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flagship course · GL-17

Blockchain Health-Record Concepts

Learn what a shared ledger can and cannot do for health records, and design a privacy-first concept that keeps patient data off the chain.

about this course

What you will be able to do

L3 Foundation54 h of lessons plus practiceAbout 8 to 12 weeks part-time

Learn what a shared ledger can and cannot do for health records, and design a privacy-first concept that keeps patient data off the chain.

  • Understand Explain blocks, hashes, consent and why health data needs special care.
  • Apply Apply a hash and a simple ledger to a practice record.
  • Analyse Analyse use cases to decide where a ledger helps and where it does not.
  • Create Create a concept design that keeps patient data off-chain and consent on-chain.
  • Evaluate Evaluate the design against privacy, safety, cost and rules.

Task, condition and standard

Task

Produce a concept design and risk review for a health-record sharing idea that is privacy-first, with a working toy ledger on practice data.

Condition

A computer, a free spreadsheet or small script tool, only invented practice records, a mentor and a peer circle. About 8 weeks part-time.

Standard

No real patient data used; design keeps personal data off the shared ledger; consent steps shown; cost and failure points listed; a health-privacy adviser or mentor signs off the concept as safe to discuss.

Who it is for: Health administrators, IT learners, students, policy assistants, technologists. Requirements: Basic computer skills. No coding needed. Materials: lesson text, worked examples, templates, rubric, 10-question check.

Safety and limits: Concept learning only. Never use real health records. This is not medical or legal advice, and not a product for live use.

lesson by lesson

8 modules with worked examples

Module 1 Health data is special 4 hUnderstand

Health data can harm if it leaks. You will identify which parts of a health record could single out a person, and explain why collecting less data is the safest starting rule.

  • Who sees what: patient, doctor, lab, insurer, family.
  • Rights: access, correction, consent, deletion where allowed.
  • Duties: keep records for a set time; keep them accurate.
  • Errors can harm a patient.
  • List the kinds of information a record holds, such as name, diagnosis code, test result and appointment date, and mark which ones could identify a person on their own or in combination.
  • Treat every record as something its owner would not want a stranger to read, and before storing any field ask: who needs it, for what purpose, and for how long?
  • Draw who creates, changes and reads a health record today.
  • List the harm if one record is shown to the wrong person.
Worked example. A lab result wrongly filed under another patient with the same name could lead to wrong treatment: accuracy matters as much as secrecy.

Activity. Map five people who touch a record.

Standard to meet. Map shows what each may see.

Common mistake. Thinking more sharing is always better.

Second worked example. A lab shares only the one result a doctor needs; the extra history stays with the clinic. The map shows five parties and what each may see.

Check yourself. Who needs what in your map?

Module 2 What a ledger is 6 hUnderstand

A ledger is a shared list that is hard to change in secret. You will explain a shared ledger with an everyday analogy and compare it to an ordinary database, so you can judge when it adds anything.

  • Blocks hold entries; each block carries the fingerprint of the one before.
  • Change one old entry and every later fingerprint breaks.
  • Many copies are kept by different parties.
  • It records that something happened; it does not make it true.
  • Explain a ledger to a friend as a notebook many people hold identical copies of, where each new page refers to the one before it, so changing an old page is noticed.
  • Compare a shared ledger with a normal database in a table of four rows: who controls it, who can edit, how fast, and how easily data can be deleted.
  • Practise the toy ledger with five invented rows.
  • Check that no invented record looks like a real person.
Worked example. Three blocks A, B, C: B holds A's fingerprint. Edit A and B no longer matches: tampering shows.

Activity. Build a 5-row toy ledger in a spreadsheet.

Standard to meet. Link rows with a fingerprint column and show that a change breaks the chain.

Common mistake. Believing a ledger prevents wrong data.

Second worked example. A wrongly entered lab value stays wrong on a ledger; only the change history is tamper-evident. The fix is a correction record signed by the clinic.

Check yourself. What fixes wrong data?

Module 3 Hashes and fingerprints 8 hApply

A hash turns any data into a short fixed code. You will see a fingerprint code change when one character changes, and understand why storing proofs rather than content protects privacy.

