BK230986 · MAK-SYSTEM Group Ltd. London United Kingdom · MMH · Nov 3, 2023 · Hematology
Device Facts
Record ID
BK230986
Device Name
ePROGESA v5.0.3
Applicant
MAK-SYSTEM Group Ltd. London United Kingdom
Product Code
MMH · Hematology
Decision Date
Nov 3, 2023
Decision
SESE
Regulation
21 CFR 864.9165
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
ePROGESA is a modular, stand-alone blood bank, plasma centers and blood transfusion service software application that is specially designed to meet the needs of organizations collecting blood, plasma, platelets, cord blood, and/or transfusion services organizations to aid/assist qualified and trained personnel to support the major operations within their facilities. ePROGESA is designed to undertake typical blood bank operations on fixed and mobile sites including but not limited to session planning and recruitment of donors; donor eligibility status including deferrals management, interactive donor health questionnaire (Computer Assisted Self Interviews (CASI)), also called SAHH feature, completed by staff or donors or remote donors and reviewed by a blood center-trained staff; immunization traceability for plasma donors; donation collection; component preparation and transformation; donor and donation laboratory testing; blood unit stage release; blood inventory, and distribution of blood products and manufactured products, product quality control including bacterial screening; blood products lookback and donor surveillance; HLA/RBC searching and matching. ePROGESA is also intended to support typical blood transfusion operations of order management, patient management, inventory selection, testing, further manufacturing, release, and distribution of blood products and manufactured products, track product disposition and keep transfusion history. Orders and reporting of patient results can be managed by interface with the Hospital Information System. ePROGESA also includes interfaces for the National Deferred Donor Register (NDDR), collection and manufacturing devices, LIMS, quality control and Laboratory Instruments which assist trained personnel in the transfer and integration of data to the ePROGESA software.
Device Story
ePROGESA is a modular, stand-alone software application for blood banks, plasma centers, and transfusion services. It manages end-to-end operations: donor recruitment, health questionnaires (CASI/SAHH), collection, lab testing, component preparation, inventory, distribution, and transfusion history. Operated by trained personnel in fixed or mobile clinical settings. Integrates with third-party systems (LIMS, Hospital Information Systems, collection/manufacturing devices) via standard network connections. Provides centralized multi-site management. Output includes donor eligibility status, inventory tracking, and transfusion records, aiding clinical decision-making by ensuring blood product safety, traceability, and regulatory compliance.
Clinical Evidence
No clinical testing was performed in support of this premarket notification. Evidence consists of software verification and validation testing (Alpha, Platform, and Beta testing) conducted per FDA guidance for Blood Establishment Computer Software.
Technological Characteristics
Modular, stand-alone software; JAVA technology; n-tier web architecture; supports centralized multi-site structure; interfaces with third-party systems via standard network connections. Software is classified as a major Level of Concern.
Indications for Use
Indicated for use by blood banks, plasma centers, and blood transfusion services to support operations including donor recruitment, eligibility screening (via CASI/SAHH), donation collection, laboratory testing, component preparation, inventory management, distribution, lookback/surveillance, and transfusion service management.
Regulatory Classification
Identification
Blood establishment computer software (BECS) is a device used in the manufacture of blood and blood components to assist in the prevention of disease in humans by identifying ineligible donors, by preventing the release of unsuitable blood and blood components for transfusion or for further manufacturing into products for human treatment or diagnosis, by performing compatibility testing between donor and recipient, or by performing positive identification of patients and blood components at the point of transfusion to prevent transfusion reactions. This generic type of device may include a BECS accessory, a device intended for use with BECS to augment the performance of the BECS or to expand or modify its indications for use.
Special Controls
*Classification.* Class II (special controls). The special controls for these devices are:(1) Software performance and functional requirements including detailed design specifications (
*e.g.,* algorithms or control characteristics, alarms, device limitations, and safety requirements).(2) Verification and validation testing and hazard analysis must be performed.
(3) Labeling must include:
(i) Software limitations;
(ii) Unresolved anomalies, annotated with an explanation of the impact on safety or effectiveness;
(iii) Revision history; and
(iv) Hardware and peripheral specifications.
(4) Traceability matrix must be performed.
(5) Performance testing to ensure the safety and effectiveness of the system must be performed, including when adding new functional requirements (
*e.g.,* electrical safety, electromagnetic compatibility, or wireless coexistence).
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.
