Opinion Article: Where Next for the Portal?

CaradigmBy Dr Joel Ratnasothy, Medical Director EMEA for Caradigm.
The problem is that a portal in a healthcare IT context is a loosely defined term to describe a web page that displays information retrieved from other systems. The systems it connects are ideally 'Best of Breed' applications that manage specific clinical tasks such as medical imaging or blood sample testing. But the broader IT industry no longer talks about web portals, but it is talking about ‘big data’. Yet some hospitals may think that a web portal will help achieve the analytical benefits promised by big data, but it won’t. It won’t because, much like the early internet, most web portals are read only (e.g. web 1.0). They collect the data as a snapshot in time, present it to the user and then it ages quickly. In addition, most portals are built to be viewed using a desktop web browser and do not naturally adapt to being viewed on mobile devices. The user is restricted to viewing the data on a desktop at a fixed location, not at the place where they want to see it - at the patient's bedside.

How did we get here?
If we reflect on the evolution of hospital IT systems, the need for their creation stemmed from the driving force that is the hospital ward round. As science and technology progressed, diagnostic departments like radiology and pathology grew to service the increasing demands made on them from the ward round. These departments had information challenges and IT systems that were built to support them. But each department only saw a single aspect of the patient record in a single part of the clinical process. Each system held information that was only a part of the overall patient’s health picture, and copies of results and physical images needed to be sent back to the ward to be stored with the patient’s master paper record, which ultimately remained the single source of the truth about the patient. If the use of the portal is to survive and flourish it needs to become that single source of the truth. And it needs to evolve just like the internet did, from read only 'portal 1.0' to read and write 'portal 2.0'.

Portal 2.0 - Benefits for patients, clinicians and managers
The goals of the clinician are to identify, diagnose and treat disease and the majority of activities geared to achieve these goals are generated during the ward round, next to the patient. By enabling administrative tasks to be carried out closer to the patient, the most current, complete and accurate information can be made available to the clinician when it is needed most. Analysis or decisions made by the clinician can be recorded at that point in time and if further follow-up is required, it can be requested there and then - no one should have to spend additional time on administrative tasks such as ordering tests or requesting investigations once the ward round has finished.

One of the benefits of supporting clinicians' workflows in this way is that it can garner greater adoption in the clinical setting. Give someone a tool that helps them do their job more efficiently and they will keep on using it more and more. The benefits of the 'Portal 2.0' for patients and clinicians are obvious and can even benefit hospital managers. There are commercially available stand-alone applications that provide hospital managers with information such as bed occupancy or readmission rates, however, hospital managers require aggregates of this type of data to efficiently run analyses and workflows at the request of clinicians to allow such clinicians to better manage their individual patients. The beneficial result is that clinical staff will know where their patients are, when and where they are transferred and when they are discharged.

A portal that collects and displays data from underlying systems but also supports clinical workflow, displaying and capturing data at the point of care is what I would define as a 'portal 2.0'. This allows rich clinical data to be analysed to improve clinical practice and provide valuable management information in near real-time.

Raising standards without increasing cost
Recognising that applications that manage clinical data can also provide reliable management information is important. Hospitals can find it very difficult to invest in IT systems on the basis of improving clinical care alone - for an investment to be justifiable, such investment has to improve quality of care and save money. Understanding the benefits of supporting clinical workflow whilst providing essential management information, makes a compelling business case for IT investment that much easier.

The portal is a loosely defined term, even dated. Up to now, this has resulted in general confusion and missed opportunities to solve the real underlying information issues that remain ever prevalent in healthcare. It is time to redefine the concept of the portal to one that supports clinical workflows and enables more efficient hospital practice.

Most Popular Now

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...