Healthcare
26 columns
100 rows
8 formats

Medication Therapy Management (MTM) Programs

This dataset provides a comprehensive record of Medication Therapy Management (MTM) programs, including patient demographics, chronic conditions, pharmacist interventions, medication reviews, action plans, and Medicare eligibility. It enables detailed analysis of therapy optimization, intervention effectiveness, and compliance with chronic disease management protocols in healthcare settings.

last updated 2 Nov 2025
by GoMask

The brief that made it

Evaluating effectiveness of pharmacist interventions in chronic disease management

Sample rows

preview · 8 of 100 rows · all 26 columns

mtm_program_idstring	mtm_outcome_statusstring	follow_up_requiredboolean	chronic_conditionsstring	patient_idstring	patient_first_namestring	patient_last_namestring	patient_date_of_birthdate	patient_genderstring	patient_street_addressstring	patient_citystring	patient_statestring	patient_postal_codestring	patient_countrystring	mtm_enrollment_datedate	mtm_eligibility_statusstring	comprehensive_medication_review_datedate	pharmacist_idstring	pharmacist_first_namestring	pharmacist_last_namestring	intervention_typestring	intervention_datedate	medication_action_planstring	therapy_optimization_recommendationsstring	follow_up_datedate	intervention_notesstring
MTM00001	ongoing	true	hypertension, diabetes	PAT1001	James	Miller	1952-08-15	male	1580 Oakridge Dr	Houston	TX	77054	USA	2023-04-12	eligible	2023-06-10	PHRM001	Ashley	Wong	adherence_counseling	2023-06-10	Daily pillbox recommended. Set phone reminders.	Evaluate ACE inhibitor dosage at next visit.	2023-07-01	Patient counseled on importance of daily medication adherence.
MTM00002	completed	false	asthma, osteoporosis	PAT1002	Patricia	Smith	1947-12-05	female	1942 Kingwood Rd	Dallas	TX	75230	USA	2022-11-20	eligible	2023-01-07	PHRM002	John	Nguyen	dose_adjustment	2023-01-07	Monitor bone density every 6 months.	Consider vitamin D supplement.	blank	Adjusted steroid inhaler dose to minimize side effects.
MTM00003	pending	true	COPD	PAT1003	Robert	Johnson	1963-03-21	male	10 Westfield Ave	Chicago	IL	60616	USA	2023-05-03	pending	2023-05-15	PHRM003	Rachel	Patel	drug_interaction_review	2023-05-15	Monitor for increased coughing.	Switch to alternative antibiotic if symptoms worsen.	2023-06-05	Identified minor interaction between inhaler and antibiotic.
MTM00004	completed	true	hyperlipidemia	PAT1004	Linda	Williams	1975-09-11	female	5443 Sycamore St	San Francisco	CA	94121	USA	2023-02-16	not_eligible	2023-03-22	PHRM004	Michael	Lee	therapy_optimization	2023-03-22	Increase statin dose, recheck cholesterol in 3 months.	Lifestyle modification counseling provided.	2023-06-22	Reviewed statin therapy, recommended dose increase.
MTM00005	ongoing	true	diabetes	PAT1005	Michael	Brown	1987-04-29	male	7301 Willow Dr	Austin	TX	78727	USA	2023-07-18	eligible	2023-07-20	PHRM005	Sarah	Gonzalez	adherence_counseling	2023-07-20	Use insulin pen for easier dosing.	Monitor A1C every 3 months.	2023-08-18	Patient educated on insulin administration.
MTM00006	discontinued	false	arthritis, hypertension	PAT1006	Barbara	Garcia	1956-02-10	female	66 Elm St	Phoenix	AZ	85014	USA	2022-12-05	eligible	2023-01-15	PHRM001	Ashley	Wong	dose_adjustment	2023-01-15	Switch to acetaminophen if pain persists.	GI protective therapy considered.	blank	Reduced NSAID dose due to GI symptoms.
MTM00007	ongoing	true	depression	PAT1007	William	Martinez	1999-11-21	male	2203 Cedar Road	Miami	FL	33157	USA	2023-06-11	not_eligible	2023-06-19	PHRM006	David	Kim	therapy_optimization	2023-06-19	Increase dose, monitor for side effects.	Referral to behavioral health suggested.	2023-07-15	Reviewed antidepressant therapy for effectiveness.
