Explore the Top 10 Digital Health Trends and Innovations [2026]

Executive Summary: What are the Top 10 Digital Health Trends in 2026 & Beyond?

1. Personalized Healthcare: Healthcare delivery increasingly uses genomics, biometrics, and patient data to tailor treatments.
2. Artificial Intelligence: AI accelerates diagnostics, decision support, and workflow automation. Machine learning models analyze imaging, EHRs, and clinical notes to detect patterns beyond human capacity.
3. Triage & Telehealth Solutions: Virtual care platforms triage symptoms, route patients to appropriate care, and support remote consultations. Telehealth reduces barriers to access and wait times.
4. Remote Patient Monitoring (RPM): It uses connected devices to continuously collect health data outside clinical settings. Physicians monitor vitals, detect early warning signs, and intervene before conditions escalate.
5. Robotics: Healthcare robots assist with surgery, rehabilitation, and logistics. Surgical robots improve precision and reduce recovery times.
6. Wearables: Wearable sensors track activity, sleep, vital signs, and physiologic metrics in real time. Data feeds into digital health platforms to inform lifestyle and clinical decisions.
7. Mental Wellbeing Solutions: Digital mental health platforms deliver screening, therapy, and self-care tools. Mobile apps and chat-based interventions increase accessibility to behavioral health support.
8. Chronic Disease Management: Integrated digital tools support long-term management of conditions like diabetes, hypertension, and COPD.
9. Digital Therapeutics (DTx): These evidence-based software interventions prevent, manage, or treat disease. Often delivered via apps or clinical platforms, DTx solutions target addiction, metabolic disorders, and neurologic diseases.
10. Digital Health Assistants: AI provides health education, symptom guidance, and medication reminders. Chatbots further support patient engagement, reduce clinician workload, and enhance navigation of health systems.

Read on to explore each trend in depth – uncover key drivers, current market stats, cutting-edge innovations, and leading digital health innovators shaping the future.

Methodology: How We Created the Digital Health Trend Report

For our trend reports, we leverage our proprietary StartUs Insights Discovery Platform, covering 9M+ global startups, 25K technologies & trends, plus 190M+ patents, news articles, and market reports.

Creating a report involves approximately 40 hours of analysis. We evaluate our own startup data and complement these insights with external research, including industry reports, news articles, and market analyses. This process enables us to identify the most impactful and innovative trends in the digital health industry.

For each trend, we select two exemplary startups that meet the following criteria:

• Relevance: Their product, technology, or solution aligns with the trend.
• Founding Year: Established between 2020 and 2026.
• Company Size: A maximum of 200 employees.
• Location: Specific geographic considerations.

This approach ensures our reports provide reliable, actionable insights into the digital health innovation ecosystem while highlighting startups driving technological advancements in the industry.

Innovation Map outlines the Top 10 Digital Health Trends & 20 Promising Startups

For this in-depth research on the Top Digital Health Trends & Startups, we analyzed a sample of 5300+ global startups & scaleups. The Digital Health Innovation Map created from this data-driven research helps you improve strategic decision-making by giving you a comprehensive overview of the digital health industry trends & startups that impact your company.

Tree Map reveals the Impact of the Top 10 Digital Health Trends

Based on the Innovation Map, the Tree Map below illustrates the impact of the Top 10 Digital Health Trends in 2026. These trends increasingly focus on data-driven, patient-centric care models that improve access, efficiency, and clinical outcomes across healthcare systems.

Personalized healthcare applies genomics, biomarkers, and real-world patient data to tailor prevention and treatment pathways. AI supports diagnostics, clinical decision-making, and administrative automation.

Triage and telehealth solutions streamline access to care, while remote patient monitoring enables continuous tracking of vital signs outside clinical settings. Mental well-being solutions expand access to behavioral health services through digital platforms.

Chronic disease management platforms further improve adherence and long-term outcomes using connected care models. Digital therapeutics deliver evidence-based software interventions for disease treatment, while digital health assistants support patient engagement.

