Why Patient care analysis is important for Hospitals?

Analysis/KPIs to monitor Patient Care

1) Patient Analysis

  • Number of patients by gender, age group, and demographics.
  • No of admissions, re – admissions and discharges.

2) Patient Arrival Analysis

  • No of arrivals and average number of arrivals per day.
  • Average arrival time to room by hour & day.
  • Average arrival to nurse and average arrival time to provider / physician.
  • Average arrival to bed and average arrival to discharge.

healthcare business intelligence patient flow analysis

3) Patient Wait Time Analysis

  • Average wait time cycle (Average wait time divided by No. of patients).
  • Average wait time by day.
  • Average wait time in waiting rooms.
  • Patient wait times by process step.
  • Patient vs. staff ratio.

4) Asset Utilization rate

  • Bed utilization rate and bed or room turnover.

5) Length of Stay Analysis

  • Patient flow, hospital admit % and average length of stay (ALOS).
  • Percentage of patients who stayed for 30 days and 90 days, in comparison to the targets.
  • No of arrivals vs. No. of discharges.

healthcare business intelligence patient flow analysis

6) Occupancy Rate

  • Total number of rooms, waiting rooms, and total ICU units.
  • Average number of patient rooms In use at one time.

7) Readmission Rate

  • No of admissions and % of re-admissions.
  • Re-admissions in comparison to the targets (30-days / 90-days).
  • Average number of days to re-admit, in comparison to the benchmarks.
  • Readmission – average length of stay for 30-day and 90-day stay.

8) Patient Satisfaction Survey

  • Patient experience score
  • Admission process score
  • Quality of physician care
  • Quality of nursing care
  • Housekeeping score
  • Quality of food

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How to improve the Patient Care, and Patient Satisfaction levels?

1)  Overall Patient Experience:

  • Respect for the patient.
  • Giving opportunity to patients to discuss their concerns, beliefs and preferences.
  • Supporting patient choice.
  • Sharing information with partners, family members and carers.

2) Quality of Administrative process:

  • Administrative simplicity.
  • Single point of contact.
  • Ease of scheduling appointments and On-time appointments.
  • Patient’s access to medical records.
  • Ease of outstanding bill and value for money.
  • Proper forecasting, scheduling of appointments and adequate information about the waiting times.
  • Automating few of the manual activities viz., registration, scheduling appointments, triage process, physician allocation, information regarding the waiting rooms, alignment of capacity and demand etc.
  • Minimizing the length of time spent in undesirable states (registration, queries regarding the physician’s availability, waiting rooms, insurance etc.).
  • Redesign of waiting areas.
  • Facilities in the waiting rooms to minimize the patient frustration to some extent, viz., complimentary food / beverages, TV and free Wi-Fi.
  • Streamlining of the discharge process. For example, eliminate / minimize the procedural formalities in discharging the patients.
  • Adequate and clear information and instruction about all procedures, both medical and administrative.

3) Quality of Physician care:

  • Doctor empathy
  • Well trained physicians and nurses, providing high quality health care.
  • Outcome of procedure / care.
  • Connection with other caregivers.
  • Use of newer technologies for diagnosis, operative procedures and treatment.

4) Quality of Nursing care:

  • Nurse empathy.
  • Keeping patient informed.

5) Quality of Housekeeping:

  • Comfortable waiting rooms.
  • Cleanliness of room.
  • Room appearance.
  • Quiet environment.
  • Amenities viz., online tools and resources.
  • Facilities.
  • Parking.
  • Better administration, infrastructure / facilities.

 

FAQ’s

What is patient care analysis?
Patient care analysis involves the systematic review and evaluation of various aspects of healthcare delivery to understand, measure, and improve the quality of care provided to patients. It typically involves examining data related to patient outcomes, satisfaction, resource utilization, and clinical processes.

Why is patient care analysis important?
Patient care analysis is crucial for healthcare organizations to identify areas for improvement, optimize resource allocation, enhance patient outcomes, and ensure patient safety. By analyzing data and identifying patterns, healthcare providers can make informed decisions to enhance the overall quality of care.

What data is typically analyzed in patient care analysis?
Patient care analysis can involve a wide range of data sources, including clinical records, patient surveys, administrative data, and quality metrics. This data can include information about patient demographics, diagnoses, treatments, medications, complications, length of stay, readmission rates, and patient satisfaction scores.

How is patient care analysis conducted?
Patient care analysis often involves a combination of quantitative and qualitative methods. Quantitative analysis may include statistical techniques such as regression analysis, time series analysis, and benchmarking to identify trends and correlations. Qualitative methods, such as interviews and focus groups, may be used to gain insights into patient experiences and perceptions.

Anupama Desai

President & CEO

Anupama has more than 23 years of experience as business leader and as an advocate for improving the life of the business users. Anupama has been very active in bringing business perspective in the technology enabled world. Her passion is to leverage information and data insights for better business performance by empowering people within the organization. Currently, Anupama leads Winnovation to build world class Business Intelligence application platform, and her aim is to provide data insights to each and every person within an organization at lowest possible cost.

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