Essay Undergraduate 623 words

Analytics, HIT, and Target Costing in Healthcare Management

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Abstract

This paper examines two interconnected dimensions of healthcare management. The first section describes how analytics transforms patient data from electronic health records into actionable insights that improve outcomes, prevent disease, and enhance diagnostic accuracy, while exploring how health information technology (HIT) both enables and shapes this process. The second section addresses managerial economics in healthcare settings, explaining how profit maximization principles guide pricing decisions using marginal cost and marginal revenue analysis, and detailing the process and calculation of target costing as a strategic tool for cost reduction during product planning and design.

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What makes this paper effective

  • Efficiently integrates two distinct subject areas — clinical informatics and managerial economics — within a single, coherent response, demonstrating interdisciplinary range.
  • Grounds each claim in clearly cited sources, using direct quotations to anchor definitions and theoretical positions before applying them analytically.
  • Uses precise economic terminology (marginal cost, marginal revenue, price-led costing) accurately and consistently, signaling command of the subject matter.

Key academic technique demonstrated

The paper consistently moves from definition to application: a concept is introduced via a cited definition, then explained in the student's own words, and finally connected to a practical context. This three-step pattern — define, explain, apply — is an effective strategy for demonstrating both understanding and analytical skill in short-answer academic writing.

Structure breakdown

The paper is organized into two clearly labeled parts, each addressing a discrete prompt. Part 1 covers healthcare analytics and HIT across three focused paragraphs. Part 2 answers two sub-questions sequentially: the first on profit maximization pricing strategy, the second on target costing. Each section is self-contained but collectively they form a coherent overview of health informatics and healthcare economics fundamentals.

The Role of Analytics in Healthcare

Thanks to today's advances in technology, the relevance of analytics in healthcare cannot be overstated. As Cornelius (2015) points out, "advances in technology have enabled the medical community to generate and capture more data than ever before" (p. 95). In essence, analytics in healthcare involves the utilization of available and relevant data — primarily patient data — to derive meaningful and actionable insights. This data is most commonly obtained from electronic medical records (EMRs) and electronic health records (EHRs).

In basic terms, it is through analytics that both structured and unstructured data is transformed into information that is not only meaningful, but also useful for enhancing the efficiency of services offered in a healthcare setting. Analytics therefore come in handy in organizing data "to improve patient health and outcomes, help prevent and detect diseases, and diagnose diseases with more accuracy" (Cornelius, 2015, p. 95).

How HIT Supports Healthcare Analytics

Health information technology (HIT) plays a critical role in supporting healthcare analytics. Given the enormous volume of data generated in any healthcare setting, it would be impossible for healthcare personnel to manage such data without the assistance of computerized systems. In addition to helping reduce — or in some cases eliminate — errors in the handling of medical data, HIT enhances efficiency and supports better cost management. According to Kabene and Wolfe (as cited in Kabene, 2010), technological advances and HIT specifically "have made way for the implementation of electronic health records (EHRs), the comprehensive compilation of health care provided to an individual over their lifetime — an exciting and impressive accomplishment" (p. 60).

2 Locked Sections · 320 words remaining
40% of this paper shown

Using Economic Theory to Maximize Profit · 145 words

"Applying marginal cost and revenue to pricing decisions"

Target Costing: Process and Calculation · 175 words

"Steps and formula for calculating target cost in management"

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Key Concepts in This Paper
Healthcare Analytics Electronic Health Records Health Information Technology Profit Maximization Marginal Cost Marginal Revenue Target Costing Price-Led Costing Patient Data Cost Reduction
Cite This Paper
PaperDue. (2026). Analytics, HIT, and Target Costing in Healthcare Management. PaperDue. https://paperdue.com/study-guide/analytics-hit-target-costing-healthcare-management-2169317

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