Global Startup Heat Map covers 5300+ Digital Health Startups & Scaleups

The Global Startup Heat Map showcases the distribution of 5300+ exemplary startups and scaleups analyzed using the StartUs Insights Discovery Platform. It highlights high startup activity in Western Europe and the United States, followed by India. From these, 20 promising startups are featured below, selected based on factors like founding year, location, and funding.

Want to Explore Digital Health Innovations & Trends?

Top 10 Emerging Digital Health Trends [2026 and Beyond]

1. Personalized Healthcare: Personalized Cancer Treatment are 30% more effective

The number of smartphone users in the world was estimated at 4.3 billion in 2023. This is set to provide a massive user base for mobile health applications and personalized tools. The widespread adoption of smartphones and other wearables propels the digital health market forward with personal health insights and remote monitoring capabilities.

Additionally, the rising prevalence of chronic and complex diseases like cancer, diabetes, cardiovascular, and rare genetic disorders drives growth in the personalized healthcare sector. This allows for long-term, tailored treatment strategies rather than one-size-fits-all protocols.

Further, genomic testing and biomarker-based diagnostics facilitate personalized treatment plans. The increased access and reduced costs of genetic sequencing are major drivers for personalized health. This enables targeted therapies and predictive risk profiling globally.

A synthesis of genomically matched cancer treatment reports more than 30% response rates in precision medicine arms versus 4.9% in non-personalized treatments. Similarly, personalized hypertension management achieved target blood pressure control in 85% of patients versus 65% with standard care.

The global personalized medicine market is expected to increase from USD 654.46 billion in 2025 to USD 1.31 trillion in 2034, growing at a compound annual growth rate (CAGR) of 8.1%.

Zymedics offers AI-generated Personalized Treatment Plans

UAE-based startup Zymedics develops an AI-powered healthcare platform that generates personalized treatment plans. It integrates clinical data, genetic testing, and machine learning analysis.

The platform processes patient inputs like symptoms, medical history, and pharmacogenomic test results with proprietary algorithms to identify optimal care pathways and drug compatibility.

Further, the platform utilizes AI models trained on large, anonymized datasets to predict treatment responses and disease risks. This enables physicians to make data-driven decisions with greater accuracy.

Its clinical workflow includes automated symptom assessments, test recommendations, and doctor-reviewed AI-generated care plans. This ensures precision and regulatory oversight.

Additionally, Zymedics offers continuous digital monitoring that tracks patient adherence and outcomes by providing real-time feedback loops for timely interventions. The startup offers a scalable, proactive healthcare solution that improves treatment efficacy, reduces adverse reactions, and drives preventive care.

Wellpro enables Personalized Preventive Care

US-based startup Wellpro provides an AI-native clinical infrastructure that powers personalized and preventive healthcare through unified, data-driven intelligence. It integrates longitudinal patient data from health records, labs, wearables, genomics, diagnostics, and lifestyle sources into an interoperable platform.

The platform applies adaptive algorithms and workflow automation for clinicians to generate individualized care protocols grounded in root cause understanding rather than symptom management. It simplifies care delivery and improves patient outcomes through high-context decision support.

As a result, the startup converts fragmented health data into a dynamic and transparent model of each patient. This establishes a foundation for predictive health, adaptive clinical intelligence, and digital health twins.

2. Artificial Intelligence: 22% Companies use Domain Specific AI

AI use has gone from being tested to being a key part of how hospitals, clinics, and digital health platforms work.

By the end of 2025, more than 22% of healthcare companies throughout the world have used domain-specific AI technologies. This was a sevenfold increase from the year before and makes healthcare one of the fastest-growing areas for AI.

The global AI in healthcare market is set to reach USD 505.59 billion by 2033, growing at a CAGR of 38.8%. These numbers show AI is becoming essential for things like clinical documentation, diagnostics, workflow automation, and getting patients involved.

AI-based ambient scribes, which write down and organize clinical notes, are currently used by up to 90% of doctors in top institutions. These tools lower the time it takes to write down information significantly. This allows doctors to avoid burnout and get more patients through.

In 2025, digital health companies that used AI got 62% of the funding in 2025. These companies, on average, raised USD 34.4 million in funding per round. This is a whopping 83% premium compared to the USD 18.8 million of their non-AI-enabled counterparts.

