Automation in Healthcare Insurance & How Impacts Quality Discussion

Description

You should have gathered and read information from a number of sources related to your topic. State you topic and problem you are addressing in your dissertation. What trends are you seeing in the research related to your topic? What gap in evidence have you identified so far? 

Explanation & Answer length: 500 words.

Running Head: TOPIC APPROVAL 1 Exploring the impact of Automation in Health Insurance on the Quality of Healthcare Mat University of the Summer 2021 – Dissertation Seminar (DSRT-736-M30) – Full Term INTRODUCTION 2 Background The necessity for safety and quality improvement has become a great concern for health care practitioners and as part of the endeavors that seek to accelerate processes, achieve economies of scale and manage disparate systems, insurers are fast turning to automatic systems comprised of Artificial Intelligence and machine learning to not only manage back -end support functions but also transform structures to increase productivity, accuracy and enhance customer experience.

In the backdrop of this trend where firms are incorporating robotics into their enterprise management systems, this research finds that the approach has been marred with flaws. Particularly, health insurance companies have sought to replace human input with automatic systems thereby eliminating human contact and interaction in health insurance service delivery. Significance At a time when patient-centered care is becoming so pertinent an issue among service givers, the importance of human contact has been reiterated as one of the most significant ways of enhancing care and increasing client satisfaction (Shaller, 2007).In this regard, this research finds that the over-automation of healthcare service delivery by insurance firms has impeded the realization of patient-centered care as it has downplayed the significance of human contact in service delivery.

Moreover, the approach that most firms have taken does not seem to be promising as its merits may surpass the demerits –that is, even though automation has been praised as bringing a range of benefits, it has also brought a fair share of flaws including systemic errors whose impacts have been termed as adverse to the safety of patients as well as the quality of care (Hughes,2008). Therefore, there is a need to explore how best technology can INTRODUCTION 3 be harnessed and integrated with human input in a manner that instead of eliminating human interaction, indeed leads to deeper connections between the two separate but complementary facets thereby creating competitive and beneficial synergy. The importance of this research is twofold. It seeks to make inroads to the body of inquiry that seeks to determine how best to create a synergistic integration of human input and automatic systems in health insurance thereby contributing to knowledge and two to explore the areas of weaknesses in regards to the automation approach that most firms have taken thereby paving way for corrective measure. In order to determine at what point do the two facets integrate optimally, this research draws from the dynamic capability theoretical model that advocates for system changes and resources as well as capacity mix to leverage synergy (Denrell, & Powell, 2016).

The study will be quantitative research. In seeking to determine the impacts of automation on healthcare outcomes, the study will explore how three variables: interventions, quality, and access to health care have been affected by whole system automation and what past researchers think about this trend. Target population for this dissertation would be LinkedIn , they would comprise of consumers, Medicare and Technology Health Care professionals. The resulting findings are useful for scholars, researchers, and healthcare policymakers who seek to advance knowledge and insight in the area of healthcare insurance research. References INTRODUCTION Denrell, J., & Powell, T. C. (2016). Dynamic Capability as a Theory of Competitive Advantage. In The Oxford handbook of dynamic capabilities.Lawson, B., & Samson, D. (2001). Developing innovation capability in organizations: a dynamic capabilities approach.

International journal of innovation management, 5(03), 377-400. Hughes, R. G. (2008). Tools and strategies for quality improvement and patient safety. Patient safety and quality: An evidence-based handbook for nurses. Shaller, D. (2007). Patient-centered care: what does it take? (pp. 1-26). New York: Commonwealth Fund. 4 Running Head: TOPIC APPROVAL 1 Exploring Issues of Automation in Healthcare Insurance and How It Impacts Quality of Healthcare Exploring the impact of automation in Health Insurance on the Quality of Healthcare Mathew Uday University of the Cumberland’s Summer 2021 – Dissertation Seminar (DSRT-736-M30) – Full Term INTRODUCTION 2 Background The necessity for safety and quality improvement has become a great concern for health care practitioners and as part of the endeavors that seek to accelerate processes, achieve economies of scale and manage disparate systems, insurers are fast turning to automatic systems comprised of Artificial Intelligence and machine learning to not only manage back -end support functions but also transform structures to increase productivity, accuracy and enhance customer experience.

In the backdrop of this trend where firms are incorporating robotics into their enterprise management systems, this research finds that the approach has been marred with flaws. Particularly, health insurance companies have sought to replace human input with automatic systems thereby eliminating human contact and interaction in health insurance service delivery. Significance At a time when patient-centered care is becoming so pertinent an issue among service givers, the importance of human contact has been reiterated as one of the most significant ways of enhancing care and increasing client satisfaction (Shaller, 2007).In this regard, this research finds that the over-automation of healthcare service delivery by insurance firms has impeded the realization of patient-centered care as it has downplayed the significance of human contact in service delivery. Moreover, the approach that most firms have taken does not seem to be promising as its merits may surpass the demerits –that is, even though automation has been praised as bringing a range of benefits, it has also brought a fair share of flaws including systemic errors whose impacts have been termed as adverse to the safety of patients as well as INTRODUCTION 3 the quality of care (Hughes,2008).

