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Patient Code Software
 Co-founder Corey Park, CEO of Academic Technology Ventures (ATV)
 Co-founder Todd Griffith, a partner of ATV
 Exclusive license from Stony Brook University
 Patent pending
The Problem
 Medical Errors are the 3rd leading
cause of death in the United States.
 An estimated 10 to 20% of cases are
misdiagnosed – exceeding drug errors
and surgery on the wrong patient or
body part.
 Misdiagnosis accounted for 14% of all
adverse events. 75% of these errors
involved negligence.
 Diagnostic errors are the leading cause
of malpractice litigation.
 500,000 missed diagnostic opportunities
that occurred out of the 500 million
primary care visits that occur annually in
the United States.
http://www.ncpa.org/sub/dpd/index.php?Article_ID=23148cvcv BMJ 2016;353:i2139 doi: 10.1136/bmj.i2139 (Published 3 May 2016)
Impact on Healthcare
 30% of annual healthcare spending in the United States, approximately $750
billion, is wasted on unnecessary services and other inefficiencies
 28% of 583 mistakes were life threatening, resulted in death, or permanent
disability.
 40K – 80K deaths per year are due to diagnostic errors.
 Patients and their families bear the more significant costs of diagnostic errors:
 lifelong care for permanent disabilities, lost income due to the patient’s premature
death or disability, and incurred debt.
 Businesses are impacted through the loss of experienced employees, lost
productivity, and increased insurance payouts.
https://www.pinnaclecare.com/download/Human-Cost-Financial-Impact-Whitepaper.pdf
 Real time decision support tool
 Accurate diagnosing
 Documentation of diagnosis with
trending results at the finger tips
of the provider
 Key data points:
 Lab Results
 Radiology
 EKG Reports
 Echocardiogram Reports
 Other Clinical Data
 Embedded workflow
 Seamless integration
(Example of PtCS Dashboard running on Cerner)
Pilot Hospital
Pilot hospital:
 Academic general medical and surgical hospital
 630 beds
2015
Admissions: 32,008
Inpatient Surgeries: 8,579
Outpatient Surgeries: 11,617
ER Visits: 88,085
Four Year Field Study
Immediate results:
 Increase in CMI
 2015, continued increase in CMI without
Cardiothoracic services
 Clinical document improvement
 Decrease in O/E mortality rates
 Decrease in length of stay (LOS)
 Increased in bed turn over
 Decrease in readmission rates
 $4.2 million increase in revenue every year
since 2012
 Cost savings of $450K in reduction of FTE
positions
1.49
1.72 1.73
1.78
1.81 1.81
1
1.05
1.1
1.15
1.2
1.25
1.3
1.35
1.4
1.45
1.5
1.55
1.6
1.65
1.7
1.75
1.8
1.85
1.9
1.95
2
2011 2012 2013 2014 2015 2016
YEARLY AVERAGE CASE MIX INDEX
Cardiothoracic
Services discontinued
Their increase in CMI equates to $4.2 million on an annual basis since 2012
O/E Mortality Index
0
0.5
1
1.5
2
2.5
2009 2010 2011 2012 2013 2014
Total Inpatient
Mortality Rate Index (%)
Observed Expected
2012 Q3
PtCS Intervention
Documentation Review
Provider Documentation
Method
# of Reviewed
Cases (96)
Total # of Missed
Dx
Missed Dx per
Case
Cases with
One Missed Dx (%)
Electronically (Template) 13 56 4.3 100%
Comorbidity sheet 48 51 1.1 87.5%
PtCS 35 9 0.3 27.3%
The above table shows that there are significantly fewer patients with missed diagnoses when PtCS
is used than in either of the other two groups (statistical significance p<.001)
• Average time taken by clinical documentation specialists to document the comorbid conditions in a
patient’s EHR: 9 minutes
• Average time taken by clinician with PtCS: 3 minutes
Documentation Time Savings
Reduction in undocumented afflictions
 75% more diagnoses when compared to using physician
documentation alone.
 Increased CMI resulting in over $4 Million in additional
revenue.
 Better Physician Performance Ratings
Significant impact on hospital savings
 1/3rd the amount of time necessary to identify a comorbidity.
 Reduction in difference between observed and expected
mortality
 Reduced risk/liability for hospital
 Increased throughput
Benefits
The Value of PtCS
Better Patient
Care
 Reduced
Observed vs.
