Essential to hospital analytics, diagnostic and mortality statistics serve as vital metrics in gauging hospital performance. This blog post aims to offer a detailed overview of key indicators for evaluating diagnostic services and computing various mortality statistics. Armed with this knowledge, medical professionals and hospital administrators can pinpoint areas of strength and weakness in their institution’s performance, empowering them to make informed, data-driven decisions to enhance the overall quality of patient care.

Definition of Hospital Analytics

Hospital analytics encompasses the systematic gathering, analysis, and interpretation of healthcare data with the aim of enhancing care quality and streamlining operations within a hospital environment. It entails employing diverse statistical and analytical techniques to uncover insights into patient treatment, facility efficiency, and resource allocation.

In this blog post, we delve into essential aspects of assessing diagnostic services and determining mortality statistics. We’ll explore how leveraging these metrics can pave the way for creating an effective hospital analytics framework geared towards elevating patient care standards.

Diagnostic Services

Accurate and prompt diagnosis and treatment of diseases heavily rely on diagnostic services, which can be broadly categorized into three main types:

  1. Laboratory Services
  2. Imaging Services
  3. ECG and EEG Services

1. Laboratory Services

Critical in diagnosing and tracking illnesses, laboratory services are indispensable. Evaluating their performance involves assessing various indicators. The primary statistic involves quantifying the number of tests administered across distinct departments, encompassing:

  • Haematology
  • Biochemistry
  • Routine Urine
  • Microbiology
  • Histopathology

2. Imaging Services

Timely and precise diagnosis relies heavily on imaging services. Evaluating their performance involves various metrics, including:

  • The volume of radiographs conducted for both inpatients and outpatients.
  • Categorizing radiographs based on film size.
  • Frequency of specialized examinations like barium studies and urographies.
  • The count of ultrasonographies performed.
  • The number of CT scan studies.

3. ECG and EEG

ECG and EEG services are pivotal for diagnosing and monitoring heart and brain-related conditions. The effectiveness of ECG and EEG services can be gauged through two key indicators:

  • The volume of ECG and EEG tests conducted.
  • The count of emergency ECG tests administered.

Mortality Statistics

Mortality is another term for death. A mortality rate is the number of deaths due to a disease divided by the total population. If there are 25 lung cancer deaths in one year in a population of 30,000, then the mortality rate for that population is 83 per 100,000 (Department of Health, New York State, 1999).

Understanding mortality statistics is crucial in assessing the quality of care offered by hospitals. However, it’s important to note that deaths occurring in certain contexts, such as the emergency room, casualty, or during ambulance transport, are typically excluded from hospital mortality statistics due to varying factors.

Two widely employed mortality statistics are:

  1. Gross death rate
  2. Postoperative Death Rate

1. Gross Death Rate:

This metric calculates the overall death rate within a given period by dividing the total number of deaths by the total number of discharges, including deaths, during that period. This figure is then multiplied by 100.

Gross death rate = (No of all deaths in a period / No of discharges, including deaths, in the period) × 100

2. Postoperative Death Rate

This indicator focuses specifically on deaths following surgical procedures. It is calculated by dividing the number of postoperative deaths in a given period by the total number of patients who underwent surgery during that same period. The result is then multiplied by 100.

Postoperative death rate = (No of postoperative deaths in a period / No of patients operated during the period) × 100

By regularly monitoring and analyzing these metrics, hospitals gain insights into their performance and can pinpoint areas for enhancement. This proactive approach enables them to deliver superior quality care, ultimately leading to improved patient outcomes. Moreover, by continually improving diagnostic and mortality statistics, hospitals not only enhance their reputation but also attract new patients while fostering trust and loyalty among existing ones.

Relevant blogs of this series

Below, you’ll find a compilation of additional blog posts from this series.

1Hospital AnalyticsLink
2Hospital Analytics – OPD Service Utilization StatisticsLink


Department of Health, New York State. (1999). Basic Statistics: About Incidence, Prevalence, Morbidity, and Mortality – Statistics Teaching Tools.

Sakharkar, B. (2008). Principles of hospital administration and planning. Jaypee Brothers Medical Publishers Pvt. Limited.

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