system, the cardiovascular system – results in a design contradiction because we humans are a distributed complex system that equalizes itself as a whole, despite we created these walls of separation, that ended up of generating data silos. It makes me remember in the retail industry the concept of the customer golden record, the aggregation of all our transactions, wishes, wants and emotions broadcast in social media.  Since healthcare is organized by specialties, as a result of the decomposition of human anatomy into sub systems, data may not be available in a single institution. Also, important data sources as patient self-generated data are not managed by healthcare providers and are an important data source about our uniqueness as a human being.

Personal health information that health care providers and payers, must make available to an individual, such as their current and past medical conditions and care received; and longitudinal information that is of general interest and should be widely available to the patient to facilitate coordinated care and improved patient outcomes to the point on understanding failure to fill a prescription, or receive therapies, that can indicate that the individual has had difficulty financing a treatment plan or adopt it once he does not believe it makes him feel better.

We should on one hand avoid inflating expectations in particular claims about making general assumptions about understanding or finding generality and potential solutions – for example, targeting populations in different regions in the same country – but we should not create barriers to ourselves about the potential of making more anonymized data to address at it seems unreachable challenges.

As we are being influenced by adopting open science, as an evolution of open source, this creates new opportunities around exploring these possibilities:

• Healthcare data lakes to be used to interoperate ontologies for learning object retrieval and reuse from local to global ontology. In this way, data lakes were exploited to extract information from heterogeneous data sources and generate real-time statistics and reports.
• Create statistical models based on collecting population data from preceding patients and study partners, that provide valuable insight about prediction of disease development in patients with the same similarity.
• Generate synthetic data parameterized within the range that represents a wider population, sex, age, weight, diet, degree of physical activity, and societal environment to explain the mechanisms underpinning inter-individual variability in therapy response and to identify sub-populations at higher risk.
• Amplifying the possibilities of using federated learning for novel algorithms on image classification, object detection, image colorization and video rendering.
• Enable a pathway to expose fewer patients to experimental therapies by relying on other sources of evidence. It can offer an opportunity to investigate aspects of medical device performance in many more clinically relevant cases. Statistical models can be used to collect a representative virtual patient cohort, and mechanistic models can then be used to simulate the medical device behavior under defined scenarios.
• Much is being discussed about the benefits of platform business. In the concept of the wider healthcare industry platform, population health is a key area for governments that want to progress on healthcare education, shifting habits that will have a positive impact on quality of life and decrease cost of care, understand how to drive investments and policy formulation to reduce or prevent the most common diseases. Paying it forward to governments also brings benefits of supplement data that will enrich advancements in healthcare.