Expected Mortality
Delta
 Improved
Physician Ratings
 Reduced Hospital
Time
 Fewer Re-
Admissions
Better Financial
Performance
 Accurate CMI
 Higher Thru-Put
 More Billable Items
 Reduced Liability
 Reduced Time to
Bill
Value Proposition
Criteria
Contributing
Output
The Competition
There are currently NO OTHER applications in healthcare IT space that are substantially similar
to that of PtCS. PtCS is a REAL TIME decision support application. It allows for accurate and
efficient documentation of diagnoses upon the initial assessment or admission. It is integrated
seamlessly into the hospital’s EHR. Physicians have all evidence based results at their fingertips
without having to “search” for patient information.
Patient Code Software Team
Dr. Donald Thomas III, CEO
• 30+ years experience in healthcare
• Former CMO for L.A. County Health
Department
• Restructured Medicaid medical division for a
major health insurer
Todd Griffith, CTO
• 20+ years experience in Technology
• Co-founder, PtCS
Marie Franko, RN, BSN, VP Business Development
Army Veteran
• 16+ years of experience in healthcare
• 8+ years experience of healthcare IT
• Expertise is focused on the SDLC, current and
future workflow analysis, project and change
management, training, and sales
Mark Tumblin, Advisor
• 30+ years experience in healthcare IT
• Leadership roles at Symphony Performance
Health, Press Ganey, and LifeWatch to name a
few, serving as COO, CIO, and CSTO.

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PtCS_Demo_Sales_v2016.3

  • 1.
  • 2. Patient Code Software  Co-founder Corey Park, CEO of Academic Technology Ventures (ATV)  Co-founder Todd Griffith, a partner of ATV  Exclusive license from Stony Brook University  Patent pending
  • 3. The Problem  Medical Errors are the 3rd leading cause of death in the United States.  An estimated 10 to 20% of cases are misdiagnosed – exceeding drug errors and surgery on the wrong patient or body part.  Misdiagnosis accounted for 14% of all adverse events. 75% of these errors involved negligence.  Diagnostic errors are the leading cause of malpractice litigation.  500,000 missed diagnostic opportunities that occurred out of the 500 million primary care visits that occur annually in the United States. http://www.ncpa.org/sub/dpd/index.php?Article_ID=23148cvcv BMJ 2016;353:i2139 doi: 10.1136/bmj.i2139 (Published 3 May 2016)
  • 4. Impact on Healthcare  30% of annual healthcare spending in the United States, approximately $750 billion, is wasted on unnecessary services and other inefficiencies  28% of 583 mistakes were life threatening, resulted in death, or permanent disability.  40K – 80K deaths per year are due to diagnostic errors.  Patients and their families bear the more significant costs of diagnostic errors:  lifelong care for permanent disabilities, lost income due to the patient’s premature death or disability, and incurred debt.  Businesses are impacted through the loss of experienced employees, lost productivity, and increased insurance payouts. https://www.pinnaclecare.com/download/Human-Cost-Financial-Impact-Whitepaper.pdf
  • 5.  Real time decision support tool  Accurate diagnosing  Documentation of diagnosis with trending results at the finger tips of the provider  Key data points:  Lab Results  Radiology  EKG Reports  Echocardiogram Reports  Other Clinical Data  Embedded workflow  Seamless integration (Example of PtCS Dashboard running on Cerner)
  • 6. Pilot Hospital Pilot hospital:  Academic general medical and surgical hospital  630 beds 2015 Admissions: 32,008 Inpatient Surgeries: 8,579 Outpatient Surgeries: 11,617 ER Visits: 88,085
  • 7. Four Year Field Study Immediate results:  Increase in CMI  2015, continued increase in CMI without Cardiothoracic services  Clinical document improvement  Decrease in O/E mortality rates  Decrease in length of stay (LOS)  Increased in bed turn over  Decrease in readmission rates  $4.2 million increase in revenue every year since 2012  Cost savings of $450K in reduction of FTE positions 1.49 1.72 1.73 1.78 1.81 1.81 1 1.05 1.1 1.15 1.2 1.25 1.3 1.35 1.4 1.45 1.5 1.55 1.6 1.65 1.7 1.75 1.8 1.85 1.9 1.95 2 2011 2012 2013 2014 2015 2016 YEARLY AVERAGE CASE MIX INDEX Cardiothoracic Services discontinued Their increase in CMI equates to $4.2 million on an annual basis since 2012
  • 8. O/E Mortality Index 0 0.5 1 1.5 2 2.5 2009 2010 2011 2012 2013 2014 Total Inpatient Mortality Rate Index (%) Observed Expected 2012 Q3 PtCS Intervention
  • 9. Documentation Review Provider Documentation Method # of Reviewed Cases (96) Total # of Missed Dx Missed Dx per Case Cases with One Missed Dx (%) Electronically (Template) 13 56 4.3 100% Comorbidity sheet 48 51 1.1 87.5% PtCS 35 9 0.3 27.3% The above table shows that there are significantly fewer patients with missed diagnoses when PtCS is used than in either of the other two groups (statistical significance p<.001) • Average time taken by clinical documentation specialists to document the comorbid conditions in a patient’s EHR: 9 minutes • Average time taken by clinician with PtCS: 3 minutes Documentation Time Savings
