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Health Care Processes and Decision Making_lecture 1_slides
1.
2. The Culture of Health Care
Health Care Processes and Decision Making
Lecture a
This material (Comp 2 Unit 4) was developed by Oregon Health & Science University, funded by the Department
of Health and Human Services, Office of the National Coordinator for Health Information Technology under
Award Number IU24OC000015. This material was updated in 2016 by Bellevue College under Award
Number 90WT0002.
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/.
3. Health Care Processes and
Decision Making
Learning Objectives
ā¢ Describe the elements of the āclassic paradigmā of the clinical process. (Lecture a)
ā¢ List the types of information used by clinicians when they care for patients. (Lecture a)
ā¢ Describe the steps required to manage information during the patient-clinician
interaction. (Lectures a, b, c)
ā¢ List the different information structures or formats used to organize clinical information.
(Lecture b)
ā¢ Describe different paradigms and elements of clinical decision making. (Lectures a, b)
ā¢ Explain the differences among observations, findings, syndromes, and diseases.
(Lectures a, b, c)
ā¢ Describe techniques or approaches used by clinicians to reach a diagnosis. (Lectures
a, b, c, d, e)
ā¢ List the major types of factors that clinicians consider when devising a management
plan for a patientās condition in addition to the diagnosis and recommended treatment.
(Lecture e)
ā¢ Describe the role of EHRs and technology in the clinical decision-making process.
(Lectures a, b, c, d, e)
3
4. The Classic Paradigm
ā¢ Classic paradigm assumes a single patient
interacts with a single clinician
ā¢ Patient has a single problem
ā¢ Care is provided during a single episode
ā¢ Various tools mediate this process
ā Medical records
ā Computers supporting clinical information systems
ā Medical devices and medical diagnostic equipment
ā Electronic communication: email, portals
4
5. Classic Paradigm
Evolution of Tools That Support the Task
ā¢ Central theorem of health informatics
ā human + computer > human alone
ā¢ Classic paradigm in health informatics
ā One patient
ā One problem
ā One clinician
ā One visit
ā¢ Technology supports this 1:1:1:1 paradigm
5
6. Attributes of Clinician
ā¢ Possesses specialized knowledge
ā¢ Received experiential training
ā¢ Has direct relationship with patient, directly
involved in the care of the patient and
makes decisions about patient care
ā¢ Acts in patientās best interest
ā¢ Integrates diverse types of information
ā¢ Functions within time & resource
constraints 6
7. Types of Information
Information Type
Information
Characteristics
Sources
Patient data Refers to one person
Patient, family, records,
observation
Population statistics
Aggregated patient
data
Colleagues, public health
department, EHR
Medical knowledge
Generalizable to
many persons
Textbooks, journal
articles, MEDLINE
Logistic information
How to get things
done
People, policy,
procedure, and insurance
companies
Social influence
How others get the
job done
Observe and discuss
with colleagues
4.1 Table: Types of information that clinicians utilize when making decisions
7
8. Organization:
How Clinicians Organize Information
ā¢ Narrative structure
ā¢ Rearranged into a history and physical
format
ā¢ Further rearranged into a hierarchy
ā¢ Reformulated into a computable structure
for utilization by clinical information
systems
8
10. How Stories Fit into Health System
Part 1
ā¢ Communication between patient and
clinician
ā Facts embedded in story (meaning to
clinician)
ā Meaning of the illness to the patient
ā Communication and relationship building
ā Therapeutic value
ā Important aspect of quality of care
10
11. How Stories Fit into Health System
Part 2
ā¢ Among clinicians
ā Efficient communication among experts
ā Values and ethics are communicated through
stories
ā¢ How do modern healthcare systems (and
health IT) affect stories?
