We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

AI-Powered Chatbots Drive Global Savings of USD 3.6 Billion by 2022

By HospiMedica International staff writers
Posted on 30 Oct 2017

Annual cost savings derived from the adoption of chatbots in healthcare could reach USD 3.6 billion globally by 2022, up from an estimated USD 2.8 million in 2017, marking an average growth of 320% per annum, as AI (artificial intelligence) powered chatbots will drive improved customer experiences for patients. Patients will be able to use sophisticated chatbot systems to access care more quickly and easily, thereby improving access to care and reducing pressure on overworked healthcare systems by ensuring more efficient interactions.

These are the latest findings of Juniper Research (Hampshire, UK), a provider of research and analytical services to the global hi-tech communications sector.

Chatbots, when used to triage patients, can have a dramatic impact on healthcare efficiency. However, chatbots face significant challenges in developed healthcare systems, such as those in the US and UK. Systems in a mature stage of development are usually more conservative in introducing new technology than others, thus resulting in inefficient care. This conservatism is expected to slow down the adoption of chatbot in comparison to the emerging markets such as China and India, where small-scale deployments are already taking place.

Over the next five years, chatbot deployment will be dominated by the Far East and China, with over half of the annual savings realized by chatbots to be contributed by this region in 2022. The varied quality of care in countries such as China will make chatbots useful for directing patients to appropriate services, thereby driving their adoption.

Service providers need to focus on overcoming the current poor level of interoperability of many healthcare IT systems in order to enable chatbots to unlock the full benefits possible. Additionally, data security also remains critical for maintaining patient trust.

Related Links:
Juniper Research

Visit expo >

Gold Member

12-Channel ECG

CM1200B

Antipsychotic TDM Assays
Saladax Antipsychotic Assays

New

Surgical Dressing

ALLEVYN Ag+ SURGICAL

New

Medical-Grade Display

HL2316SHTB

Latest Business News

Channels

Artificial Intelligence

view channel

AI Analysis of Pericardial Fat Refines Long-Term Heart Disease Risk

Accurately identifying long-term cardiovascular disease risk in asymptomatic adults remains challenging for clinicians. Missed or underestimated risk delays preventive therapy and increases the chance... Read more

Machine Learning Approach Enhances Liver Cancer Risk Stratification

Hepatocellular carcinoma, the most common form of primary liver cancer, is often detected late despite targeted surveillance programs. Current screening guidelines emphasize patients with known cirrhosis,... Read more

Image: connected devices offer new possibilities in the early detection of abnormalities or changes in brain health (Photo courtesy of 123RF)

New AI Approach Monitors Brain Health Using Passive Wearable Data

Brain health spans cognitive and emotional functions and can fluctuate even in adults without diagnosed disease. Detecting early changes remains difficult in routine care and burdens specialty services... Read more

$Image: Study procedure flow chart. After patients with BSI were identified from microbiology databases, 27 patients\' characteristics were extracted from electronic health records. After the dimension of those variables was reduced with Uniform Manifold Approximation and Projection (UMAP), k-means++ was used to identify clusters. Three clinically distinct clusters were identified. Among those clusters, patients were divided into solid organ transplant (SOT) and non-SOT groups. Clinical characteristics and outcomes were evaluated (Masayuki Nigo et al., American Journal of Transplantation (2026). DOI: 10.1016/j.ajt.2025.10.019)$

AI Tool Maps Early Risk Patterns in Bloodstream Infections

Bloodstream infections can deteriorate rapidly and carry high mortality, especially in immunocompromised patients. Clinicians need reliable early risk stratification to prioritize monitoring and organ support.... Read more

Critical Care

view channel

Noninvasive Monitoring Device Enables Earlier Intervention in Heart Failure

Hospitalizations for heart failure with preserved ejection fraction (HFpEF) remain common because lung congestion often worsens before symptoms prompt treatment changes. Missed early decompensation... Read more

Automated IV Labeling Solution Improves Infusion Safety and Efficiency

Medication administration in high-acuity settings is often complicated by multiple concurrent infusions, making accurate line identification essential. In a 10-hospital intensive care unit study, 60% of... Read more

First-Of-Its-Kind AI Tool Detects Pulmonary Hypertension from Standard ECGs

Pulmonary hypertension is a progressive, life‑threatening disease that is frequently missed early because symptoms such as dyspnea are nonspecific and diagnostic delays can exceed two years.... Read more

