Key Highlights

In recent years, it’s come to light that America’s healthcare industry is suffering under some rather significant inefficiencies of scale. The key to overcoming the inefficiencies of scale today so prevalent across the healthcare service delivery landscape is the completion of strategic investment in digital transformation and more widespread adoption of artificial intelligence (A.I.)– enabled automation. 

Artificial intelligence (A.I.)-powered automation is increasing productivity and enhancing the efficiency of healthcare service delivery. Machine learning algorithms deliver intelligent automation that transforms the ability to manage larger datasets than would be possible using human intelligence. The incremental improvements that A.I.-driven healthcare automation will secure your organization’s competitive advantage in the years ahead. 

Hospitals currently contend with personnel shortages, financial challenges, and proper patient safety. Digital transformation for hospitals is challenging due to the myriad stakeholders involved, reluctance to move on from antiquated systems, and the perceived resource drain for onboarding. Custom software offers short- and long-term solutions for hospitals by integrating technology, streamlining administrative processes, and making communication and file sharing between stakeholders easier.

Despite spending as much as $4.1 trillion on healthcare in 2020, many metrics suggest Americans need better care than other industrial nations. Vast sums of money are being spent on healthcare. Still, persistent questions remain about whether those investments genuinely drive the patient-centrism and value-based care treatment modalities that have become such potent rallying points across the industry in recent years. 

Meanwhile, throughout the healthcare landscape, provider networks have struggled with skills shortages, staff burnout, retention, and attrition rates, making it extremely difficult to maintain business as usual and deliver patients the quality of care their organizations are known for. Enterprise leaders in healthcare are beginning to see clearly that it’s time to rethink priorities and work aggressively toward transforming their industry to achieve better outcomes for patients and the provider networks that serve them. 

According to research conducted by Humana Chief Medical Officer William Schrank and correlated by industry watchdog groups such as The Institute for Healthcare Improvement — as much as $1 trillion of all the money spent on healthcare in the United States on an annual basis is wasted across the following domains: 

  • Administrative complexity ($265.6 billion)
  • Pricing failure ($230.7 billion to $240.5 billion)
  • Loss of care delivery ($102.4 billion to $165.7 billion)
  • Overtreatment or low-value care ($75.7 billion to $101.2 billion)
  • Fraud and abuse ($58.5 billion to $83.9 billion)
  • Failure of care coordination ($27.2 billion to $78.2)

The key to overcoming the inefficiencies of scale today so prevalent across the healthcare service delivery landscape is the completion of strategic investment in digital transformation and more widespread adoption of artificial intelligence (A.I.)- enabled automation.

Implementing Artificial Intelligence-Enabled Automation is the Answer to Overcoming Inefficiencies of Scale Across the Healthcare Landscape

In light of all the challenges the healthcare industry has weathered in recent years, it’s become apparent that it’s time to shift away from reactive decision-making to fully embrace the true potential of more proactive operational decision-making capabilities. 

When hospital systems fail to manage staffing challenges proactively, they run into the staffing shortages and bottlenecks we have seen in recent years, severely limiting their ability to deliver the highest degrees of care to their communities. 

Inefficiency manifests across healthcare networks in the form of longer wait times, longer in-hospital stays, diversions, and patients choosing to forgo their treatment plans due to their lack of desire to interface with inconvenient and imbalanced clinical care systems. 

However, by better embracing strategic artificial intelligence-enabled automation, hospital leaders can have the ability to embrace proactive decision-making and the real-time visibility needed to make mission-critical decisions on the fly. 

Hospital networks can achieve a great deal by better leveraging the internal data and health technology solutions already at their organization’s disposal. The key is to truly embrace A.I.-enabled automation and the application of data-driven decision-making to produce vivid and accurate real-time models of current and future needs at every healthcare enterprise level. 

The key to making the most of health-related data is to build intelligent systems which are able to pull insights from the EHR, CRM, workforce management, and other health management technology solutions into a single source of truth to deliver genuine business intelligence insights that propel a much swifter and more agile operational decision making. 

A.I.-enabled automation and advanced data analytic-driven intelligence provide clinical care teams with the foresight to see what is happening in real-time. By providing executive leaders with real-time insights and automated operational decision-making suggestions based on those evidence-based findings, leaders are empowered to respond to adversity before it leads to more costly and detrimental efficiency losses. 

Operational decision-making is more relevant and essential to the success of healthcare enterprises than at any other time before. To maximize clinical outcomes, executive leaders must make intelligent decisions about resource allocation, staffing needs, discharge planning, and managing inpatient capacities. 

A.I.-enabled automation delivers the real-time visibility healthcare enterprises need to feel confident in their current decisions and their ability to continue making the best evidence-based choices to secure competitive advantages. 

Proactive, data-driven operational decision-making is necessary for America’s most competitive and fastest-moving healthcare service providers.

