In a data-first world, organisations depend on their ability to gain and access insights from data. Helping our customers to digitally transform means breaking down the silos for data flow across the organisation. Data unification is both a beachhead and foundational scenario in healthcare.  With Patient 360 that powers actions e.g., personalised patient journeys, patient view insights, and missed appointment predictions.

Healthcare Cover - Intelance
About industry

Healthcare transformation.

The healthcare industry is comprised of providers of diagnostic, preventive, remedial, and therapeutic services such as doctors, nurses, hospitals and other private, public, and voluntary organisations.

It also includes medical technology/equipment manufacturers, pharmaceutical and life sciences manufacturers, and health payor and insurance companies.

The healthcare industry, given the regulatory environment in which they live, has been cautiously transforming their infrastructure to cloud computing. Accelerated by the global pandemic, this industry now has an immediate need for systems and staffing resources they may not have.

Healthcare organisations also see several barriers to monetising their organization’s data, citing poor data reliability, issues with data protection and privacy regulations, challenges protect and secure information, and a lack of analytical talent.  

Healthcare is undergoing unprecedented change

The consumerisation of healthcare is upon us. Patients expect more personalised care from their healthcare providers. Healthcare buying teams are growing in size and complexity (average group size is from 9–12+ individuals) across multiple disciplines of business, clinical, IT, financial, and administration.

Digital transformation progress is being made but efforts are fragmented. Organisations understand they need to invest in new tools/technology to effectively drive transformation in healthcare, but tapping into structured electronic health records (EHRs) or unstructured, on-premises (legacy records) data remains a challenge.

Our perspective on healthcare

Reimagining healthcare

With so much data expected to be available so soon, healthcare executives are anticipating the transformative power of new technologies.

  • Seventy percent of hospital executives agree that keeping up with trending technologies not only gives them a competitive advantage, but is essential to growth and a positive customer experience.
  • In fact, by 2025, an average of 3GB of health-related data will be created daily per person.
  • Forty-eight percent of healthcare executives say the biggest obstacle to piloting digital transformation initiatives is a lack of mature technology.

The move from on-premises systems of record to agile, interlinked systems of insight and engagement is well underway. This transition will only accelerate as data volumes increase.

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Around the world, we are seeing stagnating birth rates and increasing life expectancies.

  • By 2050, this will cause the number of people aged 60 or over to more than double—from 900 million to 2 billion, representing an increase from 12 percent to 22 percent of the population.

As this large percentage of our population ages, there will be an increased need for more care coverage to address growing eldercare needs.


As populations age and healthcare needs become more complex, providers are facing a global shortage of workers at the worst possible time.

  • By 2030, providers will suffer from a projected shortage of 14 million workers worldwide.


To keep healthcare data secure, health organisations have to prioritise security and compliance, especially with the threat of ongoing, high-profile data breaches and identity theft.

  • Currently, the global health industry loses £4.5 billion per year to data breaches, putting patients at risk and straining already tight budgets.


Just as digital transformation in other industries has led to increased patient expectations, patients have higher expectations than ever before towards their doctors, insurers, and the treatments they receive.

  • Ninety-seven percent of patients now expect any healthcare institution to have full access to their medical history.

To live up to increased patient expectations and best serve patients, healthcare organisations will have to reconcile more extensive networks of data with increased security efforts.


IoT & Data ananytics use cases

Common healthcare IoT & analytics use-cases

Continuous patient monitoring

Extend patient care beyond the hospital walls, reduce re-admissions and manage disease through in-patient or remote patient monitoring.

In-home care

Assist aging population, monitor recovery and rehabilitation, and help to manage disabilities and chronic diseases.

Smart hospital equipment

Gain insights from your hospital equipment to improve patient outcomes and manage equipment health.

Smart hospital building

Enable a better hospital experience for care teams, patients and their support networks.

Inventory management for medical supplies

Ensure that medical supplies are fully stocked and readily available to provide efficient and effective care.

Automation use cases

Common healthcare automation use-cases

Patient care

  • Track patient registration
  • Guide patients upon arrival through check-in processes
  • Collect patient data from medical records and transcribe into relevant check-in documents
  • Send time-based follow-up appointment reminders to patients after discharge

Data management

  • Retrieve medical information and input into medical records
  • Duplicate Electronic Health Records across relevant systems
  • Collect information needed to monitor progress of prior authorisations


  • Add new providers or renew the contract of an existing provider
  • Monitor payment progress of patient bills
  • Alert health care staff of upcoming appointments

Case Studies

Pump Manufacturer Azure Purview
Case Studies
Danish pump manufacturer develops sustainable water solutions

A danish manufacturing company creates innovative solutions to the planet’s water and climate challenges. As its data volume grew due to Internet of Things (IoT) initiatives, the pump manufacturer needed better discoverability and governance across its cloud-based and on-premises data sources.

Read More »
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