14 Jun

New Patterns & CheckList Data Export

Now there’s a way to reduce
transcription, toggling, errors
with PeriCALM Data Export

New PeriCALM Data Export Feature

PeriGen introduces a new data export feature for Patterns and CheckList

PeriGen introduces the latest data integration improvement to PeriCALM® Patterns™ and PeriCALM® CheckList™: A data export feature designed to reduce time spent on transcribing EFM data and toggling between systems to capture and post it.

The new feature, the result of feedback received by a large number of labor & delivery clinicians at the 2015 AWHONN Convention, as well as current customers, was launched at PeriGen’s booth at this month during the annual AWHONN Convention in Grapevine, TX.

How PeriCALM Data Export Works

Patterns and CheckList data export allows PeriCALM users to select 15- or 30-minute EFM summary information for posting into an annotation and, where enabled, designated EHR fields in real-time with just a few clicks of the mouse.

The new features adds an icon that activates selection of a specific section of tracing and generates an Export Dialog.  The dialog automatically populates with a summary of FHR and uterine activity measurements for the specificed time range, as calculated by PeriCALM Patterns or CheckList.

This EFM data points are customizable and can include baseline, variability, the number and types of decels, etc.  The feature also allows the user to modify each data point and add comments.  Once reviewed and approved by the user, the data Export button sends the data to the tracing as an annotation.  If the associated EHR is configured to accept this data, the same click can send it to the EHR with a time, date, and user stamp.

The feature is designed to provide real-time data while saving labor & delivery clinicians time that’s currently wasted on transcription, toggling between screens and systems, and cumbersome calculations better handled by computer.

In early tests of the new feature, one user found she saved 5 minutes an hour while charting.  PeriGen will be conducting research to measure time-savings before and after the new data export feature is introduced at client hospitals.

Email perigen@perigen.com or contact your Client Executive to participate in these studies or see a demonstration of the new data export feature.

13 Jun

Full House for PeriGen Reception @ AWHONN

Short Stories of OB Malpractice

Full House for

“Short Stories of OB Malpractice &

How They Might

Have Been Avoided

Stephen Brzezinski, a leading OB malpractice defense attorney from Kitch, Drutchas Wagner Valitutti & Sherbrook, and Emily Hamilton, PeriGen Senior Vice President of Clinical Research presented to a packed house of labor & delivery directors, clinicians, educators, and risk managers last night at the AWHONN Convention in Grapevine, Texas.

The invitation-only presentation focused on factors leading to OB malpractice complaints as well as recent malpractice actions involving labor & delivery clinicians and offered practice strategies and discussion on how they might have been avoided.

Presentation slides are now available here

PeriGen is also exhibiting at the AWHONN Convention (Booth 615), where the event team will be offering demonstrations of the latest features of the PeriCALM obstetric decision support system, an electronic fetal monitoring (EFM) system that provides “safety net” benefits for labor & delivery clinical teams.

PeriGen is dedicated to helping prevent OB malpractice by providing enriched data that support clinical decisions at the bedside, at the nurses station and to providers remotely.

09 Jun

We Can Do Better

We Can Do Better

Recent research finds medical error third leading cause of death in USBy Matthew Sappern, CEO, PeriGen

Earlier this month, the well respected, widely read British Medical Journal published a scary study coming out of Johns Hopkins. Entitled Medical Error, the Third Leading Cause of Death in the US,  it immediately sparked debate in many corners as to the veracity of the data, the precision of the study, the complexity and limitations of actually compiling and analyzing this information. I’ll leave that to others – I see a blunt message here: We Can Do Better.

To me, this is not so much a question of enhanced training or personnel or protocols. Humans excel at critical thinking, but there will always be a “Human Factor” to manage – those few instances where a human misses something. This study begs the question “are there tools that can help clinicians at the bedside – patient by patient?” How can we best leverage technology to augment caregivers?

As you all know better than I, the clinical setting is challenging! At the labor and delivery bedside, nurses are monitoring and documenting several aspects of the labor, interacting and calming the patient, managing the patient’s family (Nurse Luisa, I apologize again for asking the same questions every five minutes 12 years ago), keeping the rest of the care team informed. All while looking for what might be faint indications of an intervention needed.

Fortunately, PeriGen customers have at their disposal some of the most advanced tools in the world to help share the load. PeriGen systems help count and calculate critical factors, providing a safety net for L&D clinicians and the world’s most precious patients. Other specialties in the hospital should take note of the great work that PeriGen users are delivering.