Advanced Artificial Intelligence Automation Use Cases for the Healthcare Industry

AI-driven automation adoption has the potential to drive 5-10% cost savings—roughly $200 billion to $360 billion annually in 2019 dollars —by 2027, according to a paper published by the  National Bureau of Economic Research

At the cutting edge of innovation in healthcare, intelligent automation, also known as hyper-automation, and cognitive automation are being leveraged alongside artificial intelligence capabilities such as: 

  • Machine learning (ML)
  • Edge A.I.
  • Digital Twin
  • Natural Language Processing (NLP)
  • Augmented Analytics
  • Optical Character Recognition (OCR)
  • Generative A.I.
  • Computer vision (CV)

Building Better Patient Journeys through Digital Health Systems

A.I.-powered chatbots using generative A.I. speech recognition and natural language processing transform how patients connect with medical resources. Machine learning is increasing the accuracy of communicative innovative assistant solutions to handle repetitive customer queries and empower patient-centered medical care by: 

  • Answer customer questions and provide conversational frameworks for handling a wide range of administrative and human resources tasks. 
  • A.I.-powered automation expedites data exfiltration and securely directs the flow of patient health information. 
  • Send updates to encourage patients to engage in their care and provide patient-generated health data. 
  • Provide a user-friendly and intuitive method of managing healthcare services using automated chatbot solutions.

Some benefits robotic process automation provides healthcare organizations: 

  • Improve Operational Efficiencies at Scale: Automation improves accuracy and delivers a quality culture of continuous improvement. 
  • Shift Focus of Work to More Complex Tasks: Healthcare organizations can save money on human capital by automating workflows and freeing top performers to handle more mission-critical tasks. 
  • Transform Healthcare Services: Automation powered by A.I. unlocks enterprise value and secures competitive advantage.

Deliver the Cybersecurity Best Practices Necessary for HIPAA Regulatory Compliance

Globally, cyberattacks increased by 38% in 2022 compared to 2021. Incidents of ransomware, phishing operations, and malware attacks targeting healthcare and resulting in losses of patient health information have reached a high water mark. 

Regal Medical Group, Cerebral, and Zoll Medical Corporation were just three healthcare and medical enterprises involved in hacking operations leading to data breaches. Failure to comply with HIPAA regulations can cost $100 to $100,000 for each violation. 

RPA empowers healthcare organizations to have a much deeper understanding of what is happening across their networks in real-time due to activity logs and processes in place to deliver HIPAA compliance.

Accelerate and Streamline RCM Processes

A.I.-driven automation saves healthcare organizations time and money by expediting complex claims processing demand with intelligent automation solutions: 

  • Robotic Process Automation significantly reduces the time and human capital expenditure needed to handle some of the most critical business processes for securing profitability. 
  • Intelligent bots deliver these clear benefits for healthcare businesses: 
    • Automate and optimize challenging and time-consuming manual tasks
    • Reduce instances of human errors working with large technical chunks of qualitative and quantitative data.
    • Expedite the time needed to exfiltrate critical data streams 
    • Detects instances of insurance fraud and malfeasance quicker.
    • Enhance the utility of generative A.I. and chatbots. 

Drive Healthcare Business Intelligence with Smart Automation of Data Analytics

Artificial intelligence-driven bots are transforming how healthcare professionals work with information to drive more effective medical decision-making. Advanced data analysis capabilities help doctors and clinical teams to understand their patients and deliver better medical outcomes. 

Here are some key areas where A.I. automation is improving healthcare operations management:

  • Healthcare business intelligence and data-driven medical decision making 
  • Data governance 
  • Medical care planning 
  • Discovery and clinical trials for new medications 

Are You Ready to Deliver A.I.-Enabled Automation to Your Healthcare Enterprise? 

Asahi Technologies is a New York-based firm that delivers holistic, cutting-edge technology solutions, and custom healthcare software development services for competitive healthcare organizations. 

Powered by a core leadership team with more than 45 years of combined experience, we leverage our proven technical proficiency and incisive domain knowledge to power successful digital transformation projects for our clients.

Our business is built on a hybrid model, allowing us to access the best international and US-based talent. With a client success team in our New York office and a project execution team based in Chennai, India, our clients benefit from a responsive, US-based project manager and dynamic offshore software development resources. 

This approach maximizes our ability to create value for businesses wherever they are in their project journey – from strategy to development and ongoing support.

Stay ahead of the game with our helpful resources

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Founder & Chief Strategist

Vinod is a deeply devoted digital health enthusiast who believes technology is a great enabler that provides the key to unlocking a better world. He is driven by a singular goal: to help healthcare organizations leverage technology to deliver better digital services for patients, providers, payers, and other community health stakeholders. His expansive computer science domain expertise, humanity, and commitment to community are major assets for healthcare, medical, pharmaceutical, and life science enterprises.