Worker Fatigue

Workforce Fatigue Management

It was around two years ago that Anita knew that she’d had enough. However, the ensuing two years had passed so quickly repeating the same task over and over again. 

So here she was again.

Anita is the workforce manager at a company which manages a large temporary, contracted, part time and/or casual workforce. They carry out a set of known tasks, some of which require qualifications, many of which don’t. In any given week, she will be juggling her Excel sheet and a phone to desperately contact replacements for people who call in sick that day while ensuring that any replacement doesn’t violate any of their strict fatigue requirements. 

Although fast paced, it’s not the type of fast paced that she had hoped for as most of it was trying to carry out tasks which can be easily automated. So why not automate?

The reality with Anita’s work is that it can be automated and there do exist tools which can do most of her job and actually make both her as well as her rostered employees’ lives better. Anita could spend less time manually carrying out error prone tasks and, simultaneously, her rostered employees could get the shifts they want – meaning less work for Anita having to offboard unhappy employees.

By automating the error prone and repetitive tasks, this would leave Anita more time to more accurately cost up rostering jobs, better manage her staff so the good people keep coming back and focus on more strategic aspects of rostering.

The dream state.

Biarri’s Workforce Fatigue Management Rostering Tool

Biarri’s Workforce rostering tool was built to solve problems exactly like Anita’s. It was designed for companies which have built their success off the back of flexible Excel sheets, however, have now outgrown them. The tool excels when the workforce has become too large or too variable and the rules too complex to efficiently allocate people to the required work in a way that keeps everyone happy.

This was a situation faced by one of Biarri’s partners, Field Mining Services. Their process was Excel driven like most companies in the region and required a lot of manual work and time intensive copy of data between spreadsheets. 

In addition, customer rules/regulations and reporting obligations were a major pain point, with countless hours spent working with Excel and Word to create reports manually. 

However, the real pain point arose when you had many users working in a single Excel spreadsheet causing significant errors and delays for the team who were trying to understand who made the change which broke everything.

These challenges triggered a roster to invoice overhaul which Biarri assisted to complete by configuring its workforce tool to make it optimally suited to FMS’ situation.

The team at Biarri were fantastic to work with. They really listened to the pain points of our business and delivered a fit solution.” – Field Mining Services

Workforce Fatigue Management Tool Capabilities

At its core Biarri’s Workforce tool is built to take the complexity out of rostering by allowing a powerful optimisation engine to do the high quality rostering for you. The engine automatically and dynamically creates compliant and desirable rosters. 

When creating the rosters, the engine takes into account fatigue and EBA requirements. The EBA and fatigue management capabilities are able to take into account things like enforced breaks after working certain periods depending on: 

  1. Location
  2. Type of work
  3. Time of work
  4. Length of work
  5. And more 

As well as many other similar rule types.

Biarri’s Workforce tool allows the bespoke configuration of a rich set of constraints suitable to any industry. When it comes to managing a highly flexible workforce (comprising many part timers, casuals and contractors), the engine can optimally look at options and do things like sharing employees across locations to improve flexibility. The benefits are:

  1. Smooth out demand, and the resulting work, to better distribute tasks to people who don’t have enough work to do in one location or too much in another
  2. Resolve skill mix requirements at a location where key skills are missing
  3. Reduce the amount of onboarding, hiring and redundancies of staff due to more flexible use of staff
  4. Create a better employee experience by creating the flexibility to cater to staff needs
  5. And more

The functional user interface allows the easy management of flexible and continually changing rosters for staff, for example, when employees call in sick.

As well as being capable of catering to complex work requirements, the tool employs modern web based technologies to integrate seamlessly via REST APIs into payroll and T&A tools. This means you can avoid complex integrations and replacements of existing tools. 

The Biarri Workforce Rostering Application integrates into any stack with predefined interfaces.