Therefore, there is a need to explore how best technology can be harnessed and integrated with human input in a manner that instead of eliminating human interaction, indeed leads to deeper connections between the two separate but complementary facets thereby creating competitive and beneficial synergy. The importance of this research is twofold. It seeks to make inroads to the body of inquiry that seeks to determine how best to create a synergistic integration of human input and automatic systems in health insurance thereby contributing to knowledge and two to explore the areas of weaknesses in regards to the automation approach that most firms have taken thereby paving way for corrective measure. In order to determine at what point do the two facets integrate optimally, this research draws from the dynamic capability theoretical model that advocates for system changes and resources as well as capacity mix to leverage synergy (Denrell, & Powell, 2016). The study will be quantitative research. In seeking to determine the impacts of automation on healthcare outcomes, the study will explore how three variables: interventions, quality, and access to health care have been affected by whole system automation and what past researchers think about this trend.

Target groups for this dissertation would be sourced from LinkedIn, comprising people that are experienced in Healthcare technology and Medicare professionals. The resulting findings are useful for scholars, researchers, and healthcare policymakers who seek to advance knowledge and insight in the area of healthcare insurance research. INTRODUCTION 4 References Denrell, J., & Powell, T. C. (2016). Dynamic Capability as a Theory of Competitive Advantage. In The Oxford handbook of dynamic capabilities.Lawson, B., & Samson, D. (2001). Developing innovation capability in organizations: a dynamic capabilities approach. International journal of innovation management, 5(03), 377-400. Hughes, R. G. (2008).

Tools and strategies for quality improvement and patient safety. Patient safety and quality: An evidence-based handbook for nurses. Shaller, D. (2007). Patient-centered care: what does it take? (pp. 1-26). New York: Commonwealth Fund. Running Head: TOPIC APPROVAL 1 Exploring the impact of Automation in Health Insurance on the Quality of Healthcare Mat University of the Summer 2021 – Dissertation Seminar (DSRT-736-M30) – Full Term INTRODUCTION 2 Background The necessity for safety and quality improvement has become a great concern for health care practitioners and as part of the endeavors that seek to accelerate processes, achieve economies of scale and manage disparate systems, insurers are fast turning to automatic systems comprised of Artificial Intelligence and machine learning to not only manage back -end support functions but also transform structures to increase productivity, accuracy and enhance customer experience. In the backdrop of this trend where firms are incorporating robotics into their enterprise management systems, this research finds that the approach has been marred with flaws.

Particularly, health insurance companies have sought to replace human input with automatic systems thereby eliminating human contact and interaction in health insurance service delivery. Significance At a time when patient-centered care is becoming so pertinent an issue among service givers, the importance of human contact has been reiterated as one of the most significant ways of enhancing care and increasing client satisfaction (Shaller, 2007).In this regard, this research finds that the over-automation of healthcare service delivery by insurance firms has impeded the realization of patient-centered care as it has downplayed the significance of human contact in service delivery. Moreover, the approach that most firms have taken does not seem to be promising as its merits may surpass the demerits –that is, even though automation has been praised as bringing a range of benefits, it has also brought a fair share of flaws including systemic errors whose impacts have been termed as adverse to the safety of patients as well as the quality of care (Hughes,2008).

Therefore, there is a need to explore how best technology can INTRODUCTION 3 be harnessed and integrated with human input in a manner that instead of eliminating human interaction, indeed leads to deeper connections between the two separate but complementary facets thereby creating competitive and beneficial synergy. The importance of this research is twofold. It seeks to make inroads to the body of inquiry that seeks to determine how best to create a synergistic integration of human input and automatic systems in health insurance thereby contributing to knowledge and two to explore the areas of weaknesses in regards to the automation approach that most firms have taken thereby paving way for corrective measure. In order to determine at what point do the two facets integrate optimally, this research draws from the dynamic capability theoretical model that advocates for system changes and resources as well as capacity mix to leverage synergy (Denrell, & Powell, 2016). The study will be quantitative research.

In seeking to determine the impacts of automation on healthcare outcomes, the study will explore how three variables: interventions, quality, and access to health care have been affected by whole system automation and what past researchers think about this trend. Target population for this dissertation would be LinkedIn , they would comprise of consumers, Medicare and Technology Health Care professionals. The resulting findings are useful for scholars, researchers, and healthcare policymakers who seek to advance knowledge and insight in the area of healthcare insurance research. References INTRODUCTION Denrell, J., & Powell, T. C. (2016). Dynamic Capability as a Theory of Competitive Advantage. In The Oxford handbook of dynamic capabilities.Lawson, B., & Samson, D. (2001). Developing innovation capability in organizations: a dynamic capabilities approach. International journal of innovation management, 5(03), 377-400. Hughes, R. G. (2008). Tools and strategies for quality improvement and patient safety. Patient safety and quality: An evidence-based handbook for nurses. Shaller, D. (2007). Patient-centered care: what does it take? (pp. 1-26). New York: Commonwealth Fund. 4

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