D A T A V A U L T
F O R
H E A L T H

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Real time data capture and analytics
for surgical and interventional
procedures in Medicine.

For better insights, analytics, trends, care & outcomes.!

Why datavault for health?

A unique database platform that captures pre-procedure
referral data, real-time procedure data & patient follow-up data

GAPS

Health care workers DO NOT have a platform to collect, aggregate & analyze real-time procedure data

CHALLENGES

Paper trails are far from exhaustive, cumbersome to manage, maintain & archive

SOLUTION

Real time data entered during the procedure is verified for authenticity, completeness & accuracy prior to submission

Key Takeaways

  • 24*7 guaranteed up-time, hosted on a private cloud
  • Manage wait times, patient hold information, referrals, follow-ups and complications data
  • Identify effectiveness of treatment modalities & device characteristics
  • View & analyze mortality curves
  • Co-relate demographics, habits, lifestyles, genetic traits with mortality

Support clinical research initiatives

Empirical results with LIVE data

Evidence based decision making

Better patient selection vis-a-vis better outcomes

DataVaultForHealth complies with all major international Health
IT security & regulatory recommendations.

Health Insurance Portability and Accountability Act

General Data Protection Regulation

Code of Federal
Regulations

Technology, Feature list & Pipelines

From Blockchain to Machine Learning algorithms we work with state of the art technologies to make life easier for clinicians & care givers.

Data Management

Collect, monitor, update, archive patient / procedure data.

Patient follow up

Review 6 month, 1 – 5 year follow-ups periodically

Wait times

Strategize plans to reduce procedure wait times across the nation

Audit procedure “Complications"

Map procedure effectiveness to patient outcomes.

300 + Parameters

Customize your application to your specific requirements

Predictive Analytics

Use clinical data to predict patient outcomes & aid selection

Parameters Classification (Sample Screens)

  • Made by clinicians for clinicians (workflow, user journeys, design review)
  • Scalable for any procedures
  • Application design -> Combination of “modular monolith” and microservices architectures
  • Angular.Js, Java (Spring, Hibernate and JSP), Infinispan, Lucene (indexing and search), HTML5 and CSS5, MySQL
  • Multi-factor authentication, session handling, encryption and data caching methodologies are implemented to ensure security, seamless performance and to prevent any web related threats and / or vulnerabilities.
  • Regulations -> GPRA compliant**, HL7, 21 CFR Part 11 ready
  • Data Import / Export -> json, xml or csv
  • Pervasive UI design -> suits mobile, iPad, laptops (device agnostic)
  • Can be hosted in any environment -> in-house, cloud (private / Govt. approved)

Patient Journey

Referral

Referral process Management
Appointment Scheduling
Routine tests (Mandatory)

Decision Making

Transparent decision making
Investigations Management
 

Further review

Multi disciplinary specialist teams

Procedure

Pre-procedure Management
Most optimal patient decision
Historical data / Evidence based

Anaesthetist Review

Operating Surgeon Notes
ICU Notes
 

Procedure Management

Complications Log
Mortality
 

Patient Follow-up

Appointment Scheduling
KM Curve / Analytics
 

Patient Journey

User Profiles

  • Can be configured to suit any user
  • Hospital Admin have permissions to add users & roles
  • Each user to have privileges based on roles
  • Custom built dashboards
  • Analytics relevant to specific users
  • Audit trails with user info & timestamp
Ministry Officials
Audit bodies
Insurers
Managers
Policy Makers
Regional Heads
Specialists
Surgeons
Consultants
Registrars
Specialist Nurse coordinators

Data Capture

  • Patient / procedure specific data capture
  • Clinical outcome based on procedures / operators / risk profile / demographic pattern
  • Theatre / procedure cost / scheduling
  • Follow up outcome
  • On-hold, waiting list, procedure completed data

Data Visualization

  • Visualization of complications, real-time automated analytics
  • Drive clinical governance at the level of the institution, regions and national level
  • Regional / national patient flow
  • Use of inventory

Drive behavioural change in clinical practice

Empower the health worker

Drive open accountability & transparency

Better patient outcomes