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Run your analysis now →https://www.patsnap.com/resources/blog/rd-blog/remote-and-ambulatory-patient-monitoring-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Medical EquipmentRemote and Ambulatory Patient Monitoring Patents: Filing Trends and White Space
- Filings jumped +500% from 2021 to 2024, the last year with a complete publication record, before the usual 18-month lag understates 2025-2026.
- Healthcare informatics (G16H) touches 65.0% of the 20 records in scope, while AI-based computing (G06N) already reaches 30.0% — informatics and AI claims are colliding in the same filings.
- The ranked leaders are a long tail, with the top 5 assignees together holding just 25.0% of all 20 records — no single filer has locked up the space.
20
Published Records
25%
Top-5 Share of All Records
+500%
Filing Growth 2021→2024
IN
Leading Jurisdiction
Filing growth compares 2021 (1 records) with 2024 (6) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 20 records in scope (CR5), not by the ranked leaders only.
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview
What this patent landscape covers
This landscape tracks remote patient monitoring and ambulatory monitoring device filings that also touch practical adoption barriers: data transmission reliability, long-wear battery design, adhesive skin tolerance, false-alert burden, reimbursement pathway and data integration. The scope is narrow by design — it isolates filings where the invention grapples with a real deployment problem, not just a sensor concept.
The 20 records in scope span 2015 to the 2026-07-31 cut-off, with receiving offices concentrated in India, followed by the United States and China. That distribution reflects where this specific claim language is being filed, not where remote monitoring research overall is happening.
Filing activity and technology composition, 2015-2026
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Remote and Ambulatory Patient Monitoring covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The Data
Filing trend and technology composition
Two views of the same 20 records: how filing activity has moved year over year, and which IPC subclasses the inventions actually sit in.
Filing trend, 2017-2026
Annual filings rose from zero in 2017 to a peak of 6 in 2024, with growth of +500% between 2021 and 2024. 2026 is shown at 4 but is still a partial year; 2025 and 2026 will both revise upward as publications catch up with filing dates.
IPC subclass composition
G16H (healthcare informatics) appears in 65.0% of the 20 records and A61B (diagnosis and surgery) in 45.0%, confirming this is primarily a software-and-sensing landscape rather than a materials one. G06N (AI-based computing) already reaches 30.0%, and because records can carry multiple classes, these shares overlap rather than sum to 100%.
Shares are the percentage of the 20 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Remote and Ambulatory Patient Monitoring covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.
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The most-cited record in this landscape
Featured Patent
US20140052464A1 — Method and system for remote patient monitoring
RAY, ABHIJIT
A system for remotely monitoring a patient, comprising input sources that acquire well-being information, an external database of analytical models and medical data, and a central controller that selects a model, runs it against the incoming data to determine patient state, formulates a health prediction, generates a recommendation, and transmits that recommendation onward.Filed by RAY, ABHIJIT, published 2014-02-20; cited 33 times, far ahead of any other record in this dataset.
Most-cited records
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20140052464A1 | Method and system for remote patient monitoring | 33 |
| 2 | CN119252515A | 一种基于物联网的医疗平台用户随访管理系统及方法 | 2 |
| 3 | US20250347698A1 | Multi-Omics Biomarker Detection System and Methods for Disease Diagnostics | 1 |
| 4 | US20260155256A1 | Digital Health Communication System With Artificial Intelligence, Machine Learning And Insights Database | 1 |
Citation counts favour older filings that have had more time to accumulate references — read them as a signal of influence within this corpus, not of current technical importance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Publication numbers are shown where the record carries one (4 of 4 rows); clicking a row searches Eureka by that number.
Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Remote and Ambulatory Patient Monitoring covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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What the numbers mean for filing strategy
Four read-throughs from the trend, the technology split and the citation table.
Growth
+500%
2021 to 2024 filings
Momentum is real but recent
Filings rose from 1 in 2021 to 6 in 2024, the last year that can be treated as a complete count. Because publication typically lags filing by roughly 18 months, 2025 and 2026 figures will climb as more applications publish; they should not be read as a slowdown.
2021-2024 window
Concentration
25.0% / 50.0%
top 5 / top 10 share of 20 records
No single filer dominates
The top 5 assignees together account for 25.0% of all 20 records in scope, and the top 10 for 50.0%. Across 75 ranked companies, that spread means the field is still open to a new entrant with a well-drafted claim.
Share of all 20 records
Technology mix
65.0% / 45.0%
G16H / A61B share of records
Informatics leads, diagnostics follows
G16H healthcare informatics appears in 65.0% of records and A61B diagnosis-and-surgery in 45.0%. The overlap between the two, plus G06N's 30.0% presence, points to inventions that pair a sensing or diagnostic step with an informatics or AI layer rather than either alone.
Records can carry multiple IPC classes
Influence
33 citations
top-cited record
One early filing still anchors the field
US20140052464A1 carries 33 citations, well ahead of the next-most-cited records in this corpus, which sit at 1-2. That gap is typical of an older filing that had more years to accumulate references, not necessarily evidence that its architecture is still the best available route.
