Alcidion Launches Miya Results Tracking in Response to Patient Safety Challenge

Alcidion LtdA systemic cause of patient harm could be better avoided with the help of technology, following the launch of Miya Results Tracking by health tech company Alcidion.

The new digital solution is designed to reduce the risk of test results not being followed up. It has been built to help healthcare professionals in hospital settings to more easily visualise, prioritise and acknowledge high volumes of tests results generated for patients every day, and to take appropriate action in a timely manner.

The issue of results not being acknowledged has become significant in healthcare systems around the world - posing risks including late or missed diagnosis for patients, potentially delayed treatment, and additional cost for healthcare systems.

Academic studies have revealed variation in the extent of the problem but in some cases, literature has shown as many as 62% of test results can go unacknowledged in inpatient settings, and as many as 75% in emergency departments (1). However, it is important to acknowledge that this is often a challenge caused by systems and processes used to manage results, rather than being the fault of busy clinicians.

Dr Paul Deffley, UK chief medical officer for Alcidion, said: "A billion laboratory tests alone are carried out in England and Wales each year at a cost of £2.2bn, many of them in hospital settings - where countless other scans and investigations are also carried out. Disparate ways that such high volumes of results are presented to busy clinicians within healthcare systems, can often create room for error that digital technologies haven’t adequately responded to until now.

"We aim to change that through Miya Results Tracking, which provides healthcare teams with a purpose-built mechanism to manage results more safely, at-scale, from a single screen. This is an important new capability for hospitals in reducing risks and in tackling what has become a critical patient safety issue around the world. It will equip clinical departments and individual clinicians with a digital safety net to help them quickly recognise and appropriately act on diagnostic information."

The solution works by bringing together and presenting patient results requested in hospital settings through a single screen. Clinical teams can access information from any location. They can filter results to departmental views, and can configure the system to look at relevant results, identify high-priority results that need to be actioned, or to see at-a-glance any outstanding results that need to be filed.

Results can also be filtered at an individual level - both for the clinician requesting tests, and at the patient level. This means clinicians can more easily ensure they have acknowledged and acted on results they have requested, and that decisions can be made for patients in context of a complete set of results.

Staff can create onward plans for patients from the same screen, ordering repeat or follow up examinations when needed, and requesting future review appointments.

Kate Quirke, Alcidion's CEO, said: "Hospitals need to manage many thousands of results in complex and busy environments. Through Miya Results Tracking, we have built a new capability to help support healthcare teams to do this more safely, whilst reducing the burden on busy clinicians under pressure. We believe this has the potential to help to address an important safety challenge in healthcare, and that strategically this has relevance to digital strategies being progressed in individual hospitals and across integrated care systems."

Built using the Miya Precision platform, Miya Results Tracking uses the FHIR interoperability standard to integrate with other hospital systems - allowing it to bring data into a single location for clinicians. It tracks a complete range of hospital results including pre-admission results, and those from inpatient and emergency department encounters. Results received after the patient leaves the hospital are also tracked, which is expected to address a complex challenge currently encountered in managing results after a patient has been discharged.

Miya Results Tracking can be deployed as part of a modular electronic patient record, or as a standalone solution, and can be used to enhance other technologies, such as a patient flow solution. For example, hospitals already using Alcidion's Miya Flow application, will be able to use the new capability to view and manage results from the digital patient journey board.

About Alcidion

Alcidion Group Limited (Alcidion) was founded with one simple belief, that is, smart technology can drive meaningful change.

Alcidion is delivering smarter solutions for clinicians and enabling our clients to harness the power of their data. Alcidion’s platform, Miya Precision, delivers real-time interoperable data to support digitally enabled care. Miya Precision delivers efficiencies in clinical decision making, and real-time health informatics which contributes directly to the safer delivery of healthcare.

Alcidion offers a fully integrated digital patient care platform including Patient Flow Management, a Clinical Decision Support (CDS) system, Electronic Patient Record (EPR) and Patient Administration System (PAS).

Since listing on the ASX in 2011, Alcidion has acquired multiple healthcare IT companies and expanded its foothold in the UK, Australia, and New Zealand to now service over 400 hospitals and 85 healthcare organisations, with further geographical expansion planned.

With over 20 years of healthcare experience, Alcidion brings together the very best in technology and market knowledge to deliver solutions that make healthcare better for everyone.

1. Callen J, Georgiou A, Li J, et al.. The safety implications of missed test results for hospitalised patients: a systematic review. BMJ Qual Saf 2011;20:194-9. 10.1136/bmjqs.2010.044339

Most Popular Now

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...

North West Anglia Works with Clinisys to…

North West Anglia NHS Foundation Trust has replaced two, legacy laboratory information systems with a single instance of Clinisys WinPath. The trust, which serves a catchment of 800,000 patients in North...

Can AI Techniques Help Clinicians Assess…

Investigators have applied artificial intelligence (AI) techniques to gait analyses and medical records data to provide insights about individuals with leg fractures and aspects of their recovery. The study, published in...

AI Makes Retinal Imaging 100 Times Faste…

Researchers at the National Institutes of Health applied artificial intelligence (AI) to a technique that produces high-resolution images of cells in the eye. They report that with AI, imaging is...

GPT-4 Matches Radiologists in Detecting …

Large language model GPT-4 matched the performance of radiologists in detecting errors in radiology reports, according to research published in Radiology, a journal of the Radiological Society of North America...

SPARK TSL Acquires Sentean Group

SPARK TSL is acquiring Sentean Group, a Dutch company with a complementary background in hospital entertainment and communication, and bringing its Fusion Bedside platform for clinical and patient apps to...