AI in Healthcare: Success Stories & Insights

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Over the past year, Ecosystm has conducted extensive research, including surveys and in-depth conversations with industry leaders, to uncover the most pressing topics and trends. And unsurprisingly, AI emerged as the dominant theme. Here are some insights from our research on the Healthcare industry.

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Click here to download ‘AI in Healthcare: Success Stories & Insights’ as a PDF

AI is transforming the healthcare industry, offering unprecedented opportunities to improve patient outcomes and streamline operations. However, the successful implementation of AI in healthcare is not without its challenges. Those who can navigate these complexities and harness the power of AI will emerge as industry leaders, driving innovation and shaping the future of healthcare.

Biggest AI Barriers in Healthcare

Despite the challenges, Healthcare organisations are witnessing early AI success in these 3 areas:

  1. 1. Diagnostics
  2. 2. Care Management
  3. 3. Operational Efficiency & Optimisation

Diagnostics

  • Image Analysis. Analysing medical images (e.g., X-rays, MRIs) to detect diseases and abnormalities
  • Diagnosis. Assisting clinicians in identifying and diagnosing diseases
  • Early Detection. Detecting diseases at an early stage for more effective treatment

“Diagnostics is where our AI journey began – starting with image analysis for eye diseases, evolving to x-ray screening tools, and most recently, investing in digital stethoscopes for our doctors and nurses.” CLINICIAN LEADER

Care Management

  • Clinical Decision Support. Providing clinicians with recommendations and insights to improve patient care
  • Personalised Treatment Plans. Personalising treatment protocols based on patient data and genetics
  • Chronic Disease Management. Monitoring chronic diseases over multiple years

“Clinical decision support isn’t new, but AI has revolutionised it by enabling the system to send alerts and warnings proactively, rather than only when prompted.”CLINICIAN LEADER

Operational Efficiency & Optimisation

  • Supply Chain Management. Optimising inventory and supply chain processes
  • Appointment Scheduling. Automating appointment booking and management
  • Workflow Optimisation. Streamlining workflows and improving efficiency of clinical staff

“Patient satisfaction extends beyond clinical outcomes.  Aspects like shorter waiting times during appointments, the availability of medications, and automated responses to common queries significantly enhance patient satisfaction. These are areas where we have successfully implemented AI.”COO

AI Research and Reports
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The Future of Healthcare: The Rise of AI Startups and Digital Innovation

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Healthcare delivery and healthtech have made significant strides; yet, the fundamental challenges in healthcare have remained largely unchanged for decades. The widespread acceptance and integration of digital solutions in recent years have supported healthcare providers’ primary goals of enhancing operational efficiency, better resource utilisation (with addressing skill shortages being a key driver), improving patient experience, and achieving better clinical outcomes. With governments pushing for advancements in healthcare outcomes at sustainable costs, the concept of value-based healthcare has gained traction across the industry.

Technology-driven Disruption

Healthcare saw significant disruptions four years ago, and while we will continue to feel the impact for the next decade, one positive outcome was witnessing the industry’s ability to transform amid such immense pressure. I am definitely not suggesting another healthcare calamity! But disruptions can have a positive impact – and I believe that technology will continue to disrupt healthcare at pace. Recently, my colleague Tim Sheedy shared his thoughts on how 2024 is poised to become the year of the AI startup, highlighting innovative options that organisations should consider in their AI journeys. AI startups and innovators hold the potential to further the “good disruption” that will transform healthcare.

Of course, there are challenges associated, including concerns on ethical and privacy-related issues, the reliability of technology – particularly while scaling – and on professional liability. However, the industry cannot overlook the substantial number of innovative startups that are using AI technologies to address some of the most pressing challenges in the healthcare industry.

Why Now?

AI is not new to healthcare. Many would cite the development of MYCIN – an early AI program aimed at identifying treatments for blood infections – as the first known example. It did kindle interest in research in AI and even during the 1980s and 1990s, AI brought about early healthcare breakthroughs, including faster data collection and processing, enhanced precision in surgical procedures, and research and mapping of diseases.

Now, healthcare is at an AI inflection point due to a convergence of three significant factors.

  • Advanced AI. AI algorithms and capabilities have become more sophisticated, enabling them to handle complex healthcare data and tasks with greater accuracy and efficiency.
  • Demand for Accessible Healthcare. Healthcare systems globally are striving for better care amid resource constraints, turning to AI for efficiency, cost reduction, and broader access.
  • Consumer Demand. As people seek greater control over their health, personalised care has become essential. AI can analyse vast patient data to identify health risks and customise care plans, promoting preventative healthcare.