As 2026 goes on, AI’s role in digital health is changing from being a new thing to becoming a must-have. It is making care more personalized, predictive, and efficient, and it is also changing how healthcare systems work on a large scale.

Daiser supports Healthcare Application Development

UK-based startup Daiser offers a no-code digital health platform that enables individuals and healthcare providers to design and deploy intelligent healthcare applications.

Its modular architecture allows users to assemble pre-built or custom modules. The platform also integrates conversational agents and image recognition, as well as connects external data sources (including wearables) to automate key processes.

The platform’s AI for real-time data processing and analytics ensures that applications deliver responsive and data-driven health management experiences. With privacy and security embedded by design, it upholds healthcare compliance standards and safeguards sensitive medical information.

Lifosys simplifies Healthcare Data Analysis

Indian startup Lifosys builds AI-driven healthcare data analytics platforms that enhance clinical operations and enhance decision-making in medical ecosystems.

Its core platform integrates AI with secure data processing to automate diagnostics, consultation, discharge, and logistics workflows. For instance, OXZYGEN delivers 87% diagnostic accuracy, while VOICEMED captures 85% of clinical data hands-free.

Further, SHAREDLOCKER ensures HIPAA-compliant document management via end-to-end encryption, and SUMMARYZ generates audit-ready discharge summaries quickly.

WHAZZLE and BOXTAP extend digital engagement and supply chain visibility by connecting over 1000 pharma distributors for 24-hour delivery tracking.

With these platforms, Lifosys empowers care providers to convert raw health data into actionable intelligence. This improves patient outcomes and operational efficiency across the global digital healthcare landscape.

3. Triage & Telehealth Solutions: 30% of US OP Visits are Virtual

Triage and telehealth technologies change how health systems assess, route, and deliver treatment. After the pandemic-driven rise, the use of telehealth didn’t go down. It leveled out at about 6-7% of all evaluation and management visits.

This stabilization means that operations are returning to normal, where virtual care works alongside in-person services. It also supports hybrid care delivery models instead of being a temporary replacement.

Further, telehealth already accounts for more than 30% of outpatient visits by 2025 in the US, especially for chronic disease and mental health.

Pressure on the workforce is a big reason for this change. There will be a shortage of 86 000 physicians in the US by 2036. This is why providers are using digital triage systems that put cases in order of severity and clinical urgency.

AI-powered symptom checkers, virtual triage led by nurses, and asynchronous intake technologies reduce unnecessary trips to the emergency room and send less serious cases to virtual consultations instead.

Research, including 35 million patient records, demonstrates that the majority of telehealth consultations do not necessitate in-person follow-ups within 90 days. This signifies enhanced care routing efficiency and less duplication of clinical efforts.

The global telehealth market is expected to reach USD 1.27 trillion by 2034, growing at a CAGR of 24.6%.

Corvus offers Intelligent Triage

US-based startup Corvus Health provides an AI-powered surgical referrals management platform. It automates the surgical consult intake with intelligent triage, real-time data ingestion, predictive analytics, and provider scheduling.

The platform analyzes structured data, like electronic health records (EHRs) and claims, and unstructured data, including referrals, notes, and imaging, to generate diagnosis-specific questionnaires and task lists instantly.

It also utilizes AI decision support to determine whether a patient requires surgical consultation, identify the most appropriate subspecialist, predict surgery types, and optimize operating room utilization.

The platform autonomously prioritizes tasks based on urgency and documentation readiness. This way, the startup enhances workflow for staff and ensures surgeons see only patients who need their expertise.

VideoMed enables Virtual Consultations

VideoMed is a startup based in South Africa that provides a virtual consultation platform. It connects patients with licensed doctors, pharmacists, and nurses across Southern Africa through secure, real-time video sessions.

It enables patients to schedule appointments online, after which healthcare professionals join them in a virtual treatment room to conduct consultations. The platform also issues digital prescriptions and manages follow-ups.