03 Jun

AI will always need humans

Watson and His AI Cousins Will

Always Need Humans:

AI will always need humans

Is the Converse True?

by Emily Hamilton
Senior Vice President, PeriGen

Most of us will easily concede that computers are better at number crunching than humans. How many of us, even in our prime, can quickly complete the dreaded serial sevens test? (counting down from one hundred by sevens, a clinical test used to test mental status) .

As for higher level functions like reasoning, clinical judgment, strategic planning, creativity, empathy surely these are better achieved by humans. Well yes, but maybe not always.

This year Google’s AlphaGo defeated a human champion at the ancient game of Go, not by brute force (calculating the best of every possible move at each turn) but by using deep neural networks to learn successful and efficient strategies. AlphaGo learned its strategies by playing the game. With modern computational capacity AlphaGo was able to play more games in a day and that a human could play in a decade. Furthermore, it could remember that experience!

Chess is not medicine. What does the evidence show in medicine?

In 1954 the acclaimed psychologist Paul E. Meehl began a debate that would last more than half a century when he compared the accuracy of clinical versus statistical methods to predict patient condition.(1) His analysis, described in the book Clinical vs. Statistical Prediction: A Theoretical Analysis and a Review of the Evidence, concluded that statistical   (e.g., explicit equations, actuarial tables, defined algorithmic prediction) outperformed clinical methods (e.g., subjective, informal, reasoning, clinical intuition).

Later in 2000, Grove et al published a comprehensive analysis of relevant publications on man versus machine methods. (2)  Their meta-analysis included 136 published reports and compared performance of clinical and statistical methods in a wide variety of domains. Their results confirmed the findings of Meehl! Statistical methods outperformed clinical methods again.

They reported that better performance with statistical methods held across subject matter (medical, mental health, forensic, academic performance ) although the advantage was greatest in the forensic domains. The level of clinician experience did not make a difference, even when the statistical methods were compared to the best performing clinician(s). Superior results were not entirely uniform.   In about half of the studies the difference was small and the clinical methods were approximately the same as the statistical methods. In about one third, the statistical methods substantially outperformed clinicians especially when clinical interviews were involved. That is, detection rates were higher by about 10% or more for predictions with intermediate accuracy. In a small minority, 6% of the studies, the clinical methods were better.

In 2006, Hilton et al reported similar findings and noted a widening gap between statistical and clinical methods when reviewing 66 years of research on the prediction of violence. (3) Reports in current medical literature differ somewhat. A recent review by Sanders et al showed more equivalence between clinical methods and statistical prediction using a wider variety of assessment measures.   Only 31 studies met their inclusion criteria highlighting both the relative scarcity of complex statistical techniques in clinical use and the scientific inadequacy of the comparison methods.(4)

There are many reasons to believe that clinical judgement is better today than in previous eras

Our basic understanding of disease has improved. We have better laboratory tests and higher standards for medical evidence and easier access to information. In fact, one could argue that the clinician today has better access and better information compared to many years ago when there were few genetic markers, biomarkers and environmental conditions to consider. In fact, we may have too much information. The very same mental processes that are essential to “size up” a situation efficiently in the face of so much information can also result in erroneous decisions on occasion.

Two well-established psychological phenomena bear special mention in any discussion of medical error. Recent events or vivid anecdotes form strong and highly influential memories that can distort our perception of the real incidence or usual consequences of specific scenarios. Tunnel vision refers to the tendency to perceive and confirm information that aligns with a particular viewpoint. It includes Framing bias – the tendency to create a coherent interpretation without examining all available information and Confirmation bias which refers to seeking only the information that supports a particular opinion. Finally, too much information can actually obscure critical information. These biases and the burden of too much information are not so problematic for statistical methods.

Pitting clinical methods against computer based methods is unrealistic. “Medical reasoning” and “statistical algorithms” are both derived from real clinical data   Moreover, clinicians incorporate statistical methods unconsciously when reasoning.   They consider the background general incidence of the condition, typical constellations of signs and symptoms and weigh the pros and cons of potential diagnosis and treatments. Many clinicians know and use scoring systems which are essentially simplified statistical weighting methods. Statistics is but a formalized mathematical way to analyze real data and then summarize it succinctly to help us make inferences. Thus one would expect performance measures of human and clinicians to converge.