Typical Outcomes

So what are the benefits of using optimisation and automation to do your rostering? For customers like Field Mining Services it is:

  • Better workforce fatigue management
  • A complete understanding of the value chain from mine to port
  • Substantially increased compliance with site specific access rules including fatigue, D&As, and site specific qualifications.
  • Increased visibility of workforce fatigue across multiple job sites.
  • Significantly reduced overall administration effort
  • The ability to tackle the next phase of growth with certainty around one of the most challenging areas – staff and fatigue management
  • Transparency across all departments and a single source of truth.

In other industries we have also seen benefits with improved employee engagement and experience by being able to take into account employee preferences and desires and then automatically catering to these needs. This leads to employers becoming employers of choice and staff bringing their experience and good habits back to your organisation instead of another casual staff provider. 

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The Biarri Score: Predictive Analytics for better integrated healthcare

Many Health and Hospital services around the world have introduced integrated care activities to coordinate Primary (Community and GPs) and Secondary (Hospitals) care levels in order to increase the effectiveness of care being provided at all levels. 

Biarri delivered a predictive data analytics solution which successfully identified hospital patients in the community who were most likely to readmit to hospitals. Statistical analysis proved the Biarri Solution is able to identify the top 1% of the population at risk of hospitalisation with 90% accuracy.

In January 2018, Ron Calvert, the CEO of Gold Coast Health and Hospital Services (GCHHS) was in the news recognising Biarri’s predictive analytics in the form of a ‘Biarri Score’, which predicts an individual’s likelihood of readmission to hospital with ‘remarkable levels of accuracy’. Check out the article here.

The Biarri Score is now in place in the Gold Coast University Hospital emergency department. Also, patient criticality scores are integrated into local GP practices to provide intra-facility collaboration of healthcare services and prevent unnecessary admissions.

This application of Commercial Mathematics has resulted in increasingly better identification of patient who are likely to readmit, in order to improve the effectiveness of the Integrated Care activities and reduce demand on emergency departments.

 

Get in touch to learn more about Biarri’s Predictive Analytics capability or to learn more about applicaitons of Commercial Mathematics in other areas!

Biarri -Hospital and Health Services

Trimming away hospital costs: A bi-product of saving lives with statistics

Healthcare service delivery in most systems can be described as fragmented at best. In many healthcare systems, there has been very little continuity of care and integration for services provided by General Practices (GP), Hospital and Health Services (HHS) and other healthcare providers. Integrated Care is a worldwide trend in healthcare reforms that focuses on co-ordinating these different services.

Read more

Health Analytics

Analytics, just what the doctor ordered

Can Analytics and Optimisation be ‘Just what the Doctor ordered’ for struggling Australian Hospitals and Health Services?

In Australia consumers have more access to information than ever before and are demanding increasing accountability from their doctors, nurses health plans and, better health care quality. The Hospital and Health Services (HHS) industry despite struggling under the weight of an ageing population, a shortage in doctors and nurses, increased regulation, accountability, governance and budgetary oversight, are continually required to provide more with less.

The healthcare industry requires smarter, more informed decisions to enable improved efficiency, better service delivery and enhanced patient outcomes.

Research in 2012 by IBM into the Healthcare Industry in the US confirmed mounting evidence of entrenched inefficiencies and sub-optimal clinical outcomes. The report highlighted how building an analytics focus can help these Health organisations harness “big data” to create actionable insights, set their future vision, improve outcomes and reduce time to value.

The authors note that the abundance of data that bombards healthcare professionals both facilitates and complicates the ability of healthcare providers to achieve and influence desirable outcomes. It appears clear that entrenched systemic inefficiencies in the health systems are at least in part attributed to the ineffective gathering, sharing and use of information

The glut of information makes it hard to differentiate data which can be used to generate powerful insights, from clutter. In fact, the dilemma presented by too much data and too little insight – is cited in the research as an increasingly daunting obstacle standing in the way of better service delivery and improved patient outcomes.