ā Eliminate or alter them
ā Lose context
11
12. Interpretation:
How Clinicians Understand Clinical Data
ā¢ Disciplinary differences
ā¢ Different approaches to clinical data
interpretation
ā¢ Development of social construction
ā¢ Contextual interpretation of data
12
13. Beyond the Classic Paradigm:
Collaboration in Surgery
Medical
Situations
Patients Problems Clinicians Visits
Classic
paradigm
1 1 1 1
Operating room 1 1 Many 1
4.2 Table: Comparison of classic paradigm with operating room
ā¢ Multiple disciplines with different roles and
tasks
ā¢ Short time horizon
ā¢ Requires advance planning, resource rich
13
14. Beyond the Classic Paradigm:
Uncertain, Complex, High Stakes
Medical
Situations
Patients Problems Clinicians Visits
Classic
paradigm
1 1 1 1
Operating room 1 1 Many 1
Acute complex
illness
1 Many Many 1 or more
4.3 Table: Comparison of classic paradigm with operating room and acute complex illness
ā¢ Complex acute illnessāmultiple disciplines,
roles, tasks
ā¢ Short time horizon, unplanned events,
uncertain data
14
15. Beyond the Classic Paradigm:
Uncertain, Complex, High Stakes Continued
Medical
Situations
Patients Problems Clinicians Visits
Classic
paradigm
1 1 1 1
Operating room 1 1 Many 1
Acute complex
illness
1 Many Many 1 or more
Emergency dept Many Many Many 1
4.4 Table: Comparison of classic paradigm with operating room, acute complex illness, and emergency department
ā¢ Simultaneous care of multiple acute and non-
acuteāvery short time horizon
ā¢ Planning for the unexpected, resources are often
constrained
ā¢ Coordination, cooperation, collaboration 15
16. Steps in the Classic Process
ā¢ What is the
matter?
ā Diagnosis
ā¢ What can be
done?
ā Treatment
ā¢ What will happen?
ā Prognosis
ā¢ Gathering data
ā¢ Analyzing findings
ā¢ Making a diagnosis
ā¢ Choosing
treatment
ā¢ Communicating the
plan
16
17. Health Care Processes and
Decision Making
Summary ā Lecture a
ā¢ Looked at types of information that
clinicians use in the course of managing
patients
ā¢ Defined the role and nature of a clinician
ā¢ Examined the classic paradigm of the
clinical process and also looked at some
alternate paradigms
ā¢ Correlated patient questions with
diagnostic process 17
18. Health Care Processes and
Decision Making
References ā Lecture a
References
Alfaso-LeFevre, R. (2017). Critical thinking, clinical reasoning and clinical judgment: A practical
approach. 6th ed. Philadelphia, PA: Elsevier.
Evans, D. A., & Gadd, C. S. (1989). Managing coherence and context in medical problem-solving
discourse. In Evans D. A., & Patel V. L. (Eds.), Cognitive science in medicine: Biomedical
modeling. Cambridge, MA: MIT Press, 211ā255.
Friedman, C. P. (2009). A Fundamental theorem of biomedical informatics. NCBI Resources. Journal
of the American Medical Informatics. Retrieved from
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2649317/
Hunter, K. M. (1991). Doctors' stories: The narrative structure of medical knowledge. Princeton
University Press.
Kassirer, J., Wong, J. & Kopelman, R. (2009). Learning clinical reasoning (2nd ed). Lippincott,
Williams & Wilkins, 332.
Trotter, W. (n.d.) Quotation. āDisease often tells its secrets in a casual parenthesis.ā
Van Roy K., Vanheule S. & Deveugele M. (2013) What makes up good consultations? A qualitative
study on GPās discourses. BMC Family Practice, May 16;14:62. Retrieved from
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662575/
18
19. Health Care Processes and
Decision Making
References ā Lecture a Continued
Charts, Tables, Figures
4.1 Table: Types of information that clinicians utilize when making decisions (Slide 6)
4.2 Table: Comparison of classic paradigm with operating room (Slide 12)
4.3 Table: Comparison of classic paradigm with operating room and acute complex illness (Slide 13)
4.4 Table: Comparison of classic paradigm with operating room, acute complex illness, and emergency
department (Slide 14)
19
20. The Culture of Health Care
Health Care Processes and
Decision Making
Lecture a
This material was developed by Oregon Health &
Science University, funded by the Department of
Health and Human Services, Office of the National
Coordinator for Health Information Technology
under Award Number IU24OC000015. This
material was updated in 2016 by Bellevue College
under Award Number 90WT0002.
20
Editor's Notes
No audio. Recording preparation.
Welcome to The Culture of Health Care: Health Care Processes and Decision Making. This is Lecture a.
The component, The Culture of Health Care, addresses job expectations in health care settings. It discusses how care is organized in a practice setting, privacy laws, and professional and ethical issues encountered in the workplace.
