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    Information Technology in Healthcare Industry

    PAPER ON

    IT AND PROJECT MANAGEMENTIN

    HEALTHCARE INDUSTRY

    By:Rajender Kumar Lakhanpal

    FT11347

    By: Rajender Kumar Lakhanpal, FT11347

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    Information Technology in Healthcare Industry

    Table of Contents

    1. Abstract

    2. Introduction

    3. IT, Informatics, and Productivity of Healthcare.

    4. Informatics

    5. Project and Knowledge Management

    6. Data Mining

    7. Business Intelligence and Decision support systems

    8. Discussions

    9. Microsoft Amalga - Example

    10. Conclusion

    11. References

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    Information Technology in Healthcare Industry

    Abstract

    The role of information technology and in particular the Project Management principles find a

    great application in healthcare industry. The way in which the working and performance of all

    systems in healthcare industry has changed is tremendous. This paper tries to look at the patterns

    and trends of change in the Healthcare industry in last few years and how IT and Project

    Management principles have found their application and thus have revolutionized the way

    Healthcare sector used to work. Today, the profit margins, customer service levels, customer satisfaction levels, better inventory management, improved coordination with suppliers and

    prediction of upcoming trends have all seen a paradigm shift much to the credit of IT and Project

    Management.

    As we go ahead we will also discuss about one of the powerful Information systems built for the

    Healthcare industry.

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    money on certain categories of patients and it is important to understand where those areas are

    and how to address them.

    Changes in Demography, social and cultural factors are putting more pressure than before on

    healthcare providers to be reachable, reasonable, and quick to respond. So, healthcare

    organizations rely on technology to help achieve their objectives.

    Key healthcare organization objectives include:

    Better quality of care for customers Improved patient outcomes and service

    Increased productivity and workflow efficiency

    Better information management at the point of care

    Improved and integrated communication

    Privacy and protection of patient information

    The healthcare environment is one that calls for integration. Patients information is spread

    across different systems in private and public healthcare entities, which makes it hard and costly

    for healthcare professionals to distribute imperative medical, clinical, and patient information.

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    Information Technology in Healthcare Industry

    in under/overbilling of recipients. Technologies can help in enhancing anticipatory treatment for

    mitigating illnesses from developing into fully developed chronic diseases and in monitoring the

    overall activities of the health providers, and this includes finally enhancing patient experience.

    Informatics:

    The science which is concerned with gathering, manipulating, storing, retrieving and classifying

    recorded information from the various sources. Health/medical informatics is the combination of

    informational science, computer science, and health care. It deals with resources, devices and

    methods required to optimize the acquisition, storage, retrieval, and use of information in

    healthcare and biomedicine. Tools related to health informatics include apart from computers

    clinical guidelines, information and communication systems and formal medical terminologies.

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    Information Technology in Healthcare Industry

    Project and Knowledge Management

    Project management is what addresses the incorporation of the correct tactics to acquire the most

    appropriate technology platform(s). For example, when a healthcare product/service provider

    wants to establish a new database system that facilitates the conversion of conventional paper-

    based routines into Superior digital assets for clinical and treatment activities, the organization

    has to consider which technology has the best to offer with the most feasible functionality

    corresponding to the operations of the organization. This will include the cost of the technology,

    scalability, integration ability with existing systems, and user friendliness. Once the technology

    is selected, various factors to promote the most seamless integration into the work environment

    must be considered. This includes schedules, training for workers/users and eventually complete

    rollout to the workforce. This theory overlaps project management to an extent while considering

    implementation stages of the new technologies. It also considers additional critical factors of

    ensuring the systems adoption by users with the goal that it becomes a key component to the

    everyday activities of its users. KM theory thus promotes the active utilization of information

    and creation of knowledge within an organization, concepts that drive best practices, and

    innovation.

