Business Analytics in Orchard Harvest LIS. Nancy Stoker, MLS(ASCP) Orchard Software Symposium June 17-18, 2014
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1 Business Analytics in Orchard Harvest LIS Nancy Stoker, MLS(ASCP) Orchard Software Symposium June 17-18, 2014
2 Why analytics?
3 Laboratory Data Analytics Laboratory data impacts healthcare in a variety of ways: Monitors test utilization Physician education Patient compliance Laboratory quality monitors Orchard Software Symposium June 17th and 18th
4 Focus of this session Result Browsers to support business initiatives and quality metrics Order Browsers to manage laboratory productivity Patient Browsers to monitor patient compliance Orchard Software Symposium June 17th and 18th
5 Lab Plays Central Role with Data Analytics Follow the money Information is the new currency in healthcare The lab holds the key Orchard Software Symposium June 17th and 18th
6 Browsers in Harvest The data is YOURS Available Browsers Result Browser Patient Browser Order/Case Browser Order Choice/Specimen Browser Orchard Software Symposium June 17th and 18th
7 Overview - Browser Types Result Browser: test level fields Patient Browser: patient level fields Order/Case Browser: order level fields Order Choice/Specimen Browser: order choice fields Orchard Software Symposium June 17th and 18th
8 How Do I Begin??? Begin at the end! Use the what-which-what: What info do you need? Which browser should you use? What column views do you need? Do you want to narrow your search? - Filters Orchard Software Symposium June 17th and 18th
9 Build Your Browser
10 Result Browsers to support business initiatives and quality metrics In God we trust, all others must bring data. -Edward Deming
11 Let s Build a Result Browser Have in mind what your end result will be. Our example: Cardiac Clinical Trials All non-diabetic patients age 50 or younger with cholesterol > 200 or triglyceride >150 Info we need: Patient Name, Patient ID, DOB, Test, Numeric Result, Collection Date and Time, and Provider Orchard Software Symposium June 17th and 18th
12 Cardiac Clinical Trial: desired end result
13 First Step: Column Views
14 Column View: Cardiac Clinical Trial
15 Second Step: Browser Filter Remember our parameters? All non-diabetic patients age 50 or younger with cholesterol > 200 or triglyceride >150 Orchard Software Symposium June 17th and 18th
16 Browser Filter: Cardiac Clinical Trial
17 Cardiac Clinical Trial Filter: Up close
18 Last Step: Result Browser We ve created our column views, our browser filter and now it s time to create the result browser. Orchard Software Symposium June 17th and 18th
19 Result Browser: Cardiac Clinical Trial
20 It Looks Like We Imagined!
21 Try viewing it with Pivot table
22 Let s not leave Microbiology out! Browse for the following: MRSA VRE C-Diff MDRO Orchard Software Symposium June 17th and 18th
23 Infection Control Summary
24 Infection Control report - Hospital
25 Now, let s kick it up a notch Subtotals and Totals Percentage Test Let Harvest do your calculations Orchard Software Symposium June 17th and 18th
26 Browser calculations at a glance Subtotals: Counts from the first row of the source column and displays the value in the last line before the value changes in the source column Totals: Counts each value in the source column and displays the count on the line of the last occurrence
27 Browser calculations at a glance Percentages: Calculates the number of times each value appears before the source column changes and compares it to the total of the source column SORT FIELDS MATTER! Counts, NOT Summation Orchard Software Symposium June 17th and 18th
28 Pap Categories: desired end result
29 Pap Categories
30 Pap Categories: Optional Columns
31 Pap Categories: Subtotals and Totals
32 NEW to Result Browser Additional Patient and Result Options Orchard Software Symposium June 17th and 18th
33 Additional Patient and Result Options: NEW Orchard Software Symposium June 17th and 18th
34 Additional Patient and Result Options: Up close Orchard Software Symposium June 17th and 18th
35 Now Let s Put Our Browsers to Work! Monitors Test Utilization Physician Education Patient Compliance Laboratory Quality Monitors Orchard Software Symposium June 17th and 18th
36 Remember our Thyroid Algorithm?
37 All MD s are ordering Thyroid Cascade, right? Well.. Maybe not! Let s find out Orchard Software Symposium June 17th and 18th
38 Normal TSH ordered with FT4
39 Additional Patient and Result Options
40 Filter for Normal TSH and Eliminate QC
41 Who ISNT ordering TSH Thyroid Cascade?
42 Pivot table of Normal TSH and FT4
43 Physician education necessary? YES Drs. Black and Bolding are ordering TSH and FT4 as co-orders Make sure to update them on the TSH Thyroid Cascade algorithm Monitor their ordering patterns Orchard Software Symposium June 17th and 18th
44 Negative Pap with Positive HPV
45 Negative Pap with Positive HPV - PIVOT
46 Negative Rapid Strep vs. Culture Backup
47 Order Browsers to manage laboratory productivity If you torture the data long enough, it will confess -Ronald Coase
48 Phleb Draw Totals: desired end result
49 Column view: Phleb Draw Totals
50 Column view: Phleb Draw Totals
51 Optional Columns: Phleb Draw Totals
52 Order Browser: Phleb Draw Totals
53 Patient Browsers to monitor patient compliance The goal is to turn data into information, and information into insight. -Carly Fiorina
54 Patient Browser: desired end result
55 Patient Browser: No A1C past 90 days
56 Drs Weber and Jones have higher %
57 Summation: Use Browsers to Enhance patient care Patient compliance goals Educate physicians Quality metrics to enhance laboratory performance Orchard Software Symposium June 17th and 18th
58 Questions? Thank you!
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