  • Same input gives same code; tiny change gives different code.
  • You cannot work backwards from the code.
  • Hash a file to prove it is unchanged.
  • Never hash small guessable values alone (like a phone number).
  • Show a hash with a tiny test: hash the sentence 'visit on 5 May', then change 5 to 6 and see the whole fingerprint change; this is why altered records stand out.
  • Remember that a hash is one-way: you can check a record against its fingerprint, but you cannot rebuild the record from the fingerprint, so storing only hashes keeps content off the shared copy.
  • Explain the idea to a friend in two minutes without jargon.
  • List what must remain in a clinic system by law.
Worked example. A report hashed today and again in a year gives the same code: unchanged. A one-letter edit changes it completely.

Activity. Hash three practice files and one edited copy.

Standard to meet. Compare and explain the codes.

Common mistake. Hashing small guessable values.

Second worked example. Hashing 'blood test 2025' twice gives the same code; changing one letter gives a completely different code, so the code proves the file is unchanged.

Check yourself. Which value would you not hash alone?

Module 4 Consent and identity 8 hApply

Patients should decide who sees what. You will write consent choices in plain language and plan identity steps, so people stay in control of who may see their information.

  • Consent record: who, what, why, when, until.
  • Withdraw consent as easily as giving it.
  • Use pseudonyms, not names, on a shared ledger.
  • Check who is who before granting access.
  • Write consent as plain choices a person can understand in under a minute: who may see what, for how long, and how to withdraw, with a default of nothing shared.
  • Plan identity checks in two steps, such as something they know and something they have, and decide what happens when someone loses access to their device.
  • Ask how long records must be kept in your place.
  • Note how consent can be withdrawn in an emergency.
Worked example. Patient allows a clinic to see lab results for 30 days. Ledger entry: pseudonym, scope, expiry, no medical data.

Activity. Design a consent entry and a withdrawal entry.

Standard to meet. Check that entries contain no personal health data.

Common mistake. Putting names in consent entries.

Second worked example. A patient with a long illness lets her family doctor and a lab see her results for 6 months. The ledger records a code for each party, the scope and the end date, and nothing about the illness.

Check yourself. What does your entry avoid?

Module 5 What goes on the chain 8 hAnalyse

Keep patient data off a shared ledger. You will sort every data item into kept off the chain, possibly on it, or never on it, avoiding the most damaging design mistake.

  • Store records in protected systems; put only proofs and consents on the ledger.
  • A ledger cannot delete: never put personal data on it.
  • Think about access logs as evidence.
  • Costs and speed of writing entries.
  • Make a three-column table of items: kept off the chain (the record itself), possibly on the chain (a fingerprint, a consent receipt, a timestamp), and never on the chain (names, results).
  • Decide where each item lives before building: records stay in a normal, secured store, and the shared ledger holds only small proofs pointing to them.
  • Compare cost and speed of a ledger with a normal database.
  • List who runs the ledger and who can stop it.
Worked example. Record sits in a clinic system; ledger keeps its hash and the consent. Deletion of the record leaves a harmless hash.

Activity. Draw a two-layer design.

Standard to meet. Diagram marks what is on and off the ledger.

Common mistake. Putting records on the chain "so they are safe".

Second worked example. A scan image stays in the hospital store; the ledger holds only its fingerprint. If the image is edited, its fingerprint no longer matches, so anyone can see it changed.

Check yourself. Where does your record live?

Module 6 Use cases that work and do not 10 hCreate

A ledger is not always the answer. You will apply four screening questions to a proposed idea and tell a sensible use from one where a simpler tool works better.

  • Helps: proof of unchanged records, consent trail, audit among many parties.
  • Does not help: speed, privacy by itself, fixing wrong data.
  • Ordinary databases are often better and cheaper.
  • Ask: do several parties distrust each other and need a shared truth?
  • Test a use case with four questions: is trust missing between parties, do many parties need the same record, is tamper-evidence valuable, and can a simpler tool do it?
  • A good fit might be proving that a supply batch of equipment was checked on a date; a poor fit is storing full patient notes where corrections are routine.
  • Write what you will not claim about security.
  • List three alternatives to a ledger.
Worked example. A single clinic with its own database does not need a ledger. Five hospitals sharing referral proofs might.

