Maccabi is the second largest HMO in Israel. It covers 1.85 million people (24.5% 0f the population)...
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Transcript of Maccabi is the second largest HMO in Israel. It covers 1.85 million people (24.5% 0f the population)...
Maccabi is the second largest HMO in Israel. It covers 1.85 million people (24.5% 0f the population)
It is a recognized health fund within the framework of the Israeli National Health Insurance Law
Maccabi is responsible for providing insurance cover for all services included in the public basket of services
It supplies services to its members both via its own facilities and through outside providers
Maccabi Healthcare Services
The Maccabi Heathcare System is Highly ComputerizedThe Maccabi Heathcare System is Highly Computerized
Every provider uses the Maccabi Electronic Medical Record
Every transaction with the patient is computerized
The Central Medical Record contains all computerized patient data –gives doctor access to all information on the patient
The E-Laboratory-electronic referrals, automatic test results to doctor’s computer, patient website
The E- Prescription
E- Consultation
Telemedicine
Alerts and Reminders
Patient Website including Patient Health Record
Chronic Diseases Is the Major Threat and Challenge of our Century
Nearly 70-80% of health care costs are a result of chronic disease
Chronic Disease accounts for 60% of all deaths and 43% of the global burden of disease
70% of the disease burden is from 5 chronic conditions Congestive heart failure Asthma Coronary artery disease. Diabetes Depression
People with chronic conditions only receive 56.1% of recommended care
Disease management is a High Priority everywhere to reduce complications and deaths
Chronic Disease Management using Chronic Disease Management using edBPM edBPM
Modern approaches to disease management focus on “patient empowerment”
Two types of technologies in use today: Remote monitoring of patients using sensors/devices
that transmit to professional call center Patient websites with structured programs for DM
The edBPM approach: complex event processing disease management web-based program to assimilate information from multiple source events (sensors, patient input, doctor’s electronic record), macro level analysis as complex event, take action in real time.
Scenario – Diabetes ManagementScenario – Diabetes Management
Harry Jung is a married man of 50 who was diagnosed with Diabetes Mellitus
type 2 ten years ago. He is generally careful about his diet, has a regular
exercise regimen and his HbA1c levels indicate that his disease is in control
and stable. He is enrolled in an interactive web-based (EaSSY edBPM
platform) diabetes disease management program. He weighs himself once a
week and the results are transmitted to the program. Likewise, he measures
his blood pressure once a week and he measures his sugar levels daily with a
glucometer. These measures are transmitted and entered into his interactive
disease management program. He has been instructed to enter the system
once a month to monitor his overall trends and provide a subjective report
about his well being.
This month, he entered the program, and upon entry it
notified him that although he had not yet reached levels that
would generate an alert, he is exhibiting a steady trend of
increase in glucose levels as well as a small but steady
increase in his weight. The program also informs him that he
has not had an eye checkup in over a half a year, he has not
had a foot checkup in more than a year and he is overdue for
his HbA1c test. Therefore, he is instructed to make an
appointment with his doctor. The program connects him
automatically to the doctor's web-based appointment system
so that he can schedule an appointment. In addition, the
program will ask him additional questions about his diet and
exercise regime and give him interim instructions to follow in
the meantime until he has his appointment with his doctor.
Scenario
Action 1: Weekly transmission glucose levels, Blood Pressure to internet DM program
Event Type: Date, time, Data - glucose level, BP, height, weight
Source: Sensors and medical devices in patient’s home
Business processes: Comparison of input with norms. Time series comparison
Human Dialogue: Trend analysis and result
Action 2: Bimonthly update of program from doctor’s electronic medical record
Event Type: Date, time, test results, treatments, date last performed, drugs
Source: Electronic medical record doctor’s computer
Business processes: Comparison of information with business rules for required intervals for performing tests, treatments, visits, compare test results with norms
Human Dialogue: Generation of exception list ( lack of conformity to rules)
Action 3: Henry Jung opens internet DM site for monthly review
Event Type: Date, time, recognition of patient entry (user name, password)
Source: patient’s home computer
Business processes: processing of accumulated results of information, correlation between trends of results from devices, tests, exception list from EMR
Human Dialogue: Presentation of results to Henry
Scenario
Action 4: Henry Initiates interactive program, questions and answers
Event Type: alerts: steady increase in glucose levels and weight; notification that he is overdue for tests, checkups
Source: Disease management program
Business processes: answers to Henry’s questions, automatic connection with Henry’s doctor’s web appointment schedule
Human Dialogue: Options for appointments
Action 5: Henry chooses a time and date for doctor appointment and eners it
Event Type: makes appointment in response to patient choice of date and time
Source: Henry’s input from home computer
Business processes: Process and confirm time and date op appointment in doctor’s appointment calendar according to rules governing the appointment
Human Dialogue: Notification of doctor’s clinic and confirmation to Henry of appointment with optional reminder to cellular phone
EMR
Doctor InputDoctor Input
Case Management Record Devices
NurseNursePatientPatient
Drugs, Vital Signs
Input Analysis Confirmation within
Parameters
Deviation from Parameters
Moderate Severe
Re measure within
Parameters
Continued Deviation from Parameters
Ask for Additional info from Patient
Notify Nurse Update EMR and Case Management Record
Instructions for Resting ,Changes in Drugs,
Eating etc.
Follow Up
Re measure
Schedule Visit in Doctor`s Clinic
Alert
Order Ambulance, Notify ER
OR
WebReport
Doctor
Nurse