    Data Mining

    Six Sigma is a method that gains advantage from data resources and incorporates statistical

    applications and visual capabilities to address the process efficiencies and variance. By analyzing

    data resources of operational processes with the use of statistical techniques, one can determine

    which types of practices result in variances in performance. Designing Models for More robust

    and sophisticated techniques for analyzing the data involve the utilization of quantitative

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    methods and statistical testing in order to determine patterns and trends that may exist in

    particular service activities.

    Business Intelligence and Decision Support Systems

    The analytic methods focus on presenting data in a timely and understandable manner, where

    decision makers can quickly view the analytic platform(s) to identify factors impacting

    operational performances. These data-driven software technologies and initiatives encompass the

    sphere of decision support systems and business intelligence. The report generation, trend and

    pattern analysis, quantitative and statistical analytics, graphical interfaces provide users and the

    decision makers with timely, accurate and actionable information to enhance strategy

    formulation. Informatics for improving efficiencies includes optimizing of resource allocations

    corresponding to activities and procedures. The utilization of decision support systems and

    business intelligence help reduce patients waiting times for treatment, adjusting treatment

    procedures to enhance outcomes, reducing inefficiencies in billing, reducing lag times in lab and

    radiology exam completion and reporting times etc. The result thus is efficient management of

    healthcare operations and tracking of costs and care effectiveness and superior outcomes for

    patients.

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    Information Technology in Healthcare Industry

    Discussions

    Four Key Areas of Focus for Healthcare Efficiencies

    With the turbulent environment in the healthcare industry, it is great that healthcare organizations

    are embracing the potential of technologies and informatics for leveraging information and their

    ability to enhance efficiencies of operations. Informatics applications and capabilities within the

    healthcare domain are categorized into following distinct areas:

    1. Financial: This includes Tracking using activity-based costing, ensuring that services

    provided are correctly billed, compensated and that expenses stay within budget. The

    computerized financial systems help in generating data and report-driven balance sheets,

    profit and loss statements and other accounting reports point to need for Informatics. For

    example, many hospitals, especially non-profit systems, finance growth and other capital

    initiatives through the effective use of fixed income securities, many of which may be

    guaranteed by a governmental authority.

    2. Clinical compliance: This includes ensuring that appropriate procedures are applied to the

    right patient at the right time while making sure that staffing patterns and other reportable

    parameters are performing within acceptable limits, and alerting as quickly as possible when

    they are otherwise. Organizations such as Department of Health have very stringent, detailed

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    regulations as to the exact protocols that need to be followed under different health care

    circumstances. Also, government entities have set different levels of compliance for

    organizations to protocol standards. If not complied, this can lead into lost revenue, lost

    market share or diminished stature. Informatics, at an operational level, identifies falls risk

    patients and facilitates analysis of other aspects of electronic medical records (EMRs) to

    ensure that proper protocols are in place to mitigate the negative ramifications of falls risk.

    3. Quality improvement: This includes the analysis of clinical data to find the protocols that

    provide the best outcomes in an economically sustainable way. Equipments like Ventilators,

    smart pumps, IVs, vital sign tracking monitors and other devices like these cancommunicate to EMRs and thus populate data directly into an EMR which facilitated by

    information technologies, offer a capability to page a clinician or otherwise to provide a real-

    time alert if a certain clinical value is outside accepted standards. These technologies also

    help for more advanced data analytics. Statistical analytics such as correlations help in

    identifying the best possible order sets for a given condition. Informatics incorporating

    statistical correlations and causation factors can identify that individuals who receive a

    certain type of specialized therapy have much shorter lengths of stay and lower rates of

    readmission than those who do not, for comparing different clinical regimens to factors such

    as patient satisfaction survey scores, identifying whether certain high-priced medications

    or medical devices may provide a less wanted outcome than lower-priced medications and to

    identify which doctors have a tendency to order those medications. Looking at comparisons,

    informatics will enable to compare physician ordering patterns with outcomes such as

    reduced length of stay, reduced readmissions, lesser complications or co morbidities and

    profit generation metrics. This provides an important level of responsibility.