Activity. Score four ideas against five questions.

Standard to meet. Justify scores and reject at least one idea.

Common mistake. Choosing a ledger by fashion.

Second worked example. A pharmacy chain wants to prove that a medicine batch was stored cold on the way. Several companies share one record, so a shared ledger scores high; one pharmacy tracking its own shelf does not.

Check yourself. Which idea did you reject?

Module 7 Risks, rules and ethics 6 hEvaluate

Think about harm first. You will rate five harms by likelihood and impact and plan for the worst two, treating ethics as part of design rather than an afterthought.

  • Privacy law, health law and cross-border limits.
  • Security of keys and devices.
  • Fairness: who is left out if they lack a phone?
  • What happens when something goes wrong?
  • List at least eight risks with a likelihood and impact rating from 1 to 5. Start with leaked keys, wrong data entered, lost access, legal non-compliance and unfair exclusion. Address the top two first.
  • Plan to check the rules in each place where the system would operate, and ask a qualified adviser before handling any real records, because this course teaches concepts only and uses invented data.
  • Show the design to a health worker for comments.
  • Keep a list of legal questions for an adviser.
Worked example. A patient loses the key to their identity: design a recovery route through a trusted clinic.

Activity. Write a risk table with eight rows.

Standard to meet. Give each risk a control.

Common mistake. Ignoring people without phones.

Second worked example. A patient loses their key. A recovery route through a trusted clinic restores access after identity checks, and the event is logged.

Check yourself. How can a person without a phone take part?

Module 8 Present the concept 4 hCreate

Explain it to a decision maker in plain words. You will build a five-slide pitch with answers to hard questions, so a non-technical decision maker can weigh the idea fairly.

  • One page: problem, idea, what is on and off the ledger, risks, cost.
  • Show the toy ledger working.
  • State clearly what it cannot do.
  • Plan 90 days: consult adviser, test with fake data.
  • Structure a short five-slide pitch to go with the one-page summary: the problem, who is affected, what goes on the chain and what does not, the risks, and the next small test using invented data.
  • Prepare answers to three hard questions in advance: why not a normal database, who holds the keys, and what happens when someone withdraws consent.
  • Record the limits of your toy in the summary.
  • Plan how to test with only invented data.
Worked example. Summary: "We store proofs and consents only; records stay in clinics. Cost is small; the main risk is key loss."

Activity. Present to a peer circle and a mentor.

Standard to meet. Obtain the mentor's confirmation of no real data and no live-use claims.

Common mistake. Overstating readiness.

Second worked example. The final slide says: 'The ledger holds consents and fingerprints; hospitals keep the records. We have tested it with fake data only. Biggest risk: lost keys. Next step: ask a regulator.'

Check yourself. What limits does your summary state?

case cards and glossary

Practise on cases; learn the words

Case 1. The deletion request

A patient asks for deletion of a record whose hash is on a ledger.

Question: What happens?

Model answer: Delete the record from the clinic system; the hash alone reveals nothing; document it.

Case 2. The insurer

An insurer wants access to all records.

Question: Your response?

Model answer: Only with specific, limited, time-bound consent, and the patient may refuse.

Glossary

Ledger
A shared list of records.
Hash
A fixed-length code made from data.
Block
A group of entries.
Consent
Permission to share.
Pseudonym
A stand-in ID.
Off-chain
Stored outside the shared ledger.

assessment

How you are checked

Your evidence: five-person access map, toy ledger, hash comparison, consent entries, two-layer diagram, use-case scores, risk table and one-page concept. A mentor and one peer mark it with this rubric. Pass: no criterion at 'Not yet', and at least 8 of 10 check answers right.

Marking rubric (Not yet, Meets, Exceeds)
CriterionNot yetMeetsExceeds
UnderstandingMissing, or claimed without a recordExplains blocks, hashes, consentExplains limits with examples
Toy ledgerMissing, or claimed without a recordWorks and detects changeDocumented with tests
Privacy designMissing, or claimed without a recordNo personal data on chainRecovery and withdrawal covered
Risk reviewMissing, or claimed without a recordEight risks with controlsAdviser comments addressed
CommunicationMissing, or claimed without a recordOne-page conceptNon-technical reader understands it

Ten-question check, with model answers

Q1. What links blocks together?