Moreover, the platform ensures data security by adhering to HIPAA and national privacy standards while integrating EHRs that maintain continuity of care across visits. With streamlined appointment scheduling, e-prescriptions, and centralized patient records, the startup simplifies medical access and optimizes patient-practitioner collaboration.

4. Remote Patient Monitoring: Market to Reach USD 57B by 2030

The ability to remotely collect physiological data like heart rate, blood pressure, glucose levels, and oxygen saturation makes it possible to intervene in a clinical setting sooner and cuts down on unnecessary hospital visits.

Reimbursement-backed scale is a big reason why RPM is becoming more popular. In 2024, Medicare and Medicare Advantage spent more than USD 500 million on RPM, which is more than 30% more than the year before.

Almost a million people now get RPM services, which means that remote monitoring is no longer only a test program but is already part of regular clinical procedures.

Nearly 4600 medical practices in the US regularly charge RPM codes. This shows that many providers are using them and that RPM is becoming standard practice in primary care, cardiology, pulmonology, and post-acute care pathways.

Gains in operational efficiency speed up adoption even more. RPM programs allow patients with chronic diseases (including COPD, diabetes, and heart failure) to take charge of their own care.

Early diagnosis of physical deterioration further allows users to avoid hospitalization and readmissions.

For example, French medtech startup RDS raised EUR 14 million in Series A funding to industrialize a remote monitoring wearable patch.

Hospitals and health systems are also adding RPM data to care management dashboards. This lets centralized monitoring teams keep an eye on many patients at once and moves clinical activity away from acute facilities.

The global remote patient monitoring market is expected to reach USD 56.94 billion by 2030, growing at a CAGR of 12.7%

Asistx provides Real-Time Remote Patient Monitoring

Peruvian startup Asistx builds a real-time remote patient monitoring and telemedicine platform that integrates applied AI. It simplifies diagnosis, continuous monitoring, and treatment across multiple medical domains.

The platform leverages an interconnected system of wearable devices, clinical sensors, and an intelligent dashboard that transmits health data in real time to healthcare professionals. This enables proactive medical decisions.

Further, the platform employs a traffic-light alert system to provide immediate visual cues about patient status. It supports diverse clinical applications, including chronic disease management, post-surgical monitoring, maternal care, and mental health oversight, while also facilitating teleradiology, teleneuropsychology, and telediagnosis.

Harp Diagnostics simplifies Remote Inflammatory Bowel Disease Monitoring

Israeli startup Harp Diagnostics develops Harp 360, a remote monitoring platform that enables continuous assessment of inflammatory bowel disease (IBD) progression in patients with Crohn’s disease and ulcerative colitis.

The platform operates through a user-friendly sample collection device integrated with an automated and cloud-connected testing system that transmits data to healthcare providers for real-time disease management.

It combines intuitive design with accuracy to ensure fail-safe operation even by unskilled users in home or point-of-care environments. The system enhances compliance by simplifying sample handling and reduces diagnostic variability through automation and data standardization.

5. Robotics: 2.7M Robotic-assisted Surgeries Conducted

Adoption of robotic systems sped up beyond pilot programs recently, and robotics is becoming common in digitally connected operating rooms, automated logistics, and precise intervention paths.

This change is a response to growing demand on healthcare systems to deal with a lack of doctors, long wait times for procedures, and rising costs while yet getting the same clinical results.

In 2024, more than 2.7 million robotic-assisted surgeries were conducted around the world. This was a 17% increase from the previous year, as hospitals began using robots more in urology, gynecology, general surgery, and cardiothoracic care.

Expectations for growth in 2025 also stayed in the 17-17.5% range. This means that robotics is moving from being used as capital equipment to being used in routine, high-frequency clinical settings.

The global market for surgical robots stood at USD 13.69 billion in 2025 and is expected to grow to USD 27.4 by 2030, growing at a CAGR of 14.7%. This is because more clinical indications are being found, and the cost of each procedure is going down because more people are using it.

Digital health businesses that specialize in robotics have also raised many nine-figure funding rounds. For example, CMR Surgical raised more than USD 200 million to grow surgical platforms. ForSight Robotics raised USD 125 million to move robotic ophthalmic systems closer to commercialization.