Most-cited records table
Eureka AI Agent
Looking for what nobody has claimed yet?
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to remote and ambulatory patient monitoring, with the prior art for and against each one.
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Remote and Ambulatory Patient Monitoring covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players
Who is filing, and where the gaps sit
The assignee ranking spans 75 companies, counted in records — this is the whole ranking the data endpoint returns, not a curated top list.
Leader
1 record
leading assignee
A single-filing leader
The leading assignee holds just 1 record in this dataset, and the fifth- and tenth-place assignees also hold 1 each. That flat profile is the clearest sign that filing activity here is dispersed across many small filers rather than driven by an established program.
Leader, 5th and 10th place
Collaboration
10 co-assignee pairs
joint filings
Filing is mostly solo, with a few paired teams
Ten co-assignee pairs appear across the dataset, with the strongest pairings each recorded once. Joint filing is not yet a dominant pattern here, which leaves room for a university-industry pairing to establish a stronger joint position.
Strongest pairs recorded once
Momentum
1 in latest year
per active new filer
New entrants are arriving one filing at a time
Recent-year momentum shows individual institutions and inventors each contributing a single filing in the latest year, while some earlier filers show no latest-year activity at all. That pattern is consistent with an emerging field being seeded by many first-time filers rather than repeat programs.
Recent-year momentum by assignee
Recent-year filing momentum
| Assignee | Recent year | YoY |
|---|---|---|
| SRI MUTHUKUMARAN INSTITUTE OF TECHNOLOGY | 1 | — |
| SR UNIVERSITY | 1 | — |
| SALE DEEPALI RAJENDRA | 1 | — |
| Complete Omics Inc. | 0 | -100% |
| Inner Mongolia Jinmeng Technology Co., Ltd. | 0 | — |
| SUPREETHA M | 0 | — |
| SRI ESHWAR COLLEGE OF ENG | 0 | -100% |
| S K SHREYA | 0 | -100% |
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Remote and Ambulatory Patient Monitoring covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next
Where to take this analysis
The landscape points to an open field with a thin top tier — the next steps depend on whether you are scoping freedom-to-operate or looking for a filing gap.
Check freedom-to-operate against the top-cited record
US20140052464A1's claims on model-driven recommendation generation are the most-cited prior art in this corpus and worth clearing before committing to a similar architecture.
Explore this patent in EurekaMap the under-claimed sub-areas
Adhesive skin tolerance, long-wear battery management and false-alert suppression each show thin coverage relative to the informatics core — a first-mover claim there faces less crowded prior art.
Run a white space search in EurekaTrack the newest filers
Recent-year momentum is dominated by single-filing institutions rather than repeat applicants, so watching newly active assignees may surface the next concentration point before it shows up in rankings.
Set up assignee tracking in EurekaSource: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Remote and Ambulatory Patient Monitoring covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ
Common questions about this landscape
In this dataset of 20 records, the ranking spans 75 companies and no single filer dominates: the leading assignee holds just 1 record, and the fifth- and tenth-place assignees each also hold 1. The top 5 assignees combined account for 25.0% of all 20 records, and the top 10 for 50.0%. That flat distribution means leadership here is defined more by claim quality and timing than by portfolio size, and a well-drafted new filing can still compete on equal footing.
Filings grew +500% between 2021 and 2024, rising from 1 to 6 in that span, with 2024 standing as the peak year so far. Because patent publication typically lags filing by around 18 months, the 2025 and 2026 counts shown in the trend are still incomplete and will revise upward as more applications publish. Treat the recent uptick as understated rather than as a plateau.
Healthcare informatics under IPC class G16H appears in 65.0% of the 20 records in scope, and diagnosis-and-surgery class A61B appears in 45.0%. AI-based computing under G06N is present in 30.0% of records, indicating that most inventions pair a sensing or diagnostic function with a software or AI layer. Because a single record can carry multiple IPC classes, these shares overlap rather than summing to 100%.
US20140052464A1 describes a system that acquires patient well-being data from multiple input sources, selects an analytical model from a database, runs the data against that model to determine patient state, and generates and transmits a health recommendation. It is the most-cited record in this dataset at 33 citations, far ahead of any other filing here. Anyone building a model-selection-and-recommendation architecture for remote monitoring should review its claims closely, though a high citation count reflects its age and prior-art role more than current market dominance.
The technology composition shows heavy concentration in healthcare informatics and diagnostics, but adjacent practical concerns named in the search criteria — adhesive skin tolerance, long-wear battery design, false-alert suppression and reimbursement-pathway claim language — show comparatively thin coverage. These are the deployment problems that determine whether a monitoring device survives real-world use, yet they are underrepresented relative to the core sensing-and-software claims. A first filer with a specific, well-evidenced claim in one of these areas faces a less crowded prior-art landscape than one filing another generic monitoring-architecture claim.
Answers are grounded in the same dataset. Derived from a Patsnap search on Remote and Ambulatory Patient Monitoring covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.