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------=_NextPart_01C7DC5B.1E9CB6B0 Content-Location: file:///C:/4F2B3227/PQuinlanPtSpecificDosing_files/pres.xml Content-Transfer-Encoding: quoted-printable Content-Type: text/xml; charset="utf-8" ------=_NextPart_01C7DC5B.1E9CB6B0 Content-Location: file:///C:/4F2B3227/PQuinlanPtSpecificDosing_files/slide0001.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Patient Specific Dosing by Pam Quinlan
3D"PPT
Patient-Specific Dosing
From Prescr= ibing to Dispensing
Presented by…
Pam Quinlan
Business Development Manager Wolters Kluwer Health=
Tara Burkhart, R.Ph.
Brand Manager, Medi-Span®
3D"Wolters
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3D"PPT
Agenda=
•Welcome
•Industry attention on dosing
•Importance of patient-specific dosing
•Embedded data solutions
<= span style=3D'mso-special-format:bullet;color:#521B75;position:absolute;left:-4= .23%'>•Medication Order Management Database
<= span style=3D'mso-special-format:bullet;color:#521B75;position:absolute;left:-4= .23%'>•Drug Dosing & Administration Database
•Q & A
<= span style=3D'mso-special-format:bullet;color:#2D78BE;position:absolute;left:-4= .2%'>•Introduction to Clin-eguide / Demonstration
•Closing
•
------=_NextPart_01C7DC5B.1E9CB6B0 Content-Location: file:///C:/4F2B3227/PQuinlanPtSpecificDosing_files/slide0006.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Patient Specific Dosing by Pam Quinlan
3D"PPT
3DFactslogo3 3D"clineguide_logo" 3Dmedispan
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3D"PPT
To Err= is Human
•Betsy Le= hman – Boston Globe
•
•ISMP report identifying medical errors claim more lives per year than the 8th leading cause = of death.
•
3Dcover
Consid= er the heartbreaking story of a Boston Globe health reporter who received a fatal overdose of chemotherapy drugs at the Dana-Farber Cancer Institute - Bost= on's premier cancer treatment center. In November, 1994, Betsy Lehman, a 39-year-old mother of two, entered Dana-Farber for her third round of chemotherapy for breast cancer.
"= She was dealing with horrendous symptoms," her husband, then a scientist at Dana-Farber, told Globe reporters, who wrote an award-winning series on t= he story. "She was vomiting sheets of tissue. They [Lehman's physicians] said this was the worst they'd ever seen. But the doctors said this was a= ll normal."
On Dec= ember 3, 1994 - the day Lehman was to be discharged - she left a message on a friend's answering machine sometime after 11:00 in the morning. "She sounded = very distraught, tense and agitated," her friend, Hester Hill, told the Globe. "She said, 'I'm calling because I'm feeling very frightened, = very upset. I don't know what's wrong, but something's wrong.'"
At 12:= 15, when a member of Lehman's treatment team came into her room, she was dead. The cause: heart failure due to administration of toxic doses - four times the appropriate amount - of the drug cyclophosphamide for four days in a row.= The tragic error wasn't spotted until two months later, when an assistant data manager was doing a routine review of Lehman's hospital stay.
Unfort= unately, Lehman's case is just the tip of the iceberg, according to a 2000 report = from the Institute of Medicine (IoM), a division of the National Academy of Sciences. The report, which is the first in a series to be produced by the Quality of Health Care in America project, concluded that as many as 98,000 Americans die each year of medical mistakes -- more than the numbe= r of lives lost annually to car accidents, breast cancer, or AIDS. Even when u= sing conservative estimates, the number of deaths due to medical errors outran= ks the number of fatalities attributed to the eighth leading cause of death = in the United States. In fact, preventable injuries resulting from health ca= re affect an estimated three percent to four percent of hospital patients.
Medica= tion errors alone kill more than 7,000 people each year, according to the report - mo= re than the 6,000 people lost to workplace injuries annually. A 1997 study f= ound that, on average, two preventable adverse drug events occurred per every = 100 admissions. This drove up hospital costs by about $4,700 per admission, or $2.8 million annually for a 700-bed hospital. If these findings are appli= ed to the entire U.S. hospital system, preventable adverse drug events cost = some $2 billion annually.
And, t= hat figure is for inpatients alone; it doesn't factor in the costs of medication errors that occur in clinics, nursing homes, and other outpatient settings. Consider that in 1998, U.S. pharmacies filled nearly 2.5 billion prescriptions, costing some $2 billion. A number of studies have document= ed medication errors resulting from mistakes made in prescribing drugs, erro= rs in the way the medications were dispensed, and unintentional failure of patients to adhere to a prescribed drug regimen.
