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The application of the Highly Successful Aviation Safety Model

to the Healthcare Industry

 

Finally…A Standardized Global Confrontation and Deterrence

Against “ALL” Preventable Medical Errors

 

 

“Medical errors represent a needless healthcare problem that involves great loss of life, disabilities and extreme industry expense…repercussions that serve only as a waste in this age of available information technology. Medical errors, both the financial and injury aspects, have sadly evolved into a necessary cost of healthcare administration. The time has come to transfer this cost to an avenue of effective and measurable prevention that addresses the pandemic in a universal, standardized and cooperative manner … a manner that is specific in demanded results and serves as a single guiding light bringing together all individualized, university, facility, state and federal approaches to the problem.

 

During the past decade, no individual hospital program, policy or private product prescribed by regulatory agencies (State, Federal, NQF, HHS, or JCAHO) have had a measurable impact on the error rate. Medical errors are actually growing in number. This must cease…the public expects better.”

 

William Hoyes

CEO

 

 

 

 

eAppliedData is designed to successfully overcome the medical error pandemic. 

The protocol was not designed with a priority of saving time in error reporting. 

 

The engineering of the protocol did include factors that would ultimately reduce
the time expended in error reporting by standardizing the reporting process and therefore ultimately making
eAppliedData
the accepted, and only, protocol for error tracking and incident reduction.

 

 

Protocol

 

Accumulation of Data

  • Initial Subscriber Registration

  • Event Reporting

 

Application of Data (Constantly Available)

  • Statistical Analysis (Comparative Graphing)

  • Application of Statistics to Error Reduction

  • (Transfer of Knowledge)

 

 

I.   Initial Subscriber Registration

 

A one-time informational gathering procedure that allows confidential statistical comparisons between similar hospitals, facilities within a system or to national or global averages. 

 

It does little good to compare a 100-bed rural hospital with a 1500-bed teaching facility.  The information required is non-confidential and serves only to establish similarities.

 

Registration Review:   An example of this annual registration process may be viewed upon request.

 

 

II.  Adverse Event Reporting

 

Mandatory

 

Reporting of all errors in a non-punitive manner for the following classifications:

  • General and Peri-Operative

  • Medication

  • Failure to Rescue

  • Other

 

Electives

  • Nosocomial (As an Immediately Usable Supplement to the CDC’s NNIS Protocol)

  • Near Misses (JCAHO Requirement)

 

Event Reporting Outline

  • Event Severity (Mental & Physical)

  • Patient Information

  • Event Setting

  • Event Period

  • Event Classification (Type)

  • Personnel Involvement (by category and not individual)

  • Assistance in Determining Root Cause

  • Root Cause Assignment

 

 

III.   Statistical Analysis

 

Note: Error rate, (total and by type), expressed as a percentage of admissions, are accurate and not based upon previous years admissions.  Participants are required to enter previous month’s admission totals… twelve times per year.

 

 

The interfacing of event reporting and registration data that allows for statistical comparisons between similar facilities, all hospitals or facilities within a system.

 

These extensive charting comparisons are automatic, requiring no user input other then choosing any particular statistical description.

 

Review of Statistical Analysis (Graphing) may be made after requesting User Name and Password Assignment to eAppliedData Protocol

 

 

 

IV.  Application of Statistics to Error Reduction

 

Targets users with lower than average error rates of particular classifications, settings and period.

 

Procedural Investigation determines the common thread allowing or contributing to lower then average error rates in any particular facility or several facilities

 

Communication / Process Transfer of successful (product or SOP) departmental operational protocols to all other facilities having higher than average error rates.  Thus, the sharing of knowledge of those processes that have factually been proven to produce the fewest medical errors.

 

 

eAppliedData…..collects error data, like all other individualized attempts at reporting, BUT then makes immediately available, comparative charting data and daily statistical application in error reduction. eAppliedData is an interactive process patterned after the highly successful Aviation Safety Model

 

The collecting of error data is NOT the end result / goal.  The collection of data is merely a tool for incorporation into an end result that reduces errors while allowing hospitals constant and easy access to all statistics.

 

 

eAppliedData was NOT designed as a method for healthcare employee workload reduction.  Its design is solely for humanitarian purposes of immediate reduction in medical errors; thus the saving of lives and prevention of injury.

 

Duplicity in Error Reporting

 

In specific circumstances, eAppliedData may be able to accept “exported data” from other reporting protocols,
as the reports are entered
, as well as acting as a “data dump” for previous entries.
This allows for immediate data utilization through graphing comparisons and transfer of knowledge.

 

 

 

Planned (Near-Future) Enhancements

To eAppliedData

 

The collection of patient safety and quality of care data has far reaching potential for statistical usage in many diverse areas that concern facility decisions on equipment purchases, treatment choices, preventative maintenance and even, employee safety as well as compliance with OSHS Standards and/or JCAHO Requirements.  These avenues of attention, while not dealing directly with patient safety, (i.e. medical errors), will capitalize on the available gathered statistics in order to increase facility cash flow.

 

Subscribing hospitals will know factually which equipment offers the greatest degree of patient and employee safety as a comparison to the purchase and maintenance expense.  The included equipment ranges from ventilators, anesthesia machines, piped medical gas components, to treatment incidentals and various types of software such as those concerning medical records and medication delivery systems. 

 

No longer will facility CFO’s and purchasing agents, have to depend upon the claims made by manufactures but rather, they will have immediate access to national statistics as to what manufacture offers the safest and most reliable equipment while offering a more positive ratio of patient and employee safety to overall expense.  CFO’s then may make “informed decisions”.

 

 

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