Promising Health AI Startups

As innovative startups continue to emerge in healthcare, we’re particularly keeping an eye on those poised to revolutionise diagnostics, care delivery, and wellness management. Here are some examples.

DIAGNOSTICS

  • Claritas HealthTech has created advanced image enhancement software to address challenges in interpreting unclear medical images, improving image clarity and precision. A cloud-based platform with AI diagnostic tools uses their image enhancement technology to achieve greater predictive accuracy.
  • Ibex offers Galen, a clinical-grade, multi-tissue platform to detect and grade cancers, that integrate with third-party digital pathology software solutions, scanning platforms, and laboratory information systems.
  • MEDICAL IP is focused on advancing medical imaging analysis through AI and 3D technologies (such as 3D printing, CAD/CAM, AR/VR) to streamline medical processes, minimising time and costs while enhancing patient comfort.
  • Verge Genomics is a biopharmaceutical startup employing systems biology to expedite the development of life-saving treatments for neurodegenerative diseases. By leveraging patient genomes, gene expression, and epigenomics, the platform identifies new therapeutic gene targets, forecasts effective medications, and categorises patient groups for enhanced clinical efficacy.
  • X-Zell focuses on advanced cytology, diagnosing diseases through single atypical cells or clusters. Their plug-and-play solution detects, visualises, and digitises these phenomena in minimally invasive body fluids. With no complex specimen preparation required, it slashes the average sample-to-diagnosis time from 48 hours to under 4 hours.

CARE DELIVERY

  • Abridge specialises in automating clinical notes and medical discussions for physicians, converting patient-clinician conversations into structured clinical notes in real time, powered by GenAI. It integrates seamlessly with EMRs such as Epic.
  • Waltz Health offers AI-driven marketplaces aimed at reducing costs and innovative consumer tools to facilitate informed care decisions. Tailored for payers, pharmacies, and consumers, they introduce a fresh approach to pricing and reimbursing prescriptions that allows consumers to purchase medication at the most competitive rates, improving accessibility.
  • Acorai offers a non-invasive intracardiac pressure monitoring device for heart failure management, aimed at reducing hospitalisations and readmissions. The technology can analyse acoustics, vibratory, and waveform data using ML to monitor intracardiac pressures.

WELLNESS MANAGEMENT

  • Anya offers AI-driven support for women navigating life stages such as fertility, pregnancy, parenthood, and menopause. For eg. it provides support during the critical first 1,001 days of the parental journey, with personalised advice, tracking of developmental milestones, and connections with healthcare professionals.
  • Dacadoo’s digital health engagement platform aims to motivate users to adopt healthier lifestyles through gamification, social connectivity, and personalised feedback. By analysing user health data, AI algorithms provide tailored insights, goal-setting suggestions, and challenges.

Conclusion

There is no question that innovative startups can solve many challenges for the healthcare industry. But startups flourish because of a supportive ecosystem. The health innovation ecosystem needs to be a dynamic network of stakeholders committed to transforming the industry and health outcomes – and this includes healthcare providers, researchers, tech companies, startups, policymakers, and patients. Together we can achieve the longstanding promise of accessible, cost-effective, and patient-centric healthcare.

The Future of Industries

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Ecosystm Predicts: The Top 5 Healthcare Trends for 2021

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The Healthcare industry has had to pivot completely this year and 2021 will see it emerge a transformed industry. The impact will be seen on policies, how ecosystems evolve, and most obviously on healthcare provider organisations. COVID-19 has shifted the business priorities of healthcare providers and how these organisations invest and use technology. There will be another reset in 2021. However, given the immense impact of the pandemic, it would be near-impossible to restrict the prediction to only one year; and several of the trends will firmly define the industry way beyond 2021.

Ecosystm Advisors Aga Manhao, Arun Sethuraman, Krish Krishnan and Sash Mukherjee present the top 5 Ecosystm predictions for Healthcare Trends in 2021. This is a summary of the Healthcare predictions – the full report (including the implications) is available to download for free on the Ecosystm platform.

