Plotting Healthcare Technological Transformation Through Ecosystem Maps

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Healthcare technological transformation is not only desirable, but absolutely necessary in today’s data-driven medical settings. Proper care hinges on real-time information and cross-departmental sharing.

Consequently, it is more important than ever that organisations get the most out of their data. It can reveal a wealth of information to help organisations streamline processes, conserve resources, and provide better care.

Nonetheless, most organisations tend to stick to routine methods instead of exploring new solutions. Their limited budgets, diverse challenges, and complex hierarchies can make healthcare technological transformation seem an impossible feat.

Fortunately, this doesn’t need to be the case. It is possible to mine, analyse, and act on healthcare data quickly and wisely.

Healthcare Faces Diverse Challenges

Undoubtedly, healthcare faces many diverse, complex challenges. Patients use sensors to track their vitals. Each patient has a unique physiology and their requirements may change often. The industry also generates a huge amount of data across a broad scope of equipment and professionals.

Furthermore, healthcare professionals want data for more than treating illness. They also want to predict risk and prevent disease. This makes the extraction of useful actionable insights of even greater importance.

Nonetheless, healthcare data is protected under law in most countries. This makes data storage and data handling a complicated costly consideration.

Additionally, analysing data requires expertise. Statisticians, machine learning experts, and data scientists are some of the most highly paid knowledge workers in the tech industry.

Finally, healthcare IT infrastructure must meet very demanding needs. It must be highly available, equipped with built-in redundancies to prevent data loss, comply with modern security standards, and easily expandable as data volume increases. This becomes an ongoing cost that organisations must justify to stakeholders.

Sovereign Nations Recognize Healthcare Needs Solutions

Luckily, some governments are showing some initiative to help find healthcare solutions. The UK’s NHS AI Lab made £140 million available for artificial intelligence innovations that can solve problems in health and social care. Australia launched the Medical Research Future Fund, a $20 billion long-term investment in medical research and innovation.

While these measures are promising, they certainly aren’t the only innovations available to those looking for healthcare solutions. Plus, healthcare innovation requires more than just a list of potential solutions. Organisations also need practical steps to tackle their issues.

Plotting Strategic & Tactical Pathways

Plotting healthcare change includes both strategic and tactical considerations. Strategically, organisations must map the core technologies and solutions that they will need. This may include artificial intelligence, machine learning, and the Internet of Things.

Additionally, they will need to segment the vast array of data-driven tools and processes. Otherwise, the scope of available technologies and available processes can be overwhelming. Besides that, the organisation must create a strategy for addressing each challenge.

Fortunately, the individual pieces already exist to solve this seemingly unmanageable puzzle. EarlyBirds puts these pieces together in a meaningful way. Healthcare industry executives or public officials working in government can solve problems and accelerate innovation through any of our four pathways.

EarlyBirds Innovation Ecosystem

EarlyBirds award-winning Innovation Ecosystem can help government and private sector organizations create or work through data-centric programs to modernize their healthcare systems and processes. We unite Innovators, Early Adopters, and Subject Matter Experts (SMEs) to fuel rapid innovative adoption and business evolution.

Early Adopters are those eager to identify new and disruptive technologies. They want to seize opportunities, solve business challenges, or create new products and services. EarlyBirds collaborates with them to build the foundation they will need to move forward with a data-centric approach.

Our Ecosystem has a data pool of over 4.8 million global innovations that may already address your organisation’s challenges. Alternatively, organisations can list their challenges and request solutions from innovators.

EarlyBirds Ecosystem Maps

Our Open Source Intelligence (OSINT) platform can help healthcare providers modernize their data collection, storage, and analysis pipelines.

We create dynamic global ecosystem maps to help you fully understand what technologies are available and current trends and potential issues. Each map is individualized for the organisation and specifically designed with organisational goals in mind.

EarlyBirds Explorer Program

The Explorer Program is tailored towards those who need innovation as a service to supplement existing innovation programs, or to conduct innovation projects when required.

EarlyBirds Challenger Program

The Challenger Program focuses on a single organisational or technical challenge at a time, often finding a solution in weeks rather than months.

The program is run by an EarlyBirds Subject Matter Expert who identifies your key issues. The SME then searches the data pool to identify and curate options for further evaluation. The most suitable option is chosen and the SME drafts a roadmap of next steps, POC, trial, or implementation.


EarlyBirds offers efficient, organized, and automated innovation processes. Let us help you streamline workflows and enable cross-functional teams to ensure your organisation discovers, assesses, and implements new technologies, quickly and efficiently.

Healthcare industry executives and public officials working in governments around the world who are willing to implement cutting-edge data-centric approaches can register at, or contact us to discuss organisational needs. We help sovereign and organisational entities increase capacity.