Routine Blood Pressure Readings May Identify Risk of Future Cognitive Decline

Hypertension is a major contributor to vascular aging and dementia, yet routine clinical workflows rarely flag neurocognitive risk early. Identifying patients at risk before symptoms appear could support... Read more

Surgical Techniques

view channel

Ultrasound Technology Aims to Replace Invasive BPH Procedures

Benign prostatic hyperplasia (BPH) is a frequent cause of lower urinary tract symptoms in aging men and often requires invasive procedures or prolonged recovery. With prevalence expected to rise as populations... Read more

Continuous Monitoring with Wearables Enhances Postoperative Patient Safety

Postoperative hypoxemia on general surgical wards is common and often missed by intermittent vital sign checks. Undetected low oxygen levels can delay recovery and raise the risk of complications that... Read more

Image: Figure shows biofabrication of scaffold-free customizable modular shapes for tissue engineering (photo courtesy of Stanford University Department of Cardiothoracic Surgery)

New Approach Enables Customized Muscle Tissue Without Biomaterial Scaffolds

Volumetric muscle loss is a traumatic loss of skeletal muscle that often leads to permanent functional impairment and limited reconstructive options. Current experimental strategies struggle to deliver... Read more

Handheld Robotic System Expands Options for Total Knee Surgery

Orthopedic teams vary in their adoption of robotics, with some surgeons favoring intraoperative decision-making and a manual instrument feel, while others rely on preoperative, computed tomography–based... Read more

Patient Care

view channel

Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation

Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read more

Image: The revolutionary automatic IV-Line flushing device set for launch in the EU and US in 2026 (Photo courtesy of Droplet IV)

Revolutionary Automatic IV-Line Flushing Device to Enhance Infusion Care

More than 80% of in-hospital patients receive intravenous (IV) therapy. Every dose of IV medicine delivered in a small volume (<250 mL) infusion bag should be followed by subsequent flushing to ensure... Read more

Image: A screengrab from the VR training module that shows invisible contamination on portable medical equipment (Photo courtesy of Mass General Brigham)

VR Training Tool Combats Contamination of Portable Medical Equipment

Healthcare-associated infections (HAIs) impact one in every 31 patients, cause nearly 100,000 deaths each year, and cost USD 28.4 billion in direct medical expenses. Notably, up to 75% of these infections... Read more

Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel

mage: The EHR–driven tool could help doctors intervene earlier to protect transplanted kidneys (Photo courtesy of 123RF)

EMR-Based Tool Predicts Graft Failure After Kidney Transplant

Kidney transplantation offers patients with end-stage kidney disease longer survival and better quality of life than dialysis, yet graft failure remains a major challenge. Although a successful transplant... Read more

Image: A wearable sweat sensor based on the core–shell nanoparticle technology (Photo courtesy of Caltech)

Printable Molecule-Selective Nanoparticles Enable Mass Production of Wearable Biosensors

The future of medicine is likely to focus on the personalization of healthcare—understanding exactly what an individual requires and delivering the appropriate combination of nutrients, metabolites, and... Read more

Image: Smartwatches could provide more affordable and accessible cardiac monitoring (Photo courtesy of 123RF)

Smartwatches Could Detect Congestive Heart Failure

Diagnosing congestive heart failure (CHF) typically requires expensive and time-consuming imaging techniques like echocardiography, also known as cardiac ultrasound. Previously, detecting CHF by analyzing... Read more

Image: Schematic diagram of a wireless, skin-contact system that simultaneously measures biosignals and delivers drugs (Photo courtesy of DGIST)

Versatile Smart Patch Combines Health Monitoring and Drug Delivery

As the global population ages, the need for personalized healthcare is becoming increasingly important. This shift has fueled a growing interest in wearable medical devices that can provide real-time health... Read more

Point of Care

view channel

Image: The Nevisense uses a non-invasive procedure that combines EIS technology with AI to provide in-depth skin analysis (photo courtesy of SciBase)

AI-Enabled Platform Supports Clinical Decision-Making in Melanoma Detection

Visual examination remains the foundation of dermatologic assessment for suspicious skin lesions, and many dermatologists are confident using clinical and dermoscopic techniques. However, studies show... Read more