I reviewed topics similar to the above, but did not see any recent exchanges and/or conversation. Is there an ongoing discussion?
Is there anyone here?
It’s a forum, not a chat.
With urgent support questions, there will often be someone trying to help quite quickly, but with totally open discussion questions … expect answers in hours or days.
1 Like
To whom it may concern:
Proposal: Revolutionizing Medical Record Management with Blockchain and other technologies
Hello, I have a deeply personal reason driving my passion for this project. I lost my son due to a critical oversight in his medical care. Despite my efforts to ensure his doctors had access to his full medical history, I faced numerous challenges in obtaining and sharing his records. This tragedy could have been prevented if there had been a system that made it easy for doctors to access and review a patient’s complete medical history.
The current system of obtaining and managing medical records is plagued by numerous inefficiencies:
Fragmented Information: Different healthcare providers maintain separate records, making it difficult to compile a complete medical history.
Time-Consuming Processes: Requesting and obtaining medical records is a lengthy process involving calls, faxes, and physical mail, often leading to incomplete records.
Overwhelmed Healthcare Providers: Doctors are constrained by time and resources, limiting their ability to review comprehensive medical histories.
Patient Barriers: Patients, especially those who are sick, poor, or without support, struggle to gather and manage their own medical records.
Imagine a system where a doctor can access a patient’s entire medical history at a glance, summarized and organized to highlight critical information. This system would leverage blockchain technology for secure and efficient record-keeping and artificial intelligence to summarize and prioritize relevant medical data.
I propose developing a blockchain-based medical record management system, integrated with AI-powered summarization, designed to address the inefficiencies in the current system.
- Blockchain for Secure and Efficient Data Storage:
Decentralized Ledger: A blockchain ensures data integrity and security, making medical records tamper-proof and easily verifiable.
Interoperability**: Different healthcare providers can access and update records seamlessly, ensuring a complete and unified medical history.
Patient-Controlled Access
Patients have control over who accesses their medical data, enhancing privacy and consent management.
- AI-Powered Summarization:
Data Prioritization: AI algorithms analyze medical records to extract and highlight critical information, allowing doctors to quickly scan the entire history.
Comprehensive View: Summarized records cover all aspects of the patient’s health, including physical and mental conditions, ensuring holistic treatment.
Efficiency: Reduces the time doctors spend reviewing records, freeing them to focus on patient care.
Comparison to IBM’s Approach:
While IBM’s blockchain-based medical records system is a commendable effort, it has limitations that could hinder its effectiveness and cost-efficiency:
Cost: IBM’s solutions often come with high implementation and maintenance costs, which can be a significant burden for healthcare providers, especially smaller practices.
Complexity and Integration: IBM’s system can be complex to integrate with existing electronic medical record (EMR) systems, requiring significant time and resources.
Potential for Obsolescence: Technology evolves rapidly, and IBM’s system, being a large-scale enterprise solution, may not be as adaptable to future technological advancements or specific needs of smaller healthcare providers.
Scalability and Flexibility: IBM’s system is designed for large-scale operations, which may not be scalable down to meet the needs of smaller practices or individual healthcare providers effectively.
Implementation Steps:
- Develop the Blockchain Infrastructure:
Collaborate with Blockchain Experts: Work with professionals in the crypto and blockchain industry to build a robust and secure platform.
Integrate with Existing Systems: Ensure compatibility with current EMR systems used by healthcare providers.
- AI Summarization Algorithms:
Develop and Train AI Models: Use machine learning to create algorithms that can accurately summarize medical records. The AI will analyze patient history, treatments, medications, diagnoses, and other relevant data points.
Continuous Improvement: Regularly update the AI models based on feedback from healthcare providers to improve accuracy and relevance.
- Pilot Program:
Select Partner Healthcare Providers: Implement the system in a few hospitals and clinics to test its effectiveness.
Collect Feedback and Refine: Use feedback from doctors and patients to refine the system before a broader rollout.
- Full-Scale Deployment:
- Expand to More Providers: Gradually scale up the system to include more healthcare providers.
Ongoing Support and Improvement: Provide continuous support and updates to ensure the system remains effective and secure.
The implementation of this system could have significant positive impacts on healthcare outcomes, patient satisfaction, and cost savings:
Improved Healthcare Outcomes: By providing doctors with a complete and easily accessible medical history, treatment plans can be more accurate and comprehensive, leading to better patient outcomes.
Increased Patient Satisfaction: Patients will benefit from more personalized and timely care, knowing their complete medical history is available to their healthcare providers.
Cost Savings: Efficient management of medical records can reduce administrative costs and the need for repetitive tests, saving money for both healthcare providers and patients.
Addressing Potential Concerns:
Privacy and Security: Blockchain technology ensures that medical records are stored securely and only accessible by authorized individuals. Patients control who has access to their data, enhancing privacy.
Bias in AI Algorithms: Developing transparent AI models and regularly updating them based on diverse datasets can minimize bias. Continuous monitoring and feedback from healthcare providers will ensure that the AI remains fair and accurate.
Adoption and Integration: Working closely with healthcare providers to ensure the system integrates smoothly with existing EMR systems and workflows will be a priority. Training and support will be provided to ease the transition.
This proposal has the potential to revolutionize the management of healthcare data. By leveraging blockchain technology and AI, we can create a system that not only stores vast amounts of medical information securely but also makes it accessible and useful for healthcare providers. This will enable doctors to provide more tailored and effective treatments, ultimately improving patient outcomes.
Your support and collaboration are essential to making this vision a reality. Together, we can transform the way medical records are managed, benefiting both healthcare providers and patients alike.
Thank you for considering this proposal. I look forward to the opportunity to discuss it further.