MTM00008	completed	false	asthma	PAT1008	Elizabeth	Rodriguez	1969-05-09	female	1811 Ocean Blvd	San Diego	CA	92103	USA	2023-03-21	eligible	2023-04-09	PHRM007	Melissa	Davis	adherence_counseling	2023-04-09	Demonstrate inhaler technique at next visit.	No changes recommended.	blank	Discussed inhaler technique and adherence.
MTM00009	pending	true	heart failure	PAT1009	Christopher	Hernandez	1948-06-19	male	894 Pine Lane	Seattle	WA	98115	USA	2022-09-29	pending	2022-12-15	PHRM008	Emily	Clark	drug_interaction_review	2022-12-15	Add potassium monitoring.	Consider beta blocker adjustment.	2023-01-15	Reviewed all cardiac meds for interactions.
MTM00010	ongoing	true	hypertension	PAT1010	Susan	Lopez	1971-01-01	female	924 Cherry St	Denver	CO	80206	USA	2023-08-02	eligible	2023-08-15	PHRM009	Brian	White	adherence_counseling	2023-08-15	Use weekly pill organizer.	No medication changes.	2023-09-12	Patient missing doses due to busy schedule.
MTM00011	completed	false	migraine	PAT1011	Jessica	Lee	1980-07-23	female	1305 Walnut St	Detroit	MI	48215	USA	2023-01-18	not_eligible	2023-02-01	PHRM010	Matthew	Young	therapy_optimization	2023-02-01	Trial triptan, monitor response.	Avoid triggers.	blank	Recommended switching to triptan for acute attacks.
MTM00012	ongoing	false	diabetes, hypertension	PAT1012	Charles	Moore	1954-05-30	male	2156 Lakeview Dr	Portland	OR	97201	USA	2023-04-18	eligible	2023-05-10	PHRM011	Samantha	Thomas	drug_interaction_review	2023-05-10	Continue current regimen.	Monitor blood pressure monthly.	blank	No significant interactions found.
MTM00013	ongoing	true	COPD, arthritis	PAT1013	Mary	Taylor	1958-10-08	female	847 Pinecrest Dr	Atlanta	GA	30342	USA	2022-10-10	eligible	2022-11-18	PHRM012	Kevin	Jackson	adherence_counseling	2022-11-18	Set reminders using phone alarm.	Consider once-daily inhaler.	2022-12-18	Patient reports difficulty remembering inhaler.
MTM00014	ongoing	false	hyperlipidemia	PAT1014	Joseph	Anderson	1966-12-17	male	3902 Harvard Ave	Boston	MA	02115	USA	2023-03-29	not_eligible	2023-04-08	PHRM013	Linda	Martinez	therapy_optimization	2023-04-08	Increase dose, repeat lipid panel.	Encourage dietary changes.	blank	Recommended statin dose titration.
MTM00015	ongoing	true	heart failure, diabetes	PAT1015	Karen	Thomas	1950-11-29	female	2738 Magnolia Ave	Charlotte	NC	28208	USA	2023-02-22	eligible	2023-03-02	PHRM014	Eric	Robinson	dose_adjustment	2023-03-02	Monitor weight daily.	Reassess dose at next visit.	2023-04-02	Adjusted diuretic dose to reduce swelling.
MTM00016	pending	false	asthma	PAT1016	Nancy	Jackson	1961-06-10	female	807 Maple St	Baltimore	MD	21218	USA	2022-08-23	pending	2022-09-10	PHRM015	Jessica	Hall	adherence_counseling	2022-09-10	Practice inhaler technique daily.	Evaluate for long-acting inhaler.	blank	Counseled on inhaler technique.
MTM00017	ongoing	true	depression	PAT1017	Paul	White	1993-04-03	male	3520 North St	Minneapolis	MN	55411	USA	2023-07-22	not_eligible	2023-08-02	PHRM016	Jennifer	Perez	therapy_optimization	2023-08-02	Monitor mood weekly.	Refer to counseling.	2023-09-02	Switched to SSRI for better symptom control.
MTM00018	completed	false	hypertension	PAT1018	Donna	Harris	1944-03-13	female	2879 Spruce St	Las Vegas	NV	89109	USA	2023-05-12	eligible	2023-06-01	PHRM017	Steven	Edwards	drug_interaction_review	2023-06-01	Continue current therapy.	Home BP monitoring advised.	blank	No interactions detected.
MTM00019	ongoing	false	diabetes	PAT1019	Sarah	Clark	1965-02-27	female	7100 Oak St	Kansas City	MO	64114	USA	2023-06-13	eligible	2023-06-15	PHRM018	Mark	Ramirez	adherence_counseling	2023-06-15	Use daily logbook.	Monitor for hypoglycemia.	blank	Discussed insulin titration and missed doses.
MTM00020	ongoing	true	arthritis	PAT1020	Daniel	Lewis	1959-08-09	male	1589 South St	San Antonio	TX	78228	USA	2023-04-23	not_eligible	2023-05-05	PHRM019	Laura	King	therapy_optimization	2023-05-05	Trial biologic, monitor for side effects.	Follow up after 1 month.	2023-06-05	Recommended switch from NSAID to biologic.

