Clinical decision support system helps the Doctors make informed decisions about each patient accurately, as well as identify the population level trends in discovering the hidden patterns.
Personalized medicine is an area of advancement in healthcare that allows each patient to be examined and assessed individually based on their own personal case history. Advanced Natural Language Processing (NLP) algorithms extract the critical care information from the patients’ case history and use it to formulate the personalized care process that is individually tuned for each patient separately.
What is the problem with the current Electronic Health Record (EHR) implementations in the industry?
- EHR implemented as a form filling / data entry application
- Health Information Exchange (HIE) is a major challenge
- No decision support. Not even validation !!
Practitioners don’t look at their patient anymore…they look at the computer. The time spent entering data on the computer exceeds the time spent listening to, examining, and providing education to the patient about their condition….
… Who see’s these records? Every medical record in and out of the system is different….“
VICKI LATHAM, PA-C, http://disq.us/p/1nt46wb
- 86% of mistakes made in healthcare are administrative:
A transparent auditable system based on Blockchain eliminates the mistakes in the administrative care processes, facilitating an accurate diagnostics and speedy processing for all of the users.
| Cenacle Blockchain based EHR | Other EHR Implementations |
|---|---|
| Distributed shared ledger data | Fragmented data |
| Real-time updates across networks | Timely access is a challenge |
| Patient owns the data and patient controls who should it be shared with | Data is owned by those who collect it, and patient has no control |
| Security is not an option – it is built-in | Patient’s data security is questionable |
| Data integrity is at the core of the system design | Administrative mistakes are commonplace |
| Automated workflows | Manual workflows are burdening the physicians |
| Makes Clinical Decision Support Systems’ implementation possible | N/A |
| Standards based: TEFCA, NIST 800-63, FHIR, LIONC | Standards are questionable |
Live Demo
For a real-time patient monitoring live demo, checkout our health-tracker page: Blockchain enabled EHR system – Cenacle
References
- James, John A New, Evidence-based Estimate of Patient Harms Associated with Hospital Care, Journal of Patient Safety: September 2013 – Volume 9 – Issue 3 – p 122–128, doi: 10.1097/PTS.0b013e3182948a69
- A Healthy System, The Technology CEO Council Report, http://www.techceocouncil.org/clientuploads/reports/A_Healthy_System_Final.pdf
- Targeted Solutions Tool for Hand-Off Communications, Joint Commission Perspectives®, August 2012, Volume 32, Issue 8, https://www.jointcommission.org/assets/1/6/tst_hoc_persp_08_12.pdf
- Cyberthreat Defense Report, NetIQ, 2015, https://www.netiq.com/promo/security-management/2015-cyberthreat-defense-report.html
- Gopalakrishna Palem, The Practice of Predictive Analytics in Healthcare, Apr 2013.
- EHR faulty software: eClinicalWorks sued for $1 Billion for inaccurate medical records http://www.healthcareitnews.com/news/eclinicalworks-sued-nearly-1-billion-inaccurate-medical-records
- Cenacle Personal Health Record Demo: https://cenacle.co.in/demos/personal-health-tracker