Mark Twain is often credited with writing – “Facts are stubborn things, statistics are more pliable”. But in this context, clinicians are more pliable. Clinicians can obtain and integrate information from additional sources, see exceptions to the rules, factor in patient fears and desires and even make do with missing data. Clinicians communicate with patients, reason and have empathy. However, occasionally they get tired, take risky shortcuts and must deal with competing interests. In contrast, statistical facts are stubborn things and not subject to the effects of fatigue or recent experience. At present they are not very communicative nor empathetic. Robotic companions for seniors may change our opinion.

The strengths of human and statistical methods are complementary

The objective unbiased statistical methods help to counter the potential for human bias, reduce information overload and help the seasoned clinician make more confident decisions.   The idea of a clear division between clinical reasoning and statistical methods is becoming increasing blurred. The good news is that the best is yet to come and it will probably arrive on your phone.

  1. Meehl, P.E. (1954). Clinical versus statistical prediction: A theoretical analysis and a review of the evidence. Minneapolis: University of Minnesota
  2. Grove WM, Zald DH, Lebow BS, Snitz BE, Nelson C. Clinical versus mechanical prediction: a meta-analysis. Psychol Assess. 2000 ;12(1):19-30
  3. Hilton NZ, Harris GT, Rice ME, Sixty-Six Years of Research on the Clinical Versus Actuarial Prediction of Violence. The Counseling Psychologist, 2006 ; 34(3):400-409.
  4. Sanders S, Doust J, Glasziou P. A systematic review of studies comparing diagnostic clinical prediction rules with clinical judgment. PLoS One. 2015 Jun 3;10(6):e0128233.
  5. Lee YH, Bang H, Kim DJ. How to Establish Clinical Prediction Models. Endocrinol Metab (Seoul). 2016 Mar;31(1):38-44.
01 Jun

Your interview with Allan & Mike

Interview with Allan Kyburz Interview with Mike Espy

Meet Allan Kyburz and Mike Espy, two of PeriGen’s Client Executives.  They’ll be asking AWHONN National Convention attendees two very important questions at Booth 615:

  • How much time is wasted on double charting?
  • What would you do with 40 free minutes?

Those who stop by and answer will be broadcast, live, and have the option of getting a copy of the video to share with friends, colleagues, and family.

Click for more information
19 May

News from Ochsner Baptist

It’s been a short three months since PeriCALM® went live at Ochsner Baptist, but Melanie Williams, Director of Labor & Delivery is already seeing a positive impact.

“We’ve had 17 new nurses start since January 1st and PeriCALM Patterns is our saving grace,” says Melanie.

Like many obstetric units, Ochsner Baptist is seeing many of their more experienced clinicians retire and bringing on board less experienced nurses.  PeriCALM Patterns provides her team with a “safety net” for tracing assessment that, in conjunction with mentoring, reinforces their EFM skills in real-time, at a glance.

About Ochsner Baptist

Located in New Orleans, LA, Ochsner Baptist is home to a state-of-the-art Women’s Pavilion that makes it easier for women of all ages to connect to the expert they need. The site offers both standard and specialized obstetric and gynecological care that includes robotic surgery and high-risk maternal-fetal specialists.  The labor & delivery unit includes private perinatal and postpartum rooms, alternative birthing options such as water births and spa services.

About PeriCALM® Patterns™

Using NICHD guidelines, PeriGen’s patented pattern-recognition tool helps clinicians distinguish important labor trends.  While providing simultaneous, real-time viewing of FHR and contraction details, it also includes a four-hour view of the strip for trend analysis and visual cues that enable intuitive assessment of labor.  In addition, Patterns calculates and presents FHR patterns and contraction measures such as Montevideo units.

17 May

How US L&D Nurses fixed a problem

A story of cutting double chartingThis is a story about how labor & delivery nurses from across the United States fixed a problem.  And it’s not a fairy tale.  It all started at last year’s AWHONN National Convention when PeriGen asked those who stopped by the booth one simple question:

What’s your biggest EFM challenge?

The overwhelming answer:  Double documentation.  The waste.  The toggling between EFM and EHR. The resulting headaches, the inaccuracies, and the overtime.

We came back from the convention and got to work.  This year, again at the AWHONN National Convention at Booth 615, we’ll showcase our answer.  A way to cut double charting and way to help OB nurses spend more time on what matters most to them.

We’re even giving those who visit Booth 615 a chance to take home the gift of time, right away in the form of PeriGen’s “Gift of Time” watches.  Stop by and see the answer to your double charting challenges — and feel free to give us the next challenge on your list.

Click now to reserve your personal demonstration