The daunting challenges facing the healthcare industry today make for compelling arguments to expand the role of analytics

The study confirmed that analytics can provide the mechanism to sort through this mountain of complexity and data, and help healthcare organizations deliver on efficiency improvements and better patient outcomes. In Australia the introduction of Activity Based Funding (ABF) has promoted the use of data as the essential input informing critical decisions by Managers, Administrators and Clinicians. Not surprisingly HHS are increasingly looking to move from data processing to data analysis and applying insights to financial outcomes. Australian HHS are just starting to recognise how the power of mathematics through analytics and optimisation can be utilised to consume, unlock and apply new insights from information.

Analytics can provide the mechanism to sort through this mountain of complexity and data

Despite the availability of new methods of analytics that can be used to drive clinical and operational improvements, Australian HHS continue to function with a traditional baseline of transaction monitoring using basic reporting tools, spreadsheets and application reporting. As in the US Health system Australian HHS must face-up to the challenge to move from the traditional model to one that incorporates predictive analytics and enables organizations to “see the future,” and create more personalised healthcare and predict patient behavior.

Advanced analytics and optimisation approaches can take full advantage of the ‘Data deluge’ to generate powerful insights which deliver better outcomes

Today, most HHS use some form of descriptive analytics. They are typically using reporting tools and applications descriptively to understand what has happened in the past and to classify and categorize historical data. However, as their analytics expectations mature, HHS are looking more toward predictive analytics techniques, which take an understanding of the past to predict future activities and model scenarios using simulation and forecasting. The report notes that Enterprise analytics, evidence-based medicine and clinical outcome analytics can all be supported by these more advanced capabilities. For example, analytics can enable the compilation of information about trends, patterns, deviations, anomalies and relationships and reveal key insights.Biarri Optimisation Software Banner

Some Hospital and Health Services are taking a proactive approach

Gold Coast University Hospital (GCUH) is one example of an Australian HHS organisation leading the way by embracing predictive analytics to improve demand for better service delivery and enhanced patient outcomes. Most recently Biarri Optimisation worked with GCUH to enhance their understanding of expected future demand and to develop insight into opportunities to better allocate resources. Through the application of customised predictive analytics and optimisation GCUH improved their knowledge of forecasted demands for the next Financial Year, allowing improved capacity planning requirements for physical resources and staffing resources equating to better workforce optimisation.

Biarri and GCUH demonstrated the value of quantitative analysis in forecasting patient admissions and QWAUs and used this to provide more efficient capacity and resource planning.

For most organisations today, data visualisation, historic trend analysis and forecasting, and standardized reporting are the analytics elements that provide the most value. However, that is likely to change. The research showed that while data visualisation will always be a critical element, increased emphasis will be placed on simulations and scenario development and analytics that are applied within various business processes.

Biarri Commercial Mathematics

To learn more about how Biarri can help your HHS organisation benefit from advanced analytics and optimisation go to www.biarri.com or contact

Sam Rowse: Email: sam.rowse@biarri.com, Mobile: +61 458 004 220

Biarri diagnosing Hospital and Health Services

A major part to the national health reform act 2011, was the implementation of national activity based funding (ABF) for Australian Public Hospitals. The model provides incentives to hospitals showing initiative and leadership in transparency in the delivery and funding of Hospital and Health Services across Australia.

The problem that many hospitals are now facing is that they use a limited form of descriptive analytics. Hospitals are typically using tools that aggregate and classify historical data however lack the rigor and skillset to predict future demand, trends or patterns.

The Gold Coast University Hospital approached Biarri to assist in forecasting demand for the next financial year. Being under external and internal pressure with new government rules and regulation around ABF, it was imperative that they could properly determine future demand and act on any issues or opportunities.

To optimise their capacity planning efforts, Biarri has developed a tool that allows GCUH understand their data through the application of customised predictive analytics and optimisation through our cloud based platform – Biarri Workbench.

If you feel as though Biarri could help you, feel free to get in touch

Tom Forbes, Chief Executive officer
E: tom.forbes@biarri.com PH: 0408 703 436
Sam Rowse, Chief Sales Officer
E: sam.rowse@biarri.com ph: 0458 004 220