The Top 5 Healthcare Trends for 2021

  1. The Impact of COVID-19 on Public Health Will Create New Opportunities Well Beyond 2021

The impact of COVID-19 will be on all levels. Increasing pressure from patients will challenge healthcare providers (from primary through to tertiary) throughout 2021. There will be larger global impacts as well – average nourishment is likely to go down in most countries, and there will be lower average (seasonal) immune health in many countries.

This is not all doom and gloom – there will be new business opportunities. Enterprises and innovators will find opportunities in:

  • Supply Chain Arbitrage. Continued asymmetrical supply and demand will drive the movement of healthcare related goods and services across geographies.
  • Investment. Investments in pharma/ vaccine/ diagnostics manufacturing and distribution will be driven more by short-term horizons, defensive capacity building, and supply security concerns. Technology and IP acquisition by pharma and medtech leaders will also accelerate.
  • Innovation. COVID-linked gaps in health, immunity, nourishment, and lifestyles will lead to new products within foods, supplements, medications, and pharmaceuticals; and in tech-enabled personal devices and health monitoring apps or systems.
  • New Businesses. We will see an upsurge in demand and supply of alternative medicines and devices as well, although these may still not be accepted in conventional medicine.
  1. Healthcare Policies Will Focus on Product & Manufacturing Security and Supply Chain Control

The COVID-19 crisis has exposed the need for better collaboration and visibility of external resources to handle unprecedented scenarios. Governments in countries that have done well to manage the crisis took the vital step of encouraging and being the hub for cross-agency collaboration. Having a siloed view of resources and the supply chain is not sufficient in combating larger challenges. Healthcare policy makers will work towards a more collaborative, AI-driven, supply chain.

Some of the world’s largest economies have already begun to take steps to reduce manufacturing and supply chain dependencies in pharma, vaccines, diagnostics and medical devices. What has shown up as opportunistic stockpiling or supply chain arbitrage will become more entrenched. Various governments will either incentivise or centralise the establishment of manufacturing and long-term supply contracts for their countries.

  1. 2021 Will be a Breakout Year for Community Health

COVID-19 has significantly disrupted current standards of care for chronic diseases world-wide.  Frequency and necessity of patient visits to hospitals and clinics for routine checkups and minor interventions are being evaluated by healthcare planners and providers. There are concerns about the increasing cost of providing basic services, allocation of healthcare capacity to higher priority needs, and the need to reduce risk of exposure to the vulnerable population.

Telehealth and Digital Health technologies have seen a marked increase in adoption during the pandemic, but the real effectiveness of these solutions to solve a healthcare delivery problem is still emerging. We predict 2021 will be a breakout year for Community Health, powered by these two technologies. There will be an increased focus on building resilient communities and early warning systems. Number of visits to hospitals and clinics for routine observations will drop by 15-20% or even more. Privacy and Data security concerns will increase, and this will also lead to better policy and practices to address these concerns. 2021 promises to be a better year for coordinated community care. 

  1. Healthcare Providers Will be More Tech-Dependent Than Ever

In 2020, healthcare providers’ technology investments took off on unexpected trajectories and they have digressed from their technology and transformation roadmap. Many solutions would have gone through an initial ‘proof-of-concept’ without the formal rigours and protocols. Many of these will be adopted for longer term applications.

Healthcare organisations had to pivot their technology spending when COVID-19 hit. There were several changes that were required to be made, including implementing operational measures to ensure staff safety and cutting down on non-essential expenses. When it comes to digital initiatives, the key focus areas were evolving service delivery and empowering employees with the right technology for care delivery – often remote. What providers did not have the time or resources for was to digitalise processes and retain focus on their entire patient demography – and not just those impacted by COVID-19. In 2021, we see a clear indication that not only will their priorities be different, healthcare providers will ramp up their technology investments in all areas.

  1. Medtech and Providers Will Find New Synergies

Medical devices which generate clinical data and/or are driven by clinical data will attract greater investment and higher R&D expenditure; and will either dominate or begin to set the direction for future consumer devices in the Healthcare space.

The popularity of telehealth and digital health will put pressure on healthcare providers to further draw data-driven insights from personal devices. They are likely to mandate the devices that they would be willing to use the data from They will have greater power to demand Interoperability and operating system convergences in the next few years from device developers and manufacturers.

2021 will see an increased use of devices such phones, bracelets and even anklets to track the spread of COVID-19. It will also see the transition of the smartphone to a medical device. The collection, sharing of data, running AI/machine learning will make our smartphones an integral part of remote patient management. 


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