Many small care operators sit on useful data they rarely look at. Census numbers live in the EHR, staffing hours in a payroll export, and incident counts in a spreadsheet someone updates monthly. Power BI, Microsoft's business analytics tool, can bring these together. The danger is starting too big and ending up with an unfinished project.
This post offers a modest first-project plan: connect a few data sources, build three reports and put them in front of the people who will use them.
Choose a single audience, such as the administrator or the director of nursing, and a few questions they ask regularly. If you try to serve everyone, you will serve no one.
Find out how each source can be exported or connected. Your EHR vendor, payroll provider or accounting software may offer scheduled reports or approved data feeds. Ask your vendors what is supported and what the terms are, instead of working around the system. Know which data contains protected health information, because that changes how you must store and share it.
If a report contains resident-level information, treat it as PHI. Use individual accounts with MFA, restrict access to people with a job need, and understand where the data is stored. If a vendor or consultant touches PHI, a business associate agreement is typically needed. When in doubt, begin with aggregate data that contains no resident identifiers.
Start with two or three sources, not ten. A scheduled export saved to a secured location is perfectly acceptable for a first project. Power BI can read common file formats and many business systems. Direct connections can come later.
Spend time cleaning up what you load. Consistent dates, matching unit names and one definition of each metric matter more than any chart. If "census" means something different in two files, resolve it now.
Show daily census over the last ninety days, current occupancy and admissions versus discharges. This is easy to validate because the administrator already knows the number, and it builds trust.
Compare scheduled and worked hours by unit and week, and highlight overtime. Even a simple view can reveal patterns in call-offs and coverage gaps. Be careful to define how you count hours and which roles are included.
Pick one indicator your leadership already reviews, such as incident counts, falls or infection tracking, at the aggregate level. Choose something someone is responsible for acting on. Avoid showing resident names on a broadly shared page.
Put the most important number at the top.
Use few colors and consistent chart types.
Label metrics clearly and note the data refresh time.
Allow simple filters, such as by unit or date range.
Remove anything nobody asked for.
Decide who can view each report and how it will be shared, and review that list periodically. Set up a refresh schedule that matches how often decisions are made, daily for operational reports and weekly or monthly for others. A report that is stale is worse than none.
Week one: choose audience, questions and data sources.
Week two: obtain and clean data.
Weeks three and four: build the three reports and validate against known numbers.
Week five: preview with the audience and collect feedback.
Week six: adjust, set refresh and access rules, and publish.
Ask whether the audience opens the reports weekly and whether a decision changed because of them. If yes, expand to the next question. If not, find out why before adding more.
UnityCare IT can help you identify data sources, set up secure access, and make sure your first Power BI project is practical and compliant. A small, trusted set of reports is a much better beginning than a large, abandoned one.
An outsourced IT department with proactive maintenance and one number to call.
Call or text: 405-285-3845
New customers: start@unitycareit.com
Existing customers: support@unitycareit.com
Address: UnityCare Technologies, 2524 N Broadway Ste 554, PMB 947974, Edmond, Oklahoma 73034-4172