What the 100 rows show

from the 100-row sample

Ongoing (mtm outcome status) stands out: 38 of its 53 rows have follow_up_required = true, against 7 of 47 for the rest.

45%follow_up_required = true
2patient genders
3mtm eligibility statuses
5intervention types

Follow up required rate by mtm_outcome_statusfollow_up_required = true

chronic_conditions86 rows with a value · 14 left blank

diabetes8
depression7
hypertension7
hypertension, diabetes6
hyperlipidemia6
arthritis6
asthma5
migraine5
COPD4
heart failure3

26 columns by typefrom the column list below

string 20
date 5
boolean 1

Columns

26 columns in three groups

blueprint · 26 columns
column	type	description	example
Text 20 columns
`mtm_program_id`	string	Unique identifier for the Medication Therapy Management (MTM) program recordunique	MTM00001
`patient_id`	string	Unique identifier for the patient enrolled in the MTM program	PAT1001
`patient_first_name`	string	Patient's first name	James
`patient_last_name`	string	Patient's last name	Miller
`patient_gender`	string	Patient's gendermale · female · other · unknown · optional	male
`patient_street_address`	string	Patient's street addressoptional	1580 Oakridge Dr
`patient_city`	string	Patient's city of residenceoptional	Houston
`patient_state`	string	Patient's state of residenceoptional	TX
`patient_postal_code`	string	Patient's postal codeoptional	77054
`patient_country`	string	Patient's country of residenceoptional	USA
`mtm_eligibility_status`	string	Medicare MTM eligibility status for the patienteligible · not_eligible · pending	eligible
`chronic_conditions`	string	Comma-separated list of chronic conditions for which the patient is receiving medication managementoptional	hypertension, diabetes
`pharmacist_id`	string	Unique identifier for the pharmacist conducting the MTM intervention	PHRM001
`pharmacist_first_name`	string	Pharmacist's first nameoptional	Ashley
`pharmacist_last_name`	string	Pharmacist's last nameoptional	Wong
`intervention_type`	string	Type of pharmacist intervention performed (e.g., adherence counseling, dose adjustment, drug interaction review)5 values	adherence_counseling
`intervention_notes`	string	Detailed notes about the pharmacist interventionoptional	Added topical NSAID.
`medication_action_plan`	string	Summary of the medication action plan developed for the patientoptional	Monitor weight daily.
`therapy_optimization_recommendations`	string	Recommendations for therapy optimization provided to the patientoptional	No changes recommended.
`mtm_outcome_status`	string	Status of the MTM program outcome for the patientcompleted · ongoing · discontinued · pending · optional	ongoing
Dates and times 5 columns
`patient_date_of_birth`	date	Patient's date of birth	1952-08-15
`mtm_enrollment_date`	date	Date the patient enrolled in the MTM program	2023-04-12
`comprehensive_medication_review_date`	date	Date of the most recent comprehensive medication reviewoptional	2023-06-10
`intervention_date`	date	Date the pharmacist intervention was performed	2023-06-10
`follow_up_date`	date	Scheduled date for follow-up (if required)optional	2023-07-01
True or false 1 column
`follow_up_required`	boolean	Indicates if a follow-up is required for the patient	true

Use it for

A healthcare dashboard
The follow_up_required rate, follow_up_required by mtm_outcome_status and a breakdown of chronic_conditions. Excel, Power BI or Tableau.
Why do 45 of 100 rows have follow_up_required = true?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Mtm programs100
MTM00001ongoing
MTM00002completed
MTM00003pending
A software demo
Believable mtm programs with patient_id, patient_first_name and patient_last_name to fill a screen in front of a buyer.

This dataset100 rows26 columns

Yours1,000 rows26 columnspatient_street_address: UK only

blueprint · medication-therapy-management-mtm-programs

Behind this dataset

Same schema. As many rows as you need.

These 100 rows came out of a blueprint — 26 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

MTM ID unique per patient encounter
Medicare eligibility: multiple chronic conditions, multiple medications, high drug costs
Comprehensive Medication Review (CMR) annually
Medication-related problems identified: non-adherence, adverse effects, suboptimal therapy
Pharmacist recommendations to prescriber
Medication Action Plan (MAP) provided to patient
Personal Medication Record (PMR) created
Follow-up interventions and targeted medication reviews

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: medication-therapy-management-mtm-programs

What should your data show?

No signup. No card.

Sample rows

What the 100 rows show

Columns

Use it for

A healthcare dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Healthcare

What should your data show?