COLONOSCOPIES: Statistical Update

By Dr. David Edward Marcinko MBA

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DEFINITION: A Colonoscopy and/or sigmoidoscopy are procedures that let your doctor look inside your large intestine. They use instruments called scopes. Scopes have a tiny camera attached to a long, thin tube. The procedures let your doctor see things such as inflamed tissue, abnormal growths, and ulcers.

EDITOR’S NOTE: The ME-P does not normally discuss medical or clinical matters. But, this report is noteworthy to all.

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About 15 million colonoscopies are performed in the US yearly as part of standard preventive care for adults over 45, but a new study has called into question whether all the footage from those tiny cameras is really necessary.

Over a 10-year period, people who had the screenings were 18% less likely to develop colon cancer than people who didn’t, according to the study in the New England Journal of Medicine. However, the risk of death from the cancer for both the screened and un-screened was about the same, hovering around 0.3%.

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HEALTH INSURANCE: https://www.amazon.com/Dictionary-Health-Insurance-Managed-Care/dp/0826149944/ref=sr_1_4?ie=UTF8&s=books&qid=1275315485&sr=1-4

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What is Corporate “ENTERPRISE” Financial Value?

THE E.V. MATH FORMULA

CMP logo

By Dr. David E. Marcinko MBA CMP®

SPONSOR: http://www.CertifiedMedicalPlanner.org

The enterprise value [EV] tends to be thought of as a theoretical takeover price if a company were to be bought. It is calculated as market capitalization plus debt, minority interest and preferred shares, minus total cash and cash equivalents.

CITE: https://www.r2library.com/Resource/Title/0826102549

Enterprise value = common equity at market value (this line item is also known as “market cap”) + debt at market value (here debt refers to interest-bearing liabilities, both long-term and short-term) + minority interest at market value, if any + preferred equity at market value + unfunded pension liabilities and other debt-deemed provisions – value of associate companies – cash and cash equivalents.

MORE: https://en.wikipedia.org/wiki/Enterprise_value

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FINANCE: https://www.amazon.com/Comprehensive-Financial-Planning-Strategies-Advisors/dp/1482240289/ref=sr_1_1?ie=UTF8&qid=1418580820&sr=8-1&keywords=david+marcinko

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HOSPITALS: https://www.amazon.com/Financial-Management-Strategies-Healthcare-Organizations/dp/1466558733/ref=sr_1_3?ie=UTF8&qid=1380743521&sr=8-3&keywords=david+marcinko

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BANKS: Goldman Sachs Overhaul

By Staff Reporters

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Goldman Sachs is planning a major overhaul that would combine its investment banking and trading businesses into one unit and its asset and wealth management branches into another.

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Bank Types: https://medicalexecutivepost.com/2022/10/14/the-three-various-types-of-banks/

FINANCE: https://www.routledge.com/Comprehensive-Financial-Planning-Strategies-for-Doctors-and-Advisors-Best/Marcinko-Hetico/p/book/9781482240283

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What is Health Insurance Network STEERAGE?

By Staff Reporters

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What is health plan network steerage?

Network steerage is the practice of directing employees and members on your benefits plan to in-network doctors, hospitals, and other points of care. A network steerage strategy is crucial for healthcare payers who are looking to tackle high healthcare costs. An admirable goal.

CITE: https://www.r2library.com/Resource/Title/0826102549

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But, what is steerage – really?

The Centers for Medicare & Medicaid Services has raised concerns about a hospital practice known as “steerage”–which involves a provider buying commercial insurance coverage for patients who are already eligible for Medicare or Medicaid coverage in order to obtain higher levels of reimbursement.

IOW: The plan charges a fixed monthly fee so its members can receive health care. There will be a small co-payment for each doctor visit; however with the HMO, fees can be fore-casted unlike a fee-for-service insurance plan. Although freedom of choice is given up, out-of-pocket expenses are very low.

RELATED CONCERNS: https://www.fiercehealthcare.com/finance/cms-looking-for-data-practice-steerage-hospitals-voice-concern

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TEXT: https://www.amazon.com/Business-Medical-Practice-Transformational-Doctors/dp/0826105750/ref=sr_1_9?ie=UTF8&qid=1448163039&sr=8-9&keywords=david+marcinko

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DHIMC: https://www.amazon.com/Dictionary-Health-Insurance-Managed-Care/dp/0826149944/ref=sr_1_4?ie=UTF8&s=books&qid=1275315485&sr=1-4

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MEDICINE: https://www.amazon.com/Business-Medical-Practice-Transformational-Doctors/dp/0826105750/ref=sr_1_9?ie=UTF8&qid=1448163039&sr=8-9&keywords=david+marcinko

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What is “Clinical Equipoise” in Medicine?

Equipoise

[By staff reporters]

Clinical equipoise, also known as the principle of equipoise, provides the ethical basis for medical research that involves assigning patients to different treatment arms of a clinical trial.

The term was first used by Benjamin Freedman in 1987, although references to its use go back to 1795 by Dr. Edward Jenner. In short, clinical equipoise means that there is genuine uncertainty in the expert medical community over whether a treatment will be beneficial. This applies also for off-label treatments performed before or during their required clinical trials.

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READ: https://www.ahajournals.org/doi/full/10.1161/CIRCRESAHA.116.309594

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PODCAST: EMRs are a MESS!

By Eric Bricker MD

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HIT: https://www.amazon.com/Dictionary-Health-Information-Technology-Security/dp/0826149952/ref=sr_1_5?ie=UTF8&s=books&qid=1254413315&sr=1-5

MORE: https://medicalexecutivepost.com/2022/03/28/emrs-laugh-or-cry/

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PODCAST: Healthcare Machine Learning Can Self Create / Improve Algorithms?

Machine Learning is a Subset of Artificial Intelligence (AI) Where Computer Software Can Create and Improve on Algorithms on Its Own.

Machine Learning for Population Health

PODCAST: 'Hacking of the American Mind' | The Leading ...

By Eric Bricker MD

Healthcare Machine Learning Company ClosedLoop.ai is One of the Best at Applying Machine Learning to Population Health Data.

ClosedLoop.ai is So Good, They Won the CMS AI Challenge … Beating Out 300 Other Organizations Including IBM, the Mayo Clinic and Deloitte.

The Promise of Machine Learning in Population Health is to Better Predict Which People Will Benefit From an Intervention Because They Are at Greater Risk of a Complication of a Disease or an ER Visit or a Hospitalization.

ClosedLoop.ai Beautifully Applied Their Machine Learning Abilities to Create a Pandemic Risk Model That Helped a New York City Health Insurance Plan Identify Which Members Would Be Most Likely to Have Severe Complications of COVID-19.

As a Result, the Insurance Company Helped These Individuals Have Groceries and Prescription Medication Delivered to Them So They Could Stay at Home and Avoid Exposure to COVID.

There You Have It!  A Practical, Real-World Example of Machine Learning in Population Health That Literally Saved Some People’s Lives.

Disclaimer: Dr. Bricker is the Chief Medical Officer of Virtual Care Company First Stop Health.

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HIT: https://www.amazon.com/Dictionary-Health-Information-Technology-Security/dp/0826149952/ref=sr_1_5?ie=UTF8&s=books&qid=1254413315&sr=1-5

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