Strategic acquisitions worth more than USD 177 million also showed consolidation, as established medtech companies bought robotics startups.

Surgitec Robotics provides Surgical Robots

French startup Surgitec Robotics makes a robotic platform for hard tissue surgeries. The platform assists with surgeries involving the brain, craniofacial maxillofacial area, spine, orthopedics, and ear, nose, and throat (ENT).

Surge One is the startup’s robotic assistant that utilizes AI and smart technologies to improve the precision and efficiency of robotic surgeries. It improves the quality of surgical operations while enhancing cost efficiency. This provides patients with better access to quality care and accelerates surgical robot adoption.

Loutkar Robotics builds a Rehabilitation Assistance Robot

Spanish startup Loutkar Robotics offers robotic orthoses that assist in the neurorehabilitation of individuals with lower limb disabilities. This enables them to regain mobility and independence.

Its devices, including ankle, hip, and femur orthoses, integrate motorized systems that deliver exomuscular assistance to guide and support limb movement during therapy.

Each orthosis uses embedded sensors to monitor muscle activity and joint positions, providing real-time feedback and adjusting assistance levels to match the user’s physical condition. The startup supports its devices with a companion mobile app that designs personalized rehabilitation programs and tracks patient progress.

6. Wearables: FDA Accepts Wearable Data in Medical Research

Wearable devices are moving from being consumer wellness devices to being part of a clinically useful data infrastructure. In 2025, global shipments of wearables hit over 136.5 million units per quarter. This shows a strong increase from the previous year.

The growing number of devices makes more physiological data available to digital health platforms on a regular basis. This enhances remote patient monitoring, virtual care pathways, and long-term population health programs.

The incorporation of wearables into regulated and semi-regulated clinical workflows is a major factor. Regulators like the FDA officially accepted some metrics from wearables for inclusion in clinical trials for continuous, real-world data.

This validation speeds up the deployment of wearables by hospitals, life sciences businesses, and decentralized trial operators, who use them to cut down on site visits, keep a better track of adherence, and reduce trial running expenses.

Reflecting this, the medical wearables market is projected to grow to USD 168.29 billion by 2030, growing at a CAGR of 25.53%. This growth is due to payers and providers wanting more scalable monitoring technologies that lower hospital readmissions.

Further, new wearable developments allow platform providers to combine wearable data with clinical decision support systems, analytics, and care management.

In Europe and Asia, public funding initiatives also focused on medical device innovation. This indirectly increased jobs and manufacturing capacity across the wearable ecosystem.

AIKON Health makes Cardiovascular Monitoring Devices

Dutch startup AIKON Health manufactures wearable cardiovascular monitoring devices for continuous, non-invasive tracking of heart failure-specific parameters.

The startup’s technology combines ultra-thin, stretchable, and breathable skin patches with dry electrodes. They record vital signs such as thoracic fluid levels, cardiac output, stroke volume, heart rate variability, and respiratory dynamics.

The wearables synchronize data across a modular digital platform to support remote patient monitoring and predictive analytics. This provides clinicians with early warning indicators of cardiac deterioration.

Consequently, the technology allows healthcare professionals to adjust medication regimens and interventions based on real-time physiological insights. It also reduces hospital readmissions and enhances the continuity of care for heart failure patients.

Clairaudience offers Fetal Health Monitoring

South Korean startup Clairaudience provides a wearable fetal health monitoring system. It utilizes biosignal and voice-signal processing to track maternal and fetal well-being in real time.

The system integrates multi-modal sensors into a comfortable wearable device that continuously captures critical parameters like fetal heartbeat, movement patterns, and maternal physiological signals.

Further, it processes these signals using proprietary algorithms to extract clinically relevant insights without hospital-grade equipment. Unlike conventional monitors that depend on intermittent scans, it offers continuous, data-driven analysis that aids doctors in identifying early abnormalities and potential risks during pregnancy.

This way, the startup enables expectant mothers and healthcare providers to maintain consistent oversight of fetal health. It improves prenatal care through seamless, non-invasive monitoring.