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    4. Patient satisfaction/marketing: Various aspects of a patients stay were problematic how

    are those measured, identified, and remedied for the future? Happy customers provide good

    word-of-mouth recommendations of their experiences. A survey with a set of questions to

    recently discharged patients can be very helpful. This kind of data can reveal areas where an

    organization needs to fine-tune and make changes to certain operational processes that are

    resulting in patient dissatisfaction and this gives an opportunity to be proactive and build

    systems to automatically route these comments to the appropriate decision makers in the

    organization and track the timeliness of resolution. Medicare regulations can be helpful to

    spell out a formal defined procedure for grievances which have mandate about how facilitiesneed to address the grievances. The second type of satisfaction issues can be gathered from

    surveys that are taken directly from the patient while he or she is in the facility. This ensures

    timely feedback of issues while they are occurring and take steps to address them. Responses

    can be entered into a database and tracked and checked for trends and areas of action over

    time through the utilization of informatics methods. This type of survey has rapid response

    capability. This can transform a dissatisfied customer to a satisfied one.

    Patient/Consumer Data Privacy

    The most critical element that needs to be maintained, analyzed, preserved and strengthened is

    the privacy safeguards of healthcare-related data of individuals/patients. The integration of data

    resources from various healthcare providers and databases will no doubt enhance efficiencies

    from analytics capabilities and information generation. As developing more robust data resource

    enhances efficiencies, it also introduces the requirements for strict, well-defined and enforced

    standards to protect the privacy rights of individual customers for health-related data. New

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    privacy policies need to be designed to address any changes that emerge within the dominion of

    data access and exchanges in the evolving healthcare system.

    Microsoft Amalga A Powerful Information System Example

    Microsoft Amalga Hospital Information System - delivers a complete, agile hospital information

    system that is affordable, flexible, and intuitive. It has been developed in collaboration with

    pharmacists, nurses, physicians, auxiliary staff, and IT professionals and the solution was

    designed to meet the needs of healthcare professionals while minimizing the cost of operations

    and resources required by global healthcare organizations.

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    Logical Diagram of Microsoft Amalga

    Amalga HIS Radiology Management offers:

    Automatic order management

    Automatic scanning and attachment of hard copies to investigation orders.

    Image-manipulation tools

    Multiple language support for patients demographic and screen tag information

    Integrated database within Amalga HIS that makes information accessible directly from PACS.

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    Template-driven options including voice recognition and report production.

    Discerning report editor that works on written or dictated report.

    Customizable first choice tabs for planned investigations.

    Instantaneous investigation job to a particular radiologist at time of ordering.

    Warning/Alert system that provides real-time notifications to prevent redundancy of reports.

    Online historical studies for quick retrieval, regardless of the age of the investigation.

    Limitless investigation revisions that save any or all key images, windows-level settings, and

    image remarks.

    Creation of CD for PACS studies, reports and EMR. Options include all or selected portions of a patients EMR like DICOM and JPEG images and reports.

    Conclusion

    Today when we see that we the challenges to meet the expectations of customers and also to

    survive against changing technology and strong competition the emphasis should be on

    infrastructure that can have sustainable growth. The implementation of Information technology

    systems can be really a great competitive advantage and revenue generating option and the past

    records and the latest trends are a reflection of this. The challenge to move from Customer

    satisfaction to Customer delight to Customer Astonishment can be met only through leveraging

    the Information Technology systems and Project Management Principles.

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    References

    http://www.microsoft.com/amalga/products/microsoft-amalga-his/default.mspx

    http://farm3.static.flickr.com/2191/2401984942_e1f6a2ee38_o.jpg

    http://www.pacificglobalsolutions.com/images/healthcare_chart.jpg

    http://www.ittoday.info/Articles/Healthcare_Informatics.htm

    http://www.heinz.cmu.edu/research/391full.pdf

    http://cisco.biz/web/strategy/docs/healthcare/healthcare_industry_overview.pdf

    www.wikipedia.org

    By: Rajender Kumar Lakhanpal, FT11347