The objectives for Health Care Processes and Decision Making are to:
Describe the elements of the āclassic paradigmā of the clinical process.
List the types of information used by clinicians when they care for patients.
Describe the steps required to manage information during the patient-clinician interaction.
List the different information structures or formats used to organize clinical information.
Describe different paradigms and elements of clinical decision making.
Explain the differences among observations, findings, syndromes, and diseases.
Describe techniques or approaches used by clinicians to reach a diagnosis.
List the major types of factors that clinicians consider when devising a management plan for a patientās condition in addition to the diagnosis and recommended treatment.
Describe the role of EHRs and technology in the clinical decision-making process.
This lecture is concerned with health care processes and decision making.
In this paradigm, the basic assumption is that a single patient is interacting with a single clinician about a single problem during a single episode of care. Various tools may be used to mediate the interaction, including medical records, computers, medical devices, medical diagnostic equipment, and clinical information systems such as the electronic health record, or EHR [E-H-R], and clinical decision support systems. Electronic communication tools such as email and patient portals play a key role in supporting the patient and clinician interaction. This discussion focuses on the one-patient, one-problem, one-clinician, one-episode of care scenario, in part because itās realistic in many situations and also because it helps to bound the problem. Note, however, that itās not uncommon for a single patient to have multiple problems and diagnoses that require multiple clinicians and visits to achieve problem resolution.
This classic paradigm is somewhat analogous to whatās been called the ācentral theorem [theer-uhm] of health informatics [in-fer-mat-iks].ā The central theorem was articulated by Chuck Friedman [freed-muhn], and his assumption in this theorem is that a human being working in the health care field will perform better when assisted by properly designed computer tools than when working alone. Most people working in biomedical informatics carry this assumption as the foundation of their work even when itās unstated. Similarly, the classic paradigm is operative in many discussions, even when itās unstated. The paradigm is often assumed not only during the clinical process, such as when making diagnostic or treatment decisions, but also during the interaction between clinicians and technologyāfor example, the interaction between the physician and the EHR.
Because a common scenario involves a single patient with a single problem being addressed by a single clinician during a single visit, technologies have been developed that support this one-to-one-to-one-to-one arrangement.
This lecture also discusses health care configurations in which computer tools need to be designed to serve other purposes, but for now, the focus is on this classic concept of the patient-clinician relationship.
This unit frequently uses the word clinician [kli-nish-uh n] to refer to the individual who is providing care. Itāll be helpful to define this term more precisely. Here, clinician does not refer to a person who has any particular degree or educational background. After all, a person with a degree in nursing may be in a senior administrative position, serving as the CEO, for instance. Most people wouldnāt call that work clinical. Similarly, a person with a doctorate in medicine may be developing computer systems or running a health insurance plan, and these forms of work arenāt clinical either. However, the work of patient care is performed by people with a variety of educational and training backgrounds who may be considered clinicians. For the purposes of this lecture, the clinician is a person who possesses the following attributes.
First, a clinician is someone who possesses specialized knowledge, typically obtained through formal education, such as in a medical, nursing, or pharmacy school.
Second, a clinician is someone who has received extensive experiential training. For example, fields such as nursing and medicine require post-classroom learning, substantial training, and practice under supervision so that the clinician learns how to apply formal knowledge in practice. In addition, state licensure is typically required for these clinicians to practice at their full capacity.
Third, a clinician is a person who has a relationship with the patient and is directly involved in the care of the patient. Regardless of a personās training, indirect activities such as setting policy about patient care donāt constitute clinical work, whereas direct interactions with the patient are considered clinical activities.
Fourth, a clinician is someone who combines his or her knowledge, training, and experience to make decisions about patient care, such as assessment or management of the patient.
Fifth, a clinician is a person who is expected to act in the best interest of the patient. This duty is called a fiduciary responsibility, similar to that of a trustee for a trust or a board member for an organization. Clinicians are expected to make choices and perform actions that arenāt in their own best interest but instead are best for the patient.
Sixth, the clinician integrates diverse types of information, including not only individual knowledge of the patient and medical knowledge acquired in training but also information about local resources and constraints, as discussed later.
Seventh, clinicians are almost always functioning within significant time and resource constraints.