7. Mental Wellbeing: 1B+ People Suffer from Mental Health Problems

In recent years, mental health made up a major part of digital care use, and behavioral health made up around two-thirds of all telehealth visits. This focus puts mental health platforms at the center of digital triage, scheduling, clinician allocation, and care-continuity workflows in health systems and employer health programs.

Over a billion people throughout the world have a mental health problem. Moreover, anxiety and depression alone affect hundreds of millions of individuals. These volumes make it hard for traditional in-person care to work and push doctors toward app-based therapies, virtual coaching, asynchronous messaging, and more.

Mental health solutions enhance access metrics, cut down on appointment backlogs, and make it possible to provide scalable first-line care. This way, only cases that need more serious intervention are diverted to the right people.

The digital mental health market is estimated at USD 33 billion in 2025 and is expected to reach USD 153 billion, growing at a CAGR of 18.58%. Mental health apps for consumers alone are expected to reach USD 17.52 billion in 2030, growing at a 14.6% CAGR. This is due to more corporate contracts, employer-sponsored benefits, and payer reimbursement.

In the first half of 2025, global mental health startups raised almost USD 1 billion. Overall, US digital health investment grew from the previous year. Big rounds of funding helped the platform come together, expand internationally, and add mental health modules to larger virtual-care stacks.

These investments focus on measuring results, validating clinical outcomes, and integrating workflows rather than adding wellness features that work on their own.

Mindgram develops a Mental Wellbeing Platform for Enterprises

Polish startup Mindgram offers an all-in-one mental well-being platform for enterprises as a structured employee benefit. It combines diagnosis, prevention, early intervention, and psychological support in a single digital environment.

The platform leverages periodic mental health and burnout assessments, engagement analytics, and organization-level reports to map well-being baselines and segment risk levels. This way, it guides personalized employee journeys across self-care content, workshops, and clinical support.

Further, the platform provides employees and their families with confidential chat-based access to a multidisciplinary clinical team and next-day psychotherapy. It also offers a curated library of development workshops, mindfulness sessions, and evidence-based learning paths.

Mindgram thus enables organizations to treat employee well-being as a business metric by offering a scalable, data-driven infrastructure. It increases workforce resilience and aligns HR investments with productivity and cost-optimization goals.

Vitalos develops an AI-powered Mental Health Platform

UK-based startup Vitalos provides an AI-powered mental health platform that automates intake, triage, and personalized therapy in NHS-aligned care pathways.

It integrates adaptive conversational assessments that classify risk, generate AI-driven summaries, and recommend care plans for clinician review. The platform delivers dynamic cognitive behavioral therapy and self-care routines that adjust according to user engagement and therapeutic progress.

Additionally, the platform supports patients on waitlists through continuous digital monitoring, risk alerts, and step-up guidance. This prevents deterioration between sessions.

The startup strengthens clinical workflows through predictive analytics, natural language understanding (NLU), and data-driven insights that improve decision quality and reduce administrative load.

By connecting patients, clinicians, caregivers, and managers, Vitalos improves mental health outcomes, shortens assessment delays, and enables more efficient, equitable access to psychological support.

8. Chronic Disease Management: Noncommunicable Illnesses cause 74% Deaths

As healthcare systems deal with the rise in noncommunicable diseases and the need for long-term care, chronic disease management has become a key part of digital health.

In recent years, chronic ailments like diabetes, heart disease, respiratory problems, and high blood pressure made up most of the use of digital health platforms. This affected the design of products and the way care was delivered.

Noncommunicable illnesses caused over three-quarters of all deaths around the world during the time of the COVID pandemic. This puts constant pressure on healthcare systems to move from episodic therapy to continuous, technology-enabled management strategies.

Medicare and other payers expanded coverage for remote physiologic monitoring and chronic care management services in 2024. These payment methods let providers make money from monitoring and coaching activities on a regular basis, not just when people come in for visits.

Because of this, health systems connect CDM platforms directly to electronic health records, nurse workflows, and population health dashboards.

Companies that focus on long-term care got a lot of this money, including well-known exits like Omada Health, which went public in 2025 with a value of about USD 1.1 billion. More late-stage rounds and acquisitions focused on diabetes treatment, cardiometabolic care, and multimorbidity platforms.

