ETHICS IN RESEARCH AND HEALTHCARE STATISTICS

A.  Discuss health information data measurement by doing the following:

1.  Explain the differences between discrete and continuous data in health information research.

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2.  Provide one example from healthcare of each of the following scales of measurement:

•  nominal

•  ordinal

•  interval

•  ratio
 

B.  Using the scenario, provide the following information by utilizing statistical formulas from the “Task 1 Formulas” attachment:

1.  Calculate the average length of stay (LOS) of discharged patients for the months of May and June.

2.  Calculate the death rate of patients discharged for the months of May and June.

3.  Calculate the average daily inpatient census report for the hospital for the months of May and June.

4. Create a chart or graph showing your findings.
 

C.  Using the attached “Felder LOS Data,” perform a regression analysis on 20 patients with an average length of stay (LOS) of four days and average charges above $27,000. Submit the “Regression Analysis Calculations” spreadsheet as an attachment to your submission.
 

Note: The Regression Analysis function is found in the Data Analysis Toolpak. The Analysis ToolPak includes the tools described in the following sections. To access these tools, click Data Analysis in the Analysis group on the Data tab. If the Data Analysis command is not available, you need to load the Analysis ToolPak add-in program.

D.  Explain how Felder Community Hospital could use the statistical data calculated in parts B and C to improve healthcare delivery.
 

E.  Using the American Health Information Management Association (AHIMA) code of ethics, do the following:

1.  Describe how the code of ethics relates to HIM professional conduct.

2.  Explain how principles from the AHIMA Code of Ethics regarding collection and reporting of HIM data should be applied to the scenario.

3.  Discuss how HIPAA regulations should be applied to the research performed in the scenario.
 

F.  Acknowledge sources, using APA-formatted in-text citations and references, for content that is quoted, paraphrased, or summarized.
 

G.  Demonstrate professional communication in the content and presentation of your submission.

ICP1 Task 1: Ethics in Research and Healthcare Statistics

Statistics for Felder Community Hospital
Total Discharges Discharge Days

(Combined LOS)
Service Days

(Patient Days)
Deaths

May: 3,846
Days in May: 31

13,965 days 4,360 62

June: 4,018
Days in June: 30

16,224 days 4,920 15

*Note: Total Discharges include Deaths

PAGE 1

ICP1:Ethics in Research and Healthcare Statistics

Felder Post-Implementation Assessment

Felder Post-Implementation Assessment

EHR Release of Information Log
Records are requested in the department using a form or by logging on to the patient portal. All records are sent via encrypted email,

automatically faxed, or prepared for patient pick up.

Release of Information Log- Electronic Health Record

Release of Information Approvals
Request Date: (Insert date) Approval: (Approved/Pending) Date Filled: (Insert Date) Approver ID: (Insert staff ID)
Patient Name: (insert patient name) Status: (Insert Status)

Request Date Date
Filled

Item Type Patient Name Approver Status Completion
Method

Actions/Notes

3/24/17 History & Physical Moore, Mary Ellen HIM Mgr. Pending
4/2/17 4/4/17 Complete Record Henry, Mark Aaron HIM Supv. Completed Fax No further action required

4/8/17 Complete Record Jones, Sue Ann ROI Mgr. Pending Incomplete record

4/9/17 4/9/17 Operative Report Parker, Lottie Mae HIM Mgr. Completed Email No further action required

4/20/17 5/18/17 Complete Record Douglas, Henry Allen HIM Supv. Completed Print/Pickup No further action required

ICP1: Ethics in Research and Healthcare Statistics Felder Post-Implementation Assessment

Release of Information
Manual Release of Information Log
Records are requested in the department using a form. All records are copied and mailed, faxed, or prepared for patient pick up. Hospital time

frame is within 30 days of request

Felder Community Hospital

Release of Information Request Log

Patient Name Date of
Birth

Social Security
Number

Medical
Record
Number

Date
Requested

Date Filled Method

Mary Ellen Smith 2/16/45 xxx-xx-1453 365874 9/22/16 10/1/16 Mailed

James Quincy Robert 1/8/65 xxx-xx-5623 523845 1/4/17 2/12/17 Faxed

Carl Tyrone Biggs 7/12/75 xxx-xx-9696 745854 1/6/17 1/20/17 Mailed
Janice Elaine Moore 6/19/57 xxx-xx-6587 125487 2/1/17 3/20/17 Mailed

Crystal Lynn Mayfair 1/4/82 xxx-xx-6258 458256 2/12/17 2/14/17 Mailed

Cynthia Marie Jones 6/4/76 xxx-xx-5241 749652 3/1/17 3/17/17 Faxed
John Earl Wright 4/4/84 xxx-xx-9874 635241 3/1/17 4/2/17 Pt. Pick Up

Henry Allen Moore 8/12/46 xxx-xx-1489 748741 3/6/17

Connie Ann Lee 7/4/76 xxx-xx-4151 366587 4/1/17 4/6/17 Mailed

ICP1: Ethics in Research and Healthcare Statistics Felder Post-Implementation Assessment

Coding Life Cycle: Paper Records

The patient is discharged from the unit. The chart goes to chart completion. Flags are placed in the chart and doctors are notified of their

deficiencies. Once the chart is completed, the flags are removed from completed charts and the charts are added to the red coding cart.

These charts are ready for coding. Coders pick up charts for manual completion starting with the oldest. Coders begin working on charts.

There is a 72-hour turnaround time for charts with no deficiencies. Charts with queries are placed in the yellow query cart. Completed charts

are placed in the green completed coding cart with the coding abstract form attached. They are ready to be filed.

Coding Life Cycle: Electronic Health Records

The patient is discharged from the unit. The record is made available in the Electronic Health Record. The chart goes to the Deficiency

Analysis work queue. Charts with missing documentation used for coding are flagged electronically and sent to the physician. Charts that

have no deficiencies are then added to the coding work queue and made available for coders. There is a 48-hour turnaround time on

electronic charts. Coders complete coding using the integrated encoder. Once all codes are added, they click “submit” and the chart is

completed.

ICP1: Ethics in Research and Healthcare Statistics

P A GE 1

Task 1 Formulas

Measurement Formula Example

Average length of stay
(ALOS) of discharged
patients

The average number of days
that inpatients (exclusive of
newborns) remained in the

hospital.

Total length of stay of
discharged patients for given
period

Total number of discharges
and deaths in the same
period

In June a hospital
discharged 2,086 patients
(including deaths, but

excluding newborns). Their
combined length of stay
was 13,654 days.

Using the above formula,
the average length of stay
of these patients is as
follows:

13654
2086 = 6.54 or 6.5 days

Average Daily Census
(Average Daily Bed
Occupancy)

The average number of
inpatients present each day
for a given time period. This
figure is derived by dividing
the sum of patient days for a
period by the number of days
in the same period.

Total number of patient days
for a period (except
newborn)

Total number of days in the
same period

In May a hospital rendered
4,280 patient days
(excluding newborn
babies). May has 31 days.

Using the above formula,
the average daily census is
calculated as follows:

4280
31 = 138.06 or 138.1

This would be rounded to
give the average daily
inpatient census during
May of 138 patients.

Hospital Death Rate

A ratio of all inpatient deaths

for a given period to the total
number of discharges and
deaths in the same period.

Total number of deaths of
inpatients in a given period x
100

Total number of discharges
and deaths in the same
period

A hospital had a total of 15
deaths during the month
of June.

A total of 540 patients
were discharged (including
the 15 deaths) during the

month.

The hospital death rate
according to the above

formula is as follows:

15 × 100
540 = 2.77 or 2.8%

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