Dashboard Evaluation for Medical Portal

Dashboard Evaluation

Patient Satisfaction Scorecard

https://angelmedia.fhchs.edu/compass/dadi490/media/iDashboard/index.html

This dashboard page reviews and specifies how satisfied patients attending the hospital were, or were not, based on the service they received at the hospital. The data breaks down into specific areas of concern for patients in terms of the service they received.

Measurements provided:

There are 24 categories for patient input as to the quality of service they received. The hospital sent out 1,232 surveys and 954 people (former and presumably present patients) responded to the survey (450 males and 504 females; 250 new patients and 704 returning patients). The ages reflect a very diverse community of patients, including: 19 that were 10 years of age or younger; 57 between 11 and 20; 124 were between 21 and 30 years of age; 219 were between 31 and 40; 172 were between 41-50; 153 were between 51-60; 113 were between 60 and 70; and 96 patients were over 70 years of age.

In terms of "Ease of Getting Care," the great majority of respondents rated this aspect as "great," "good," or "satisfactory." However, 4 rated "Hours Center is Open" as "fair" and 4 rated "convenience of location" as "poor" (one can't be sure but those may have been the same 4). Four respondents rated "time in waiting room" as "poor" and 6 rated it "fair." Six rated "time in the examining room" as "fair." 3 indicated that staff was "poor" in explaining "information"; and 3 said staff was not "friendly"; 4 said the building was not "clean"; 2 indicated they were not comfortable or safe while "waiting"; 1 respondent said nursing staff was not "friendly."

The overall summary: the vast majority of patients of all ages were satisfied with service.

Patient Satisfaction

https://angelmedia.fhchs.edu/compass/dadi490/media/iDashboard/index.html

Overview:

This dashboard rates the overall patient satisfaction with the services received in the hospital. The data is presented in several different formats, with enough repetition to make if very clear to the observer what parts of the service were good, and what portions of the service were not acceptable to the patients.

Measurements Provided:

Next to the graph that is in the shape of a thermometer is a graph that is in the shape of a barometer. They both reflect that on a scale of 5 to 9.5, the overall rating of the hospital climbed to 8.58, a very respectable indication of overall satisfaction. Below those graphs is a rectangular chart that breaks down the complaints, grievances, and compliments on a monthly basis. For example, in October of 2008, there were 7 grievances, 2 compliments and 19 complaints. In November of 2008, there were 7 grievances, 4 compliments and 20 complaints.

In December, 2008, 4 patients had a grievance, 3 complimented the hospital and 25 complained. In January of 2009, 6 grievances, 2 compliments and 24 complaints were registered. In February of 2009, 9 grievances, 2 compliments and 29 complaints were registered. In March, 2009, 6 grievances, 3 compliments and 17 complaints were lodged; and in April it was 3, 3, and 24 while in May 2009 it was 5, 2, and 17. The identical data is presented on a graph (same data, different media) on the bottom of the page and 3 barometer-style graphics show the average number of grievances, compliments and complaints. However, it is not clear what the three thermometer graphics that are labeled Q1 and Q2 reflect. There is no legend for "Q1" or "Q2."

Overall summary: more complaints occurred in Jan / Feb than in the warmer months.

Patient Management

https://angelmedia.fhchs.edu/compass/dadi490/media/iDashboard/index.html

Overview:

This dashboard is designed to show specific data regarding trends for admissions to the hospital, trends for discharges, and trends that reflect the length of stay for patients. In a general sense it appears from the graphics presented that in the year 2007, more patients were admitted and discharges in the months of July and August, and in January and February. That is a generalization, but clearly the length of stay does not follow similar patterns.

Measurements Provided:

In July, 2007, the hospital admitted 311 patients and in August 2007 the hospital discharged 315 patients. The admissions in September (246) nearly matched the discharges in September (242). Moving into the colder months, January 2008 (299 admitted) and February, 2008 (305 admitted, the trend is similar to cold weather month (March) in 2009. There must be a correlation between admissions in hot weather months and cold weather months -- do more people get hurt or become sick typically in those months? Meantime in January 2008, 289 were discharged and in February (2008). 307 were discharged. The length of stay in January 2008 (3.24 days) and in February 2008 (3.25 days) and March 2008 (3.54 days) -- and in November 2007 (3.53) -- indicate generally a longer period of time during cold weather.

On the right side of the iDashboard the barometer on tops shows that admissions in the current year were 92.75% of the previous year; Discharges were 92.90% of previous year; and the length of stay is just over 2.99 days (100,50%).

Overall Summary: The Admissions trends and the discharges trend and the length of stay for patients are very clearly presented.

Hospital Measures

https://angelmedia.fhchs.edu/compass/dadi490/media/iDashboard/index.html

Overview:

This dashboard presents data that reflects the number of falls by patients, the number of infections that were acquired in the hospital per month, the number of "Acquired ulcers" per month, and the number of restraints that needed to be used on patients. Clearly healthcare professionals resist having to secure patients with restraints, and that is reflected in the fact that there were very few restrains used in this hospital. Typically there would be far more restraints used in mental hospitals than in traditional hospital facilities. The dashboard in this case provides a calendar-like day-by-day accounting of falls, restraints used, ulcers and infections acquired. It is a very clearly laid-out serious of charts and graphs.

Measurements Provided:

The number of acquired infections seems to stay around 30, up to 36 and back down to 30. It would be interesting to know how and why patients get infections (poor needle maintenance?) In April 2009 and in November 2009 there were 36 reported infections; the lowest number was in March of 2009, when only 26 infections were reported. As to acquired ulcers, the highest month for ulcers (presumably these are skin ulcers that are also known as bedsores) was March, 2009; in February, October and November of 2009 there were 33 ulcers per month. In March 2009 there were 13 falls, and in July 2009 there were 10; those are the months with the highest number of falls. In only 2 months (February and December, '09) were restraints used more than once (they were used twice). The calendar-type graphic identifies all the incidents on a daily basis, very easy to understand and more efficient than individual graphs.

Overall Summary: This dashboard covers falls, ulcers, infections and restraints well.