From a business point of view, CDM systems allow companies to become more efficient. Workforce studies from 2024 reveal that digital tools can save nurses 13-21% of their time, which adds up to hundreds of hours per nurse each year.

These improvements immediately enable chronic care systems that rely on regular check-ins, tracking drug adherence, and teaching patients.

CDM software lets care teams handle more patients without having to hire more workers by automating data collection and putting high-risk patients at the top of the list.

MediOwl enables Chronic Inflammatory Disease Management

German startup MediOwl offers InflammAid, an AI-driven digital health platform. It monitors chronic inflammatory diseases through continuous analysis of patient-generated data.

The platform leverages proprietary algorithms to track digital biomarkers and detect inflammatory flare-ups before patients experience visible symptoms to enable early intervention. It continuously collects data from wearable sensors and integrates it with patient health records to identify real-time inflammation patterns and disease progression.

Further, the platform supports physicians with actionable insights and enables data-based treatment decisions and more precise medication adjustments.

By facilitating timely detection and personalized disease management, the startup reduces diagnostic delays and complications like tissue damage and drug dependence.

Caredevo simplifies Chronic Care Coordination

Australian startup Caredevo provides an AI-powered platform for chronic care coordination. It converts a single consultation into structured, collaborative care plans and services.

The platform processes clinicians’ voice inputs using natural language understanding to instantly generate detailed, individualized care plans. It also automates related administrative tasks like documentation, note-taking, and plan templating.

Moreover, it integrates tools for smart data entry, care plan visualization, and instant printing, supported by an extensive library of chronic disease management templates. This enables healthcare professionals to deliver consistent, proactive, and personalized care.

The startup reduces administrative load, enhances care quality, and strengthens continuity across multidisciplinary teams to improve chronic condition management.

9. Digital Therapeutics: Market to Reach USD 32.5B by 2030

Healthcare providers are using prescription digital therapies to cut down on hospital readmissions. DTx makes sure patients take their medications as directed and provides care outside of professional settings.

Industry reports found that there were more than 360 scientifically proven software-based digital therapies accessible around the world in 2024. This included more than 140 prescription digital therapeutics that were approved for use at home.

Digital health firms now need more regulatory and clinical evidence and cybersecurity skills because of this growth.

The push for regulations and reimbursement sped up the use of DTx even further in 2024 and 2025. For instance, IQVIA Institute recorded 337 000 digital health apps. It also found that 140 digital therapies have received approval in one or more countries.

As of 2025, peer-reviewed studies in the United States found 13 FDA-approved prescription digital therapies, with approval times averaging less than a year. This shows that it is possible to commercialize regulated software-as-therapy.

Big investors in pharmaceuticals and life sciences are putting more money into DTx platforms. They are doing this through big late-stage capital rounds and venture commitments to scale clinical trials, real-world evidence platforms, and payer integration.

For example, Sanofi announced an additional USD 625 million commitment to expand its investment capacity across biotech and digital health innovation.

The global digital therapeutics market is projected to grow to around USD 32.5 billion in 2030, growing at a CAGR of 27.77%. This growth will be due to continued use in managing chronic diseases, mental health, cardiometabolic illnesses, and neurological issues.

Synbora enables Cardiovascular Self-Management

Swiss startup Synbora develops an AI-driven cardiovascular self-management system that delivers adaptive digital therapeutics. It utilizes a medical-grade wearable, a virtual caregiver, and connected clinical applications for patients with or at elevated risk of cardiovascular disease.

The system leverages upper-arm reflectance photoplethysmography sensing and multimodal AI to continuously capture blood pressure and related physiological signals. It then stratifies cardiovascular risk in real time and triggers behavior-guided interventions that adjust therapy to each patient’s evolving condition.

The platform also integrates a calibration-free, multi-parameter wearable, an AI-orchestrated behavioral guidance layer, clinician-facing decision-support tools, and a cloud-based analytics platform. They support both self-managed and clinician-supervised use cases such as hypertension, arrhythmias, heart failure, and post-stroke recovery.

