A simple wish: free up time for patient care

InterSystems Corporation (Australia)

By Niclas Skyttberg, Physician Executive*
Friday, 01 February, 2019

A simple wish: free up time for patient care

There was a saying when I went through medical training: “We have never spent more money on healthcare and health has never been better. The problem is the unclear causality.” Following the eighteen years since then, Australia has increased current expenditure on health from approximately 7–10% of Gross National Product (GNP), Sweden from around 7–11%, the UK from around 6–10%, and the United States from around 12–17%.

In 1960, Baumol and Bowen made this very prediction when they described what happens in sectors that fail to improve productivity. Recent advances in medicine give us access to advanced technology with higher cost, but this has not been accompanied by lower needs in staffing. Ultimately, it will contribute to healthcare costs consistently increasing to a higher fraction of GNP. The overall effect is that while we seem to get more for less in high-productivity industries, we tend to feel that we overpay for the same or even less in healthcare.

Another way to explain why productivity has not increased is that healthcare is intrinsically labour intensive. We provide value by meeting our patients, by giving them time to talk, listen and reflect, and by treating them one at a time. However, according to some studies only 40–60% of physician time is used for direct patient work, while the remainder is largely dedicated to administrative tasks.

Innovation in the administrative part of healthcare is likely to be one of the lowest-hanging fruits in productivity. Luckily it is an area which is quite possible to automate, which provides opportunities to take away some of the recurring, and frankly boring manual tasks.

While studying vital sign documentation, I found that five out of nine hospitals document vital signs on paper. I also observed that it is likely that no emergency department in northern Europe automatically transfers the measurements from a device to the Electronic Health Record. I would be surprised if it were any different in Australia. When measuring the workload associated with vital sign documentation, this task was found to be both time consuming and extremely frustrating to the staff. They felt stuck in the past century. To a large extent, they are right, because most devices today come with great capabilities that enable communication of patient data in standardised information formats.

A lot of resources are also spent on reporting to quality control, either in-house or to national quality registries. The quality registries in northern Europe are well kept and cover many aspects of healthcare. However, it tends to be a burden for clinical staff: many reports still need to be done manually, and clinical competence is needed to compile and convert unstructured information into structured data. I am sure there are similar issues in Australia.

With a shared information platform, however, where data can be normalised and mapped to standardised concepts, interoperability would improve. Increasing the amount of standardised information together with tools that can handle unstructured data, like natural language processing (NLP), will be the way forward in automation of quality reporting. This would save a lot of resources and it could contribute to quality benchmarking across the health system.

These reductions in unnecessary manual administration are so close, we can almost touch them. In fact, so close they should already be here. It would propel us further on the productivity path if we let the machines do what they do best, while enabling clinical staff to spend more time with patients.

*Niclas Skyttberg joined InterSystems as Physician Executive in September 2018. Previously, he was the Chief Medical Informatics Officer and Chief Medical Officer at Capio St Görans Hospital in Stockholm. Niclas is an affiliated researcher at the Karolinska Institute – Health Informatics Centre in Stockholm working on data quality, clinical decision support systems and implementation research.

Image credit: ©stock.adobe.com/au/Rawpixel.com

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