  • 10. Reduction in undocumented afflictions  75% more diagnoses when compared to using physician documentation alone.  Increased CMI resulting in over $4 Million in additional revenue.  Better Physician Performance Ratings Significant impact on hospital savings  1/3rd the amount of time necessary to identify a comorbidity.  Reduction in difference between observed and expected mortality  Reduced risk/liability for hospital  Increased throughput Benefits
  • 11. The Value of PtCS Better Patient Care  Reduced Observed vs. Expected Mortality Delta  Improved Physician Ratings  Reduced Hospital Time  Fewer Re- Admissions Better Financial Performance  Accurate CMI  Higher Thru-Put  More Billable Items  Reduced Liability  Reduced Time to Bill Value Proposition Criteria Contributing Output
  • 12. The Competition There are currently NO OTHER applications in healthcare IT space that are substantially similar to that of PtCS. PtCS is a REAL TIME decision support application. It allows for accurate and efficient documentation of diagnoses upon the initial assessment or admission. It is integrated seamlessly into the hospital’s EHR. Physicians have all evidence based results at their fingertips without having to “search” for patient information.
  • 13. Patient Code Software Team Dr. Donald Thomas III, CEO • 30+ years experience in healthcare • Former CMO for L.A. County Health Department • Restructured Medicaid medical division for a major health insurer Todd Griffith, CTO • 20+ years experience in Technology • Co-founder, PtCS Marie Franko, RN, BSN, VP Business Development Army Veteran • 16+ years of experience in healthcare • 8+ years experience of healthcare IT • Expertise is focused on the SDLC, current and future workflow analysis, project and change management, training, and sales Mark Tumblin, Advisor • 30+ years experience in healthcare IT • Leadership roles at Symphony Performance Health, Press Ganey, and LifeWatch to name a few, serving as COO, CIO, and CSTO.

Editor's Notes

  1. DiagnosisPro and DxPlain Although DxPlain and Diagnosis Pro are still available, QMR and Iliad have all but faded away. These systems were highly developed, but were limited by the technology available when they were launched. The tools are “rules-based systems,” which means that each symptom is associated with a particular disease with an assigned probability. These systems work satisfactorily on a small scale, but become difficult to manage on a large scale as each symptom or diagnosis needs to be kept up to date. The rigid nature of a rules-based system also means that the user can only enter a feature that is in the system’s database. A by-product of this problem is that it makes it more difficult to fully integrate these systems into electronic medical record systems.  DiagnosisPro is a free, accurate and time saving differential diagnosis tool that reminds you instantly of diagnostic possibilities and minimizes medical errors. By simply entering one or more findings or conditions, DiagnosisPro instantly generates a hierarchical list of diagnoses from its database of over 11,000 diseases, 30,000 findings, and 300,000 relationships. To explore a medical diagnosis further, you can utilize the valuable Disease Review and Disease Comparison features of DiagnosisPro. IBM Watson Provide personalized care with greater diagnostic certainty. Watson Health solutions gives you the ability to see and analyze once-invisible data and evaluate it in light of the world’s leading medical literature and evidence based guidelines. The insights you discover can bring a new level of confidence to the care you provide. IBM Watson has more recently entered the medical diagnosis field, seeking to adapt its Jeopardy! - winning system into a tool for diagnosis and treatment. IBM expects to have the first pilot version ready in 2014. Watson aims to use both SNLP and NLP applied to a broad base of 200mn documents from textbooks through blogs.  Isabel The Isabel Symptom Checker The Isabel Symptom Checker is very different. For the first time, it gives you access to a highly sophisticated medical diagnosis tool that is much more powerful than previously available symptom checkers. Using the latest searching technologies, the system can take a pattern of symptoms in everyday language and instantly compute from our vast database of 6,000 diseases, the most likely ones. It is based on the same system that is relied on by doctors and nurses around the world to help with diagnosis and is acknowledged as the clear leader in its field. The Isabel Symptom Checker puts the world’s medical knowledge at your fingertips and enables you to make sense of your symptoms. It will change the way you speak to your doctor forever. Isabel marked the new generation of diagnostic tools and was first introduced in 2001.Isabel uses a statistical natural language processing (SNLP) engine applied to a database of disease presentations rather than a rules based model.  VisualDx VisualDx is another system but is based on digital images and allows clinicians to build a visual differential diagnosis based on patient findings which are visible on the skin.