Model answer: Each block holds the fingerprint of the previous block. (Covered in module 2: What a ledger is. To pass that module: Link rows with a fingerprint column and show that a change breaks the chain.)

Q2. Can you reverse a hash?

Model answer: No. (Covered in module 3: Hashes and fingerprints. To pass that module: Compare and explain the codes.)

Q3. Does a ledger prove something is true?

Model answer: No; it proves it was recorded and unchanged. (Covered in module 2: What a ledger is. To pass that module: Link rows with a fingerprint column and show that a change breaks the chain.)

Q4. What should never be on a shared ledger?

Model answer: Personal health data. (Covered in module 5: What goes on the chain. To pass that module: Diagram marks what is on and off the ledger.)

Q5. What does a consent entry hold?

Model answer: Who, what, why, when and until. (Covered in module 4: Consent and identity. To pass that module: Check that entries contain no personal health data.)

Q6. Why use pseudonyms?

Model answer: To avoid names on a shared list. (Covered in module 4: Consent and identity. To pass that module: Check that entries contain no personal health data.)

Q7. When is an ordinary database better?

Model answer: When one party controls the data and trust is not an issue. (Covered in module 6: Use cases that work and do not. To pass that module: Justify scores and reject at least one idea.)

Q8. Name one risk of lost keys.

Model answer: A patient may lose access; need a recovery route. (Covered in module 7: Risks, rules and ethics. To pass that module: Give each risk a control.)

Q9. Why concept only?

Model answer: Live health systems need legal, clinical and security approval. (Covered in module 8: Present the concept. To pass that module: Obtain the mentor's confirmation of no real data and no live-use claims.)

Q10. What happens if you change an old block?

Model answer: Later fingerprints no longer match. (Covered in module 2: What a ledger is. To pass that module: Link rows with a fingerprint column and show that a change breaks the chain.)

jobs this leads to

Where this takes you

  • Health information assistant. Supports records teams.
  • Digital health analyst (junior). Reviews concepts and risks.
  • Policy support assistant. Explains technology to decision makers.
  • IT project assistant. Supports pilots with fake data.

Next courses: Privacy Protection Practice; Wallet Payment Solutions; Online Currency Exchange Concepts.

ten locations and global

Your place

Health and privacy law differ strongly by place and often limit what can be shared: always consult the local health-data authority. Check your local rules with an adviser before you act for real.

India (Bengaluru)

Currency: write INR next to every number. Language: English, Hindi, Kannada. Personal data law to check: Digital Personal Data Protection Act 2023. Level frame: National Skills Qualifications Framework (NSQF) and the national credit framework. Partner to practise with: an industrial-training institute, a polytechnic, a small-business cluster or a Bengaluru incubator.

Netherlands (Eindhoven area)

Currency: write EUR next to every number. Language: Dutch, English. Personal data law to check: EU GDPR (Dutch: AVG), supervised by the Autoriteit Persoonsgegevens. Level frame: the Dutch qualification framework (NLQF) linked to the European Qualifications Framework. Partner to practise with: a regional college (MBO), a maker space or a small firm in the region.

UAE (Dubai and Abu Dhabi)

Currency: write AED next to every number. Language: Arabic, English. Personal data law to check: Federal Decree-Law No. 45 of 2021 (personal data protection). Level frame: the emirate education and training regulators (for example KHDA in Dubai) and the national qualifications framework. Partner to practise with: a free-zone business centre, a training institute or a municipality-licensed operator.

Brazil (Sao Paulo)

Currency: write BRL next to every number. Language: Portuguese (Spanish and English support). Personal data law to check: LGPD (Lei Geral de Protecao de Dados). Level frame: the national technical-education catalogue and the national S-system training bodies. Partner to practise with: a small-business support agency, a technical school or a local cooperative.

Canada (Toronto)

Currency: write CAD next to every number. Language: English, French. Personal data law to check: PIPEDA, with provincial rules where they apply. Level frame: the provincial colleges framework and the national credential-recognition guidance. Partner to practise with: a community college, a settlement agency or a Toronto business hub.