This way, the startup reduces recurrent cardiovascular events and enables continuous, data-driven prevention. Consequently, it lowers long-term costs for healthcare systems while supporting patient independence and long-term functional capacity.

MicroHeal delivers Personalized Digital Therapeutics

Indian startup MicroHeal develops personalized digital therapeutics that integrate medical science with data-driven digital interventions to manage complex health conditions.

Its platform, healOgut, applies clinically validated behavioral protocols alongside tailored diet and exercise plans to treat functional gastrointestinal disorders like irritable bowel syndrome and functional dyspepsia.

The platform operates on a hybrid drug therapy model that combines traditional pharmaceutical treatments with digital tools. This enables continuous patient engagement and adaptive care.

Through real-time insights, interactive monitoring, and collaboration with healthcare professionals, the startup ensures precision in treatment outcomes while reducing side effects and improving long-term adherence.

10. Digital Health Assistants: Save 18.6% Time on Clinical Notes

Digital Health Assistants are becoming an important part of digital health operations because of ongoing staff shortages, the requirement to keep up with paperwork, and the desire to provide more care without hiring more staff.

Clinicians are using AI-powered assistants for clinical documentation, patient interaction, triage, scheduling, and revenue-cycle workflows to keep throughput and clinician productivity steady.

Operational data from big health systems demonstrates that they are getting more done in less time. AI documentation assistance helped doctors spend around 18.6% less time on clinical notes for every interaction in 2025, which means that each patient visit saved almost a minute.

Further, studies show each clinician saves 48 minutes while seeing 20 patients, which increases the quality of care without having to work longer hours.

Surveys of clinicians who used ambient AI assistants found that more than 75% of them saw increases in the quality of their documentation, and more than 70% of them saw signs of less burnout. This shows that digital assistants can help the workforce stay well.

Moreover, digital health assistants advance automating patient intake, summarizing clinical information, sending reminders for follow-up appointments, and more.

Investors are confident in assistant-led workflow automation because AI clinical assistant vendors raised large amounts of capital in 2025. For example, top health assistant software, Abridge, raised USD 250 million to support installations in about 100 health systems.

Lizz Health builds a Digital Care Assistant

Dutch startup Lizz Health makes a digital care assistant that supports patients and healthcare professionals in continuous, personalized treatment management. Its interactive platform delivers daily reminders, self-reports, secure video consultations, and contextual coaching based on real-time user input.

The platform integrates into existing care workflows and allows remote monitoring and direct communication between caregivers and patients without disrupting clinical processes.

Its structured data collection and reminder functions improve adherence to treatment plans, while conversational features encourage patient engagement and autonomy. The startup enhances care continuity, reduces administrative load for caregivers, and ensures patients receive consistent guidance throughout their recovery journey.

Doq Copilot provides a Medical Record Copilot

German startup Doq Copilot builds an AI-driven digital assistant that automates medical documentation for healthcare professionals. It listens to live conversations between physicians and patients, then converts the dialogue into accurate, structured clinical notes in real time.

The assistant combines advanced speech recognition to capture diverse accents and dialects. It also automatically corrects grammar and typos and works across devices without additional installations.

It ensures complete data protection through GDPR compliance, end-to-end encryption, European Union data sovereignty, and operation on ISO 27001-certified Microsoft servers, with immediate data deletion after processing.

By eliminating manual note-taking and post-consultation dictation, the startup streamlines clinical workflows and allows physicians to focus their time and attention on patient care.

Discover all Digital Health Trends, Technologies & Startups

Looking ahead, digital health is shifting from discrete tools to deeply integrated, data-driven care ecosystems. AI, personalized medicine, and continuous monitoring converge to support predictive, preventive, and value-based healthcare models.

Virtual-first access, intelligent triage, and digital assistants enable healthcare providers to manage workforce constraints while maintaining quality and scale. At the same time, regulated wearables and digital therapeutics strengthen clinical evidence and reimbursement alignment.

The Digital Health Trends & Startups outlined in this report only scratch the surface of trends that we identified during our data-driven innovation & startup scouting process. Identifying new opportunities & emerging technologies to implement into your business goes a long way in gaining a competitive advantage.