A clinician, then, is a personāwhether a neurosurgeon, a nurse, a clinical pharmacist, or a physical therapistāwho possesses these attributes.
Clinicians use many different types of information while assessing and managing patients. The table lists five types of information that clinicians commonly use.
The first type of information is patient data, or information thatās specific to an individual person, such as whether he or she has allergies, a history of diabetes, or a heart murmur. This information can be obtained from various sources: the patient, the patientās family or friends, medical records, the patientās personal health record, and/or the clinicianās own observations while conducting the history and physical examination. Relevant patient information also may be electronically obtained through access to another health system provider or a health information exchange.
The second type of information is population statistics, which is data that has been aggregated [ag-ri-geyt-ed] from individual patients. One version of population statistics is a clinicianās informal knowledge of recent local history, such as recent flu outbreaks or a resurgence of whooping [hoo-ping] cough, which may be relevant to the findings in a particular case. A more formal version of population statistics might be a public health department publication about the frequency of diseases in a particular locale or a population-based report obtained from a clinicās or hospitalās EHR system.
The third type of information is medical knowledgeāthe rules or conclusions about health and health care that are relevant not just to the individual patient but are generalizable to many persons. This information may be obtained from textbooks, whether electronic or in print form; from reviews in journal articles; or from the medical literature.
The fourth type of information, which is surprisingly useful for clinicians, is called logistic information. It focuses on how to get things done rather than on what to do. For example, the question isnāt whether a particular medication is indicated for a particular patient, but how to obtain that medication or how to get it paid for; it isnāt whether a particular type of surgery is indicated for a patient, but which surgeon is available to perform it and how he or she may be reached. This type of information may be available from informal sources, such as the organizational knowledge of staff in the clinic or hospital, or formal sources, such as policy and procedure manuals, directories, and other institutional documents. The insurance companies play a key role in care logistics, for example, by identifying preferred physicians and health care providers, covered and non-covered services, and other non-clinically based community services.
The fifth type of information that physicians often use is called social influence, or the impact of othersā job performance on the clinicianās decisions. Clinicians may not always conform exactly to the practices of others, but in general they like to know how other clinicians are managing particular problems and whether their own practices align relatively well with those of others.
In studying clinicians and their reasoning and decision-making processes, itās helpful to remember that all of these types of information may be brought to bear at various stages of the process.
In addition to using many different types of information, clinicians organize and reorganize information in several ways as they manage a patient. Information typically begins in a narrative structure, becomes rearranged into a highly structured history and physical format, and then is rearranged again into meaningful groupings in a hierarchy, as described by Evans and Gadd [gad]. The manner of recording information, such as the SOAP [soap] (subjective, objective, assessment, and plan) note, can be helpful in supporting the clinicianās thinking, and other ad hoc structures are used as needed.
With the use of clinical information systems, much of the diagnostic information, such as lab results, radiology results, and data from medical devices, is provided to the clinician in electronic format. Each clinician typically enters his or her patient assessment, notes, and treatment plan directly into the EHR or clinical information system. This system provides a central location where all clinicians engaged in the patientās care can access patient information and document their own clinical actions in a single electronic patient record, presenting a complete picture of the patientās care and progress.
Also, patient information may be aggregated or reformulated in an electronic manner that supports reporting capabilities, such as clinical decision support, quality improvement activities, and research, based on patient populations.
Although a great deal of effort is devoted to giving structure to clinical data, the narrative structure is pervasive throughout the clinical process. This slide contains an old saying in health care, attributed to Wilfred Trotter, that says, [quote] āDisease often tells its secrets in a casual parenthesis.ā [end quote] This means that despite the clinicianās attempt to elicit useful information about the patientās problem by asking pointed and directed questions, critical clues may emerge only when the patient is simply allowed to tell his or her story. In fact, the clinical process almost always begins and very often ends with a narrative.
Kathryn Montgomery Hunter has examined some of the many ways that stories are used and why theyāre important to the health care system. First, stories are the principal communication between patient and clinician. Before asking direct and pointed questions, clinicians are taught to ask open-ended questions that allow the patient to tell his or her story in its native form. The patientās narrative enables the clinician not only to find facts embedded in the stories that are meaningful for generating a diagnosis but also to understand the meaning of the illness for the patient. Listening to the story is an important part of relationship building and may have therapeutic value on its own. The clinicianās attentive listening can be a very important aspect of the quality of care as perceived by the patient.