Resear= ch also indicates that children run an especially high risk of suffering a medica= tion error. In one study of more than 100,000 prescriptions, for example, investigators found nearly 500 drug orders with errors, 27 of which were potentially lethal.
Accord= ing to David Lawrence, MD, chairman and CEO of the Kaiser Foundation Health Plan in Oakland, California, and one of the 19 expert authors of the report, the = root cause of the crisis is the fragmented delivery of health care - with doct= ors, hospitals, and other health-care providers often operating independently.= But despite the prevalence of errors and high-profile cases like Lehman's, silence surrounds the issue, according to the IoM.





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quoted-printable Content-Type: text/html; charset="us-ascii" Patient Specific Dosing by Pam Quinlan
3D"PPT
In the past…
•For a given drug there was “a dose”
•More complex drug entities and serious potential for adv= erse effects have forced us to look at dosing a bit differently.
3Dpharmacy
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3D"PPT 3DKK1421-twins
Patien= t-Specific Dosing
WEIGHT: 33 lbs=
WEIGHT: 33 lbs=
AGE: 24 MONTHS=
AGE: 24 months=
CrCl: 70 ml/mi= n
CrCl: 40 ml/mi= n
INDICATION: Oropharyngeal candidiasis
INDICATION: Oropharyngeal candidiasis
Fluconazole Dose: 45mg orally daily
Fluconazole Dose: 22.5 mg orally daily
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3D"PPT
Dosing Tools
=
3D"cpoe1_b"
•Support and enhance the dosing = art, not a replacement for clinical expertise and judgment.= 3;
<= span style=3D'mso-special-format:bullet;color:#2D78BE;position:absolute;left:-6= .57%'>•Not “Cookbook Medicine”
•Provides Up-To-Date Information
<= span style=3D'mso-special-format:bullet;color:#521B75;position:absolute;left:-6= .04%'>•New Drugs
<= span style=3D'mso-special-format:bullet;color:#521B75;position:absolute;left:-6= .04%'>•New Dosing
<= span style=3D'mso-special-format:bullet;color:#521B75;position:absolute;left:-6= .04%'>•New Information
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3D"PPT
Embed= ded Data Solutions
•Medication Order Management Database
•= MOMD
•
•Drug Dosing & Administration Da= tabase
•= DDAD
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3D"PPT
•Medication Order Management Database™ =
•Assists clinician to identify the clinically appropriate medication order or “sig” for prescribing
•Drug Dosing & Administration Database™
•Screens a prescribed dosage to ensure over- or under-dosage does not occur.
•Daily Dose
•Single Dose
•Frequency
•Duration
•Lifetime Dose
Embedded Data Solutions
------=_NextPart_01C7DC5B.1E9CB6B0 Content-Location: file:///C:/4F2B3227/PQuinlanPtSpecificDosing_files/slide0017.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" Patient Specific Dosing by Pam Quinlan
3D"PPT
Screen prescribed dosage of drug for accuracy
Doctor
Pharmacist
MOMD
Patient
<= span style=3D'font-family:"Trebuchet MS";mso-ascii-font-family:"Trebuchet MS"; mso-hansi-font-family:"Trebuchet MS";font-size:33%;color:black;mso-color-i= ndex: 1'>Appropriate SIG options are suggested to the physician for selection
(in format desired)
DDAD
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3D"PPT
Patie= nt-Specific Dosing Solutions
•Patient Parameters Considered:= 3;
<= span style=3D'font-size:75%;color:#521B75'>•Age
<= span style=3D'font-size:80%'>•Traditional Age
<= span style=3D'font-size:80%'>•Gestational / Postmenstrual Age
<= span style=3D'font-size:75%;color:#521B75'>•Weight
<= span style=3D'font-size:75%;color:#521B75'>•Body Surface Area
<= span style=3D'font-size:75%;color:#521B75'>•Renal Function
<= span style=3D'font-size:80%'>•Creatinine Clearance
<= span style=3D'font-size:80%'>•Urine Output
<= span style=3D'font-size:75%;color:#521B75'>•Co-Morbidities
<= span style=3D'font-size:80%'>•Hepatic Insufficiency
<= span style=3D'font-size:80%'>•Concomitant Drug Therapy
<= span style=3D'font-size:75%;color:#521B75'>•Indication
<= span style=3D'font-size:75%;color:#521B75'>•Route
<= span style=3D'font-size:75%;color:#521B75'>•Dose Type
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