United States

Currency: write USD next to every number. Language: English, Spanish. Personal data law to check: state privacy laws (for example California), and COPPA for children under 13. Level frame: state and community-college credit systems. Partner to practise with: a community college, a workforce board or a small-business development centre.

Singapore

Currency: write SGD next to every number. Language: English, Mandarin, Malay, Tamil. Personal data law to check: Personal Data Protection Act (PDPA). Level frame: the Singapore national skills frameworks and the national credit system. Partner to practise with: a channel partner, a polytechnic or an approved training provider.

Australia

Currency: write AUD next to every number. Language: English. Personal data law to check: the Privacy Act 1988 and the Australian Privacy Principles. Level frame: the Australian Qualifications Framework (AQF) levels. Partner to practise with: a vocational college or registered training organisation, or a regional business chamber.

Hong Kong (Eastern Asia)

Currency: write HKD next to every number. Language: Chinese (Cantonese, Mandarin), English. Personal data law to check: the Personal Data (Privacy) Ordinance. Level frame: the Hong Kong Qualifications Framework. Partner to practise with: a college, training body or business chamber.

Georgia and Israel (Western Asia)

Currency: write GEL or ILS next to every number. Language: Georgian, Hebrew, Arabic, English. Personal data law to check: the personal data law of the country where the learner lives. Level frame: the national qualifications framework of that country. Partner to practise with: a local college, chamber or training body.

Cayman Islands (Caribbean)

Currency: write KYD next to every number. Language: English. Personal data law to check: the Data Protection Act. Level frame: the local education and training framework. Partner to practise with: a local training body or business chamber.

Mexico

Currency: write MXN next to every number. Language: Spanish, English. Personal data law to check: the federal law on personal data held by private parties. Level frame: the national competency certification system and the education ministry levels. Partner to practise with: a technical college or business chamber.

ladder L1 to L7

Slide by slide, with notes

Seven slides, one for each level. Step in at your level and move up; credits stack.

Slide 1. L1 Basic: Basics of records

On the slide: L1 Basic · Basics of records

Notes: Explain what a health record holds and why it is private. Notes: list what is on a vaccination card and who needs to see it. Standard: each item has a reason to share or not.

Slide 2. L2 Awareness: Awareness

On the slide: L2 Awareness · Awareness

Notes: Describe in plain words how a ledger links records so that tampering shows, and what it cannot do. Notes: toy ledger demo with paper cards or a spreadsheet. Standard: the demo shows a changed entry breaking the chain.

Slide 3. L3 Foundation: Foundation

On the slide: L3 Foundation · Foundation

Notes: Map the people, data and consent in a record-sharing idea, and mark what must never go on a shared ledger. Notes: patient, clinic, lab and insurer on one page. Standard: no health detail on the ledger; only references and proofs.

Slide 4. L4 Practitioner: Practitioner

On the slide: L4 Practitioner · Practitioner

Notes: Build a toy ledger with practice data and test one change, one consent withdrawal and one lost key. Notes: no real patient data, ever. Standard: each test is recorded with the result and the lesson.

Slide 5. L5 Specialist: Specialist

On the slide: L5 Specialist · Specialist

Notes: Produce a concept design and risk review for a privacy-first health-record sharing idea, with a working toy ledger on practice data. Notes: the review lists legal limits, deletion rights and key loss. Standard: design keeps records off-ledger, and each risk has a control.

Slide 6. L6 Advanced: Advanced

On the slide: L6 Advanced · Advanced

Notes: Review a design with a legal and clinical reviewer, set standards for consent and audit, and plan a safe pilot. Notes: add an ethics note and a withdrawal process. Standard: reviewers' comments answered in writing, and pilot limits stated.

Slide 7. L7 Super expert: Super expert

On the slide: L7 Super expert · Super expert

Notes: Set the method for describing record integrity and consent without storing health data on a ledger, and teach it. Notes: re-read the health-data law for the place each year and update the examples.

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Draft

Draft flagship. Own wording; no outside brand, school or person names. Not live.

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