Stories or structured narratives are also a form of efficient communication among clinicians when discussing the patient. Storytelling in health care settings is an important part of the hidden curriculum through which values and ethics are communicated, often informally. Unfortunately, our modern and often fragmented health care system doesnāt always deal well with stories because of the constraints of time, the multidisciplinary process, and other factors. As a result, clinicians may eliminate or alter stories, reduce opportunities to hear them, or extract information from them incorrectly, losing important context or details.
As clinicians gather information and decide what to do for each patient, their interpretation of the data depends on many factors.
First, there are professional and disciplinary differences. A neurologist and a psychiatrist examining the same patient may elicit and focus on very different information and make different sense of it. Clinicians may also use differing approaches to interpreting clinical data as they attempt to reach a diagnosis.
When observing clinicians working in groups, it becomes apparent that an important part of interpretation, especially in interdisciplinary care, is social construction, or the meaning that arises as clinicians discuss a patient. Social construction can be observed in settings such as the intensive care unit. During ICU rounds, the conversation among the participants often allows insight and consensus to emerge.
Perhaps most important, cliniciansā interpretation of data depends on contextāthe patientās context, the clinicianās context, the setting, and other factors. A single piece of information may have very different implications depending on these contexts.
This slide depicts the classic paradigm with one patient, one problem, one clinician, and one visit, and compares it to an alternate situation, the operating room. Surgical procedures usually involve one visit and are concerned with one problem in a single patient. During surgical procedures, however, many clinicians from many disciplines may participate in the process and share information and collaborate in a synchronous fashion. The setting is also characterized by a relatively short time horizon and a fairly narrow clinical focus as well as substantial advance planning and rich resource availability. These differences may have implications for the kinds of health information technologies that will be helpful to the clinicians involved.
Another setting that differs from the classic paradigm is complex acute illness. In this setting, one patient may be cared for in one or more visits by multiple clinicians dealing with multiple health problems. For example, the patient may have lung disease, kidney disease, joint disease, an infection, or preexisting chronic conditions such as diabetes and hypertension. In this scenario, multiple clinicians may perform multiple tasks over one or several patient visits. Thereās often a short time horizon as well as unplanned events. Additionally, thereās almost always a great deal of uncertainty about some of the data, especially in critical care settings that tend to be focused on immediate goals. Because of unanticipated events and uncertain data, clinicians must remain flexible to allow dynamic re-planning as necessary. Clinical information systems designed for such a context might have different requirements than those designed for simple one-to-one settings.
Yet another example in which health care goes beyond the classic paradigm is the emergency department. Here there are many patients with many different clinical problems being treated simultaneously by many different clinicians, usually involving a single visit, although in some cases there may have been previous episodes of care. Both acute and non-acute conditions must be treated. The very short time horizon in emergency departments is captured in the expression ātreat āem and street āem,ā because of the need to constantly keep things moving. Clinicians must be prepared for the unexpected, even in the face of significant resource constraints. Also mandatory are effective coordination, cooperation, and collaboration among the many individuals participating in the care. This is especially critical when the patient is admitted directly from the emergency department to an inpatient or critical care hospital setting. Once again, these factors may have a significant influence on the kinds of information technology and clinical information systems used in this setting.
Having considered several health care scenarios, this slide returns to the classic paradigm. People who consult with a clinician are, in general, looking for the answers to three questions: Whatās the matter? What can be done about it? What will happen to me? These questions correspond to the classic steps that clinicians take to make a diagnosis, recommend treatment, and make a prognosis. The remainder of this unit examines how clinicians gather data from the patient, analyze findings within that data, make sense from it to reach a diagnosis, consider that diagnosis along with many other contextual factors to recommend a treatment or management plan, and finally communicate their results to a variety of interested parties.
This concludes Lecture a of Health Care Processes and Decision Making. In summary, this lecture looked at the central theorem of health informatics and at the types of information that clinicians use while managing patients. The role and nature of a clinician were defined, the classic paradigm of the clinical process was outlined, and some alternative paradigms were discussed. The typical questions that patients ask were correlated with the classic steps that clinicians use to make a diagnosis and devise a treatment plan.