Doubt anyone sees this. I’ve tried to talk to other chains. However my limited experience and education render me null.
I have a limited education so please forgive my use of technology to express this idea.
I learned how to interact with AI and make simple indicators while I sat next to my wife while she was in the hospital.
The following is an attempt to make a genesis code to the best of my ability
import os
import json
from cardano.transaction import Transaction
from cardano.wallet import Wallet
from cardano.utils import create_tx, sign_tx, submit_tx
# Initialize Cardano Wallet
mnemonic = os.getenv('MNEMONIC') # Ensure your wallet mnemonic is set as an environment variable
wallet = Wallet.from_mnemonic(mnemonic)
def load_and_summarize_medical_records(file_path):
with open(file_path, 'r') as f:
medical_records = json.load(f)
summarized_records = {}
for record in medical_records:
patient_id = record['patient_id']
summary = {key: value for key, value in record.items() if key != 'patient_id'}
summarized_records[patient_id] = summary
return summarized_records
def store_contract_code(wallet, wasm_byte_code_path):
# Assuming the contract has been compiled and is ready to be deployed
with open(wasm_byte_code_path, "rb") as wasm_file:
wasm_byte_code = wasm_file.read()
tx = create_tx(wallet.address, wasm_byte_code)
signed_tx = sign_tx(wallet, tx)
tx_hash = submit_tx(signed_tx)
return tx_hash
def instantiate_contract(wallet, code_id, init_msg, contract_label):
# Create and submit the instantiation transaction
tx = create_tx(wallet.address, {"code_id": code_id, "init_msg": init_msg, "label": contract_label})
signed_tx = sign_tx(wallet, tx)
tx_hash = submit_tx(signed_tx)
# Assuming the contract address can be derived or retrieved after the transaction
contract_address = "derived_or_retrieved_contract_address"
return contract_address
def store_medical_records(wallet, contract_address, summarized_records):
for patient_id, summary in summarized_records.items():
medical_record = {"patient_id": patient_id, "summary": json.dumps(summary)}
tx = create_tx(wallet.address, {"contract": contract_address, "medical_record": medical_record})
signed_tx = sign_tx(wallet, tx)
tx_hash = submit_tx(signed_tx)
if not tx_hash:
raise Exception(f"Failed to store medical record for patient {patient_id}")
def main():
# Load and summarize medical records
file_path = 'medical_records.json' # Ensure the correct file path
summarized_records = load_and_summarize_medical_records(file_path)
# Define the path to the compiled contract wasm file
contract_wasm_path = "path_to_contract_wasm_file.wasm" # Replace with the actual path
# Store the contract code on the blockchain
code_id = store_contract_code(wallet, contract_wasm_path)
# Instantiate the contract
contract_label = "Medical Records Storage"
init_msg = {}
contract_address = instantiate_contract(wallet, code_id, init_msg, contract_label)
print("Contract Address:", contract_address)
# Store the summarized medical records in the contract
store_medical_records(wallet, contract_address, summarized_records)
print("All records stored successfully")
if __name__ == "__main__":
main()
The pilot program could appeal to parties involved in disability claims and would decrease the amount of time a disabled individual has their claim processed which has become a problem since Covid.
Not that I have seen any lately.
For what it’s worth, there were some Catalyst proposals in the past and three in the current Fund where we are waiting for the vote results:
https://projectcatalyst.io/search?q=medical
The only one funded up to now (in Fund9 with the project “running” until December 2022) seems kind of dead:
https://hippr.org/ https://x.com/Hippr_/with_replies
Thank you. I’m not well versed outside of cosmos. I’ll be patient. I just don’t want to start a new topic if there was an existing discussion already in progress
I’m so sorry these projects didn’t see more daylight. This is a real world problem. It’s not about being able to get them, it’s about having information formatted in such a way that it’s actually useful.
To who ever reads…
The idea would appeal to some entity that is required to obtain records, to entities required to send records, to entity’s responsible for processing related info between the former. There would be room for some existing tech company to offer these services to public and private entities. And then and most importantly it would benefit those in need and/or those responsible for caring for them.
Midnights the one. I hope they pass the approval soon.
Much of medical info is actually the same, over and over and over. It’s so repetitive that it defeats an over worked person. The technology to record is increasing, the technology to store is increasing, but how is this a benefit if it’s not readily apparent what are and are not problems?
I’ve seen tech that is supposed to help, and it does a lot. However I still believe that there is a more intuitive way to present important info.
@cosy0b: I am really sorry to hear about your son. I can’t think of many things more terrible.
I agree that medical mistakes resulting from a Dr not knowing something already diagnosed or disclosed in the medical records is a total failure of the system. You are quite correct that all the disparate silos of medical information maintained by each Dr, and access limited due to privacy concerns, is a very big problem.
You have certainly bitten off a big scary problem to solve there. I think the level of difficulty would be an order of magnitude harder than solving the “decentralised social media” or “blockchain twitter” problem. And data storage requirements would be similarly huge. But the benefits of solving the “decentralised medical record” problem would be HUUUUGE.
Here is another benefit that your individually controlled “decentralised medical record” system would allow you to unlock:
One thing that is holding back health related research is privacy. But imagine if you could provide people with the means of sharing data using ZK tech so that the research can be done and the participants can be assured that none of their data can be traced to them. For example, I wouldn’t just submit my DNA records to a researcher or post them all my other medical data, but I might if protected by ZK.
Also, we could then use the same ZK and blockchain tech to make it mandatory that results get released by a certain time. This would provide a mechanism to somewhat counter the “selective reporting” bias problem which is a scourge in medical, health, and, well, … all research.
Maybe the other projects can utilize some of this feedback?
No one needs a new project right now, but existing infra could be…maybe utilized