Expected to reach a market share of $6.6 billion by 2021 and improve health outcomes by 30-40%, artificial intelligence is actively competing as the new landscape of health management and care. Faced with a new challenge to meet technological demand, hospitals and providers are looking to use artificial intelligence to advance population health management, drive administrative efficiencies, and deliver patient outcomes—and Philips Healthcare’s Illumeo is taking a huge step to get there.
Philips is the first company to offer artificial intelligence in healthcare, delivering a new approach to how radiologists see, seek, and share patient information. How will this move reshape the trend of artificial intelligence?
Health Informatics x Artificial Intelligence
Presently, health informatics teams encounter new challenges every day within the healthcare industry such as the overabundance of unstructured data, increasingly sophisticated cyber threats, and growing demand for digital care support. Coupled with these technological pressures, the industry is also faced with a rapidly aging population, elevated cases of chronic disease, and the advancement of alternative payment models. Plus, now, more than ever before, patients are empowered with a greater amount of health knowledge and expectations. Artificial intelligence provides an opportunity to reduce these pressures.
As information collection shifts digitally, every piece of data requires an IT platform for storage. Health data like patient information, lab results, and diagnostic imaging are among some examples of stored protocols. As an integral part of these health IT teams, the Chief Information Officer (CIO) addresses how to best store this data for optimal use. The sheer volume and diversity of information a CIO manages continues to be an ongoing concern for health informatics leaders. The speed of data accumulation is far outpacing the ability to analyze it.
“What healthcare providers have is incredible data, but very few insights. And what clinicians really want is insights—to tell them what they really need to know.”
– Roy Smythe, MD, Chief Medical Officer for Health Informatics, Philips Healthcare
Introduction to Illumeo
In 2016, Philips debuted the adaptive intelligence technology Illumeo. Built with data analytics in mind, Illumeo makes it possible to view relevant patient information gathered from various sources. Illumeo looks to ensure faster diagnoses, shape more well-informed care decisions, and ultimately improve patient care. With this new approach, radiologists can view patient information and then securely share that data with other providers. All of these measures help improve the experience for patients at the point of care and after their visit. Philips believes technology should adapt to the needs of the patient to help them achieve better outcomes, and that artificial intelligence is a key way this will be accomplished.
“We believe a person’s health journey should be a connected journey that offers a seamless, integrated and highly personalized experience…as needed and when needed.”
– Philips Healthcare
Illumeo Foundational Pillars
Artificial intelligence helps health informatics leaders extract vital data for utility. Illumeo makes use of these applications to lead to better patient outcomes and superior population health. Philips created Illumeo around four key pillars to help better serve this motivation:
- Contextual Relevance
The system design provides radiologists with patient information that can be impactful for a diagnosis or analysis. Details like lab results, radiology reports, and scanned patient documents are more easily accessible to the viewer.
- Reduced Variability
Illumeo saves all of its findings to a single source to allow direct access within one workspace. This artificial intelligence programming assists physicians in following best practices for the patient.
- Adaptive Intelligence
To create a truly state of the art experience, Illumeo gathers a user’s hanging protocols in a more consistent manner. ‘Hanging protocols’ refers to a series of actions performed on a patient to reproduce for film viewing. Illumeo records and reproduces these protocols, images, and image tags for a robust system that radiologists can rely on.
For the purpose of scalability and future growth, Illumeo integrates within existing platforms to meet the latest interoperability standards like HL7 FHIR. This means that the platform engine will continue to grow as health institutions evolve.
Collectively, these four concepts offer endless applications in healthcare. As our world becomes more digitized and streamlined, artificial intelligence provides an optimal way to collect and analyze key information. Among the many applications, chief among them are:
- Improving operational efficiency and performance
- Aiding clinical decision support
- Enabling population health management
- Empowering consumers, improving patient care
The great motivation behind AI in healthcare is that increasingly, as patients become more engaged with their own healthcare and better understand their own needs, healthcare will have to take steps towards them and meet them where they are, providing them with health services when they need them, not just when they are ill.
– Philips Healthcare
All of these pieces of patient information make it difficult for physicians to continuously collate, assimilate, and use the data on a daily basis. To ensure proper development, facilitation, and application of artificial intelligence within healthcare, the need for health informatics experts remains high. Many healthcare systems are being challenged to recruit these qualified experts who can help support in making valid, impactful decisions to exceed patient experience expectations. Demand continues to rise for professionals within this field, and job growth is expected to rise over 20% by 2020. (Bureau of Labor Statistics)
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